How to Automatically Update Running Docker Containers with Watchtower
Watchtower is an open-source tool that monitors your running Docker containers and automatically restarts them with updated base images — no manual intervention required.
Watchtower is an open-source tool that monitors your running Docker containers and automatically restarts them with updated base images — no manual intervention required.
Atlassian introduced key features in Bitbucket Server and Data Center 5.0 and Bamboo 6.0 to help large enterprises overcome DevOps barriers such as compliance requirements, geographic scale, and tool silos.
Continuous delivery is no longer optional for competitive software teams. These seven foundational principles help engineering organizations ship faster, safer, and with fewer bottlenecks.
Accessibility (AX) testing ensures applications are usable by people with disabilities. Learn how to integrate automated AX testing into your DevOps pipeline, which tools to use, and why shifting left on accessibility saves time and reduces compliance risk.
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An on-the-ground perspective from the Agile Alliance Technical Conference 2017 — covering the return to technical practices, the diffusion of Agile innovation, and what “post-Agile” really means for engineering teams.
Learn how to set up continuous integration and continuous delivery (CI/CD) pipelines for Xamarin mobile apps, covering source control, automated builds, testing, signing, and distribution to testers and end users.
Forrester and Gartner both named Salesforce, OutSystems, and Mendix as Leaders in enterprise low-code application development. Here is a detailed comparison of what each platform offers, along with analyst strengths and cautions.
Shared environments and slow provisioning are the hidden bottlenecks killing most DevOps pipelines. Learn how combining Docker containers, GitFlow, and CI/CD tooling can automate your build-and-deploy workflow and help you ship faster.
Test-Driven Development isn’t just a coding discipline — it’s a foundation for truly Agile, high-quality software delivery. Here are 13 concrete benefits TDD brings to your team and codebase.
Security is no longer a gate at the end of the delivery pipeline. Learn how DevOps thought leaders from Datadog, Threat Stack, AppDynamics, and PagerDuty see security becoming a first-class citizen in the DevOps operational model.
Speed is the hallmark of DevOps, but that focus can leave security teams struggling to keep up. Here’s why DevOps and SecOps need to work together—and how DevSecOps bridges the gap.
Machine learning is no longer a future concept for DevOps teams — it’s a practical tool for smarter alerting, root-cause analysis, and automated recommendations. Here are four concrete areas where ML algorithms add real value.
In continuous delivery, QA is not a gate at the end of the pipeline — it is a continuous process woven into every stage of development. Learn how to structure your QA strategy to keep pace with rapid deployments.
Security teams must embed controls directly into the DevOps pipeline to keep pace with cloud delivery speed. Learn how to integrate security into Jenkins, Chef, Puppet, Ansible, and credential management tools using a DevSecOps approach.
Digital enterprises run on data and application velocity. Learn how DevOps practices, CI/CD pipelines, and data virtualization are reshaping the relationship between development and operations teams.
Shifting security left in DevOps requires more than tooling—it demands cultural change, strong feedback loops, and continuous measurement. Here are five actionable strategies for moving toward DevSecOps.
Running a CI server does not automatically mean you are doing continuous integration correctly. Eberhard Wolff, author of A Practical Guide to Continuous Delivery, explains why automation, testing, and eliminating human intervention are the true foundations of effective DevOps.
Technical expertise alone won’t make a DevOps transformation succeed. Learn how soft skills—collaboration, communication, and trust—are just as critical as tooling when building or improving a DevOps team.
Cloud infrastructure reduces the combinatorial explosion of configuration parameters found in traditional data centers, but containers introduce a new layer of complexity that DevOps teams must manage carefully.