![]() The time of weird bugs causing data corruption may be past, but one more layer in your tech stack can lead to unnecessary gotchas Docker WILL destroy everything it touches. Running databases with valuable data in Docker has been known to cause trouble in the olden days (2016).ĭocker WILL crash. To stick around and be safe no matter what, you don’t want unnecessary risks. They take effort to operate,Īnd even more effort to do so reliably. The less unknowns are in your stack, the easier it’ll be for you to maintain things and react to incidents.ĭatabases are critical services. The rule of thumb here is: how can you reduce complexity? In general, I’d say don’t use Docker for production databases. Okay, but what about responsible production environments? Is it a good idea to run your important You have to tune it and make sure that the assumptions whichĪre required actually are respected by the application. This means your cluster should provide a way to create PersistentVolumes, which can be accessed from all nodes.īut even then, you can’t just put any stateful app into a StatefulSet and beĭone with it. You’d need to make use of StatefulSets and PersistentVolumeClaims. If you’re using Kubernetes and your database runs in a ReplicaSet or ReplicationController, that’s a serious problem. Time without communicating with each other and nobody will really notice if a newĬontainer will take over on a different machine.ĭatabases! They need their data to be available and being interrupted Such applications don’t mind being terminated at any time, any number can run at the same Orchestration tools are designed to handle DockerĬontainers running stateless applications. You should not run stateful applications in orchestration tools which Here’s a pretty bad anti-pattern, which can cause you a lot of trouble,Įven if you’re just working on a small project. Pitfall: Scheduling Across Multiple Machines Recommendation with a grain of salt, and take a look further below. If you have a production system which people depend on, please take this ![]() In the worst case - you restore a backup and are back in the game. It’s convenient, and perfectly fine for small projects handling non-crucial data. Using docker-compose.yaml files to bring up their complete stack. Try to restore them every once in a while to make sure your backups are any good.Ī lot of people are running their small projects using Docker containers, or It’s completely okay to run your database in a Docker container.īe sure to mount a volume to make the data persistent, and have backup processes If you’re working on a small project, and are deploying to a single machine, The only downside could be, that the team is not yet familiar with the toolchain, and needs to invest some research and adjustment time into it. Power of my tools, and have it interact with databases which live ![]() This way, I can run a dev server locally, using the complete Personally, my favourite way to develop right now, is to have backing servicesīe defined in a docker-compose.yaml file for each project and bind to local Everything is “documented” through automation and reproducible.You can create a development environment on any OS in a reliable fashion.You can work on multiple projects side by side, which depend on slightly different database versions.There’s less clutter on your development machine. ![]() Let’s look at a few upsides of using containers in this setting: In case anything goes wrong, you simply recreate your environment from scratch. If you’re doing so in your development environment, there’s nothing to be concerned about. What guarantees do you need? What risks are you willing to take? What upsides do you need, and what tradeoffs are you willing to take? Docker For Development Environment Databases Production means different things to different people.ĭecisions get easier if you know what it means for ![]() In the end, it all depends on your needs. Using Docker becomes a less easy choice when it comes to more critical environments. After all, what’s the worst that can happen, apart from having to go back to your usual setup? You wouldn’t think twice about using (or trying) Docker in a local development environment. Before Diving Deeper - Do You Know What You Really Need? Let’s dig into this question, see what factors should influence yourĭecision and whether you could do better or should start worrying. What problems can be caused by running PostgreSQL in a container? Should you be worried even if you don’t have a lot of traffic? Is it a general thing, and if so, why are so many apps setting up databases in their docker-compose files? Someone mentioned not running databases in containers, but I don’t understand why it would be bad… ![]()
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