Improving CI CD Pipelines through Observability

posted by: smartservices date: Apr 08, 2023 category: Software development comments: 0

These details allow you to correlate deployments with shifts in golden signals, log attributes, and other important metrics. To learn how to configure the plugin, see our documentation for tracking changes using Jenkins. AppDynamics offers a streamlined, unified perspective that allows you to confirm that your applications are operating as intended in test, pre-production, and production environments. As automation is one of the key ingredients of an efficient CI/CD pipeline, it makes perfect sense to automate monitoring and observability too. The idea of continuous monitoring and observability is a logical corollary of the CI/CD philosophy. They must be automated in the same way integration, testing, and deployment have been automated.

ci/cd pipeline monitoring

It provides a flexible and powerful set of tools for developers to build, test, and deploy applications across cloud providers and on-premises systems. With the CircleCI quickstart integration, you get visibility into the performance and health of your CircleCI jobs so you can monitor real-time CI performance, activity, and pipeline health—and identify opportunities for optimization. If you’re interested in a cloud-based platform, CircleCI can help build your development and delivery pipeline without requiring you to manage build infrastructure. With features that include shareable packages of code (called Orbs) for easy set-up, Docker support, and language-agnostic programming, CircleCI is a powerful and adaptable CI/CD platform. It’s common that new teams or projects start with slow and inefficient pipelines,
and improve their configuration over time through trial and error. A better process is
to use pipeline features that improve efficiency right away, and get a faster software
development lifecycle earlier.

Splunk Platform

Alternatively, you can also configure alerts in a Prometheus rules file and deliver them using Alertmanager. There is plenty of info on the dashboard for both the application health and ArgoCD health. Few important things to look at would be the total number of apps which are out of sync or in degraded state. CI is mainly a cultural shift, but some tools could help you to get the job done quickly. Observability of CI/CD pipelines should not be an afterthought; rather, it should be included in the pipeline design from the beginning.

  • Observability can help you balance uptime and reliability with the speed required to keep up with today’s software delivery velocity.
  • Once you’ve identified the pipeline you want to troubleshoot, you can drill down to get more detailed
    information about its performance over time.
  • It also provides a built-in visualization and exploration tool called Prometheus Web UI, which can be used to display pipeline metrics.
  • Integrating automated service health checks in deployment pipelines is critical for end-to-end deployment automation, which crucially enables deployment frequency to be increased.
  • In the “pre-DevOps era”, reactive monitoring was built and deployed by an operations team.

We currently have over 3,000 tests, and we often ship multiple times per day, so our pipeline must be fast and accurate. We knew that we needed to invest in additional observability tooling to monitor our CI/CD pipeline, track critical metrics, and debug problems. Development teams need to continuously optimize their ever-changing CI/CD pipelines to improve
their reliability while chasing faster pipelines.

Store Jenkins pipeline logs in Elasticedit

In fact, products should not be considered  feature complete or ”production ready” without making sure they are observable and monitorable. Another critical factor is that for a deployment to be smoother, each environment other than production needs to be similar to production. Homogeneous environments might be hard to achieve in big organizations, but the idea is to use the same tooling, process, and configurations in all the environments.

ci/cd pipeline monitoring

Build optimized Docker images because large Docker images use up a lot of space and
take a long time to download with slower connection speeds. Use multiple smaller images, each for a specific task,
that download and run faster. A job that takes a very long
time to complete keeps a pipeline from returning a failed status until the job completes. You can also test GitLab Runner auto-scaling
with cloud providers, and define offline times to reduce costs. Alternatively, you can use a monitoring tool that can execute scripts, like
check_gitlab for example.

Evaluate the features and usability

Since CI/CD is all about automation, it’s a fantastic place to incorporate different security layers. It’s a natural place to automate processes to remove the insecure human element and reduce the number of holes in the layers. First ensure you are familiar with GitLab CI/CD fundamentals
and understand the quick start guide. To deploy this project, simply sign up for a free Tinybird account, clone the repo, authenticate to your Workspace, and push the resources.

Datadog can help you detect issues early on in the development process, improve the quality of your code, and the reliability of your software delivery process, and ensure that your applications are performing optimally. Continuous integration (CI) and continuous delivery (CD) lead to constant change and innovation, which helps you build quickly but can open up your organization to greater reliability risks. Change tracking in your observability platform allows both development and business teams to share context around real-time deployments and fix problems faster. With this knowledge, you can improve CI/CD processes over time to decrease your deployment time and reduce the number of outages that occur.

Deployment agility

CI/CD tools are critical elements of implementing an efficient and reliable continuous integration/continuous delivery pipeline. Reducing the software development lifecycle, increasing the rate of deployments, and improving efficiency through collaboration are core tenets of the DevOps and agile methodologies that are supported by the use of CI/CD tools. Different types of system monitoring tools can help with various aspects of DevOps and CI/CD pipelines.

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