The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Kubernetes is the leading container-orchestration tool that was open-sourced in 2014 by Google and has helped engineers across the globe to significantly lower their cost of cloud computing ever since. Kubernetes also provides a resilient framework for deploying applications. Kubernetes management tools are quickly becoming essential to those that wish to monitor their containers on an ongoing basis, test, export and create intuitive dashboards.
Observability has gained a lot of momentum and is now rightly a central component of the microservices landscape: It’s an important part of the cloud native world where you may have many microservices deployed on a production Kubernetes cluster, and a need to monitor these microservices keeps rising. In production, quickly finding failures and fixing them is crucial. As the name suggests, observability plays an important role in this failure discovery.
When running a cloud service, it’s never good for customers to be the first people noticing an issue. It happened to our customers over the course of a few months, and we began to accumulate a series of reports of unpredictable start-up times for Docker jobs. At first the reports were rare, but the frequency began to increase. Jobs with high parallelism were disproportionately represented in the reports.
Docker is a high-level virtualization platform that lets you package software as isolated units called containers. Containers are created from images that include everything needed to run the packaged workload, such as executable binaries and dependency libraries. Images are defined in Dockerfiles. These resemble sequential scripts that are executed to assemble an image.
