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How To Automatically Update Running Docker Containers

Docker Containers
Watchtower is a free, open source application that allows you to monitor the running Docker containers and updates them automatically if it finds any changes in their base images. When watchtower finds that a running container needs to be updated, it will gracefully stop the running container by sending it a SIGTERM signal. It will then download the new image, and finally restart the Container with the same options that were used when it was deployed initially. Everything will be done automatically on the background, so the user intervention is not required. In this guide, we will see how to automatically update running Docker containers using Watchtower in Unix-like operating systems.

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Reference:- This article was originally posted on BestDevOps.com

Comments

  1. Thanks for this clear and practical guide — automatically updating running services or applications without downtime is one of those challenges that can feel tricky if you haven’t done it before, and it’s great to see the steps and considerations laid out in a way that’s easy to follow. In real-world environments, being able to push updates safely and reliably makes a huge difference in how confidently teams can deliver features and fixes, because manual updates or blunt restarts often introduce risk and disrupt user experience. What I appreciate most about this post is that it emphasizes not just the mechanics but the reasoning behind strategies like rolling updates, service restarts with zero downtime, and using orchestration tools to manage state and traffic routing during updates — those practices are what help keep services resilient while they evolve. For anyone working with containers, virtual machines, or cloud platforms, learning how to automate updates while preserving uptime is a key skill that boosts both reliability and team velocity. Articles like this that break down concepts with actionable examples are really valuable, and I’ll be recommending this to colleagues who are just starting with automated deployment patterns!

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