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CI CD

The latest News and Information on Continuous Integration and Development, and related technologies.

Scaling CI/CD pipelines in Bitbucket Cloud | The Developer's Edge | Atlassian

Accelerate delivery by sharing CI/CD pipelines across repositories in Bitbucket cloud. This feature allows developers across your team to reuse pipeline scripts without having to copy/paste or rewrite them. Developers can focus on building features while release managers can rest assured that pipeline best practices are followed and code is compliant with their policies. Connect with Atlassian.

Best practices for monitoring software testing in CI/CD

A key challenge of monitoring your CI/CD system is understanding how to optimize your workflows and create best practices that help you minimize pipeline slowdowns and better respond to CI issues. In addition to monitoring CI pipelines and their underlying infrastructure, your organization also needs to cultivate effective relationships between platform and development teams.

CI/CD observability: Extracting DORA metrics from a CD pipeline

Last November, Dimitris and Giordano Ricci wrote a blog post about CI/CD observability that looked into ways to extract traces and metrics in order to get a better understanding of possible issues inside a CI/CD system. That post focused on getting data from a continuous integration (CI) system, and it really resonated with the community.

E2E Testing on Github Actions: A walkthrough of our CI workflows | 2024 Guide

In this walkthrough, we take a detailed look at how automated E2E Testing is performed in Mattermost, using Cypress and Github Actions. Learn more about our approach to organizing and running the test cases, and our solutions to the challenges around their automation. Ready to streamline your testing process? Join us in mastering automated E2E Testing with Cypress and Github Actions.

From MLOps to LLMOps: The evolution of automation for AI-powered applications

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

Effective Monitoring and Alerting Strategies in DevOps

DevOps teams play a crucial role in ensuring the continuous delivery of software applications. One of the key pillars of DevOps success is implementing effective monitoring and alerting strategies. In this blog post, we will explore the importance of monitoring and alerting in DevOps, discuss best practices, and provide insights into building a robust monitoring ecosystem.

What is an IDE?

An IDE (integrated development environment) is software that combines all the functions needed for development in one place. Without an IDE, developers would need to use both a text editor to enter code and a separate compiler to make the program understandable to the computer. An IDE combines these features into one tool, making development more efficient.