The Docker environment provides loose isolation between your applications and your host machine because it containerizes your applications. In other words, this implies that your application operates in a container independently of your host computer in order to achieve its intended results. Docker containers have a writable layer on top that allows you to modify the contents of the container while it is running. However, the container lifecycle dictates how these changes are made.

As companies are transforming themselves to compete in the cloud era, there’s renewed emphasis on delivering seamless customer experience, improving IT infrastructure, and releasing applications faster. As companies embark on the cloud adoption journey, Red Hat OpenShift gives developers a greater choice of components to build robust applications.

In this Docker tutorial, you will learn how to create and run Helix QAC as a containerized image. The basic definition of Docker is an open-source and popular operating-system-level virtualization (commonly known as “containerization”) technology that is lightweight, portable, and primarily runs on Linux and Windows. Docker makes it easier to create, deploy, and run applications by using containers.

A container is a separate unit of software that encapsulates the software and libraries of an application, including its dependencies and its code. As a means of developing and managing stable applications, many organisations are adopting containers. Millions of applications currently use Docker, one of the most useful tools in this space. A Docker container can be used to build, run, inspect, and manage container images for developing applications.

Want to deploy a Rails app with Docker and AWS, but not sure where to start? AWS Fargate simplifies the convoluted process of deploying Docker on Amazon's Elastic Container Service (ECS). It's also a good alternative to Heroku.

In this article, you’ll be introduced to two tools: Speedscale and NeoLoad. Both of these tools offer you a way to load test your applications. This post will compare their ease of setup, development experience, fit within a modern infrastructure, and integration into CI/CD. Load testing is not a new concept in any way: the term was common even before Google Trends started recording data in 2004.

Have you ever experienced the problem where your code is broken in production, but everything runs correctly in your dev environment? This can be really challenging because you have limited information once something is in production, and you can’t easily make changes and try different code. Speedscale production data simulation lets you securely capture the production application traffic, normalize the data, and replay it directly in your dev environment.

Today it’s not unusual to see organizations having implemented mocking in their daily workflow, as mock APIs allow developers to speed up their development and not rely on external services. For those reasons and others, many engineers are looking to learn more about the mocked APIs and how they can best be implemented into their organization.