Creating an Octopus step template to create and push a Docker image to DockerHub is a good way to move from a VM to Containers while keeping the current infrastructure.
This in-depth look at how to Spring Boot Docker images to the Amazon EC2 Container Registry provides a good example of Spring, Java, the cloud, and container usage.
It's tempting to provision more memory to your VM than you need, but that can cause headaches—and containers might make it worse. The answer lies in auto-scaling.
Microservies and Docker have become the peanut butter and jelly of modern app delivery. They allow organizations to work in a consistent, isolated runtime environment.
Docker Swarm makes it relatively easy to scale apps. With the help of Terraform and Packer, you can set up scaling for an app using cloud-native infrastructure.
If you have Redis, Node.js, and the Heroku toolbelt installed on your machine, then you've got everything you need to build a real-time chat application.
Using a poor-quality server wastes everyone's time because the build takes too long to finish, resulting in intermittent test results and frustrated engineers.
Let's look into the Apache Ignite Cluster Layer, a GitHub project that includes the basic building blocks needed to implement a proposed microservices-based architecture.
Apache Lucene's indexing and searching capabilities make it attractive for any number of uses—development or academic. See an example of how the search engine works.
There are many paid email services out there that offer various integration features. However, most of the time, they aren’t 100% customizable to one’s requirements.
Merging continuous deployment and serverless tech is possible. Assuming you've got a pivot machine, you can combine the power of your Octopus deploys and AWS Lambda.
BDDfire allows you to set up the entire framework with code quality, browser testing, cloud testing, API testing, and Docker integration by running three simple commands.
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