![]() The key benefit of Docker is that it allows users to package an application with all of its dependencies into a standardized unit (container). An image will have exactly the same software installed, whether we run it on a laptop or on a server. Docker makes it easy to package Linux software in self-contained images, where all software dependencies are bundled and deployed in a repeatable manner. The same Linux kernel and libraries can be shared between multiple containers running on the host. Unlike virtual machines though, containers do not require an entire operating system, all required ibraries and the actual application binaries. Think about a container as a “lightweight virtual machine”. We are going to use the term ‘Docker’ as the container platform throughout the blog series. In our first blog post, we are going to cover some basics around running MySQL in a container. We will touch upon swarms, shared volumes, data-only-containers, security and configuration management, multi-host networking, service discovery and implications on monitoring when we move from host-centric to role-centric services with shorter life cycles. ![]() So, welcome to our new blog series – “MySQL on Docker”. ![]() running on virtual machines or bare-metal servers? How do we manage replicated or clustered setups, where multiple containers need to be created, upgraded and made highly available? How do we best configure MySQL in a container environment? What can go wrong? Should we even run our databases in a container environment? How does performance compare with e.g. But for a stateful service like a database, this might be bit of a headache. Docker is quickly becoming mainstream, as a method to package and deploy self-sufficient applications in primarily stateless Linux containers.
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