Continuous monitoring and observability in CI CD

Tekton is a community-driven project hosted by the Continuous Delivery Foundation (CDF). Tekton’s standardized approach to CI/CD tooling and processes is applicable across multiple vendors, programming languages, and deployment environments. Continuous Integration (CI) refers to the process of merging software builds on a continuous basis. The development teams divide the large-scale project into small coding tasks and deliver the code updates iteratively, on an ongoing basis. The builds are pushed to a centralized repository where further automation, QA, and analysis takes place.

  • These metrics are later used to investigate historical data and analyze it.
  • Instead, it’s important to keep several factors in mind as you plan a synthetic monitoring strategy.
  • In the testing phase, it’s essential to focus on a continuous, consistent, faster feedback testing loop.
  • Next there is automatic instrumentation and monitoring of application components (OpenTracing and OpenCensus, merged to form OpenTelemetry).
  • OpenShift Pipelines is designed to run each step of the CI/CD pipeline in its own container, allowing each step to scale independently to meet the demands of the pipeline.
  • Splunk is a popular enterprise-ready monitoring and analytics platform that provides deep visibility into applications and infrastructure components’ performance.

If you spot a slow or failing
build and need to understand what’s happening, you can drill into the trace view of the build to look
for the high duration jobs or jobs with errors. The Service page provides more granular insights into your CI/CD workflows by breaking down health
and performance metrics by pipeline. To quickly view which pipelines experience the most errors, are the
most frequently executed, or are the slowest, you can sort and filter the list. Once you add these annotations, Prometheus should auto-discover these services and metrics will start showing up.


Datadog was named Leader in the 2022 Gartner Magic Quadrant for Application Performance Monitoring (APM) and Observability. Datadog CI visibility provides real-time visibility into your organization’s CI/CD workflows. 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. Specifically, CI/CD introduces ongoing automation and continuous monitoring throughout the lifecycle of apps, from integration and testing phases to delivery and deployment. Jenkins allows developers to automate various tasks in their software development lifecycle, such as building, testing, and deploying their code.

Understand the intended benefits, such as faster code building or lower error/rework rates, and then implement metrics to measure those criteria. Compare the metrics against pre-pipeline performance and track those metrics as the pipeline evolves. This makes it easier to see the pipeline’s value, spot problems over time, and invest in ways to build and enhance the CI/CD pipeline. While each technique offers slight differences, the common emphasis on continuous iteration has changed the nature and power of software development.

What is Splunk?

With CI, a developer practices integrating the code changes continuously with the rest of the team. The integration happens after a “git push,” usually to a master branch — more on this later. Then, in a dedicated server, an automated process builds the application and runs a set of tests to confirm that the newest code integrates with what’s currently in the master branch. To complete the deployment, you need to establish continuous monitoring and observability which will allow you to collect metrics and actionable insights.

ci cd pipeline monitoring

The suggestions align with best practices frequently provided by development and cybersecurity professionals, making them trustworthy and worth pursuing. Infrastructure as code is used today to manage environments but has not factored in testing requirements completely. Environments are created using infrastructure as code, containers are built that run on various pods, and pre-baked images are stored to be rolled out. In this section, let us learn how to build, integrate, and execute robust CI/CD pipelines. Now that we have a solid understanding of some of the key things let us learn how to set up CI/CD pipeline.

Check service health from deployment pipelinesedit

If you need help setting up these metrics feel free to reach out to myself through LinkedIn. These dashboards display the deployment frequency and state (success/failure) by application. These dashboards enable DevOps leaders to track the frequency and quality of their continuous software release to end users. With Splunk CI/CD pipeline monitoring, developers receive continuous feedback on the performance of the application at every stage of the development process.

Code metrics—Measuring code metrics like test coverage, cyclomatic complexity, and coding standards can provide valuable insight into code quality and potential issues. No two CI/CD pipelines are exactly alike, but many of the tools and processes used in a “traditional” CI/CD pipeline can be grouped into one of a few specific categories. Limiting access reduces the potential impact of a development team member falling for a phishing attack. Cybercriminals are increasingly believable as they use various tactics to convince victims to provide credentials.

Development velocity

If they match, the test is considered successful and the build moves on to the next test. If they do not match, the deviation is noted, and error information is sent back to the development team for investigation and remediation. Even the most wildly optimistic deployment candidates are rarely committed to production without reservation. Automation is particularly critical in the CI/CD test phase, where a build is subjected to an enormous array of tests and test cases to validate its operation. Human testing is typically too slow and subject to errors and oversights to ensure reliable or objective testing outcomes.

This posting does not necessarily represent Splunk’s position, strategies, or opinion. There is plenty of info on the dashboard for both the application health and ArgoCD health. A few important things to look at would be the total number of apps that are out of sync or in a degraded state. In this lesson, we will be hands-on and fully implement CI/CD pipelines that build in complexity using GitHub Actions. You must also measure non-technical stakeholders’ return on investment (ROI).

Change management in CI/CD

If the build completes successfully and passes initial test scans, it moves to the CI/CD testing phase. A development team may employ several editors or IDEs to support multiple languages for different projects. However, you can use the
OpenTelemetry Collector Span Metrics Processor
to derive pipeline execution traces into KPI metrics like throughput and the error rate
of pipelines. Pytest-otel is a pytest plugin for sending Python test
results as OpenTelemetry traces.

ci cd pipeline monitoring

Splunk can ingest data from a wide range of sources, including logs, metrics, and events generated by CI/CD pipeline tools and processes. This reduces the gaps between your development and operations teams, and that enables the DevOps culture. Azure Pipelines is a cloud-based continuous integration and continuous delivery (CI/CD) service provided by Microsoft Azure. It is used to build, test, and deploy code to multiple targets, such as cloud services, virtual machines, and on-premises servers. Datadog is a cloud-based observability, security, and performance monitoring service for cloud-scale applications.

Continuous delivery

It provides a flexible and powerful set of tools for developers to build, test, and deploy applications across cloud providers and on-premises systems. This approach allows developers to detect errors early in the development process and fix them quickly, resulting in higher-quality code and faster time-to-market. This is particularly significant for businesses that need to continuously update their software to remain competitive and meet evolving user needs.

Data collected with a monitoring solution may be directly presented with the use of a visualisation tool to key stakeholders, for example business units or application teams. In the long run, these data can be used to justify budget expenses, costs or new projects. 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. MetricFire can help you ensure that this backbone is monitoring properly and you have complete insight into the software delivery pipeline. MetricFire specializes in monitoring systems and you can use our product with minimal configuration to gain in-depth insight into your environments.

The Best CI/CD Pipeline Monitoring Tools

I’ll use Jenkins as the reference tool, as many know this popular open source project, and as in my company we’ve used it extensively. But even if you’re continuous integration monitoring using other tools, you’ll find much of that largely applicable. These dashboards display the number of code changes made by author and repository.