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Top 15 IT Infrastructure Monitoring Software Solutions for Efficient Operations

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Top 15 IT Infrastructure Monitoring Software Solutions for Efficient Operations

Fedir Kompaniiets

DevOps and Cloud Architecture Expert Co-founder of Gart

June 10, 2023

best it infrastructure monitoring software

Table of contents

IT Infrastructure Monitoring Tools Comparison Table
Best IT Infrastructure Monitoring Software
In Closing

Ready to take your IT infrastructure to the next level? Discover the ultimate arsenal of monitoring tools and software in this blog post. From real-time insights to proactive alerts, we unveil the best IT infrastructure monitoring solutions that will empower your business operations and supercharge your success. Get ready to elevate your monitoring game and unlock the full potential of your infrastructure in today’s digital landscape.

IT Infrastructure Monitoring Tools Comparison Table

Software	Key Features	Supported Platforms	Pricing
SolarWinds NPM	Real-time network monitoring, bandwidth tracking, alerting	Windows	Paid, with free trial
PRTG Network Monitor	Network, server, and application monitoring, customizable dashboards	Windows, Linux	Freemium, paid plans
Nagios XI	Network, server, and application monitoring, customizable dashboards	Windows, Linux	Paid, with free trial
Zabbix	Network, server, and application monitoring, scalability	Windows, Linux	Free and open-source
Datadog	Cloud-based monitoring, infrastructure, application, and logs	Windows, Linux	Paid, with free trial
Dynatrace	Full-stack monitoring, automatic discovery, AI-powered insights	Windows, Linux	Paid, with free trial

IT Infrastructure Monitoring Tools & Software Table

Best IT Infrastructure Monitoring Software

Resource Management Framework (RMF)

We’ve created the Resource Management Framework (RMF), a scalable, cloud-agnostic solution for infrastructure monitoring, specifically designed for digital landfill management. RMF features a user-friendly dashboard, automated alerts, and seamless integration with tools like Microsoft Teams, enabling real-time monitoring and proactive issue resolution. Its flexibility ensures scalability across various cloud platforms, making it ideal for managing environmental operations globally.

Sematext Monitoring

Sematext Monitoring is a comprehensive monitoring solution that provides visibility into applications, infrastructure, and logs. It offers real-time insights, proactive alerting, and powerful analytics to ensure efficient operations.

Pros:

End-to-end monitoring: Sematext allows monitoring of applications, infrastructure components, and logs from a single platform.
Real-time insights: It provides real-time data and analytics, enabling quick identification and resolution of issues.
Proactive alerting: Sematext offers customizable alerting mechanisms, ensuring timely notifications for critical events.
Powerful analytics: The tool provides advanced analytics and visualizations for deep performance analysis.
Easy integration: It seamlessly integrates with various technologies, including cloud platforms, containers, and popular frameworks.

Cons:

Learning curve: Users may require some time to familiarize themselves with the tool’s features and configurations.
Pricing: The pricing structure of Sematext Monitoring may not be suitable for smaller organizations or those with budget constraints.
Complexity for simple setups: The extensive feature set of Sematext Monitoring may feel overwhelming for simpler infrastructure setups.

Sematext infrastructure monitoring tool offers different pricing plans based on the specific monitoring needs of the organization. It typically operates on a subscription-based model with pricing determined by factors such as infrastructure size, data retention requirements, and additional features. It’s advisable to contact Sematext directly for detailed pricing information tailored to your organization’s needs.

Need infrastructure monitoring services? Contact us today to ensure the optimal performance and reliability of your IT infrastructure.

The Elastic Stack

The Elastic Stack is a powerful and versatile set of open-source tools designed for log management, data analytics, and visualization. It consists of Elasticsearch, Logstash, Kibana, and Beats, providing a comprehensive solution for collecting, storing, searching, and analyzing data.

Pros:

Scalable and flexible: The Elastic Stack can scale to handle large amounts of data and is adaptable to different use cases and environments.
Full-text search capabilities: Elasticsearch, the core component, offers robust search functionality for fast and efficient data retrieval.
Rich data visualization: Kibana allows users to create interactive visualizations and dashboards, enabling easier data exploration and insights.
Integration capabilities: The Elastic Stack can integrate with various data sources, systems, and third-party tools, enhancing its versatility.
Active community and support: With a large and active user community, there is extensive documentation, resources, and community support available.

Cons:

Complexity: The Elastic Stack can be complex to set up and configure, especially for users with limited experience or expertise.
Resource-intensive: Running and maintaining the Elastic Stack may require significant hardware resources and expertise.
Learning curve: Due to its extensive feature set, there may be a learning curve for users new to the Elastic Stack.

The Elastic Stack is available as open-source software, which means the core components are free to use. However, Elastic, the company behind the Elastic Stack, offers additional features, management tools, and support through various subscription plans. The pricing for these commercial offerings is based on factors such as data volume, deployment size, and desired features. It’s recommended to visit the Elastic website or contact their sales team for detailed pricing information.

Prometheus

Prometheus is a popular open-source monitoring and alerting system designed for gathering and analyzing metrics from various components in a distributed IT infrastructure. It is known for its scalability, flexibility, and robust features.

Pros:

Powerful metrics collection: Prometheus can efficiently collect metrics from different sources, including applications, servers, and network devices.
Flexible query language: It offers a flexible query language called PromQL, enabling users to retrieve and analyze metrics with ease.
Dynamic alerting and notification: Prometheus allows the creation of custom alert rules and supports integrations with various notification channels.
Scalable architecture: It is designed to handle large-scale environments and provides horizontal scalability options.
Active community and ecosystem: Prometheus has a thriving community, resulting in extensive documentation, integrations, and support.

Cons:

Initial learning curve: Getting started with Prometheus may require some familiarity with its concepts and query language.
Complex configuration: Setting up Prometheus for complex environments can be challenging and time-consuming.
Limited long-term storage: By default, Prometheus offers limited long-term data retention, although this can be extended with additional components or integrations.

Prometheus is an open-source tool and available for free. However, it’s important to consider the costs associated with hosting, maintaining, and scaling the infrastructure required to run Prometheus effectively. Organizations may also need to allocate resources for dedicated personnel or seek professional support if required.

Zabbix

Zabbix is a robust open-source monitoring solution that provides comprehensive visibility into the performance and health of IT infrastructure components. It offers a wide range of features for monitoring networks, servers, applications, and other devices.

Pros:

Extensive monitoring capabilities: Zabbix supports monitoring of diverse infrastructure components, including network devices, servers, virtual machines, databases, and more.
Flexible and customizable: It allows for extensive customization and flexible configuration options to adapt to various monitoring needs.
Advanced alerting and notification: Zabbix provides customizable alerting mechanisms, enabling timely notifications for critical events via email, SMS, or other channels.
Rich visualization and reporting: The tool offers a variety of visualizations, graphs, and reporting options to analyze and present monitoring data effectively.
Active community and ecosystem: Zabbix has a large and active user community, resulting in continuous development, frequent updates, and extensive documentation.

Cons:

Steeper learning curve: Setting up and configuring Zabbix may require a learning curve, especially for users with limited monitoring experience.
Resource-intensive: Running Zabbix may require adequate hardware resources, especially for larger infrastructures or high-frequency data collection.
Interface complexity: The user interface of Zabbix can be overwhelming for some users due to the abundance of features and configuration options.

Zabbix is an open-source tool available for free. However, it’s essential to consider costs related to hosting, maintaining, and scaling the infrastructure required to run Zabbix effectively. Organizations may also need to allocate resources for dedicated personnel or seek professional support if required.

SolarWinds Server & Application Monitor (SAM)

SolarWinds Server & Application Monitor (SAM) is a comprehensive monitoring solution designed to monitor servers, applications, and their underlying infrastructure. It offers a wide range of features to optimize performance, troubleshoot issues, and ensure the availability of critical systems.

Pros:

Easy deployment and configuration: SAM provides a user-friendly interface and offers automated discovery, making it quick and straightforward to set up monitoring for servers and applications.
Extensive monitoring capabilities: It supports monitoring for a variety of applications, servers, databases, virtualization platforms, and cloud environments, providing comprehensive visibility into the entire infrastructure.
Powerful alerting and remediation: SAM enables the creation of custom alerts based on specific performance thresholds, ensuring prompt notifications and proactive problem resolution.
Intuitive dashboards and reporting: The solution offers intuitive dashboards and reporting features to visualize performance metrics and generate insightful reports.
Integration with other SolarWinds products: SAM seamlessly integrates with other SolarWinds products, allowing for enhanced monitoring capabilities across the IT environment.

Cons:

Complexity for larger environments: Managing and configuring SAM in larger environments can be complex and may require additional resources and expertise.
Licensing costs: SolarWinds SAM is a paid solution, and the pricing can be a consideration for organizations with budget constraints.

SolarWinds SAM operates on a licensing model, with pricing based on the number of monitored components and the desired features. The exact pricing information can be obtained by contacting the SolarWinds sales team or visiting their website.

N-able RMM

N-able RMM (Remote Monitoring and Management) is a comprehensive IT infrastructure monitoring and management platform designed to simplify and streamline the management of IT environments. It provides a wide range of features to monitor, automate, and support IT infrastructure and endpoints.

Pros:

Centralized monitoring and management: N-able RMM offers a centralized platform to monitor and manage multiple devices, servers, applications, and networks from a single interface.
Proactive issue detection: It provides proactive monitoring capabilities, alerting administrators to potential issues before they escalate, enabling timely resolution and minimizing downtime.
Automation and scripting: N-able RMM allows for automation of routine tasks and scripting, reducing manual effort and increasing operational efficiency.
Patch management: The platform includes patch management features to ensure that systems and software are up to date with the latest security patches and updates.
Remote control and support: It offers remote access and support capabilities, allowing administrators to troubleshoot issues and provide remote assistance to end-users.
Third-party integrations: N-able RMM integrates with other tools and systems, such as ticketing systems and PSA (Professional Services Automation) platforms, enhancing workflow and collaboration.

Cons:

Initial learning curve: The complexity of N-able RMM may require some time for administrators to familiarize themselves with the platform and its features.
Resource-intensive: Depending on the size of the IT environment, running N-able RMM may require sufficient hardware resources and bandwidth.
Pricing: N-able RMM is a commercial solution, and the pricing is based on factors such as the number of devices and endpoints being monitored. It’s advisable to consult with the N-able sales team for detailed pricing information.

N-able RMM follows a subscription-based pricing model. The cost varies depending on factors such as the number of devices, the desired features, and additional services required. For accurate pricing details, it is recommended to contact the N-able sales team or visit their website.

Datadog Infrastructure Monitoring

Datadog Infrastructure Monitoring is a robust cloud-based monitoring solution designed to provide comprehensive visibility into the performance and health of IT infrastructure components. It offers a wide range of features to monitor servers, databases, containers, and cloud environments.

Datadog Infrastructure Monitoring allows organizations to collect and analyze metrics, traces, and logs from various sources, providing real-time insights into the health and performance of their infrastructure. It offers advanced monitoring capabilities, customizable dashboards, and intelligent alerting to ensure proactive issue detection and resolution.

Datadog Infrastructure Monitoring tools.

Pros:

Comprehensive monitoring: Datadog Infrastructure Monitoring supports monitoring for diverse infrastructure components, including servers, databases, containers, and cloud services, providing a holistic view of the IT environment.
Real-time visibility: The solution offers real-time metrics and visualizations, enabling administrators to monitor infrastructure performance and quickly identify potential issues.
Powerful alerting and collaboration: Datadog allows the creation of custom alerts based on specific metrics, and provides integrations with collaboration tools, facilitating prompt notifications and efficient incident response.
Scalable and flexible: The platform can scale to accommodate growing infrastructure needs, making it suitable for businesses of all sizes. It also supports multi-cloud and hybrid environments.
Integration ecosystem: Datadog integrates with a wide range of popular technologies, including cloud providers, containers, orchestration tools, and application frameworks, enhancing its capabilities and versatility.

Cons:

Complexity for beginners: Datadog’s extensive feature set and configuration options may have a steeper learning curve for users new to the platform.
Pricing: Datadog is a commercial solution with pricing based on factors such as the number of hosts, metrics, and additional features required. It’s advisable to consult with the Datadog sales team for detailed pricing information.

ManageEngine OpManager

ManageEngine OpManager is a comprehensive IT infrastructure monitoring and management software designed to monitor network devices, servers, applications, and other IT resources. It offers a wide range of features to ensure the optimal performance and availability of IT infrastructure.

ManageEngine OpManager provides a unified platform for monitoring and managing IT infrastructure. It offers real-time monitoring, alerting, and reporting capabilities to help organizations maintain a robust and secure IT environment. With its intuitive interface and extensive feature set, OpManager simplifies network monitoring and troubleshooting processes.

Pros:

End-to-end monitoring: OpManager allows monitoring of network devices, servers, virtual machines, applications, databases, and other IT resources, providing comprehensive visibility into the entire infrastructure.
Automated discovery and mapping: The software automatically discovers network devices and maps their interconnections, making it easier to visualize the network topology.
Proactive alerting and remediation: OpManager sends real-time alerts for critical events, enabling administrators to take immediate action and resolve issues before they impact operations.
Performance analytics: The solution provides in-depth performance analytics, enabling administrators to identify bottlenecks, track resource utilization, and optimize the performance of IT infrastructure components.
Extensive reporting: OpManager offers pre-built and customizable reports to gain insights into the performance, availability, and health of the monitored infrastructure.
Integration capabilities: It integrates with other ManageEngine products and third-party tools, allowing seamless workflow integration and enhancing overall IT operations.

Cons:

Complexity for large deployments: OpManager may require additional configuration and resources to handle large-scale deployments or complex network environments.
Pricing: ManageEngine OpManager is a commercial product, and the pricing is based on factors such as the number of devices and the desired features. For detailed pricing information, it is recommended to contact the ManageEngine sales team.

PRTG Network Monitor

PRTG Network Monitor offers real-time monitoring of network devices, servers, applications, and services. It uses various protocols to collect data and provides an intuitive web-based interface to visualize and analyze the monitored data. With PRTG, you can proactively detect network issues, troubleshoot problems, and optimize network performance.

Pros:

Easy to use: PRTG Network Monitor features a user-friendly interface with simple configuration and setup, making it accessible for both beginners and experienced administrators.
Comprehensive monitoring: It supports a wide range of network devices, including routers, switches, servers, and virtual machines. It also offers application monitoring and can monitor bandwidth utilization, response times, and other network performance metrics.
Customizable alerts and notifications: PRTG allows you to set up custom alerts and notifications based on specific thresholds, ensuring you are promptly notified of any issues that may affect your network.
Reporting and analysis: The solution offers built-in reporting capabilities, allowing you to generate customized reports on network performance and usage trends. This helps with capacity planning and troubleshooting.
Scalability: PRTG is scalable and can adapt to networks of any size, from small businesses to large enterprises, making it suitable for various environments.
Active community and support: PRTG has an active user community and provides comprehensive support resources, including forums, knowledge base articles, and user manuals.

Cons:

Complexity for advanced configurations: While PRTG offers ease of use for basic configurations, more advanced configurations and setups may require additional expertise and time.
Pricing: PRTG Network Monitor offers various pricing options based on the number of sensors required. The pricing structure can become more expensive as the number of sensors and monitored devices increases. It’s recommended to consult with the PRTG sales team for detailed pricing information.

Nagios

Nagios offers a flexible and extensible monitoring framework that allows users to monitor various aspects of their IT infrastructure. It utilizes a plugin-based architecture, enabling users to customize and expand its functionality according to their specific monitoring needs.

Pros:

Versatility: Nagios can monitor a wide range of network devices, servers, applications, and services, making it suitable for diverse IT environments.
Extensibility: With its plugin architecture, Nagios can be extended to support additional monitoring capabilities and integrate with third-party tools, enhancing its functionality.
Customization: Users have the flexibility to define custom monitoring checks and thresholds, tailoring the monitoring to their specific requirements.
Alerting and notification: Nagios provides robust alerting mechanisms, allowing users to receive notifications via various channels (email, SMS, etc.) when issues are detected.
Community support: Nagios has a large and active community of users who contribute plugins, provide support, and share knowledge and best practices.

Cons:

Configuration complexity: Nagios configuration can be complex, especially for larger deployments or complex monitoring scenarios. It requires knowledge and expertise to set up and maintain effectively.
User interface: The user interface of Nagios may not be as intuitive or visually appealing as some commercial monitoring solutions, requiring users to spend time learning and navigating the interface.

Nagios is an open-source software and available for free. However, there are also commercial versions and plugins available that offer additional features, support, and services.

WhatsUp Gold

WhatsUp Gold offers network, server, and application monitoring for efficient infrastructure management. Gain real-time visibility, receive alerts, and analyze data to optimize performance.

With its intuitive interface and powerful features, WhatsUp Gold simplifies network monitoring, troubleshooting, and reporting processes.

WhatsUp Gold Infrastructure Monitoring tools.

Key Features:

Network monitoring: WhatsUp Gold offers real-time monitoring of network devices, interfaces, and traffic, providing visibility into network performance and availability.
Application monitoring: It enables monitoring of applications and services to ensure they are functioning properly and meeting performance metrics.
Server monitoring: WhatsUp Gold monitors servers, tracks resource utilization, and alerts administrators of any issues impacting server performance or availability.
Device monitoring: The software can monitor various devices, such as switches, routers, printers, and wireless access points, providing insights into device health and performance.
Alerting and notification: WhatsUp Gold sends customizable alerts and notifications when issues are detected, allowing administrators to take prompt action.
Reporting and analysis: The solution offers pre-built and customizable reports, allowing administrators to generate insights into network performance, availability, and historical trends.

Pros of infrastructure monitoring tool:

Easy-to-use interface: WhatsUp Gold provides an intuitive and user-friendly interface, making it accessible for both experienced administrators and beginners.
Comprehensive monitoring capabilities: It supports monitoring of a wide range of infrastructure components, including networks, servers, applications, and devices, providing a holistic view of the IT environment.
Proactive issue detection: WhatsUp Gold enables proactive monitoring and alerts administrators to potential issues before they impact operations, reducing downtime and enhancing productivity.
Scalability: The software can scale to accommodate growing infrastructure needs, making it suitable for small to large enterprises.
Integration capabilities: WhatsUp Gold integrates with various third-party tools and technologies, allowing seamless integration into existing IT environments.

Cons of infrastructure monitoring tool:

Advanced features may require additional configuration: Some advanced features and configurations may require additional expertise or technical knowledge to set up and utilize effectively.
Pricing: WhatsUp Gold is a commercial product, and pricing may vary based on the desired features, the number of monitored devices, and the level of support. It’s advisable to contact the Ipswitch sales team for detailed pricing information.

Pricing: WhatsUp Gold offers different pricing plans based on the number of monitored devices and the desired feature set. For accurate pricing details and to explore the available options, it is recommended to contact the Ipswitch sales team or visit their website.

New Relic

New Relic provides full-stack observability for applications and infrastructure. Monitor performance, traces, errors, and logs. Gain insights for efficient troubleshooting and performance optimization.

Key features of New Relic infrastructure monitoring tool:

Application Performance Monitoring (APM): New Relic provides detailed insights into the performance of applications, helping identify bottlenecks, slow response times, and errors. It offers code-level visibility and traces transactions across various components.
Infrastructure Monitoring: The software enables monitoring of servers, virtual machines, containers, and cloud resources. It provides real-time metrics, alerts for resource utilization, and helps optimize infrastructure performance.
Real User Monitoring (RUM): New Relic allows monitoring of user interactions with web applications, providing insights into user experience, page load times, and performance issues from different geographical locations and devices.
Synthetic Monitoring: It offers synthetic testing to simulate user interactions and monitor application availability and performance from different locations. This helps identify performance issues before they impact actual users.
Distributed Tracing: New Relic provides end-to-end visibility into complex distributed systems, allowing users to trace requests across multiple services and identify performance bottlenecks and latency issues.
Error and Log Analysis: The software aggregates and analyzes application errors and logs, providing insights into root causes and aiding in troubleshooting and debugging.
Scalability and Auto-Instrumentation: New Relic scales with your infrastructure and supports dynamic environments, providing automatic instrumentation for many popular frameworks and platforms.
Dashboards and Reporting: It offers customizable dashboards and reports, allowing users to visualize and share monitoring data, track performance trends, and generate insights for stakeholders.
Integration and Collaboration: New Relic integrates with various tools and platforms, enabling seamless collaboration across teams and providing a centralized view of monitoring data.
Alerting and Notification: The software allows setting up customizable alerts and notifications based on predefined thresholds, ensuring timely response to critical incidents.
Mobile Application Monitoring: New Relic provides monitoring capabilities for mobile applications, helping track performance, crashes, and user behavior.
API Monitoring: It offers monitoring of APIs to ensure their availability, response times, and adherence to SLAs.

Dynatrace

Dynatrace is an AI-powered observability platform that offers real-time monitoring of applications, infrastructure, and user experiences. Get automatic discovery, intelligent problem resolution, and proactive performance monitoring.

Key features of dynatrace infrastructure monitoring software:

Full-Stack Observability: Dynatrace provides end-to-end visibility across the entire technology stack, including infrastructure, applications, and user experiences. It offers deep insights into application performance, dependencies, and resource utilization.
AI-Powered Root Cause Analysis: Dynatrace utilizes artificial intelligence (AI) and machine learning (ML) algorithms to automatically detect anomalies, identify root causes of performance issues, and provide actionable insights for troubleshooting and optimization.
Real-Time User Experience Monitoring: The software captures and analyzes user interactions, providing real-time visibility into user experience and performance across different devices, browsers, and locations. It helps identify performance bottlenecks and optimize user satisfaction.
Automatic Baselining and Anomaly Detection: Dynatrace establishes baselines for performance metrics and automatically detects anomalies and deviations from normal behavior. It proactively alerts users to abnormal patterns, enabling quick identification and resolution of issues.
Continuous Performance Optimization: Dynatrace offers continuous performance optimization recommendations based on AI-driven analysis. It suggests optimizations to enhance application performance, resource utilization, and user experience.

AppDynamics

AppDynamics provides application performance monitoring and infrastructure visibility. Monitor application health, user experiences, and infrastructure dependencies for optimal operations.

Key features of AppDynamics infrastructure monitoring tool:

Application Performance Monitoring (APM): AppDynamics provides deep visibility into application performance, allowing users to identify and diagnose performance bottlenecks, errors, and latency issues. It offers code-level diagnostics and transaction tracing to pinpoint the root causes of performance problems.
Business Transaction Monitoring: The software enables monitoring of end-to-end business transactions, helping organizations understand how application performance impacts critical business processes and user experiences. It provides insights into response times, conversions, and other key business metrics.
Infrastructure Monitoring: AppDynamics offers infrastructure monitoring capabilities, allowing users to monitor the health, availability, and performance of servers, virtual machines, containers, and cloud resources. It provides real-time metrics and alerts for resource utilization and infrastructure-related issues.
Real-Time Analytics and Dashboards: AppDynamics provides powerful analytics and customizable dashboards to visualize and analyze monitoring data. It offers real-time insights into application and infrastructure performance, allowing users to track key metrics and performance trends.
Dynamic Baseline and Anomaly Detection: AppDynamics establishes dynamic baselines for performance metrics and automatically detects anomalies and deviations from normal behavior. It proactively alerts users to abnormal patterns, facilitating quick troubleshooting and issue resolution.
End-User Monitoring: The software allows monitoring and measuring the experiences of end users, capturing data on page load times, user actions, and errors. It helps organizations understand how users interact with their applications and identify areas for improvement.
Scalability and Cloud Readiness: AppDynamics is designed to scale with the growth of applications and infrastructure. It supports cloud-native environments and provides visibility into dynamic and distributed architectures.

Site24x7 Infrastructure Monitoring

Site24x7 Infrastructure Monitoring offers comprehensive monitoring for servers, networks, and cloud resources. Monitor performance, track uptime, and receive alerts for efficient infrastructure management.

Key features of Site24x7 IT infrastructure monitoring software:

Server Monitoring: Site24x7 allows monitoring of servers across different platforms and operating systems. It provides real-time visibility into server performance metrics such as CPU usage, memory utilization, disk space, and network traffic.
Network Monitoring: The software monitors network devices, interfaces, and traffic, helping identify network bottlenecks, latency issues, and connectivity problems. It provides insights into bandwidth utilization, packet loss, and network latency.
Application Performance Monitoring (APM): Site24x7 offers APM capabilities to monitor the performance of web applications and APIs. It tracks response times, transactions, and user experiences, enabling organizations to optimize application performance and user satisfaction.
Cloud Monitoring: Site24x7 supports monitoring of cloud infrastructure and services from providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). It provides visibility into resource utilization, availability, and performance of cloud-based applications and services.
Website Monitoring: The software offers website monitoring features to track website availability, response times, and performance from different geographical locations. It helps identify website downtime, errors, and slow page load times.
Alerting and Notification: Site24x7 sends customizable alerts and notifications via various channels (email, SMS, mobile push notifications) when performance thresholds are breached or critical issues are detected. It ensures timely response and minimizes downtime.
Reports and Dashboards: Site24x7 provides pre-built and customizable reports and dashboards to visualize and analyze monitoring data. It offers historical trends, SLA compliance reports, and executive-level summaries for effective decision-making.
Integration and Automation: Site24x7 integrates with popular IT tools and platforms, enabling seamless data exchange and automation. It supports integrations with incident management systems, IT service management (ITSM) tools, and collaboration platforms.

In Closing

To wrap up, selecting the right IT infrastructure monitoring software is vital for maintaining optimal system performance, availability, and security. The featured solutions in this blog post offer a range of powerful features, from real-time monitoring to automation and scalability. When making your choice, consider your specific requirements, including ease of use, integration capabilities, and pricing models. Remember, if you need assistance with your infrastructure monitoring needs, Gart is here to help. Our team of experts can provide guidance and support to ensure your systems are effectively monitored and optimized. Contact us today to learn more about how Gart can assist you in achieving reliable and efficient IT operations.

Revolutionize your IT infrastructure with our expert consulting! From seamless optimizations to robust security measures, we tailor solutions to elevate your technology backbone. Ready to transform?

FAQ

What are Infrastructure Monitoring Tools?

Infrastructure monitoring tools are software solutions designed to track and analyze the health, performance, and availability of IT infrastructure components such as networks, servers, applications, and databases. These tools provide real-time insights, generate alerts for potential issues or outages, and offer visualizations and reporting for better infrastructure management. By monitoring key metrics and data, infrastructure monitoring tools help organizations ensure optimal performance, identify bottlenecks, and proactively address issues to maintain a stable and efficient IT environment.

How to choose best it monitoring tools, software and systems for your infrastructure?

When choosing the best monitoring solution for your infrastructure, consider your specific needs, such as scalability, ease of use, integration capabilities, alerting features, reporting and analytics, total cost of ownership, and user reviews. Conduct trials or demos to evaluate functionality and ensure alignment with your infrastructure and business requirements.

Why is infrastructure monitoring important?

Infrastructure monitoring is important because it ensures the optimal performance, availability, and security of IT infrastructure components. It helps organizations identify and address issues proactively, minimize downtime, optimize resource utilization, and improve the overall efficiency and reliability of their systems. By monitoring critical metrics and generating alerts, infrastructure monitoring enables businesses to make informed decisions, maintain a stable IT environment, and deliver seamless services to users.

What kind of problems can be detected with infrastructure monitoring?

Infrastructure monitoring can detect various problems within an IT environment, including performance bottlenecks, network connectivity issues, server and application failures, security breaches, resource constraints, and abnormal system behavior. By monitoring key metrics and generating alerts, organizations can quickly identify and address these problems, minimizing downtime, optimizing performance, and ensuring the smooth operation of their infrastructure.

DevOps

Monitoring DevOps: Types, Practices, and Tools

Fedir Kompaniiets

July 8, 2024

Monitoring is one of the most important concepts in DevOps. It is a fundamental aspect that goes beyond just graphs showing the state of your product. Monitoring is a general term for collecting data about the behavior of a digital solution (platforms, infrastructure, applications). DevOps monitoring involves overseeing the entire development lifecycle, ensuring data protection, and quickly responding to and resolving errors. It encompasses various levels such as cloud services monitoring, infrastructure monitoring, abstraction level monitoring (e.g., containers), and application monitoring. Through monitoring, DevOps teams can ensure that their systems operate efficiently, stably, and securely, thereby delivering a high-quality end product. Monitoring in DevOps is like the dashboard of a plane; a cloud architect needs a clear view of every system's performance and potential issues. Just as a pilot relies on instruments to navigate safely, we rely on continuous monitoring to ensure smooth and efficient operations in the cloud. Roman Burdiuzha, Cloud Architect | Specializing in DevOps & Cloud Solutions Why Monitoring is Complex? Monitoring is the interpretation of information about your digital solution in the form you desire. The possibilities are limitless. This variability makes it a rather complex task. Determining what to monitor, what truly matters for the project, requires DevOps engineers to: Identify what to monitor, Determine what to display, Define how to execute these tasks. The most critical question is not how to monitor, but what to monitor. Types of Monitoring At each level, a system has its own set of metrics. For instance, at the cloud level such as AWS, there are metrics for account status, organizational structure—user counts, service instances, virtual machines, policies, and IP addresses—all meticulously recorded. Each service incurs charges, necessitating expense monitoring. Moving down a level to infrastructure—virtual machines, for example—they have processors, memory, disk usage, etc. This information is logged—how much memory is used, processor load, and network traffic. For instance, a network adapter might handle 1 gigabit per second, and its interface load is measured accordingly. Next is the abstraction level. Take Docker, where multiple instances of an operating system are launched to run a specific app. Docker provides virtual metrics for memory, CPU usage, and more. Then there's the application level. Consider an application running on Java. In Java, there's a Java Virtual Machine (JVM) that processes code. The JVM has its metrics—allocated memory, actual memory usage, worker threads, and so forth. There are also custom-based metrics; for example, an application might track errors occurring and log their frequency per second. In essence, monitoring involves tracking the state of a solution across these levels to ensure optimal performance, efficiency, and reliability. Cloud Level Monitoring ( AWS, Azure, Google Cloud, other) Observes and manages the performance, availability, and health of cloud resources and services provided by cloud platforms like AWS, Azure, and Google Cloud. Infrastructure Level Monitoring Server Monitoring Network Monitoring Database Monitoring Storage Monitoring Tracks the performance, availability, and health of physical and virtual infrastructure components, including servers, networks, databases, and storage systems. Abstraction Level Monitoring Monitors the performance and health of abstraction layers such as containers (e.g., Docker) and orchestration systems (e.g., Kubernetes), as well as virtual machines. Container Monitoring (e.g., Docker) Orchestration Monitoring (e.g., Kubernetes) Virtual Machine Monitoring Application Level Monitoring Focuses on tracking the performance, availability, and user interactions of applications, providing insights into response times, error rates, and transaction flows. Application Performance Monitoring (APM) Transaction Tracing User Experience Monitoring Three Pillars of Monitoring Logs - Logs record events with timestamps, creating a chronology of processes occurring within the system. Metrics - Metrics demonstrate resource usage levels or behaviors that can be collected in systems. Traces - Traces illustrate the journey of a user through the entire application stack. Best Practices for Log Collection Ensure maximum standardization of logs. Avoid collecting confidential information to prevent data leaks. Configure real-time alerts. Optimize your log retention policy. Monitoring Tools Grafana and Prometheus are among the most widely used, free, and open-source solutions. These tools together create a solid foundation for a robust and reliable monitoring stack, ensuring high-quality analysis. Grafana: This powerful visualization tool displays data from various sources in customizable dashboards, making it easier to understand and act on complex metrics. Prometheus: A leading open-source monitoring and alerting toolkit, known for its reliability and scalability in gathering and querying metrics. Grafana Loki: A log aggregation system that integrates smoothly with Grafana, allowing for comprehensive log management and analysis. Other notable tools in the monitoring ecosystem include: Datadog: A comprehensive monitoring and analytics platform that provides visibility into your entire tech stack, from infrastructure to applications. New Relic: An observability platform that offers detailed insights into application performance, helping to quickly identify and resolve issues. The key to effective monitoring is not just in the tools used but in determining what to monitor. Identifying the critical metrics that matter most to your project is essential. This approach ensures that you are not overwhelmed with data but are focused on the information that will help you maintain and improve your systems' performance and reliability. By leveraging these tools and practices, you can create a monitoring setup that provides actionable insights, helping you to quickly respond to issues, optimize performance, and ensure the overall health of your digital solutions.Take a look at these Monitoring projects in the portfolio of Gart Solutions. Centralized Monitoring for a B2C SaaS Music Platform:We introduced a real-time monitoring framework for both infrastructure and applications by leveraging AWS CloudWatch and Grafana for a globally distributed music platform. This approach enabled seamless, region-wide scalability, improved system transparency, and reduced operational interruptions. The result was a cost-efficient, intuitive monitoring system designed to support the platform’s continuous growth and expansion efforts. To the case. Monitoring Solutions for Scaling a Digital Landfill Platform: for the elandfill.io platform, we engineered a robust monitoring system that was successfully scaled across several nations, including Iceland, France, Sweden, and Turkey. This solution enhanced the accuracy of methane emission forecasting, improved landfill management practices, and simplified adherence to regulatory standards. The cloud-agnostic architecture offered the client flexibility in selecting their preferred cloud service provider, ensuring adaptability and freedom of choice. To the case.

DevOps

IT Infrastructure

Best Infrastructure as Code Tools for Streamlined Management

Fedir Kompaniiets

June 28, 2023

By treating infrastructure as software code, IaC empowers teams to leverage the benefits of version control, automation, and repeatability in their cloud deployments. This article explores the key concepts and benefits of IaC, shedding light on popular tools such as Terraform, Ansible, SaltStack, and Google Cloud Deployment Manager. We'll delve into their features, strengths, and use cases, providing insights into how they enable developers and operations teams to streamline their infrastructure management processes. IaC Tools Comparison Table IaC ToolDescriptionSupported Cloud ProvidersTerraformOpen-source tool for infrastructure provisioningAWS, Azure, GCP, and moreAnsibleConfiguration management and automation platformAWS, Azure, GCP, and moreSaltStackHigh-speed automation and orchestration frameworkAWS, Azure, GCP, and morePuppetDeclarative language-based configuration managementAWS, Azure, GCP, and moreChefInfrastructure automation frameworkAWS, Azure, GCP, and moreCloudFormationAWS-specific IaC tool for provisioning AWS resourcesAmazon Web Services (AWS)Google Cloud Deployment ManagerInfrastructure management tool for Google Cloud PlatformGoogle Cloud Platform (GCP)Azure Resource ManagerAzure-native tool for deploying and managing resourcesMicrosoft AzureOpenStack HeatOrchestration engine for managing resources in OpenStackOpenStackInfrastructure as a Code Tools Table Exploring the Landscape of IaC Tools The IaC paradigm is widely embraced in modern software development, offering a range of tools for deployment, configuration management, virtualization, and orchestration. Prominent containerization and orchestration tools like Docker and Kubernetes employ YAML to express the desired end state. HashiCorp Packer is another tool that leverages JSON templates and variables for creating system snapshots. The most popular configuration management tools, namely Ansible, Chef, and Puppet, adopt the IaC approach to define the desired state of the servers under their management. Ansible functions by bootstrapping servers and orchestrating them based on predefined playbooks. These playbooks, written in YAML, outline the operations Ansible will execute and the targeted resources it will operate on. These operations can include starting services, installing packages via the system's package manager, or executing custom bash commands. Both Chef and Puppet operate through central servers that issue instructions for orchestrating managed servers. Agent software needs to be installed on the managed servers. While Chef employs Ruby to describe resources, Puppet has its own declarative language. Terraform seamlessly integrates with other IaC tools and DevOps systems, excelling in provisioning infrastructure resources rather than software installation and initial server configuration. Unlike configuration management tools like Ansible and Chef, Terraform is not designed for installing software on target resources or scheduling tasks. Instead, Terraform utilizes providers to interact with supported resources. Terraform can operate on a single machine without the need for a master or managed servers, unlike some other tools. It does not actively monitor the actual state of resources and automatically reapply configurations. Its primary focus is on orchestration. Typically, the workflow involves provisioning resources with Terraform and using a configuration management tool for further customization if necessary. For Chef, Terraform provides a built-in provider that configures the client on the orchestrated remote resources. This allows for automatic addition of all orchestrated servers to the master server and further customization using Chef cookbooks (Chef's infrastructure declarations). Optimize your infrastructure management with our DevOps expertise. Harness the power of IaC tools for streamlined provisioning, configuration, and orchestration. Scale efficiently and achieve seamless deployments. Contact us now. Popular Infrastructure as Code Tools Terraform Terraform, introduced by HashiCorp in 2014, is an open-source Infrastructure as Code (IaC) solution. It operates based on a declarative approach to managing infrastructure, allowing you to define the desired end state of your infrastructure in a configuration file. Terraform then works to bring the infrastructure to that desired state. This configuration is applied using the PUSH method. Written in the Go programming language, Terraform incorporates its own language known as HashiCorp Configuration Language (HCL), which is used for writing configuration files that automate infrastructure management tasks. Download: https://github.com/hashicorp/terraform Terraform operates by analyzing the infrastructure code provided and constructing a graph that represents the resources and their relationships. This graph is then compared with the cached state of resources in the cloud. Based on this comparison, Terraform generates an execution plan that outlines the necessary changes to be applied to the cloud in order to achieve the desired state, including the order in which these changes should be made. Within Terraform, there are two primary components: providers and provisioners. Providers are responsible for interacting with cloud service providers, handling the creation, management, and deletion of resources. On the other hand, provisioners are used to execute specific actions on the remote resources created or on the local machine where the code is being processed. Terraform offers support for managing fundamental components of various cloud providers, such as compute instances, load balancers, storage, and DNS records. Additionally, Terraform's extensibility allows for the incorporation of new providers and provisioners. In the realm of Infrastructure as Code (IaC), Terraform's primary role is to ensure that the state of resources in the cloud aligns with the state expressed in the provided code. However, it's important to note that Terraform does not actively track deployed resources or monitor the ongoing bootstrapping of prepared compute instances. The subsequent section will delve into the distinctions between Terraform and other tools, as well as how they complement each other within the workflow. Real-World Examples of Terraform Usage Terraform has gained immense popularity across various industries due to its versatility and user-friendly nature. Here are a few real-world examples showcasing how Terraform is being utilized: CI/CD Pipelines and Infrastructure for E-Health Platform For our client, a development company specializing in Electronic Medical Records Software (EMRS) for government-based E-Health platforms and CRM systems in medical facilities, we leveraged Terraform to create the infrastructure using VMWare ESXi. This allowed us to harness the full capabilities of the local cloud provider, ensuring efficient and scalable deployments. Implementation of Nomad Cluster for Massively Parallel Computing Our client, S-Cube, is a software development company specializing in creating a product based on a waveform inversion algorithm for building Earth models. They sought to enhance their infrastructure by separating the software from the underlying infrastructure, allowing them to focus solely on application development without the burden of infrastructure management. To assist S-Cube in achieving their goals, Gart Solutions stepped in and leveraged the latest cloud development techniques and technologies, including Terraform. By utilizing Terraform, Gart Solutions helped restructure the architecture of S-Cube's SaaS platform, making it more economically efficient and scalable. The Gart Solutions team worked closely with S-Cube to develop a new approach that takes infrastructure management to the next level. By adopting Terraform, they were able to define their infrastructure as code, enabling easy provisioning and management of resources across cloud and on-premises environments. This approach offered S-Cube the flexibility to run their workloads in both containerized and non-containerized environments, adapting to their specific requirements. Streamlining Presale Processes with ChatOps Automation Our client, Beyond Risk, is a dynamic technology company specializing in enterprise risk management solutions. They faced several challenges related to environmental management, particularly in managing the existing environment architecture and infrastructure code conditions, which required significant effort. To address these challenges, Gart implemented ChatOps Automation to streamline the presale processes. The implementation involved utilizing the Slack API to create an interactive flow, AWS Lambda for implementing the business logic, and GitHub Action + Terraform Cloud for infrastructure automation. One significant improvement was the addition of a Notification step, which helped us track the success or failure of Terraform operations. This allowed us to stay informed about the status of infrastructure changes and take appropriate actions accordingly. Unlock the full potential of your infrastructure with our DevOps expertise. Maximize scalability and achieve flawless deployments. Drop us a line right now! AWS CloudFormation AWS CloudFormation is a powerful Infrastructure as Code (IaC) tool provided by Amazon Web Services (AWS). It simplifies the provisioning and management of AWS resources through the use of declarative CloudFormation templates. Here are the key features and benefits of AWS CloudFormation, its declarative infrastructure management approach, its integration with other AWS services, and some real-world case studies showcasing its adoption. Key Features and Advantages: Infrastructure as Code: CloudFormation enables you to define and manage your infrastructure resources using templates written in JSON or YAML. This approach ensures consistent, repeatable, and version-controlled deployments of your infrastructure. Automation and Orchestration: CloudFormation automates the provisioning and configuration of resources, ensuring that they are created, updated, or deleted in a controlled and predictable manner. It handles resource dependencies, allowing for the orchestration of complex infrastructure setups. Infrastructure Consistency: With CloudFormation, you can define the desired state of your infrastructure and deploy it consistently across different environments. This reduces configuration drift and ensures uniformity in your infrastructure deployments. Change Management: CloudFormation utilizes stacks to manage infrastructure changes. Stacks enable you to track and control updates to your infrastructure, ensuring that changes are applied consistently and minimizing the risk of errors. Scalability and Flexibility: CloudFormation supports a wide range of AWS resource types and features. This allows you to provision and manage compute instances, databases, storage volumes, networking components, and more. It also offers flexibility through custom resources and supports parameterization for dynamic configurations. Case studies showcasing CloudFormation adoption Netflix leverages CloudFormation for managing their infrastructure deployments at scale. They use CloudFormation templates to provision resources, define configurations, and enable repeatable deployments across different regions and accounts. Yelp utilizes CloudFormation to manage their AWS infrastructure. They use CloudFormation templates to provision and configure resources, enabling them to automate and simplify their infrastructure deployments. Dow Jones, a global news and business information provider, utilizes CloudFormation for managing their AWS resources. They leverage CloudFormation to define and provision their infrastructure, enabling faster and more consistent deployments. Ansible Perhaps Ansible is the most well-known configuration management system used by DevOps engineers. This system is written in the Python programming language and uses a declarative markup language to describe configurations. It utilizes the PUSH method for automating software configuration and deployment. What are the main differences between Ansible and Terraform? Ansible is a versatile automation tool that can be used to solve various tasks, while Terraform is a tool specifically designed for "infrastructure as code" tasks, which means transforming configuration files into functioning infrastructure. Use cases highlighting Ansible's versatility Configuration Management: Ansible is commonly used for configuration management, allowing you to define and enforce the desired configurations across multiple servers or network devices. It ensures consistency and simplifies the management of configuration drift. Application Deployment: Ansible can automate the deployment of applications by orchestrating the installation, configuration, and updates of application components and their dependencies. This enables faster and more reliable application deployments. Cloud Provisioning: Ansible integrates seamlessly with various cloud providers, enabling the provisioning and management of cloud resources. It allows you to define infrastructure in a cloud-agnostic way, making it easy to deploy and manage infrastructure across different cloud platforms. Continuous Delivery: Ansible can be integrated into a continuous delivery pipeline to automate the deployment and testing of applications. It allows for efficient and repeatable deployments, reducing manual errors and accelerating the delivery of software updates. Google Cloud Deployment Manager Google Cloud Deployment Manager is a robust Infrastructure as Code (IaC) solution offered by Google Cloud Platform (GCP). It empowers users to define and manage their infrastructure resources using Deployment Manager templates, which facilitate automated and consistent provisioning and configuration. By utilizing YAML or Jinja2-based templates, Deployment Manager enables the definition and configuration of infrastructure resources. These templates specify the desired state of resources, encompassing various GCP services, networks, virtual machines, storage, and more. Users can leverage templates to define properties, establish dependencies, and establish relationships between resources, facilitating the creation of intricate infrastructures. Deployment Manager seamlessly integrates with a diverse range of GCP services and ecosystems, providing comprehensive resource management capabilities. It supports GCP's native services, including Compute Engine, Cloud Storage, Cloud SQL, Cloud Pub/Sub, among others, enabling users to effectively manage their entire infrastructure. Puppet Puppet is a widely adopted configuration management tool that helps automate the management and deployment of infrastructure resources. It provides a declarative language and a flexible framework for defining and enforcing desired system configurations across multiple servers and environments. Puppet enables efficient and centralized management of infrastructure configurations, making it easier to maintain consistency and enforce desired states across a large number of servers. It automates repetitive tasks, such as software installations, package updates, file management, and service configurations, saving time and reducing manual errors. Puppet operates using a client-server model, where Puppet agents (client nodes) communicate with a central Puppet server to retrieve configurations and apply them locally. The Puppet server acts as a repository for configurations and distributes them to the agents based on predefined rules. Pulumi Pulumi is a modern Infrastructure as Code (IaC) tool that enables users to define, deploy, and manage infrastructure resources using familiar programming languages. It combines the concepts of IaC with the power and flexibility of general-purpose programming languages to provide a seamless and intuitive infrastructure management experience. Pulumi has a growing ecosystem of libraries and plugins, offering additional functionality and integrations with external tools and services. Users can leverage existing libraries and modules from their programming language ecosystems, enhancing the capabilities of their infrastructure code. There are often situations where it is necessary to deploy an application simultaneously across multiple clouds, combine cloud infrastructure with a managed Kubernetes cluster, or anticipate future service migration. One possible solution for creating a universal configuration is to use the Pulumi project, which allows for deploying applications to various clouds (GCP, Amazon, Azure, AliCloud), Kubernetes, providers (such as Linode, Digital Ocean), virtual infrastructure management systems (OpenStack), and local Docker environments. Pulumi integrates with popular CI/CD systems and Git repositories, allowing for the creation of infrastructure as code pipelines. Users can automate the deployment and management of infrastructure resources as part of their overall software delivery process. SaltStack SaltStack is a powerful Infrastructure as Code (IaC) tool that automates the management and configuration of infrastructure resources at scale. It provides a comprehensive solution for orchestrating and managing infrastructure through a combination of remote execution, configuration management, and event-driven automation. SaltStack enables remote execution across a large number of servers, allowing administrators to execute commands, run scripts, and perform tasks on multiple machines simultaneously. It provides a robust configuration management framework, allowing users to define desired states for infrastructure resources and ensure their continuous enforcement. SaltStack is designed to handle massive infrastructures efficiently, making it suitable for organizations with complex and distributed environments. The SaltStack solution stands out compared to others mentioned in this article. When creating SaltStack, the primary goal was to achieve high speed. To ensure high performance, the architecture of the solution is based on the interaction between the Salt-master server components and Salt-minion clients, which operate in push mode using Salt-SSH. The project is developed in Python and is hosted in the repository at https://github.com/saltstack/salt. The high speed is achieved through asynchronous task execution. The idea is that the Salt Master communicates with Salt Minions using a publish/subscribe model, where the master publishes a task and the minions receive and asynchronously execute it. They interact through a shared bus, where the master sends a single message specifying the criteria that minions must meet, and they start executing the task. The master simply waits for information from all sources, knowing how many minions to expect a response from. To some extent, this operates on a "fire and forget" principle. In the event of the master going offline, the minion will still complete the assigned work, and upon the master's return, it will receive the results. The interaction architecture can be quite complex, as illustrated in the vRealize Automation SaltStack Config diagram below. When comparing SaltStack and Ansible, due to architectural differences, Ansible spends more time processing messages. However, unlike SaltStack's minions, which essentially act as agents, Ansible does not require agents to function. SaltStack is significantly easier to deploy compared to Ansible, which requires a series of configurations to be performed. SaltStack does not require extensive script writing for its operation, whereas Ansible is quite reliant on scripting for interacting with infrastructure. Additionally, SaltStack can have multiple masters, so if one fails, control is not lost. Ansible, on the other hand, can have a secondary node in case of failure. Finally, SaltStack is supported by GitHub, while Ansible is supported by Red Hat. SaltStack integrates seamlessly with cloud platforms, virtualization technologies, and infrastructure services. It provides built-in modules and functions for interacting with popular cloud providers, making it easier to manage and provision resources in cloud environments. SaltStack offers a highly extensible framework that allows users to create custom modules, states, and plugins to extend its functionality. It has a vibrant community contributing to a rich ecosystem of Salt modules and extensions. Chef Chef is a widely recognized and powerful Infrastructure as Code (IaC) tool that automates the management and configuration of infrastructure resources. It provides a comprehensive framework for defining, deploying, and managing infrastructure across various platforms and environments. Chef allows users to define infrastructure configurations as code, making it easier to manage and maintain consistent configurations across multiple servers and environments. It uses a declarative language called Chef DSL (Domain-Specific Language) to define the desired state of resources and systems. Chef Solo Chef also offers a standalone mode called Chef Solo, which does not require a central Chef server. Chef Solo allows for the local execution of cookbooks and recipes on individual systems without the need for a server-client setup. Benefits of Infrastructure as Code Tools Infrastructure as Code (IaC) tools offer numerous benefits that contribute to efficient, scalable, and reliable infrastructure management. IaC tools automate the provisioning, configuration, and management of infrastructure resources. This automation eliminates manual processes, reducing the potential for human error and increasing efficiency. With IaC, infrastructure configurations are defined and deployed consistently across all environments. This ensures that infrastructure resources adhere to desired states and defined standards, leading to more reliable and predictable deployments. IaC tools enable easy scalability by providing the ability to define infrastructure resources as code. Scaling up or down becomes a matter of modifying the code or configuration, allowing for rapid and flexible infrastructure adjustments to meet changing demands. Infrastructure code can be stored and version-controlled using tools like Git. This enables collaboration among team members, tracking of changes, and easy rollbacks to previous configurations if needed. Infrastructure code can be structured into reusable components, modules, or templates. These components can be shared across projects and environments, promoting code reusability, reducing duplication, and speeding up infrastructure deployment. Infrastructure as Code tools automate the provisioning and deployment processes, significantly reducing the time required to set up and configure infrastructure resources. This leads to faster application deployment and delivery cycles. Infrastructure as Code tools provide an audit trail of infrastructure changes, making it easier to track and document modifications. They also assist in achieving compliance by enforcing predefined policies and standards in infrastructure configurations. Infrastructure code can be used to recreate and recover infrastructure quickly in the event of a disaster. By treating infrastructure as code, organizations can easily reproduce entire environments, reducing downtime and improving disaster recovery capabilities. IaC tools abstract infrastructure configurations from specific cloud providers, allowing for portability across multiple cloud platforms. This flexibility enables organizations to leverage different cloud services based on specific requirements or to migrate between cloud providers easily. Infrastructure as Code tools provide visibility into infrastructure resources and their associated costs. This visibility enables organizations to optimize resource allocation, identify unused or underutilized resources, and make informed decisions for cost optimization. Considerations for Choosing an IaC Tool When selecting an Infrastructure as Code (IaC) tool, it's essential to consider various factors to ensure it aligns with your specific requirements and goals. Compatibility with Infrastructure and Environments Determine if the IaC tool supports the infrastructure platforms and technologies you use, such as public clouds (AWS, Azure, GCP), private clouds, containers, or on-premises environments. Check if the tool integrates well with existing infrastructure components and services you rely on, such as databases, load balancers, or networking configurations. Supported Programming Languages Consider the programming languages supported by the IaC tool. Choose a tool that offers support for languages that your team is familiar with and comfortable using. Ensure that the tool's supported languages align with your organization's coding standards and preferences. Learning Curve and Ease of Use Evaluate the learning curve associated with the IaC tool. Consider the complexity of its syntax, the availability of documentation, tutorials, and community support. Determine if the tool provides an intuitive and user-friendly interface or a command-line interface (CLI) that suits your team's preferences and skill sets. Declarative or Imperative Approach Decide whether you prefer a declarative or imperative approach to infrastructure management. Declarative tools focus on defining the desired state of infrastructure resources, while imperative Infrastructure as Code tools allow more procedural control over infrastructure changes. Consider which approach aligns better with your team's mindset and infrastructure management style. Extensibility and Customization Evaluate the extensibility and customization options provided by the IaC tool. Check if it allows the creation of custom modules, plugins, or extensions to meet specific requirements. Consider the availability of a vibrant community and ecosystem around the tool, providing additional resources, libraries, and community-contributed content. Collaboration and Version Control Assess the tool's collaboration features and support for version control systems like Git. Determine if it allows multiple team members to work simultaneously on infrastructure code, provides conflict resolution mechanisms, and supports code review processes. Security and Compliance Examine the tool's security features and its ability to meet security and compliance requirements. Consider features like access controls, encryption, secrets management, and compliance auditing capabilities to ensure the tool aligns with your organization's security standards. Community and Support Evaluate the size and activity of the tool's community, as it can greatly impact the availability of resources, forums, and support. Consider factors like the frequency of updates, bug fixes, and the responsiveness of the tool's maintainers to address issues or feature requests. Cost and Licensing Assess the licensing model of the IaC tool. Some Infrastructure as Code Tools may have open-source versions with community support, while others offer enterprise editions with additional features and support. Consider the total cost of ownership, including licensing fees, training costs, infrastructure requirements, and ongoing maintenance. Roadmap and Future Development Research the tool's roadmap and future development plans to ensure its continued relevance and compatibility with evolving technologies and industry trends. By considering these factors, you can select Infrastructure as Code Tools that best fits your organization's needs, infrastructure requirements, team capabilities, and long-term goals.

IT Infrastructurе Monitoring: How it Works, Bеst Practicеs & Usе Casеs

IT Infrastructure

Infrastructure Monitoring: How it Works, Best Practices & Use Cases

Roman Burdiuzha

June 26, 2023

In today's digital world, businesses rely heavily on their IT infrastructure to operate effectively. Any downtime or performance issues can result in lost productivity, revenue, and brand reputation. This is where infrastructure monitoring comes in. What Is Infrastructure Monitoring? Infrastructure monitoring plays a vital role in collecting and analyzing data from various components of a tech stack, including servers, virtual machines, containers, and databases. This data is then analyzed to provide insights into the health and performance of the infrastructure. The tools also provide alerts and notifications when issues are detected, enabling IT teams to take corrective action. By utilizing infrastructure monitoring practices, organizations can proactively identify and address issues that may impact users and mitigate risks of potential losses in terms of time and money. Modern software applications must be reliable and resilient to meet clients' needs worldwide. Companies like Amazon are making an average of $14,900 every second in sales, therefore, even 30 seconds of downtime would have cost them thousands of dollars. For software to keep up with demand, infrastructure monitoring is crucial. It allows teams to collect operational and performance data from their systems to diagnose, fix, and improve them. Monitoring often includes physical servers, virtual machines, databases, network infrastructure, IoT devices and more. Full-featured monitoring systems can also alert you when something is wrong in your infrastructure. In this article, we'll explain how infrastructure monitoring works, its primary use cases, typical challenges, use cases and best practices of infrastructure monitoring. Infrastructure Monitoring: What Should You Monitor? Infrastructure monitoring is essential for tracking the availability, performance, and resource utilization of backend components, including hosts and containers. By installing monitoring agents on hosts, engineers collect infrastructure metrics and send them to a monitoring platform for analysis. This allows organizations to ensure the availability and proper functioning of critical services for users. Identifying which parts of your infrastructure to monitor depends on factors such as SLA requirements, system location, and complexity. Google has its Four Golden Signals (latency, traffic, errors, and saturation), which can help your team narrow down important metrics (review the official Google Cloud Monitoring Documentation). AWS, Azure also provides its best practices for monitoring. Common System Monitoring Metrics Include Sеrvеrs: Monitor sеrvеr CPU usagе, mеmory usagе, disk I/O, and nеtwork traffic. Nеtwork: Monitor nеtwork latеncy, packеt loss, bandwidth usagе, and throughput. Applications: Monitor application rеsponsе timе, еrror ratеs, and transaction volumеs. Databasеs: Monitor databasе pеrformancе, including quеry rеsponsе timе and transaction throughput. Sеcurity: Monitor sеcurity еvеnts, including failеd logins, unauthorizеd accеss attеmpts, and malwarе infеctions. This list of metrics for each system isn't exhaustive. Rather, you should determine your business requirements and expectations for different parts of the infrastructure. These baselines will help you better understand what metrics should be monitored and establish guidelines for setting alerting thresholds. Use Cases of Infrastructure Monitoring Operations teams, DevOps engineers and SREs (site reliability engineers) generally use infrastructure monitoring to: 1. Troublеshoot pеrformancе issues Infrastructure monitoring is instrumental in preventing incidents from escalating into outages. By using an infrastructure monitoring tool, engineers can quickly identify failed or latency-affected hosts, containers, or other backend components during an incident. In the event of an outage, they can pinpoint the responsible hosts or containers, facilitating the resolution of support tickets and addressing customer-facing issues effectively. 2. Optimize infrastructure use Proactive cost reduction is another significant benefit of infrastructure monitoring. By analyzing the monitoring data, organizations can identify overprovisioned or underutilized servers and take necessary actions such as decommissioning them or consolidating workloads onto fewer hosts. Furthermore, infrastructure monitoring enables the redistribution of requests from underprovisioned hosts to overprovisioned ones, ensuring balanced utilization across the infrastructure. Learn from this case study how Gart helped with AWS Cost Optimization and CI/CD Automation for the Entertainment Software Platform. 3. Forecast backend requirements Historical infrastructure metrics provide valuable insights for predicting future resource consumption. For example, if certain hosts were found to be underprovisioned during a recent product launch, organizations can leverage this information to allocate additional CPU and memory resources during similar events. By doing so, they reduce strain on critical systems, minimizing the risk of revenue-draining outages. 4. Configuration assurancе tеsting One of the prominent use cases of infrastructure monitoring is enhancing the testing process. Small and mid-size businesses utilize infrastructure monitoring to ensure the stability of their applications during or after feature updates. By monitoring the infrastructure, they can proactively detect any issues that may arise and take corrective measures, ensuring that their applications remain robust and reliable. Ready to level up your Infrastructure Management? Contact us today and let our experienced team empower your organization with streamlined processes, automation, and continuous integration. Infrastructure Monitoring Best Practices Infrastructure monitoring best practices involve a combination of key strategies and techniques to ensure efficient and effective monitoring of your infrastructure. Here are some recommended practices to consider: 1. Opt for automation To enhance Mean Time to Resolution (MTTR), leverage from the best infrastructure monitoring tools that offer automation capabilities. By adopting AIOps for infrastructure monitoring, you can achieve comprehensive end-to-end observability across your entire stack, facilitating quicker issue detection and resolution. 3. Install the agent across your entire environment Rather than installing the monitoring agent on specific applications and their supporting environments, it is advisable to deploy it across your entire production environment. This approach provides a more holistic view of your infrastructure's health and performance, enabling you to make informed decisions based on comprehensive data. Google Ops Agent Overview | AWS Systems Manager OpsCenter 3. Set up and prioritize alerts Given the potential for numerous alerts in an infrastructure monitoring system, it's crucial to prioritize them effectively. As an SRE, focus on identifying and addressing the most critical alerts promptly, ensuring that essential issues are promptly resolved while minimizing distractions caused by less urgent notifications. Google Cloud Monitoring Alerting Policy | AWS Alerting Policy 4. Create custom dashboards Take advantage of the customization options available in infrastructure monitoring tools. Tools like Middleware offer the ability to create custom dashboards tailored to specific roles and requirements. By leveraging these capabilities, you can streamline your monitoring experience, presenting relevant information to different stakeholders in a clear and accessible manner. 5. Test your tools Before integrating new applications or tools for infrastructure monitoring, testing is vital. This practice ensures that the monitoring setup functions correctly and all components are working as expected. By performing test runs, you can identify and address any potential issues before they impact your live environment. 6. Configure native integrations If your infrastructure includes AWS resources, it is beneficial to configure native integrations with your infrastructure monitoring solution. For example, setting up the AWS EC2 integration allows for the automatic import of tags and metadata associated with your instances. This integration facilitates data filtering, provides real-time views, and enables scalability in line with your cloud infrastructure. 7. Activate integrations for comprehensive monitoring Extend your infrastructure monitoring beyond CPU, memory, and storage utilization. Activate pre-configured integrations with services such as AWS CloudWatch, AWS Billing, AWS ELB, MySQL, NGINX, and more. These integrations enable monitoring of the services supporting your hosts and provide access to dedicated dashboards for each integrated service. 8. Create filter set for efficient resource management Utilize the filter set functionality offered by your monitoring solution to organize hosts, cluster roles, and other resources based on relevant criteria. By applying filters based on imported EC2 tags or custom tags, you can optimize resource monitoring, proactively detect and resolve issues, and gain a comprehensive overview of your infrastructure's performance. 9. Set up alert conditions based on filtered data Instead of creating individual alert conditions for each host, leverage the filtering capabilities to create alert conditions based on filtered data. This approach automates the addition and removal of hosts from the alert conditions as they match the specified tags. By aligning alerts with your infrastructure's tags, you ensure scalability and efficient alert management. Our Monitoring Case Study Wrapping Up In conclusion, infrastructure monitoring is critical for ensuring the performance and availability of IT infrastructure. By following best practices and partnering with a trusted provider like Gart, organizations can detect issues proactively, optimize performance and be sure the IT infrastructure is 99,9% available, robust, and meets your current and future business needs. Leverage external expertise and unlock the full potential of your IT infrastructure through IT infrastructure outsourcing! Let’s work together! See how we can help to overcome your challenges Contact us

IT Infrastructure Monitoring Tools Comparison Table

Best IT Infrastructure Monitoring Software

Resource Management Framework (RMF)

Sematext Monitoring

The Elastic Stack

Prometheus

Zabbix

SolarWinds Server & Application Monitor (SAM)

N-able RMM

Datadog Infrastructure Monitoring

ManageEngine OpManager

PRTG Network Monitor

Nagios

WhatsUp Gold

New Relic

Dynatrace

AppDynamics

Site24x7 Infrastructure Monitoring

In Closing

FAQ

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How to choose best it monitoring tools, software and systems for your infrastructure?

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