The latest News and Information on Containers, Kubernetes, Docker and related technologies.
A Docker container is a portable software package that holds an application’s code, necessary dependencies, and environment settings in a lightweight, standalone, and easily runnable form. When running an application in Docker, you might need to perform some analysis or troubleshooting to diagnose and fix errors. Rather than recreating the environment and testing it separately, it is often easier to SSH into the Docker container to check on its health.
Multi-cloud seems like an obvious path for most organizations, but what isn’t obvious is how to implement it, especially with a DevOps centric approach. For Cycle users, multi-cloud is just something they do. It’s a native part of the platform and a standardized experience that has led to 70+% of our users consuming infrastructure from more than 1 provider.
Software development, agility and efficiency are paramount. Continuous Integration and Continuous Deployment (CI/CD) practices have revolutionised the way we build, test, and deploy software. When coupled with the power of Kubernetes, an open-source container orchestration platform, organisations can achieve a level of deployment excellence that was once only a dream.
Memory (or RAM, short for random-access memory) is a finite and critical computing resource. The amount of RAM in a system dictates the number and complexity of processes that can run on the system, and running out of RAM can cause significant problems, including: This problem can be mitigated using clustered platforms like Kubernetes, where you can add or remove RAM capacity by adding or removing nodes on-demand.
We recently covered some of the complex decisions and architecture behind Cycle’s brand new interface. In this final installment, we’ll peer into our crystal ball and glimpse into the future of the Cycle portal. Cycle already is a production-ready DevOps platform capable of running even the most demanding websites and applications. But, that doesn’t mean we can’t make the platform even more functional, and make DevOps even simpler to manage.
