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The benefits of continuous delivery are well known these days: rapid feedback, speed of innovation, reduced fault recovery time, and increased confidence in release processes. Along the same lines, those who release less frequently are likely to encounter more stress. Continuous delivery is a spectrum; it doesn’t have to mean blasting every commit to all production environments at once. So, how do we strike a balance between speed and safety?

"There are only two hard things in Computer Science: cache invalidation and naming things."—Phil Karlton In the age of increasingly frequent deploys, edge caching, and Jamstack adoption, caching plays a key role across the software delivery life cycle. In build and CI pipelines, caching compiled assets or dependencies helps reduce compute costs, speed up job runtimes, and lower the environmental impact (regarding energy usage) of repeated builds.

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

How we cut CI cycle times and flaky builds in half, and maintenance downtime to zero.

We’re excited to announce the launch of parent/child pipelines for Bitbucket Pipelines. This powerful new capability lets you define a step within a pipeline that triggers and encapsulates a whole other pipeline, which can help to streamline more complex workflows into modular pieces and achieve greater parallelism within your pipeline.

Working in front-end development involves writing features and bug fixes in different branches. But how do you ensure that reviewers, testers, and other stakeholders find it easy to view changes? Using preview deployments is one solution. Preview deployments allow you to automatically create a live URL each time someone opens a pull request (PR). It’s like giving every branch its mini website so that changes can be tested and proven in isolation.

We are delighted to share the exciting news that JFrog has earned the “Deployed on AWS” badge in AWS Marketplace, marking yet another milestone in our journey of innovation and collaboration with Amazon Web Services (AWS). This achievement underscores our commitment to providing cutting-edge solutions that leverage AWS’s robust infrastructure to enhance the user experience and drive efficiency.

Downtime during deployments can affect the performance of your work. Data can be lost, and trust in your application can be destroyed. Luckily, zero downtime deployments do not need to be complex or involve a big infrastructure. This tutorial will teach you to establish a stable CI/CD pipeline with CircleCI and Render to automatically test and deploy a basic React application.