How to automate capture and analysis of CI CD metrics using AWS DevOps Monitoring Dashboard solution AWS Cloud Operations & Migrations Blog

In practice, a developer will often discover boundary conflicts between new and existing code at the time of integration. If it’s done early and often, the expectation is that resolving these conflicts will be easier and less costly to perform. Continuous integration (CI) focuses on blending the software work products of individual developers together into a repository.

  • Threat modeling will equip you to make informed decisions and ensure your security measures align with the needs and context of the system or application.
  • One of the largest challenges faced by development teams using a CI/CD pipeline is adequately addressing security.
  • When making these significant decisions, make sure you understand and document the trade-offs you are making.
  • Running regular integration testing is crucial to maintaining software consistency.
  • What’s critical in CD is that it will always deploy the same artifact in all environments.
  • It’s a very competitive labor market and DevOps talent can be very hard to impress.

The increased speed of DevOps helps an organization serve its customers more successfully and be more competitive in the market. In a DevOps environment, successful organizations “bake security in” to all phases of the development life cycle, a practice called DevSecOps. Static application security testing (SAST) is another important security practice in CI/CD.

The CI/CD Pipeline

The last segment in the pipeline will deploy the build to a production-equivalent environment. This is a comprehensive activity, since the build, the deployment, and the environment are all exercised and tested together. The result is a build that is confidently deployable and verifiable in an actual production environment. The development of the cloud brought huge changes and introduced a fresh way of hosting and delivering software. CI/CD pipelines especially benefit from elements of cloud technology like containers and infrastructure-as-code.

ci cd monitoring

A human—your operations, security, or compliance team—still needs to manually sign off before final release, adding more delays. On the other hand, continuous deployment automates the entire release process. Code changes are deployed to customers as soon as they pass all the required tests.

Building your CI/CD toolkit

Without proper validation mechanisms, attackers can manipulate or replace artifacts, leading to the deployment of compromised or malicious software. Understanding the threats that can exploit vulnerabilities — from insufficient flow control mechanisms to improper artifact integrity — informs the development of robust strategies to mitigate them. By preparing for the OWASP Top 10 CI/CD security risks, you can enhance your pipeline’s security posture.

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. However, the responsibility for ensuring new applications and services are monitored properly should be delegated to developers. In fact, products should not be considered  feature complete or ”production ready” without making sure they are observable and monitorable.

What Is CI/CD Security?

CI/CD is considered a joint transformation for the business, so simply having IT run the process isn’t enough to create change. In this first phase, developers merge their code changes with primary code repositories for their projects. Our experts can help your organization develop the practices, tools, and culture needed to more efficiently modernize existing applications and to build new ones.

ci cd monitoring

Cloudbees even offers several different Jenkins training programs and product add-ons. Everything you need to know about CI/CD monitoring ci cd monitoring and observability is in our previous article. In the waterfall approach, the final product is passed to the tester for checking.


When practicing continuous integration, developers frequently integrate their code into a main branch of a common repository. Rather than building features in isolation and submitting each of them at the end of the cycle, a developer is able to contribute software work products to the repository several times on any given day. Despite their apparent similarities, monitoring and observability complement each other rather than merely duplicating results. Monitoring entails collecting, processing, aggregating, and displaying real-time quantitative data about the system to keep track of its condition and alert users about eventual problems. Observability, in a nutshell, provides a glimpse into the system’s internal workings by knowing its external outputs.

ci cd monitoring

Consequently, if you encounter a slow or unsuccessful build and require insight into the cause, you can examine a flame graph representation of the build for jobs with lengthy execution times or high error rates. Common code validation processes start with a static code analysis that verifies the quality of the code. Once the code passes the static tests, automated CI routines package and compile the code for further automated testing. CI processes should have a version control system that tracks changes so you know the version of the code used. CI/CD tasks would normally be triggered whenever changes are introduced in code, but unnecessary processes will slow down progress and strain resources like CPUs and developer hours.

DevOps Metrics for Optimizing CI/CD Pipelines

This is particularly significant for businesses that need to continuously update their software to remain competitive and meet evolving user needs. Software development teams need solid, tested processes for CI/CD, as well as testing solutions that meet the needs of the codebase. Also, teams need automation to deploy solutions so that they can eliminate the need for time-consuming manual deployment. Continuous integration (CI) is the process of automating and integrating code changes and updates from many team members during software development. In CI, automated tools confirm that software code is valid and error-free before it’s integrated, which helps detect bugs and speed up new releases.

ci cd monitoring

If it takes days to move a build through the CI/CD pipeline time to value is not being realized and the process should be fine-tuned. Continuous delivery is a software development practice that works in conjunction with CI to automate the infrastructure provisioning and application release process. A well-built and feature-rich application isn’t worth much if end users don’t use it. It also allows teams to make constant improvements, such as changes to the user experience and the addition of in-app guides, to encourage users to use the application and its features. While each CI/CD implementation will be different, following some of these basic principles will help you avoid some common pitfalls and strengthen your testing and development practices. As with most aspects of continuous integration, a mixture of process, tooling, and habit will help make development changes more successful and impactful.


Self-paced, Cyber Threat Intelligence takes approximately 25 hours to complete and includes 14 quizzes and six assessments. Once complete, students will receive a shareable certificate for their LinkedIn profiles and the Cyber Threat Intelligence IBM digital badge. One of the most important types of testing needed in order to maintain software quality and avoid accruing technical debt is automated regression testing. To see how mabl’s test automation can integrate into your CI/CD pipeline, start your FREE TRIAL today. A test automation framework presents numerous important questions and daunting challenges. Before setting one up, pin down the most crucial requirements your testing framework will need to meet.

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