![]() Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts: Redis as preferred in-memory database/store (great for caching).PostgreSQL as preferred database system.Amazon S3) for deploying in stage (production-like) and production environments SSLMate (using OpenSSL) for certificate management. ![]() nginx as web server (preferably used as facade server in production environment).Heroku for deploying in test environments.Kubernetes as cluster management for docker containers.VirtualBox for operating system simulation tests.Docker Compose for multi-container application management) Prettier / TSLint / ESLint as code linter.CircleCI for continuous integration (automatize development process).Respectively Git as revision control system.GitHub Pages/ Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool Our whole DevOps stack consists of the following tools: Net services on non-windows machines, C# had gained back some of its popularity (originally lost to Node.js), and other teams have been using it for developing microservices, k8s sidecars (like ), cli tools, serverless functions and other projects. Net core workloads in containers and developing Tweek's. Our production deployment ran for a time on Docker Swarm until we've decided to adopt Kubernetes with almost seamless migration process.Īfter our positive experience of running. Net core integration had great cross-platform developer experience (to be fair, F# was a bit trickier) - actually, each of our team members used a different OS (Ubuntu, macos, windows). Visual Studio Code worked really well for us as well, it worked well with all our polyglot services and the. We decided to implement our rule engine processor in F#, our main service was implemented in C# and other components were built using JavaScript / TypeScript and Go. We wanted to create a solution that is able to run anywhere (super important for OSS), has excellent performance characteristics and can fit in a multi-container architecture. NET core was when we developed our OSS feature management platform - Tweek ( ). The same tool we just used, mysql-backup, can be used to restore the data to the mysql container.Our first experience with. Restoring Backed Up data to MySQL Container ![]() The container will now start, and will make a backup from the MySQL container you just linked. Remember to click (+) so it adds the linkĪdd Volumes support to the mysql-backup image: Go to Settings -> Volumes Go to Settings -> Network and in the Link section, choose the mysql container to be linked to the new image. In order to save the database data, we need to make use of another image, called mysql-backup. ![]() Right on "IP & Ports" widget at the MySQL container home page on Kitematic - Database Name wpĪs I mentioned, the MySQL data will not persist by simply adding a volume, as the WP files do. Important: To find the Database Host, use the value Kitematic shows as ACCESS URL, Let's fill it with the values we just setup.
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