The latest News and Information on Containers, Kubernetes, Docker and related technologies.
Nowadays APIs are the de facto method of communication between services. With all the connections points, setting up environments to efficiently build and test can be difficult. Also, in lower environments, 3rd party APIs can be unreliable, incorrect or non-existent.
In a relatively short amount of time, Kubernetes has evolved from an internal container orchestration tool at Google to the most important cloud-native technology across the world. Its rise in popularity has made Kubernetes the preferred way to build new software experiences and modernize existing applications at scale and across clouds. With Kubernetes, companies can host workloads running on a single cloud, as well as workloads across multiple clouds.
Docker containers have revolutionized the cloud industry. While Docker containers already present remarkable benefits and plus-points over other virtualization methods, there are significant performance gains that developers can further squeeze out of Docker to get the most out of the technology. This guide will cover different methods of optimizing Docker performance and answer some frequently asked questions about the technology.
For the last several years, GitLab has run a major survey about the trends facing the DevSecOps community. This year over 4,000 people responded to the survey, 40% who identified as a Software Developer / Software Engineer. Also about half the survey participants are based in Asia, a major region for Software Developers. One of the biggest trends you will find throughout the survey is how much developers value speed and efficiency.
In a previous post, we discussed the rise of the developer platform and how developer productivity is one of the main reasons why many organizations are either looking for or building an internal developer platform (IDP). According to a recent global survey done by Stripe, on a scale of 0 – 100%, developers responded that only 68.4% of their time is productive, which means that developers could be nearly 50% more productive than today: (100% — 68.4%) / 68.4% = 46%
It has been five months since we announced project Harvester, open source hyperconverged infrastructure (HCI) software built using Kubernetes. Since then, we’ve received a lot of feedback from the early adopters. This feedback has encouraged us and helped in shaping Harvester’s roadmap. Today, I am excited to announce the Harvester v0.2.0 release, along with the Beta availability of the project!
ECS Anywhere allows you to use Amazon Web Services’ container service outside of the AWS cloud, and Canonical is proud to be a launch partner for this service. Using Ubuntu as the base OS for your ECS clusters on-prem or elsewhere will allow you to benefit from Ubuntu’s world-leading hardware support, professional services, and vast ecosystem, in turn allowing your ECS clusters to run with optimal performance everywhere you need it.
