Is Jenkins Still Alive? A Fine Line Between Love and Hate

In this guide, we will explore various scenarios for working with Gitlab CI/CD Pipelines. We will provide examples of using the most commonly used options when working with CI/CD. The template library will be expanded as needed. [lwptoc] You can easily find what CI/CD is and why it's needed through a quick internet search. Full documentation on configuring pipelines in GitLab is also readily available. Here, I'll briefly and as seamlessly as possible describe the system's operation from a bird's-eye view: A developer submits a commit to the repository, creates a merge request through the website, or initiates a pipeline explicitly or implicitly in some other way. The pipeline configuration selects all tasks whose conditions allow them to run in the current context. Tasks are organized according to their respective stages. Stages are executed sequentially, meaning that all tasks within a stage run in parallel. If a stage fails (i.e., if at least one task in the stage fails), the pipeline typically stops (almost always). If all stages are completed successfully, the pipeline is considered to have passed successfully. In summary, we have: A pipeline: a set of tasks organized into stages, where you can build, test, package code, deploy a ready build to a cloud service, and more. A stage: a unit of organizing a pipeline, containing one or more tasks. A task (job): a unit of work in the pipeline, consisting of a script (mandatory), launch conditions, settings for publishing/caching artifacts, and much more. Consequently, the task when setting up CI/CD is to create a set of tasks that implement all necessary actions for building, testing, and publishing code and artifacts. ? Discover the Power of CI/CD Services with Gart Solutions – Elevate Your DevOps Workflow! Templates In this section, we will provide several ready-made templates that you can use as a foundation for writing your own pipeline. Minimal Scenario For small tasks consisting of a couple of jobs: stages: - build TASK_NAME: stage: build script: - ./build_script.sh stages: Describes the stages of our pipeline. In this example, there is only one stage. TASK_NAME: The name of our job. stage: The stage to which our job belongs. script: A set of scripts to execute. Standard Build Cycle Typically, the CI/CD process includes the following steps: Building the package. Testing. Delivery. Deployment. You can use the following template as a basis for such a scenario: stages: - build - test - delivery - deploy build-job: stage: build script: - echo "Start build job" - build-script.sh test-job: stage: test script: - echo "Start test job" - test-script.sh delivery-job: stage: delivery script: - echo "Start delivery job" - delivery-script.sh deploy-job: stage: deploy script: - echo "Start deploy job" - deploy-script.sh Jobs In this section, we will explore options that can be applied when defining a job. The general syntax is as follows <TASK_NAME>: <OPTION1>: ... <OPTION2>: ... We will list commonly used options, and you can find the complete list in the official documentation. Stage Documentation This option specifies to which stage the job belongs. For example: stages: - build - test TASK_NAME: ... stage: build TASK_NAME: ... stage: test Stages are defined in the stages directive. There are two special stages that do not need to be defined in stages: .pre: Runs before executing the main pipeline jobs. .post: Executes at the end, after the main pipeline jobs have completed. For example: stages: - build - test getVersion: stage: .pre script: - VERSION=$(cat VERSION_FILE) - echo "VERSION=${VERSION}" > variables.env artifacts: reports: dotenv: variables.env In this example, before starting all build jobs, we define a variable VERSION by reading it from a file and pass it as an artifact as a system variable. Image Documentation Specifies the name of the Docker image to use if the job runs in a Docker container: TASK_NAME: ... image: debian:11 Before_script Documentation This option defines a list of commands to run before the script option and after obtaining artifacts: TASK_NAME: ... before_script: - echo "Run before_script" Script Documentation The main section where job tasks are executed is described in the script option. Let's explore it further. Describing an array of commands: Simply list the commands that need to be executed sequentially in your job: TASK_NAME: ... script: - command1 - command2 Long commands split into multiple lines: You may need to execute commands as part of a script (with comparison operators, for example). In this case, a multiline format is more convenient. You can use different indicators: Using |: TASK_NAME: ... script: - | command_line1 command_line2 Using >: TASK_NAME: ... script: - > command_line1 command_line1_continue command_line2 command_line2_continue After_script Documentation A set of commands that are run after the script, even if the script fails: TASK_NAME: ... script: ... after_script: - command1 - command2 Artifacts Documentation Artifacts are intermediate builds or files that can be passed from one stage to another. You can specify which files or directories will be artifacts: TASK_NAME: ... artifacts: paths: - ${PKG_NAME}.deb - ${PKG_NAME}.rpm - *.txt - configs/ In this example, artifacts will include all files with names ending in .txt, ${PKG_NAME}.deb, ${PKG_NAME}.rpm, and the configs directory. ${PKG_NAME} is a variable (more on variables below). In other jobs that run afterward, you can use these artifacts by referencing them by name, for example: TASK_NAME_2: ... script: - cat *.txt - yum -y localinstall ${PKG_NAME}.rpm - apt -y install ./${PKG_NAME}.deb You can also pass system variables that you defined in a file: TASK_NAME: ... script: - echo -e "VERSION=1.1.1" > variables.env ... artifacts: reports: dotenv: variables.env In this example, we pass the system variable VERSION with the value 1.1.1 through the variables.env file. If necessary, you can exclude specific files by name or pattern: TASK_NAME: ... artifacts: paths: ... exclude: - ./.git/**/ In this example, we exclude the .git directory, which typically contains repository metadata. Note that unlike paths, exclude does not recursively include files and directories, so you need to explicitly specify objects. Extends Documentation Allows you to separate a part of the script into a separate block and combine it with a job. To better understand this, let's look at a specific example: .my_extend: stage: build variables: USERNAME: my_user script: - extend script TASK_NAME: extends: .my_extend variables: VERSION: 123 PASSWORD: my_pwd script: - task script In this case, in our TASK_NAME job, we use extends. As a result, the job will look like this: TASK_NAME: stage: build variables: VERSION: 123 PASSWORD: my_pwd USERNAME: my_user script: - task script What happened: stage: build came from .my_extend. Variables were merged, so the job includes VERSION, PASSWORD, and USERNAME. The script is taken from the job (key values are not merged; the job's value takes precedence). Environment Documentation Specifies a system variable that will be created for the job: TASK_NAME: ... environment: RSYNC_PASSWORD: rpass EDITOR: vi Release Documentation Publishes a release on the Gitlab portal for your project: TASK_NAME: ... release: name: 'Release $CI_COMMIT_TAG' tag_name: '$CI_COMMIT_TAG' description: 'Created using the release-cli' assets: links: - name: "myprogram-${VERSION}" url: "https://gitlab.com/master.dmosk/project/-/jobs/${CI_JOB_ID}/artifacts/raw/myprogram-${VERSION}.tar.gz" rules: - if: $CI_COMMIT_TAG Please note that we use the if rule (explained below). ? Read more: CI/CD Pipelines and Infrastructure for E-Health Platform Rules and Constraints Directives To control the behavior of job execution, you can use directives with rules and conditions. You can execute or skip jobs depending on certain conditions. Several useful directives facilitate this, which we will explore in this section. Rules Documentation Rules define conditions under which a job can be executed. Rules regulate different conditions using: if changes exists allow_failure variables The if Operator: Allows you to check a condition, such as whether a variable is equal to a specific value: TASK_NAME: ... rules: - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' In this example, the commit must be made to the default branch. Changes: Checks whether changes have affected specific files. This check is performed using the changes option:In this example, it checks if the script.sql file has changed: TASK_NAME: ... rules: - changes: - script.sql Multiple Conditions: You can have multiple conditions for starting a job. Let's explore some examples. a) If the commit is made to the default branch AND changes affect the script.sql file: TASK_NAME: ... rules: - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' changes: - script.sql b) If the commit is made to the default branch OR changes affect the script.sql file: TASK_NAME: ... rules: - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' - changes: - script.sql Checking File Existence: Determined using exists: TASK_NAME: ... rules: - exists: - script.sql The job will only execute if the script.sql file exists. Allowing Job Failure: Defined with allow_failure: TASK_NAME: ... rules: - allow_failure: true In this example, the pipeline continues even if the TASK_NAME job fails. Conditional Variable Assignment: You can conditionally assign variables using a combination of if and variables: TASK_NAME: ... rules: - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' variables: DEPLOY_VARIABLE: "production" - if: '$CI_COMMIT_BRANCH =~ demo' variables: DEPLOY_VARIABLE: "demo" When Documentation Determines when a job should be run, such as on manual trigger or at specific intervals. The when directive determines when a job should run. Possible values include: on_success (default): Runs if all previous jobs have succeeded or have allow_failure: true. manual: Requires manual triggering (a "Run Pipeline" button appears in the GitLab CI/CD panel). always: Runs always, regardless of previous results. on_failure: Runs only if at least one previous job has failed. delayed: Delays job execution. You can control the delay using the start_in directive. never: Never runs. Let's explore some examples: Manual: TASK_NAME: ... when: manual The job won't start until you manually trigger it in the GitLab CI/CD panel. 2. Always: TASK_NAME: ... when: always The job will always run. Useful, for instance, when generating a report regardless of build results. On_failure: TASK_NAME: ... on_failure: always The job will run if there is a failure in previous stages. You can use this for sending notifications. Delayed: TASK_NAME: ... when: delayed start_in: 30 minutes The job will be delayed by 30 minutes. Never: TASK_NAME: ... when: never The job will never run. Using with if: TASK_NAME: ... rules: - if: '$CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH' when: manual In this example, the job will only execute if the commit is made to the default branch and an administrator confirms the run. Needs Documentation Allows you to specify conditions for job execution based on the presence of specific artifacts or completed jobs. With rules of this type, you can control the order in which jobs are executed. Let's look at some examples. Artifacts: This directive accepts true (default) and false. To start a job, artifacts must be uploaded in previous stages. Using this configuration: TASK_NAME: ... needs: - artifacts: false ...allows the job to start without artifacts. Job: You can start a job only after another job has completed: TASK_NAME: ... needs: - job: createBuild In this example, the task will only start after the job named createBuild has finished. ? Read more: Building a Robust CI/CD Pipeline for Cybersecurity Company Variables In this section, we will discuss user-defined variables that you can use in your pipeline scripts as well as some built-in variables that can modify the pipeline's behavior. User-Defined Variables User-defined variables are set using the variables directive. You can define them globally for all jobs: variables: PKG_VER: "1.1.1" Or for a specific job: TASK_NAME: ... variables: PKG_VER: "1.1.1" You can then use your custom variable in your script by prefixing it with a dollar sign and enclosing it in curly braces, for example: script: - echo ${PKG_VER} GitLab Variables These variables help you control the build process. Let's list these variables along with descriptions of their properties: Variable Description Example LOG_LEVEL Sets the log level. Options: debug, info, warn, error, fatal, and panic. Lower priority compared to command-line arguments --debug and --log-level. LOG_LEVEL: warning CI_DEBUG_TRACE Enables or disables debug tracing. Takes values true or false. CI_DEBUG_TRACE: true CONCURRENT Limits the number of jobs that can run simultaneously. CONCURRENT: 5 GIT_STRATEGY Controls how files are fetched from the repository. Options: clone, fetch, and none (don't fetch). GIT_STRATEGY: none Additional Options In this section, we will cover various options that were not covered in other sections. Workflow: Allows you to define common rules for the entire pipeline. Let's look at an example from the official GitLab documentation: workflow: rules: - if: $CI_COMMIT_TITLE =~ /-draft$/ when: never - if: $CI_PIPELINE_SOURCE == "merge_request_event" - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH In this example, the pipeline: Won't be triggered if the commit title contains "draft." Will be triggered if the pipeline source is a merge request event. Will be triggered if changes are made to the default branch of the repository. Default Values: Defined in the default directive. Options with these values will be used in all jobs but can be overridden at the job level. default: image: centos:7 tags: - ci-test In this example, we've defined an image (e.g., a Docker image) and tags (which may be required for some runners). Import Configuration from Another YAML File: This can be useful for creating a shared part of a script that you want to apply to all pipelines or for breaking down a complex script into manageable parts. It is done using the include option and has different ways to load files. Let's explore them in more detail. a) Local File Inclusion (local): include: - local: .gitlab/ci/build.yml b) Template Collections (template): include: - template: Custom/.gitlab-ci.yml In this example, we include the contents of the Custom/.gitlab-ci.yml file in our script. c) External File Available via HTTP (remote): include: - remote: 'https://gitlab.dmosk.ru/main/build.yml' d) Another Project: include: - project: 'public-project' ref: main file: 'build.yml' !reference tags: Allows you to describe a script and reuse it for different stages and tasks in your CI/CD. For example: .apt-cache: script: - apt update after_script: - apt clean all install: stage: install script: - !reference [.apt-cache, script] - apt install nginx update: stage: update script: - !reference [.apt-cache, script] - apt upgrade - !reference [.apt-cache, after_script] Let's break down what's happening in our example: We created a task called apt-cache. The dot at the beginning of the name tells the system not to start this task automatically when the pipeline is run. The created task consists of two sections: script and after_script. There can be more sections. We execute the install stage. In one of the execution lines, we call apt-cache (only the commands from the script section). In the update stage, we call apt-cache twice—the first executes commands from the script section, and the second executes those from the after_script section. These are the fundamental concepts and options of GitLab CI/CD pipelines. You can use these directives and templates as a starting point for configuring your CI/CD pipelines efficiently. For more advanced use cases and additional options, refer to the official GitLab CI/CD documentation.

In recent times, there has been a growing urgency regarding the security concerns of the developed software. Integrating secure development practices into the current processes has become imperative. This is where DevSecOps comes into play—a powerful methodology that seamlessly integrates security practices into the software development process. In this article, we will explore the world of DevSecOps tools and how they play a pivotal role in enhancing software security, enabling organizations to stay one step ahead of potential threats. [lwptoc] Understanding DevSecOps Tools DevSecOps tools are software applications and utilities designed to integrate security practices into the DevOps (Development and Operations) workflow. These tools aim to automate security checks, improve code quality, and ensure that security measures are an integral part of the software development process. Some popular DevSecOps tools include: Continuous Integration (CI) tools for security testing Continuous Integration (CI) tools play a vital role in automating security testing throughout the development pipeline. They enable developers to regularly test code changes for vulnerabilities and weaknesses, ensuring that security is integrated into every stage of development. Continuous Deployment (CD) tools for secure deployment Continuous Deployment (CD) tools facilitate the secure and automated release of software into production environments. By leveraging CD tools, organizations can ensure that security measures are applied consistently during the deployment process. ? Read more: Exploring the Best CI/CD Tools for Streamlined Software Delivery Security Information and Event Management (SIEM) tools for monitoring and incident response SIEM tools help organizations monitor and analyze security events across their infrastructure. By providing real-time insights and automated incident response capabilities, SIEM tools empower teams to swiftly detect and respond to potential security breaches. Here is a list of SIEM (Security Information and Event Management) tools: Splunk, IBM QRadar, ArcSight (now part of Micro Focus), LogRhythm, Sumo Logic, AlienVault (now part of AT&T Cybersecurity), SolarWinds Security Event Manager, Graylog, McAfee Enterprise Security Manager (ESM), Rapid7 InsightIDR. Static Application Security Testing (SAST) tools for code analysis SAST tools analyze the source code of applications to identify security flaws, vulnerabilities, and compliance issues. Integrating SAST into the development workflow allows developers to proactively address security concerns during the coding phase. Some examples of Static Application Security Testing (SAST) tools: Fortify Static Code Analyzer, Checkmarx, Veracode Static Analysis, SonarQube, WhiteSource Bolt, Synopsys Coverity, Kiuwan, WebInspect, AppScan Source, Codacy Key Features of SAST Solutions: Code Analysis: SAST solutions perform in-depth code analysis to identify security issues, such as SQL injection, cross-site scripting (XSS), and buffer overflows. Early Detection: By integrating SAST into the development workflow, security issues can be identified and addressed during the coding phase, reducing the cost and effort required to fix vulnerabilities later in the development cycle. Continuous Scanning: SAST solutions can be configured for continuous scanning, allowing developers to receive real-time feedback on security issues as code changes are made. Integration with CI/CD Pipelines: SAST tools seamlessly integrate with Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring security testing is an integral part of the software development process. Compliance Checks: SAST solutions can help organizations adhere to industry-specific and regulatory security standards by identifying code that may violate compliance requirements. False Positive Reduction: Modern SAST solutions employ advanced algorithms and heuristics to reduce false positives, providing developers with more accurate and actionable results. Language Support: SAST solutions support a wide range of programming languages, enabling organizations to secure diverse application portfolios. Remediation Guidance: SAST tools often provide guidance on how to remediate identified vulnerabilities, helping developers address security issues effectively. Dynamic Application Security Testing (DAST) tools for web application scanning DAST tools perform dynamic scans of web applications in real-time, simulating attacks to identify potential vulnerabilities. By testing applications from the outside, DAST tools offer a comprehensive view of security risks. Here is a list of Dynamic Application Security Testing (DAST) tools: OWASP ZAP (Zed Attack Proxy), Burp Suite, Acunetix, Netsparker, WebInspect, Qualys Web Application Scanning (WAS), AppScan Standard, Trustwave App Scanner (formerly Cenzic Hailstorm), Rapid7 AppSpider, Tenable.io Web Application Scanning. Key Features of DAST Solutions: Web Application Scanning: DAST tools focus on web applications and assess their security from an external perspective by sending crafted requests and analyzing responses. Real-World Simulation: DAST solutions mimic actual attack scenarios, including SQL injection, cross-site scripting (XSS), and other common security threats, to identify vulnerabilities. Comprehensive Coverage: DAST solutions analyze the entire application, including dynamic content generated by the server, to detect security issues across different pages and functionalities. Automation and Scalability: DAST tools can be automated to perform regular and extensive scans, making them suitable for large-scale web applications and continuous testing. Out-of-Band Testing: DAST solutions can identify vulnerabilities not discoverable through traditional scanning, such as those found in non-standard HTTP methods or custom headers. Reduced False Positives: Modern DAST tools employ advanced techniques to minimize false positives, providing developers with accurate and reliable security findings. Integration with CI/CD Pipelines: DAST solutions can be seamlessly integrated into CI/CD pipelines, allowing security testing to be an integral part of the software development process. Compliance Support: DAST tools help organizations meet industry standards and regulatory requirements by detecting security weaknesses that may lead to compliance violations. Continuous Monitoring: Some DAST solutions offer continuous monitoring capabilities, enabling developers to receive real-time feedback on security issues as the application changes. Interactive Application Security Testing (IAST) tools for real-time code analysis IAST tools provide real-time security analysis by observing application execution. By combining dynamic and static analysis, IAST tools offer deeper insights into application security while minimizing false positives. Here is a list of IAST (Interactive Application Security Testing) tools: Contrast Security, Hdiv Security, RIPS Technologies, Seeker by Synopsys, Waratek AppSecurity for Java, Quotium Seeker, ShiftLeft, WhiteHat Security Sentinel IAST, AppSecTest by Pradeo, IriusRisk IAST. Key Features of IAST Solutions: Real-Time Analysis: IAST tools continuously monitor applications in real-time as they execute, capturing data on code behavior and interactions with the system to detect security flaws. Code-Level Visibility: IAST solutions provide detailed information about vulnerabilities, including the exact line of code responsible for the issue, helping developers pinpoint and fix problems with greater accuracy. Low False Positives: IAST reduces false positives by directly observing application behavior, resulting in more precise identification of true security vulnerabilities. Minimal Performance Impact: IAST operates with low overhead, ensuring that security testing does not significantly impact the application's performance during runtime. Comprehensive Security Coverage: By analyzing code execution paths, IAST solutions identify a wide range of vulnerabilities, including those arising from data flow, configuration, and authentication. Seamless Integration: IAST tools easily integrate into existing development and testing environments, supporting various programming languages and frameworks. Continuous Security Monitoring: IAST solutions enable continuous monitoring of applications, offering ongoing security assessment throughout the development lifecycle. DevSecOps Collaboration: IAST fosters collaboration between development, security, and operations teams by providing real-time insights accessible to all stakeholders. Remediation Guidance: IAST solutions not only identify vulnerabilities but also offer actionable remediation guidance, streamlining the process of fixing security issues. Compliance Support: IAST assists organizations in meeting regulatory requirements by providing accurate and detailed security assessments. Runtime Application Self-Protection (RASP) tools for runtime security RASP tools operate within the application runtime environment, actively monitoring for malicious behavior and automatically blocking potential threats. These tools provide an additional layer of protection to complement other security measures. Here is a list of RASP (Runtime Application Self-Protection) tools: Sqreen, Contrast Security, Waratek AppSecurity for Java, StackRox, Veeam PN (Powered Network), Guardicore, Aqua Security, Datadog Security Monitoring, Wallarm, Arxan Application Protection. Key Features of RASP Solutions: Real-Time Protection: RASP tools actively monitor application behavior during runtime, detecting and blocking security threats as they occur in real-time. Immediate Response: By residing within the application, RASP can take immediate action against threats without relying on external systems, ensuring faster response times. Application-Centric Approach: RASP solutions focus on protecting the application itself, making them independent of external security configurations. Automatic Policy Enforcement: RASP automatically enforces security policies based on the application's behavior, mitigating vulnerabilities and enforcing compliance. Precise Attack Detection: RASP can identify and differentiate between legitimate application behavior and malicious activities, reducing false positives. Low Performance Overhead: RASP operates with minimal impact on application performance, ensuring efficient security without compromising user experience. Runtime Visibility: RASP solutions provide real-time insights into application security events, helping developers and security teams understand attack patterns and trends. Adaptive Defense: RASP can dynamically adjust its protection strategies based on the evolving threat landscape, adapting to new attack vectors and tactics. Application-Aware Security: RASP understands the unique context of the application, allowing it to tailor security responses to specific application vulnerabilities. Continuous Protection: RASP continuously monitors the application, offering ongoing security coverage that extends throughout the application's lifecycle. DevSecOps Integration: RASP seamlessly integrates into DevSecOps workflows, empowering developers with real-time security feedback and enabling collaboration between teams. Compliance Support: RASP helps organizations meet regulatory requirements by providing active protection against security threats and potential data breaches. DevSecOps Tools Table CategoryDevSecOps ToolCI/CDJenkins, GitLab CI, Travis CI, CircleCISASTSonarQube, Veracode, Checkmarx, FortifyDASTOWASP Zap, Burp Suite, Acunetix, NetsparkerIASTContrast Security, RASPberryRASPSqreen, AppTrana, GuardicoreSIEMSplunk, IBM QRadar, ArcSight, LogRhythmContainer SecurityAqua Security, Sysdig, TwistlockSecurity OrchestrationDemisto, Phantom, ResilientAPI SecurityPostman, Swagger InspectorChaos EngineeringGremlin, Chaos Monkey, PumbaPolicy-as-a-CodeOpen Policy Agent (OPA), Rego, KyvernoThis table provides a selection of DevSecOps tools across different categories. Empower your team with DevOps excellence! Streamline workflows, boost productivity, and fortify security. Let's shape the future of your software development together – inquire about our DevOps Consulting Services.

In this blog post, we delve into the world of CI/CD tools, uncovering the game-changing potential of these tools in accelerating your software delivery process. [lwptoc] Discover the top CI/CD tools and learn from real-life case studies where Gart, a trusted industry leader, has successfully implemented CI/CD pipelines and infrastructure for e-health and entertainment software platforms. Get inspired by their achievements and gain practical insights into optimizing your development process. CI/CD Tools Table CI/CD ToolDescriptionLanguage SupportIntegrationDeploymentJenkinsOpen-source automation serverExtensive support for multiple languagesWide range of plugins availableFlexible deployment optionsGitLab CI/CDIntegrated CI/CD solution within GitLabWide language supportSeamless integration with GitLab repositoriesFlexible deployment optionsCircleCICloud-based CI/CD platformSupport for various languages and frameworksIntegrates with popular version control systemsSupports deployment to multiple environmentsTravis CICloud-based CI/CD service for GitHub projectsWide language supportTight integration with GitHubEasy deployment to platforms like Heroku and AWSAzure DevOps (Azure Pipelines)Comprehensive development tools by MicrosoftExtensive language supportIntegrates with Azure servicesDeployment to Azure cloud and on-premisesTeamCityCI/CD server developed by JetBrainsSupports various build and test runnersIntegrates with JetBrains IDEs and external toolsSupports flexible deployment strategiesA comparison table for some popular CI/CD tools Case Studies: Achieving Success with Gart CI/CD Pipelines and Infrastructure for E-Health Platform Gart collaborated with an e-health platform to revolutionize their software delivery process. By implementing robust CI/CD pipelines and optimizing the underlying infrastructure, Gart helped the platform achieve faster releases, improved quality, and enhanced scalability. AWS Cost Optimization and CI/CD Automation for Entertainment Software Platform Another notable case study involves Gart's partnership with an entertainment software platform, where they tackled the dual challenges of AWS cost optimization and CI/CD automation. Gart's expertise resulted in significant cost savings by optimizing AWS resources, while simultaneously streamlining the software delivery process through efficient CI/CD pipelines. Learn more about this successful collaboration here. These case studies highlight Gart's prowess in tailoring CI/CD solutions to diverse industries and our ability to drive tangible benefits for their clients. By leveraging Gart's expertise, you can witness firsthand how CI/CD implementation can bring about remarkable transformations in software delivery processes. Looking for CI/CD solutions? Contact Gart for comprehensive expertise in streamlining your software delivery process. The Ultimate CI/CD Tools List CI/CD (Continuous Integration/Continuous Deployment) tools are software solutions that help automate the process of building, testing, and deploying software applications. These tools enable development teams to streamline their workflows and deliver software updates more efficiently. Here are some popular CI/CD tools: Jenkins Jenkins is an open-source automation server that is widely used for CI/CD. It offers a vast array of plugins and integrations, allowing teams to build, test, and deploy applications across various platforms. GitLab CI/CD GitLab provides an integrated CI/CD solution within its platform. It enables teams to define pipelines using a YAML configuration file and offers features such as automatic testing, code quality checks, and deployment to various environments. CircleCI CircleCI is a cloud-based CI/CD platform that supports continuous integration and delivery. It provides a simple and intuitive interface for configuring pipelines and offers extensive support for a wide range of programming languages and frameworks. Travis CI Travis CI is a cloud-based CI/CD service primarily designed for projects hosted on GitHub. It offers a straightforward setup process and provides a range of features for building, testing, and deploying applications. Azure DevOps Azure DevOps is a comprehensive set of development tools provided by Microsoft. It includes Azure Pipelines, which allows teams to define and manage CI/CD pipelines for their applications. Azure Pipelines supports both cloud and on-premises deployments. ? Read more: CI/CD Pipelines and Infrastructure for E-Health Platform Bamboo Bamboo is a CI/CD server developed by Atlassian. It integrates well with other Atlassian products like Jira and Bitbucket. Bamboo offers features such as parallel builds, customizable workflows, and easy integration with external tools. TeamCity TeamCity is a CI/CD server developed by JetBrains. It supports a variety of build and test runners and offers a user-friendly interface for managing pipelines. TeamCity also provides advanced features like code coverage analysis and build chain visualization. GoCD GoCD is an open-source CI/CD tool that provides advanced workflow modeling capabilities. It enables teams to define complex pipelines and manage dependencies between different stages of the software delivery process. Buddy Buddy is a CI/CD platform that offers a free plan for small projects. It provides a user-friendly interface and supports a wide range of programming languages, making it suitable for developers of all levels. Drone Drone is an open-source CI/CD platform that is highly flexible and scalable. It allows you to define your pipelines using a simple YAML configuration file and integrates with popular version control systems. Strider Strider is an open-source, customizable CI/CD platform that supports self-hosting. It offers features like parallel testing, deployment, and notification plugins to enhance your software delivery process. Semaphore Semaphore is a cloud-based CI/CD platform that provides a free tier for small projects. It supports popular programming languages and offers a simple and intuitive interface for configuring and managing your pipelines. Concourse CI Concourse CI is an open-source CI/CD system that focuses on simplicity and scalability. It provides a declarative pipeline configuration and supports powerful automation capabilities. Codeship Codeship is a cloud-based CI/CD platform that offers a free tier for small projects. It provides a simple and intuitive interface, supports various programming languages, and integrates with popular version control systems. Ready to supercharge your software delivery? Contact Gart today and leverage our expertise in CI/CD to optimize your development process. Boost efficiency, streamline deployments, and stay ahead of the competition. Bitbucket Pipelines Bitbucket Pipelines is a CI/CD solution tightly integrated with Atlassian's Bitbucket. It enables you to define and execute pipelines directly from your Bitbucket repositories, offering seamless integration and easy configuration. Wercker Wercker is a cloud-based CI/CD platform that offers container-centric workflows. It provides seamless integration with popular container platforms like Docker and Kubernetes, enabling you to build, test, and deploy containerized applications efficiently. Nevercode Nevercode is a mobile-focused CI/CD platform that specializes in automating the build, testing, and deployment of mobile applications. It supports both iOS and Android development and provides a range of mobile-specific features and integrations. Spinnaker Spinnaker is an open-source multi-cloud CD platform that focuses on deployment orchestration. It enables you to deploy applications to multiple cloud providers with built-in support for canary deployments, rolling updates, and more. Buildbot Buildbot is an open-source CI/CD framework that allows you to automate build, test, and release processes. It provides a highly customizable and extensible architecture, making it suitable for complex CI/CD workflows. Harness Harness is a CI/CD platform that emphasizes continuous delivery and feature flagging. It offers advanced deployment strategies, observability, and monitoring capabilities to ensure smooth and reliable software releases. IBM UrbanCode IBM UrbanCode is an enterprise-grade CI/CD platform that provides end-to-end automation and release management. It offers features like environment management, deployment automation, and release coordination for complex enterprise applications. Perforce Helix Perforce Helix is a CI/CD and version control platform that supports large-scale development and collaboration. It provides a range of tools for source control, build automation, and release management. Bitrise Bitrise is a CI/CD platform designed specifically for mobile app development. It offers an extensive library of integrations, enabling you to automate workflows for building, testing, and deploying iOS and Android apps. Codefresh Codefresh is a cloud-native CI/CD platform built for Docker and Kubernetes workflows. It offers a visual pipeline editor, seamless integration with container registries, and advanced deployment features for modern application development. CruiseControl CruiseControl is an open-source CI tool that focuses on continuous integration. It provides a framework for automating builds, tests, and releases, and supports various build tools and version control systems. These are just a few examples of popular CI/CD tools available in the market. The choice of tool depends on various factors such as project requirements, team preferences, and integration capabilities with other tools in your software development stack. Exploring the Power of AWS CI/CD Tools AWS (Amazon Web Services) offers a range of CI/CD tools and services to streamline software delivery. Here are some popular AWS CI/CD tools: AWS CodePipeline: CodePipeline is a fully managed CI/CD service that enables you to automate your software release process. It integrates with other AWS services, such as CodeCommit, CodeBuild, and CodeDeploy, to build, test, and deploy your applications. AWS CodeBuild: CodeBuild is a fully managed build service that compiles your source code, runs tests, and produces software packages. It supports various programming languages and build environments and integrates with CodePipeline for automated builds. AWS CodeDeploy: CodeDeploy automates the deployment of applications to instances, containers, or serverless environments. It provides capabilities for blue/green deployments, automatic rollback, and integration with CodePipeline for streamlined deployments. AWS CodeCommit: CodeCommit is a fully managed source control service that hosts Git repositories. It provides secure and scalable version control for your code and integrates seamlessly with other AWS CI/CD tools. AWS CodeStar: CodeStar is a fully integrated development environment (IDE) for developing, building, and deploying applications on AWS. It combines various AWS services, including CodePipeline, CodeBuild, and CodeDeploy, to provide an end-to-end CI/CD experience. These AWS CI/CD tools offer powerful capabilities to automate and streamline your software delivery process on the AWS platform. Each tool can be used independently or combined to create a comprehensive CI/CD pipeline tailored to your application requirements. Conclusion CI/CD tools have become indispensable in modern software development, enabling teams to streamline their delivery process, improve efficiency, and achieve faster time to market. Throughout this article, we have explored a wide range of CI/CD tools, both free and enterprise-grade, each offering unique features and capabilities. From popular options like Jenkins, GitLab CI/CD, and CircleCI to specialized tools for mobile app development and container-centric workflows, there is a tool to fit every project's requirements. Now is the time to embark on your CI/CD journey and leverage the power of these tools. Evaluate your project requirements, explore the tools discussed in this article, and consider partnering with experts like Gart to guide you through the implementation process. Embrace the CI/CD revolution and unlock the full potential of your software development process. Unlock agility in development! Our DevOps Consulting Services ensure faster releases, robust security, and efficient collaboration. Ready to elevate your software game? Connect with us now