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Achieving High Availability in CI/CD With Observability

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures.

Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024. Since most application releases depend on cloud infrastructure, having good continuous integration and continuous delivery (CI/CD) pipelines and end-to-end observability becomes essential for ensuring highly available systems. By integrating observability tools in CI/CD pipelines, organizations can increase deployment frequency, minimize risks, and build highly available systems. Complementing these practices is site reliability engineering (SRE), a discipline ensuring system reliability, performance, and scalability.

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Automated Testing: The Missing Piece of Your CI/CD Puzzle

This is an article from DZone's 2023 Automated Testing Trend Report.

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DevOps and CI/CD pipelines help scale application delivery drastically — with some organizations reporting over 208 times more frequent code deployments. However, with such frequent deployments, the stability and reliability of the software releases often become a challenge. This is where automated testing comes into play. Automated testing acts as a cornerstone in supporting efficient CI/CD workflows. It helps organizations accelerate applications into production and optimize resource efficiency by following a fundamental growth principle: build fast, fail fast.

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How Do You Choose the Best Test Cases to Automate?

According to the 2021 Test automation report, more than 40% of companies are looking to expand and invest their resources in test automation. While this doesn’t mean manual testing is going away, there is an increased interest in automation from an ROI perspective - both in terms of money and time. 

After all, we can agree that writing and running those unit test cases is boring. A good automation strategy can free up the tester’s time to tackle some of the more complex problems and help with the early detection of bugs.