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IT Infrastructure Outsourcing: Maximizing Efficiency and Expertise for Business Success

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IT Infrastructure Outsourcing: Maximizing Efficiency and Expertise for Business Success

Roman Burdiuzha

Cloud Architecture Expert Co-founder & CTO of Gart

June 10, 2023

Table of contents

Definition of Infrastructure Outsourcing
Benefits of IT Infrastructure Outsourcing
Piyush Tripathi About the Benefits of Outsourcing Infrastructure
The Process for Outsourcing IT Infrastructure
Evaluating the Outsourcing Vendor: Ensuring Reliability and Compatibility
Why Ukraine is an Attractive Outsourcing Destination for IT Infrastructure
Long Story Short

In the relentless pursuit of success, businesses often find themselves caught in the whirlwind of IT infrastructure management. The demands of keeping up with ever-evolving technologies, maintaining robust security, and optimizing operations can feel like an uphill battle. But what if I told you there’s a liberating solution that could lift this weight off your shoulders and propel your organization to new heights?

Definition of Infrastructure Outsourcing

IT infrastructure outsourcing refers to the practice of delegating the management and operation of an organization’s information technology (IT) infrastructure to external service providers. Instead of maintaining and managing the infrastructure in-house, companies opt to outsource these responsibilities to specialized third-party vendors.

IT infrastructure includes various components such as servers, networks, storage systems, data centers, and other hardware and software resources essential for supporting and running an organization’s IT operations. By outsourcing their IT infrastructure, companies can leverage the expertise and resources of external providers to handle tasks like hardware procurement, installation, configuration, maintenance, security, and ongoing management.

Benefits of IT Infrastructure Outsourcing

Outsourcing IT infrastructure brings numerous benefits that contribute to business growth and success.

benefits of outsourcing it infrastructure.

Manage cloud complexity

Over the past two years, there’s been a surge in cloud commitment, with more than 86% of companies reporting an increase in cloud initiatives.

Implementing cloud initiatives requires specialized skill sets and a fresh approach to achieve comprehensive transformation. Often, IT departments face skill gaps on the technical front, lacking experience with the specific tools employed by their chosen cloud provider.

Moreover, many organizations lack the expertise needed to develop a cloud strategy that fully harnesses the potential of leading platforms such as AWS or Microsoft Azure, utilizing their native tools and services.

Experienced providers of infrastructure management possess the necessary expertise to aid enterprises in selecting and configuring cloud infrastructure that can effectively meet and swiftly adapt to evolving business requirements.

Access to Specialized Expertise

Outsourcing IT infrastructure allows businesses to tap into the expertise of professionals who specialize in managing complex IT environments. As a CTO, I understand the importance of having a skilled team that can handle diverse technology domains, from network management and system administration to cybersecurity and cloud computing. By outsourcing, organizations can leverage the specialized knowledge and experience of professionals who stay up-to-date with the latest industry trends and best practices. This expertise brings immense value in optimizing infrastructure performance, ensuring scalability, and implementing robust security measures.

“Gart finished migration according to schedule, made automation for infrastructure provisioning, and set up governance for new infrastructure. They continue to support us with Azure. They are professional and have a very good technical experience”
Under NDA, Software Development Company

Enhanced Focus on Core Competencies

Outsourcing IT infrastructure liberates businesses from the burden of managing complex technical operations, allowing them to focus on their core competencies. I firmly believe that organizations thrive when they can allocate their resources towards activities that directly contribute to their strategic goals. By entrusting the management and maintenance of IT infrastructure to a trusted partner like Gart, businesses can redirect their internal talent and expertise towards innovation, product development, and customer-centric initiatives.

For example, SoundCampaign, a company focused on their core business in the music industry, entrusted Gart with their infrastructure needs.

We upgraded the product infrastructure, ensuring that it was scalable, reliable, and aligned with industry best practices. Gart also assisted in migrating the compute operations to the cloud, leveraging its expertise to optimize performance and cost-efficiency.

One key initiative undertaken by Gart was the implementation of an automated CI/CD (Continuous Integration/Continuous Deployment) pipeline using GitHub. This automation streamlined the software development and deployment processes for SoundCampaign, reducing manual effort and improving efficiency. It allowed the SoundCampaign team to focus on their core competencies of building and enhancing their social networking platform, while Gart handled the intricacies of the infrastructure and DevOps tasks.

“They completed the project on time and within the planned budget. Switching to the new infrastructure was even more accessible and seamless than we expected.”
Nadav Peleg, Founder & CEO at SoundCampaign

Cost Savings and Budget Predictability

Managing an in-house IT infrastructure can be a costly endeavor. By outsourcing, businesses can reduce expenses associated with hardware and software procurement, maintenance, upgrades, and the hiring and training of IT staff.

As an outsourcing provider, Gart has already made the necessary investments in infrastructure, tools, and skilled personnel, enabling us to provide cost-effective solutions to our clients. Moreover, outsourcing IT infrastructure allows businesses to benefit from predictable budgeting, as costs are typically agreed upon in advance through service level agreements (SLAs).

“We were amazed by their prompt turnaround and persistency in fixing things! The Gart’s team were able to support all our requirements, and were able to help us recover from a serious outage.”
Ivan Goh, CEO & Co-Founder at BeyondRisk

Scalability and Flexibility

Business needs can change rapidly, requiring organizations to scale their IT infrastructure up or down accordingly. With outsourcing, companies have the flexibility to quickly adapt to these changing requirements. For example, Gart’s clients have access to scalable resources that can accommodate their evolving needs.

Whether it’s expanding server capacity, optimizing network bandwidth, or adding storage, outsourcing providers can swiftly adjust the infrastructure to support business growth or handle seasonal variations. This scalability and flexibility provide businesses with the agility necessary to respond to market dynamics and seize growth opportunities.

Robust Security Measures

Data security is a paramount concern for businesses in today’s digital landscape. With outsourcing, organizations can benefit from the security expertise and technologies provided by the outsourcing partner. As the CTO of Gart, I prioritize the implementation of robust security measures, including advanced threat detection systems, data encryption, access controls, and proactive monitoring. We ensure that our clients’ sensitive information remains protected from cyber threats and unauthorized access.

“The result was exactly as I expected: analysis, documentation, preferred technology stack etc. I believe these guys should grow up via expanding resources. All things I’ve seen were very good.”
Grigoriy Legenchenko, CTO at Health-Tech Company

Piyush Tripathi About the Benefits of Outsourcing Infrastructure

Looking for answers to the question of IT infrastructure outsourcing pros and cons, we decided to seek the expert opinions on the matter. We reached out to Piyush Tripathi, who has extensive experience in infrastructure outsourcing.

Introducing the Expert

Piyush Tripathi is a highly experienced IT professional with over 10 years of industry experience. For the past ten years, he has been knee-deep in designing and maintaining database systems for significant projects. In 2020, he joined the core messaging team at Twilio and found himself at the heart of the fight against COVID-19. He played a crucial role in preparing the Twilio platform for the global vaccination program, utilizing innovative solutions to ensure scalability, compliance, and easy integration with cloud providers.

What are the potential benefits of outsourcing infrastructure?

High scale: I was leading Twilio covid 19 platform to support contact tracing. This was a fairly quick announcement as state of New York was planning to use it to help contact trace millions of people in the state and store their contact details. We needed to scale and scale fast. Doing it internally would have been very challanaging as demand could have spiked and our response could not have been swift enough to respond. Outsourcing it to cloud provider helped mitigate that, we opted for automatic scaling which added resources in infra as soon as demand increased. This gave us peace of mind that even when we were sleeping, people would continue to get contacted and vaccinated.

What expertise and capabilities would you can lose or gain by outsourcing our infrastructure?

Loose:

Infra domain knowledge: if you outsource infra, your team could loose knowledge of setting up this kind of technology. for example, during covid 19, I moved the contact database from local to cloud so overtime I anticipate that next teams would loose context of setting up and troubleshooting database internals since they will only use it as a consumer.

Control: since you outsource infra, data, business logic and access control will reside in the provider. in rare cases, for example using this data for ML training or advertising analysis, you may not know how your data or information is being used.

Gain:

Lower maintenance: since you don’t have to keep an whole team, you can reduce maintenance overhead. For example during my project in 2020, I was trying to increase adoption of Sendgrid SDK program, we were able to send 50 Billion emails without much maintenance hassle. The reason was that I was working on moving a lot of data pipelines, MTA components to cloud and it reduce a lot of maintenance.

High scale: this is the primary benefits, traditional infrastructure needs people to plan and provision infrastructure in advance. when I lead the project to move our database to cloud, it was able to support storing huge amount of data. In addition, it would with automatically scale up and down depending on the demand. This was huge benefit for us because we didn’t have to worry that our provisioned infra may not be enough for sudden spikes in the demand. Due to this, we were able to help over 100+ million people worldwide vaccinate

What are the potential implications for internal IT team if they choose to outsource infrastructure?

Reduced Headcount: Outsourcing infrastructure could potentially decrease the need for staff dedicated to its maintenance and control, thus leading to a reduction in headcount within the internal IT team.

Increased Collaboration: If issues arise, the internal IT team will need to collaborate with the external vendor and abide by their policies. This process can create a new dynamic of interaction that the team must adapt to.

Limited Control: The IT team may face additional challenges in debugging issues or responding to audits due to the increased bureaucracy introduced by the vendor. This lack of direct control may impact the team’s efficiency and response times.

The Process for Outsourcing IT Infrastructure

Gart aims to deliver a tailored and efficient outsourcing solution for the client’s IT infrastructure needs. The process encompasses thorough analysis, strategic planning, implementation, and ongoing support, all aimed at optimizing the client’s IT operations and driving their business success.

Free Consultation
Project Technical Audit
Realizing Project Targets
Implementation
Documentation Updates & Reports
Maintenance & Tech Support

it infrastructure outsourcing process in Gart.

The process begins with a free consultation where Gart engages with the client to understand their specific IT infrastructure requirements, challenges, and goals. This initial discussion helps establish a foundation for collaboration and allows Gart to gather essential information for the project.

Than Gart conducts a comprehensive project technical audit. This involves a detailed analysis of the client’s existing IT infrastructure, systems, and processes. The audit helps identify strengths, weaknesses, and areas for improvement, providing valuable insights to tailor the outsourcing solution.

Based on the consultation and technical audit, we here at Gart work closely with the client to define clear project targets. This includes establishing specific objectives, timelines, and deliverables that align with the client’s business objectives and IT requirements.

Implementation phase involves deploying the necessary resources, tools, and technologies to execute the outsourcing solution effectively. Our experienced professionals manage the transition process, ensuring a seamless integration of the outsourced IT infrastructure into the client’s operations.

Throughout the outsourcing process, Gart maintains comprehensive documentation to track progress, changes, and updates. Regular reports are generated and shared with the client, providing insights into project milestones, performance metrics, and any relevant recommendations. This transparent approach allows for effective communication and ensures that the project stays on track.

Gart provides ongoing maintenance and technical support to ensure the smooth operation of the outsourced IT infrastructure. This includes proactive monitoring, troubleshooting, and regular maintenance activities. In case of any issues or concerns, Gart’s dedicated support team is available to provide timely assistance and resolve technical challenges.

Evaluating the Outsourcing Vendor: Ensuring Reliability and Compatibility

When evaluating an outsourcing vendor, it is important to conduct thorough research to ensure their reliability and suitability for your IT infrastructure outsourcing needs. Here are some steps to follow during the vendor checkup process:

Google Search

Begin by conducting a Google search of the outsourcing vendor’s name. Explore their website, social media profiles, and any relevant online presence. A well-established outsourcing vendor should have a professional website that showcases their services, expertise, and client testimonials.

Industry Platforms and Directories

Check reputable industry platforms and directories such as Clutch and GoodFirms. These platforms provide verified reviews and ratings from clients who have worked with the outsourcing vendor. Assess their overall rating, read client reviews, and evaluate their performance based on past projects.

Champion Award: Reserved for companies consistently demonstrating excellence and earning positive reviews on the Clutch platform.

Freelance Platforms

If the vendor operates on freelance platforms like Upwork, review their profile and client feedback. Assess their ratings, completion rates, and feedback from previous clients. This can provide insights into their professionalism, technical expertise, and adherence to deadlines.

Online Presence

Explore the vendor’s presence on social media platforms such as Facebook, LinkedIn, and Twitter. Assess their activity, engagement, and the quality of content they share. A strong online presence indicates their commitment to transparency and communication.

Industry Certifications and Partnerships

Check if the vendor holds any relevant industry certifications, partnerships, or affiliations.

By following these steps, you can gather comprehensive information about the outsourcing vendor’s reputation, credibility, and capabilities. It is important to perform due diligence to ensure that the vendor aligns with your business objectives, possesses the necessary expertise, and can be relied upon to successfully manage your IT infrastructure outsourcing requirements.

Why Ukraine is an Attractive Outsourcing Destination for IT Infrastructure

Ukraine has emerged as a prominent player in the global IT industry. With a thriving technology sector, it has become a preferred destination for outsourcing IT infrastructure needs.

Ukraine is renowned for its vast pool of highly skilled IT professionals. The country produces a significant number of IT graduates each year, equipped with strong technical expertise and a solid educational background. Ukrainian developers and engineers are well-versed in various technologies, making them capable of handling complex IT infrastructure projects with ease.

One of the major advantages of outsourcing IT infrastructure to Ukraine is the cost-effectiveness it offers. Compared to Western European and North American countries, the cost of IT services in Ukraine is significantly lower while maintaining high quality. This cost advantage enables businesses to optimize their IT budgets and allocate resources to other critical areas.

English proficiency is widespread among Ukrainian IT professionals, making communication and collaboration seamless for international clients. This proficiency eliminates language barriers and ensures effective knowledge transfer and project management. Additionally, Ukraine shares cultural compatibility with Western countries, enabling smoother integration and understanding of business practices.

Long Story Short

IT infrastructure outsourcing empowers organizations to streamline their IT operations, reduce costs, enhance performance, and leverage external expertise, allowing them to focus on their core competencies and achieve their strategic goals.

Ready to unlock the full potential of your IT infrastructure through outsourcing? Reach out to us and let’s embark on a transformative journey together!

FAQ

What is Infrastructure Outsourcing?

IT infrastructure outsourcing refers to the practice of delegating the management, operation, and maintenance of an organization's information technology (IT) infrastructure to an external service provider. It involves entrusting various components of the IT infrastructure, such as servers, networks, storage systems, databases, and software applications, to a specialized third-party vendor.

What are IT infrastructure outsourcing companies?

IT infrastructure outsourcing companies are external service providers that specialize in managing and operating the information technology infrastructure of organizations.

Why Outsourcing Your IT Infrastructure Is a Good Idea?

Outsourcing your IT infrastructure is a good idea because it allows you to reduce costs, access specialized expertise, enhance scalability, and focus on core business functions, resulting in increased efficiency and competitiveness.

What services are typically included in IT infrastructure outsourcing?

IT infrastructure outsourcing services may include server management, network administration, data center operations, cloud computing, backup and disaster recovery, cybersecurity, and IT support.

What are the disadvantages of outsourcing infrastructure?

The disadvantages of outsourcing infrastructure include potential loss of control, security concerns, communication challenges, dependency on external providers, limited flexibility, potential cost implications, and vendor management challenges.

What factors should be considered when choosing an IT infrastructure outsourcing provider?

Factors to consider include the provider's experience and expertise, service-level agreements (SLAs), security measures, scalability options, support capabilities, reputation, and cost-effectiveness.

DevOps

SRE

SRE Monitoring: Golden Signals as a Key Metrics for System Reliability

Fedir Kompaniiets

September 9, 2024

Site Reliability Engineering (SRE) focuses on keeping services reliable and scalable. A crucial part of this discipline is monitoring, which is where the concept of Golden Signals comes into play. By focusing on just four “Golden Signals,” organizations can cut their incident response time in half. Golden Signals help teams quickly identify and diagnose issues within a system. This post explores how SRE teams use these metrics — latency, errors, traffic, saturation—to drive reliability and streamline troubleshooting in complex microservices environments. What are the four golden signals in SRE SRE principles streamline monitoring by focusing on four key metrics—latency, errors, traffic, and saturation—collectively known as Golden Signals. Instead of tracking numerous metrics across different technologies, focusing on these four metrics helps in quickly identifying and resolving issues. Latency: Latency is the time it takes for a request to travel from the client to the server and back. High latency can cause a poor user experience, making it critical to keep this metric in check. For example, in web applications, latency might typically range from 200 to 400 milliseconds. Latency under 300 ms ensures good user experience; errors >1% necessitate investigation. Latency monitoring helps detect slowdowns early, allowing for quick corrective action. Errors:Errors refer to the rate of failed requests. Monitoring errors is essential because not all errors have the same impact. For instance, a 500 error (server error) is more severe than a 400 error (client error) because the former often requires immediate intervention. Identifying error spikes can alert teams to underlying issues before they escalate into major problems. Traffic:Traffic measures the volume of requests coming into the system. Understanding traffic patterns helps teams prepare for expected loads and identify anomalies that might indicate issues such as DDoS attacks or unplanned spikes in user activity. For example, if your system is built to handle 1,000 requests per second and suddenly receives 10,000, this surge might overwhelm your infrastructure if not properly managed. Saturation:Saturation is about resource utilization; it shows how close your system is to reaching its full capacity. Monitoring saturation helps avoid performance bottlenecks caused by overuse of resources like CPU, memory, or network bandwidth. Think of it like a car's tachometer: once it redlines, you're pushing the engine too hard, risking a breakdown. Challenges associated with monitoring saturation in microservices: Complexity of Microservice Architectures:In microservice environments, various services are often built on different technologies (e.g., Node.js, databases, Swift). Each service may handle resource usage differently, making it challenging to monitor and understand overall system saturation accurately. Saturation occurs when resources such as CPU, memory, or network bandwidth are fully utilized, leading to degraded performance. Resource Utilization Visibility:Since each microservice can have its unique metrics, gaining a clear view of overall saturation is difficult. Teams need to aggregate and standardize data from multiple services to accurately assess saturation levels. This can be time-consuming and requires expertise across different technology stacks. Identification of Bottlenecks:Saturation often results in bottlenecks where some services are overloaded while others are underutilized. Pinpointing which service is causing the bottleneck in a complex system can be difficult without a cohesive monitoring approach like the one provided by SRE Golden Signals. Dynamic and Variable Loads:In microservice architectures, traffic and resource demands can fluctuate rapidly, making it essential to monitor saturation in real-time. Services must adapt to changes in load, but without proper monitoring, it's easy to miss critical saturation points that can impact overall system performance. Why Golden Signals Matter Golden Signals provide a comprehensive overview of a system's health, enabling SREs and DevOps teams to be proactive rather than reactive. By continuously monitoring these metrics, teams can spot trends and anomalies, address potential issues before they affect end-users, and maintain a high level of service reliability. SRE Golden Signals help in proactive system monitoring SRE Golden Signals are crucial for proactive system monitoring because they simplify the identification of root causes in complex applications. Instead of getting overwhelmed by numerous metrics from various technologies, SRE Golden Signals focus on four key indicators: latency, errors, traffic, and saturation. By continuously monitoring these signals, teams can detect anomalies early and address potential issues before they affect the end-user. For instance, if there is an increase in latency or a spike in error rates, it signals that something is wrong, prompting immediate investigation. What are the key benefits of using "golden signals" in a microservices environment? The "golden signals" approach is especially beneficial in a microservices environment because it provides a simplified yet powerful framework to monitor essential metrics across complex service architectures. Here’s why this approach is effective: ▪️Focuses on Key Performance Indicators (KPIs) By concentrating on latency, errors, traffic, and saturation, the golden signals let teams avoid the overwhelming and often unmanageable task of tracking every metric across diverse microservices. This strategic focus means that only the most crucial metrics impacting user experience are monitored. ▪️Enhances Cross-Technology Clarity In a microservices ecosystem where services might be built on different technologies (e.g., Node.js, DB2, Swift), using universal metrics minimizes the need for specific expertise. Teams can identify issues without having to fully understand the intricacies of every service’s technology stack. ▪️Speeds Up Troubleshooting Golden signals quickly highlight root causes by filtering out non-essential metrics, allowing the team to narrow down potential problem areas in a large web of interdependent services. This is crucial for maintaining service uptime and a seamless user experience. By applying these golden signals, SRE teams can efficiently diagnose and address issues, keeping complex applications stable and responsive. How to Monitor Microservices Using Golden Signals Monitoring microservices requires a streamlined approach, especially in environments where dozens (or hundreds) of services interact across various technology stacks. Golden Signals provide a clear, focused framework for tracking system health across these distributed systems. 1. Start by Defining What You’ll Monitor Each microservice should have its own observability pipeline for: Latency – Measure the time it takes for a request to be processed from start to finish. Errors – Capture both 4xx and 5xx HTTP codes or application-level exceptions. Traffic – Monitor request rates (RPS/QPS) and message throughput. Saturation – Track CPU, memory, thread usage, and queue lengths. Tip: Integrate these signals into SLIs (Service Level Indicators) and SLOs (Service Level Objectives) to measure system reliability over time. 2. Use Unified Observability Tools Deploy tools that allow you to collect metrics, logs, and traces across all services. Popular platforms include: Datadog and New Relic: Full-stack observability with built-in Golden Signals support. Prometheus + Grafana: Open-source, highly customizable metrics + dashboards. OpenTelemetry: Instrument code once to collect traces, metrics, and logs. 3. Isolate Service Boundaries Microservices should expose telemetry endpoints (e.g., /metrics for Prometheus or OpenTelemetry exporters). Group Golden Signals by service for clarity: MicroserviceLatencyError RateTrafficSaturationAuth220ms1.2%5k RPS78% CPUPayments310ms3.1%3k RPS89% Memory 4. Correlate Signals with Tracing Use distributed tracing to map requests across services. Tools like Jaeger or Zipkin help you: Trace latency across hops Find the exact service causing spikes in error rates Visualize traffic flows and bottlenecks 5. Automate Alerting with Context Set thresholds and anomaly detection for each signal: Latency > 500ms? Alert DevOps Saturation > 90%? Trigger autoscaling Error Rate > 2% over 5 mins? Notify engineering and create an incident ticket How can the "one-hop dependency view" assist in troubleshooting? The "one-hop dependency view" in application performance monitoring (APM) simplifies troubleshooting by focusing only on the services that directly impact the affected service. Here’s how it helps: ▪️Reduces Investigation Scope Rather than analyzing the entire microservices topology, the one-hop view narrows the scope to immediate dependencies. This selective approach allows engineers to focus on the most likely sources of issues, saving time in identifying the root cause. ▪️Streamlines Root-Cause Analysis By examining only the services one level away, the team can apply the golden signals (latency, errors, traffic, saturation) to detect any anomalies quickly. If a direct dependency is experiencing problems, it becomes immediately apparent without unnecessary complexity. ▪️Decreases Mean-Time-to-Recovery (MTTR) With fewer services to investigate, the MTTR is significantly reduced. Engineers can identify and address the root issue faster, minimizing downtime and maintaining the application’s reliability. Using the one-hop dependency view helps SRE teams keep the troubleshooting process efficient, especially in complex, interdependent service ecosystems Practical Application: Using APM Dashboards Application Performance Management (APM) dashboards integrate Golden Signals into a single view, allowing teams to monitor all critical metrics at once. For example, the operations team can use APM dashboards to get insights into latency, errors, traffic, and saturation. This holistic view simplifies troubleshooting and reduces the mean time to resolution (MTTR). Here's how they work together: ▪️Centralized Monitoring with APM Dashboards:APM tools provide dashboards that centralize the key Golden Signals—latency, errors, traffic, and saturation. This centralized view allows operations and development teams to monitor the health of their applications in real-time. By displaying these critical metrics in one place, APM tools simplify the identification of performance issues, making it easier to spot trends and anomalies that need attention. ▪️"One Hop" Dependency Views:APM tools often support a "one hop" dependency view, which shows only the immediate downstream services connected to a problematic service. This feature is particularly useful in complex microservice environments where pinpointing the root cause of an issue can be daunting. By focusing on immediate dependencies, teams can quickly assess which services are functioning within normal parameters and which are experiencing issues, thereby speeding up the troubleshooting process. ▪️Proactive Issue Detection and Resolution:Integrating Golden Signals into APM tools allows for proactive monitoring, where issues can be identified before they escalate into more serious problems. For example, if a service’s saturation levels begin trending upwards, the APM tool can alert the team before users experience degraded performance. This proactive approach helps reduce the mean time to resolution (MTTR) and improves overall service reliability. ▪️ Customization for Different Teams:The video also mentions that APM tools can be customized for different stakeholders within the organization. While the operations team may focus on all four Golden Signals, development teams might create specialized dashboards that prioritize the signals most relevant to their services. This tailored approach ensures that both dev and ops teams are aligned and can address issues quickly, often even before they impact the end-users. In essence, the integration of SRE Golden Signals with APM tools empowers teams to maintain high levels of service performance and reliability by providing clear, actionable insights into the most critical aspects of their systems. What is the significance of distinguishing 500 vs. 400 errors in SRE monitoring? The distinction between 500 and 400 errors in SRE monitoring is crucial because it impacts how issues are prioritized and addressed. Here’s a breakdown: Error TypeCauseSeverityResponse500 Server-side issueSystem/app failureHighImmediate investigation400 Client-side request issueBad input/authLowerMonitor trends only 500 Errors (Server Errors) These indicate serious problems on the server side, such as downtime or crashes. They require immediate attention because they prevent users from accessing the service entirely, often resulting in significant disruptions. For instance, a 500 error signals that something is failing within the server's infrastructure, meaning end-users can’t receive a response at all. Therefore, these errors are more critical in incident response and may trigger alerts for the SRE team. 400 Errors (Client Errors) These typically indicate client-side issues, where a request is invalid or needs adjustment, like when the requested resource doesn’t exist or is restricted. Such errors might be resolved simply by retrying or by the client correcting the request, so they’re usually less urgent. Monitoring 400 errors can still reveal trends or user behavior that may require attention, but they don't indicate systemic issues. In summary, recognizing the difference allows SREs to prioritize resources on issues that directly affect the system’s reliability and availability (like 500 errors) versus issues that may just need minor adjustments or retries. SRE Monitoring Dashboard Best Practices A well-structured SRE dashboard makes or breaks your incident response. It’s not just about displaying data — it’s about surfacing the right insights at the right time. Here's how to do it: 1. Prioritize Golden Signals Above All Place latency, errors, traffic, and saturation front and center. Avoid clutter—these four are your frontline defense against performance issues. Example Layout: Top row: Latency (P50/P95), Error Rate (%), Traffic (RPS), Saturation (CPU, Memory) Second row: SLIs, SLO burn rates, alerts over time 2. Use Visual Cues Effectively Color code thresholds: green (healthy), yellow (warning), red (critical) Sparklines for trend visualization Heatmaps to spot saturation across clusters or zones 3. Break Down by Environment & Service Segment dashboards by: Environment (prod, staging, dev) Service or team ownership Availability zone or region This helps you quickly isolate issues when incidents arise. 4. Integrate Logs and Traces Link metrics to logs or traces: Click on a spike in latency → see related trace in Jaeger or logs in Kibana Integrate dashboards with alert management (PagerDuty, Opsgenie) 5. Provide Different Views for Different Teams SRE/DevOps view: Full stack overview + real-time alerts Engineering view: Deep dive into a specific service’s metrics Management view: SLO dashboards and service health summaries Use templating (in Grafana or Datadog) so one dashboard serves multiple roles. 6. Regularly Review & Evolve Dashboards Prune unused panels or metrics Reassess thresholds quarterly Add annotations for incidents or deployments Dashboards should be living documents, not static reports. Learn from the official Google documentation. Conclusion Ready to take your system's reliability and performance to the next level? Gart Solutions offers top-tier SRE Monitoring services to ensure your systems are always running smoothly and efficiently. Our experts can help you identify and address potential issues before they impact your business, ensuring minimal downtime and optimal performance. Discover how Gart Solutions can enhance your system's reliability today! Learn from our IT Monitoring case studies (Monitoring Solution for a B2C SaaS Music Platform and Advanced Monitoring for Digital Landfill Management) to learn more about our SRE Monitoring expertise. After implementing Golden Signals, our customer reduced MTTR by 60% in under two months. https://youtu.be/BqPXUxhshTM?si=EWFFu0JNYgJCj7g0

Kubernetes

Hire Kubernetes Experts: Unlocking the Power of Container Orchestration

Roman Burdiuzha

October 2, 2023

[lwptoc] Before delving into the importance of hiring Kubernetes experts, it's crucial to grasp the fundamentals of Kubernetes. At its core, Kubernetes provides a framework for automating the deployment, scaling, and operation of application containers. It ensures that your applications run efficiently and consistently across various environments. As businesses embrace microservices and containerization, Kubernetes has become a cornerstone of modern application development. Its role in ensuring high availability, fault tolerance, and scalability cannot be overstated. Kubernetes allows organizations to keep pace with the ever-changing demands of the digital landscape. Why Hire Kubernetes Experts? Hiring Kubernetes experts is an investment that can significantly impact your organization's efficiency and competitiveness. These experts bring invaluable knowledge and skills to the table, including: Container Orchestration. They excel in managing and orchestrating containers efficiently. Troubleshooting. Kubernetes experts are adept at identifying and resolving issues quickly. Optimization. They can optimize your Kubernetes clusters for cost-effectiveness. Security. Experts ensure your containers are secure and comply with best practices. Skills and Qualifications of Kubernetes Experts To make an informed hiring decision, it's crucial to understand the key skills and qualifications that Kubernetes experts should possess. Look for candidates with: Certifications: Kubernetes Certified Administrator (CKA) and Kubernetes Certified Developer (CKD) Certifications play a pivotal role in establishing the credibility and expertise of Kubernetes professionals. Two of the most highly regarded certifications in the Kubernetes ecosystem are the Kubernetes Certified Administrator (CKA) and Kubernetes Certified Developer (CKD). These certifications are offered by the Cloud Native Computing Foundation (CNCF) and are recognized globally for their rigor and relevance. Kubernetes Certified Administrator (CKA): The CKA certification is tailored for individuals responsible for managing, operating, and maintaining Kubernetes clusters. It validates the administrator's ability to perform essential tasks such as: Configuring Kubernetes networking. Managing cluster nodes and ensuring their proper functioning. Deploying applications using Kubernetes resources. Securing the Kubernetes cluster. The CKA exam is hands-on, requiring candidates to complete practical tasks within a real Kubernetes environment. This practical approach ensures that certified administrators have the practical skills necessary to excel in Kubernetes management. Kubernetes Certified Developer (CKD): The CKD certification is designed for developers who work with Kubernetes to deploy, manage, and troubleshoot containerized applications. It verifies the developer's proficiency in tasks such as: Containerizing applications. Debugging and troubleshooting applications running on Kubernetes. Managing application configurations using ConfigMaps and Secrets. Working with Kubernetes APIs and resources. Like the CKA, the CKD certification exam is hands-on, emphasizing practical skills development. Certified developers are well-equipped to create and maintain applications in Kubernetes environments. These certifications are valuable not only for individual career growth but also for organizations seeking to build a strong Kubernetes team. Hiring professionals with CKA and CKD certifications ensures that your team possesses the skills and knowledge needed to navigate the complexities of Kubernetes effectively. Additionally, these certifications are indicative of a commitment to excellence in container orchestration, which can significantly contribute to the success of Kubernetes initiatives within your organization. Experience Seek professionals with hands-on experience in Kubernetes deployments. When hiring Kubernetes experts, one of the critical factors to consider is their practical, hands-on experience in Kubernetes deployments. This aspect of their expertise carries significant weight for several reasons: Real-world Application Kubernetes is a powerful tool, but its effective utilization often requires practical experience. Professionals with hands-on experience have encountered and resolved real-world challenges, making them well-prepared to handle complex deployment scenarios. Troubleshooting Skills Experience in Kubernetes deployments equips experts with strong troubleshooting skills. They are adept at identifying and resolving issues quickly, minimizing downtime and ensuring the smooth operation of containerized applications. Optimization Hands-on experience also includes optimizing Kubernetes clusters for efficiency and cost-effectiveness. These experts can fine-tune configurations, resource allocation, and scaling strategies to ensure your infrastructure performs optimally. Best Practices Professionals with hands-on experience are well-versed in Kubernetes best practices. They understand the nuances of configuring, securing, and managing Kubernetes resources in alignment with industry standards. Adaptability Kubernetes is a rapidly evolving technology, and experienced professionals are more adaptable to changes and updates in the Kubernetes ecosystem. They can stay up-to-date with the latest features and incorporate them into your deployment strategy. Project-specific Knowledge Depending on your organization's specific needs and projects, experienced Kubernetes experts may have relevant project-specific knowledge that can accelerate your deployment and ensure its success. To identify candidates with hands-on Kubernetes experience, consider conducting technical interviews that involve practical scenarios and problem-solving exercises. Ask candidates about their past projects, the complexity of deployments they've managed, and any challenges they've overcome. This information will give you valuable insights into their practical expertise and their ability to contribute effectively to your Kubernetes initiatives. Ultimately, professionals with hands-on experience are more likely to hit the ground running and make a meaningful impact on your Kubernetes projects from day one. ? Ready to elevate your container orchestration game? Hire Kubernetes Experts today and experience seamless deployment and management. Don't miss out on unlocking the power of Kubernetes! Problem-Solving Abilities: The Key to Effective Kubernetes Management In the dynamic world of Kubernetes, where containerized applications operate in complex and ever-evolving environments, the ability to troubleshoot complex issues is a hallmark of a skilled Kubernetes expert. Here's why problem-solving abilities are paramount for professionals in this field: Kubernetes deployments often consist of numerous interconnected components, including pods, services, networking configurations, and storage volumes. When issues arise, they can be multifaceted, requiring experts to navigate the intricacies of these environments. Kubernetes is used to deploy a wide variety of workloads, from microservices to data-intensive applications. Each workload comes with its unique challenges and potential points of failure. Kubernetes experts must be adept at diagnosing issues specific to different types of workloads. Scripting and Automation Skills: Proficiency in scripting languages and automation tools is a plus In the realm of Kubernetes, proficiency in scripting languages and automation tools is a highly desirable trait for experts. Common scripting languages and automation tools used in Kubernetes environments include Bash, Python, PowerShell, Ansible, and Terraform. Kubernetes experts who are proficient in these languages and tools can create scripts and automation workflows to manage various aspects of Kubernetes, from provisioning clusters to deploying applications and managing configurations. Kubernetes environments often involve repetitive tasks, such as creating, scaling, and managing containers. Scripting allows experts to automate these tasks, enhancing efficiency and ensuring consistency in configurations and deployments. The concept of Infrastructure as Code is fundamental in modern DevOps practices. Kubernetes experts who can write scripts to define infrastructure and application configurations (using tools like YAML or Helm charts) can manage infrastructure more effectively, reducing the chances of configuration drift. Kubernetes deployments vary from one organization to another, requiring custom configurations and automation. Scripting skills enable experts to tailor Kubernetes setups to meet specific business needs, allowing for greater flexibility and adaptability. Where to Find Kubernetes Experts When on the hunt for Kubernetes experts, it's essential to explore various avenues to ensure you find the talent that best fits your organization's needs. Here are some strategies and resources to consider: Job Boards and Platforms Traditional job boards like LinkedIn, Indeed, and Glassdoor often feature job postings for Kubernetes experts. These platforms allow you to reach a broad audience of potential candidates. Specialized Tech Job Boards Consider niche job boards and websites dedicated to tech professionals. These platforms attract candidates with specific expertise in Kubernetes and related technologies. Consulting Firms Partnering with consulting firms (like Gart) that specialize in Kubernetes and containerization can be a strategic move. These firms typically have a pool of experienced Kubernetes experts ready to assist your organization. Networking Attend Kubernetes-related events, meetups, and conferences to connect with professionals in the field. Networking can lead to valuable recommendations and referrals. Outsourcing Consider outsourcing Kubernetes-related tasks and projects to experienced service providers. Outsourcing can provide access to a specialized workforce without the overhead of full-time hires. Gart is a reputable outsourcing partner known for its expertise in Kubernetes and container orchestration. With a proven track record of delivering successful Kubernetes projects, Gart offers a range of services, including Kubernetes consulting, deployment, management, and support. By partnering with Gart, you can tap into their pool of Kubernetes experts, ensuring that your projects are executed with precision and efficiency. Kubernetes Engineer Salary While hiring Kubernetes experts can be a significant expense, the benefits far outweigh the costs. Consider the long-term value they bring to your organization in terms of efficiency, reliability, and innovation. Several factors can influence the salary of a Kubernetes engineer: Experienced Kubernetes engineers with several years of hands-on experience tend to command higher salaries. Their ability to troubleshoot complex issues, optimize clusters, and implement best practices is highly valued. Salary ranges can vary significantly depending on the geographical location. Tech hubs such as Silicon Valley, New York City, and Seattle often offer higher salaries to tech professionals, including Kubernetes engineers, to account for the cost of living in those areas. Holding certifications such as the Kubernetes Certified Administrator (CKA) or Kubernetes Certified Developer (CKD) can positively impact salary negotiations. These certifications validate a candidate's skills and can lead to higher earning potential. Larger organizations or enterprises may offer more competitive compensation packages, including higher base salaries, bonuses, and benefits, to attract top Kubernetes talent. Kubernetes engineers with additional skills or specializations in related areas such as cloud platforms (e.g., AWS, Azure, GCP), DevOps practices, or microservices architecture may command higher salaries due to their broader skill set. While specific salary figures can vary widely based on the factors mentioned above, Kubernetes engineers can typically expect a competitive salary range that falls within the broader category of DevOps or cloud engineering roles. Kubernetes Salary CountryAverage Annual Salary Range (USD)United States$90,000 - $150,000+United Kingdom£45,000 - £90,000+Canada$70,000 - $120,000+AustraliaAUD 80,000 - AUD 130,000+Germany€50,000 - €100,000+IndiaINR 800,000 - INR 1,800,000+BrazilBRL 60,000 - BRL 120,000+SingaporeSGD 60,000 - SGD 120,000+South AfricaZAR 300,000 - ZAR 600,000+France€45,000 - €90,000+Ukraine$25,000 - $60,000+Table that includes the approximate salary ranges for Kubernetes professionals.

DevOps

Hire DevOps Engineers: Building Your Team and Understanding DevOps Salary

Roman Burdiuzha

September 30, 2023

DevOps, a portmanteau of "Development" and "Operations," represents a cultural and technical movement that bridges the gap between software development and IT operations. It's all about fostering collaboration, breaking down silos, and streamlining processes to achieve one primary goal: delivering software faster, more reliably, and with higher quality. [lwptoc] DevOps is the key to staying ahead of the curve. Without DevOps, companies risk falling behind their competitors and struggling to adapt to changing market demands. These professionals are the architects of streamlined software delivery pipelines, the guardians of system reliability, and the champions of efficiency. Their skills are in high demand across various industries, making them some of the most sought-after talents in the tech world. In this article, we will delve into the strategies for identifying and recruiting top-notch DevOps Engineers for your team. We'll shed light on the critical aspects to focus on during the hiring process and explore why considering the possibility of outsourcing DevOps tasks can be a valuable option. Who Are DevOps Engineers? Ever wondered what the buzz about DevOps Engineers is all about? Brace yourself because these folks are the ultimate multitaskers – part sysadmin, part coder, all-around tech maestros! In the world of traditional software development, it's like a relay race – developers pass the code baton to testers, then back to fix bugs, then off to deployment. It's a whole song and dance, and in big projects, it can be a bit of a headache. Now, imagine DevOps as your tech superhero. They revolutionize the game! The traditional cycle gets a makeover: automate everything you can, use the same tools and setups across all departments, and get that final code to the users ASAP. In large companies with massive projects, the old-school approach leads to a lot of cons. Why? Because of the clear division of responsibilities – designers do their thing, developers code, testers find bugs, and other experts manage their processes. But it's like everyone's in their own little tech bubble, and getting them to sync up is like herding cats. With DevOps, it's a different story. Automation is the name of the game! If it can be automated, it should be. Each department shares the same software and configurations, creating a unified workspace for developers, testers, and support champs. This not only speeds up testing and code release but also saves time on setting up individual workstations. So, what's the magic formula? DevOps Engineers craft and fine-tune infrastructure, automate development and release processes, and team up with developers to ensure the code is top-notch. Security and infrastructure protection? Yup, that's in their bag of tricks too! The main mission of DevOps Engineers? Maximize automation to turbocharge development and operational processes within the team. And hey, DevOps comes in flavors: Classic DevOps: Linux/Windows/Mac OS wizards, CI/CD pros, with a knack for basic sysadmin principles. TechOps: Testing and monitoring pros handling incidents and tech support, experts in existing services. CloudOps: Architects of cloud-based solutions, optimizing budget usage for public clouds. DevSecOps: Risk assessors and security tech integrators, focusing on system flexibility. So, buckle up, because DevOps is where the magic happens – making automation the cool kid on the block! Defining the Role of a DevOps Engineer DevOps engineers are the architects of synergy in modern software development. They play a pivotal role in bridging the traditionally separate domains of software development and IT operations. A DevOps engineer is a versatile professional who combines the skills of a developer and an IT operations specialist to facilitate the seamless delivery and maintenance of software applications. Key Responsibilities of DevOps Engineers Automation and Tooling DevOps engineers are responsible for automating manual processes wherever possible. This includes the automation of software builds, testing, deployment, and infrastructure provisioning. They work with tools like Jenkins, GitLab CI/CD, and Ansible to create efficient pipelines. Continuous Integration/Continuous Deployment (CI/CD) DevOps engineers design and implement CI/CD pipelines to enable the rapid and reliable delivery of code changes. This involves setting up testing environments, monitoring code repositories, and automating the deployment process. Infrastructure as Code (IaC) They use IaC tools like Terraform and CloudFormation to define and manage infrastructure components programmatically. This ensures consistency, scalability, and version control of infrastructure. Containerization and Orchestration DevOps engineers work with technologies such as Docker for containerization and Kubernetes for container orchestration. They containerize applications for portability and efficient resource utilization. Monitoring and Logging They implement monitoring solutions to track the performance and health of applications and infrastructure. Tools like Prometheus and ELK Stack are commonly used for this purpose. Security and Compliance DevOps engineers embed security practices into the development process. They manage access controls, ensure compliance with industry standards, and monitor for vulnerabilities. Skills Expected from DevOps Engineers: Proficiency in CI/CD methodologies. Scripting and automation skills (e.g., Python, Shell). Expertise in containerization and orchestration tools (e.g., Docker, Kubernetes). Cloud platform knowledge (e.g., AWS, Azure, GCP). Strong problem-solving abilities. Communication and teamwork skills. ? Ready to supercharge your DevOps initiatives? Unlock the expertise and efficiency your organization needs with Gart's dedicated team of DevOps engineers. Contact us today to get started! Identifying Your Hiring Needs In the quest to bring DevOps excellence to your organization, it's imperative to take a strategic approach to determine your precise hiring requirements. Let's explore the factors that should influence your decision to hire DevOps engineers and how various aspects of your organization can shape those needs: Factors Influencing Your Decision to Hire DevOps Engineers: Scope of Projects: Consider the size and complexity of your software development projects. Larger, more intricate projects may require a dedicated team of DevOps engineers to manage the infrastructure, automation, and deployment effectively. Current Infrastructure: Evaluate your existing infrastructure and tools. If you are transitioning to cloud-based services or implementing containerization, you may require specialized DevOps expertise. Company Culture: Assess your organization's commitment to DevOps principles. A strong DevOps culture often necessitates a dedicated team that can drive cultural change and implement best practices. Scaling Needs: Analyze your growth trajectory. Rapidly expanding organizations may require DevOps engineers to facilitate the scalability and manage the increased workload. Budget Considerations: Examine your budget constraints. Determine whether you can afford full-time DevOps engineers or whether a part-time or contract arrangement is more financially viable. Impact of Organization's Size, Project Complexity, and Growth Plans: Organization Size: Small Companies: Smaller organizations may initially rely on cross-functional teams where developers handle some DevOps tasks. As the organization grows, they may hire dedicated DevOps professionals. Medium-sized Companies: Medium-sized organizations with moderate project complexity might benefit from having a mix of full-time and contract DevOps engineers. Large Enterprises: Large enterprises often have complex projects and multiple teams. They typically require full-time DevOps engineers to manage the intricate infrastructure and continuous delivery pipelines. Project Complexity: Simple Projects: Straightforward projects with minimal infrastructure needs may not necessitate a full-time DevOps role. Part-time or contract DevOps support could be sufficient. Complex Projects: Projects involving microservices, containerization, or multiple environments may require a dedicated DevOps team. Growth Plans: Conservative Growth: If your organization has steady, controlled growth plans, you might opt for part-time or contract DevOps engineers to manage fluctuating demands. Rapid Growth: High-growth organizations should consider hiring full-time DevOps engineers to ensure the scalability, stability, and efficiency of their infrastructure. DevOps: Essential Skills (Hard & Soft) for Aspiring Professionals While the specific technologies may vary from project to project, getting your foot in the door becomes a whole lot easier if you come equipped with the knowledge and skills to navigate: Cloud platforms (e.g., AWS, Google Cloud, or Microsoft Azure) Compute networks and protocols: understanding network topology basics, fundamental TCP/IP stack protocols (IP, TCP, UDP, HTTP/HTTPS) API concepts (REST, gRPC, GraphQL) Infrastructure as Code (IAC) tools (Terraform/Terragrunt) Containerization (Docker, Kubernetes) Continuous Integration (CI) and Continuous Delivery (CD) tools (Jenkins, GitlabCI, CircleCI, GitHub Actions) Version control systems (Git, etc.) Configuration management tools (Ansible, Puppet) Programming languages (Python, JavaScript/TypeScript, or Go) Operating systems and related tools On the soft skills front, communicativeness, self-motivation, strong analytical abilities, a knack for quick learning, and effective problem-solving skills are non-negotiable. Without these, the career roadmap might hit a few bumps. The Hiring Process In the pursuit of top-tier DevOps talent, a well-structured hiring process is your compass to success. This section will navigate you through the critical stages of the hiring journey, ensuring you find the perfect fit for your DevOps team. Write a Clear and Enticing Job Description Your job description is the first impression candidates have of your organization. Craft it with care to attract the right talent. Clearly outline the responsibilities, objectives, and expectations. Explain how the DevOps engineer's work contributes to the organization's success. List the tools, languages, and platforms relevant to your DevOps stack. Showcase your organization's DevOps culture and values to attract like-minded individuals. Technical assessments are invaluable in gauging a candidate's skills. Create real-world scenarios to assess coding, automation, and scripting skills. Evaluate a candidate's ability to architect scalable and robust systems. Present challenges that require analytical thinking and creative solutions. Cultural Fit DevOps isn't just about technical skills; it's also about collaboration and shared values. In interviews, explore a candidate's understanding of DevOps principles and how they align with your organization's culture. Evaluate a candidate's ability to work collaboratively in cross-functional teams. Assess if their approach to solving problems aligns with your organization's style. In-Depth Interviews Interviews should go beyond technical expertise to reveal a candidate's true potential: Ask about past experiences, challenges, and solutions to gain insights into a candidate's problem-solving abilities. Present hypothetical scenarios to assess their decision-making and troubleshooting skills. Gauge their passion for DevOps principles and their fit within your team's culture. Remember, the hiring process is a two-way street. It's not only about evaluating candidates but also showcasing your organization's appeal. Transparency, professionalism, and a well-structured process can attract top DevOps talent. Consider Outsourcing Your in-house engineers may occasionally face DevOps challenges, but their limited exposure to these specialized tasks can hinder their proficiency. For instance, project migrations may occur infrequently, perhaps once or twice in a project's history. Similarly, tasks like disaster recovery might be rare occurrences. As a result, your in-house engineers may have limited hands-on experience and may not be well-equipped to handle these tasks efficiently. Outsourcing DevOps tasks to specialized professionals can provide several advantages: Expertise and Experience Outsourced DevOps experts are dedicated specialists with extensive experience in handling a wide range of DevOps challenges. They bring a wealth of knowledge and best practices to your projects. Error Reduction By entrusting specialized tasks to experts, you minimize the risk of errors and potential disruptions in critical processes like project migrations and disaster recovery. Cost Efficiency Outsourcing allows you to tap into expertise on an as-needed basis, avoiding the expense of maintaining a full-time DevOps team for occasional tasks. Focus on Core Competencies Your in-house engineers can concentrate on their core responsibilities, such as feature development and innovation, while leaving specialized DevOps tasks to the experts. By recognizing the infrequent nature of certain DevOps challenges and leveraging outsourced DevOps specialists like Gart, you can enhance the efficiency and reliability of these critical processes. This strategic decision enables your organization to benefit from specialized expertise while allowing your in-house team to remain focused on their core competencies, ultimately driving business success. DevOps Salary The salary of a DevOps engineer can vary significantly based on several factors, including location, experience, skills, and the employing organization. Location Salaries for DevOps engineers can vary greatly depending on the region or city in which they work. Tech hubs such as Silicon Valley, New York City, and San Francisco typically offer higher salaries to DevOps professionals due to the higher cost of living and strong demand for tech talent. On the other hand, salaries may be lower in areas with a lower cost of living. Experience Experience plays a significant role in determining a DevOps engineer's salary. Entry-level DevOps engineers can expect a lower salary compared to their more experienced counterparts. As engineers gain more years of experience and expertise, their earning potential typically increases. Skills Specific skills and certifications can impact a DevOps engineer's salary. Proficiency in popular DevOps tools like Docker, Kubernetes, Jenkins, and Ansible can lead to higher compensation. Additionally, certifications from organizations like AWS, Microsoft, and Google Cloud can be associated with higher salaries. Organization Type The type of organization also influences DevOps salaries. Large enterprises and tech companies often offer competitive compensation packages to attract top DevOps talent. Startups and smaller organizations may offer competitive salaries along with equity or other perks. Average Salary Range: Entry-Level DevOps Engineer: $70,000 to $100,000 per year.Mid-Level DevOps Engineer: $100,000 to $150,000 per year.Senior DevOps Engineer: $150,000 to $200,000+ per year. Please note that these figures are approximate and can vary widely based on the factors mentioned earlier. Additionally, the job market is dynamic, and salary ranges may have changed since my last update. AWS DevOps Salary vs. Azure DevOps Salary Both AWS (Amazon Web Services) and Azure (Microsoft Azure) are major cloud service providers, and DevOps engineers skilled in either platform are in high demand. However, there can be some differences in salary between AWS DevOps engineers and Azure DevOps engineers. Specialized skills and certifications related to AWS or Azure can also influence your salary. Holding certifications such as AWS Certified DevOps Engineer or Microsoft Certified: Azure DevOps Engineer Expert can lead to higher salaries. DevOps Salary CountryEntry-Level Salary (per year, USD)Mid-Level Salary (per year, USD)Senior-Level Salary (per year, USD)United States$70,000 to $120,000$100,000 to $150,000$150,000 to $200,000+United Kingdom£30,000 to £45,000 (~$41,000 to ~$61,000)£45,000 to £70,000 (~$61,000 to ~$95,000)£70,000 to £100,000+ (~$95,000 to ~$136,000)CanadaCAD 60,000 to CAD 90,000 (~$47,000 to ~$70,000)CAD 90,000 to CAD 120,000 (~$70,000 to ~$94,000)CAD 120,000 to CAD 160,000+ (~$94,000 to ~$125,000)AustraliaAUD 70,000 to AUD 100,000 (~$51,000 to ~$73,000)AUD 100,000 to AUD 150,000 (~$73,000 to ~$109,000)AUD 150,000 to AUD 200,000+ (~$109,000 to ~$146,000)Germany€45,000 to €65,000 (~$53,000 to ~$77,000)€65,000 to €90,000 (~$77,000 to ~$106,000)€90,000 to €120,000+ (~$106,000 to ~$141,000)IndiaINR 4,00,000 to INR 8,00,000 (~$5,400 to ~$10,800)INR 8,00,000 to INR 15,00,000 (~$10,800 to ~$20,200)INR 15,00,000 to INR 25,00,000+ (~$20,200 to ~$33,800)SingaporeSGD 50,000 to SGD 80,000 (~$37,000 to ~$59,000)SGD 80,000 to SGD 120,000 (~$59,000 to ~$89,000)SGD 120,000 to SGD 180,000+ (~$89,000 to ~$133,000)UkraineUAH 200,000 to UAH 350,000 (~$7,500 to ~$13,100)UAH 350,000 to UAH 550,000 (~$13,100 to ~$20,500)UAH 550,000 to UAH 800,000+ (~$20,500 to ~$29,800)Table that includes the approximate salary ranges for DevOps professionals Hire Gart's elite team of DevOps engineers today and experience unparalleled expertise, efficiency, and innovation in your projects. Contact us now to get started on your journey to DevOps excellence!

Definition of Infrastructure Outsourcing

Benefits of IT Infrastructure Outsourcing

Manage cloud complexity

Access to Specialized Expertise

Enhanced Focus on Core Competencies

Cost Savings and Budget Predictability

Scalability and Flexibility

Robust Security Measures

Piyush Tripathi About the Benefits of Outsourcing Infrastructure

What are the potential benefits of outsourcing infrastructure?

What expertise and capabilities would you can lose or gain by outsourcing our infrastructure?

What are the potential implications for internal IT team if they choose to outsource infrastructure?

The Process for Outsourcing IT Infrastructure

Evaluating the Outsourcing Vendor: Ensuring Reliability and Compatibility

Google Search

Industry Platforms and Directories

Freelance Platforms

Online Presence

Industry Certifications and Partnerships

Why Ukraine is an Attractive Outsourcing Destination for IT Infrastructure

Long Story Short

FAQ

What is Infrastructure Outsourcing?

What are IT infrastructure outsourcing companies?

Why Outsourcing Your IT Infrastructure Is a Good Idea?

What services are typically included in IT infrastructure outsourcing?

What are the disadvantages of outsourcing infrastructure?

What factors should be considered when choosing an IT infrastructure outsourcing provider?

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