Meercode CI Monitoring GitHub Marketplace

Logging refers to the collection and storage of log data from the pipeline, including information about builds, deployments, and pipeline performance. This data can be used for troubleshooting and root cause analysis and can be stored in a centralized log management system, such as ELK or Splunk, for easy access and analysis. As you can see from the definitions, observability can be seen as a superset of monitoring. It provides not only high-level overviews of the health of your system, but also highly granular insights into its implicit failure modes. Additionally, an observable system furnishes ample context about its inner workings, unlocking the ability to uncover deeper, systemic issues. CloudBees CodeShip integrates with a variety of tools such as GitHub, Bitbucket, and Docker, allowing developers to seamlessly integrate it into their existing development workflows.

It also provides detailed analytics and reporting, allowing teams to identify and address issues quickly. Jenkin’s strengths include being open-source, easy to use, highly customizable, and having a large community for support. However, it requires additional plugins for certain features, limited built-in security features, and potential performance issues with large pipelines.

What is Splunk?

A new GraphQL API and updates to the New Relic CLI allow you to easily mark any kind of change (such as a deployment, config change, or business event) on top of observability data. Release managers know CI refers to the process where code is regularly built, tested, and merged into a shared repository. CD processes ensure that it takes minimal effort to deploy new code, automating much of the bug testing and handoff of deployment responsibilities between product teams, developers, and operations teams. To be a successful release manager, you’ll take charge of automating CI/CD practices and implementing ways to track changes and share deployment context across disparate teams.

ci monitoring

The Ansible OpenTelemetry plugin integration provides visibility into all your
Ansible playbooks. The plugin generates traces for each run and performance metrics to help
you understand which Ansible tasks or roles are run the most, how often they
fail, and how long they take to complete. Development teams need to continuously optimize their ever-changing CI/CD pipelines to improve
their reliability while chasing faster pipelines.


To complete the deployment, you need to establish continuous monitoring and observability which will allow you to collect metrics and actionable insights. In this blogpost you will learn about the principles of monitoring and observability, how they are related and how automation can streamline the entire deployment process. CI/CD operations issues may also make it difficult to test each release against a wide variety of configuration variables.

ci monitoring

GraCIe is an opinionated Grafana application plugin we are building to provide users with an easy way to understand their CI/CD systems. It’s ideal for evaluating build performance, identifying inconsistencies in test results, and analyzing builds output. The application simplifies these processes, aiming to deliver insights about pipelines effortlessly.