The latest News and Information on DevOps, CI/CD, Automation and related technologies.
As a team that does pure serverless, we place a lot of emphasis on fast deployments. Lately, though, as our codebase has gotten larger, and the number of interactions between the microservices has increased, we have come up against the classic problem of excessively long test execution times in our serverless continuous integration.
More than 40 million people use GitHub as a collaboration tool for building software around the world. For most companies — including distributed teams like Elastic — GitHub has become a critical content source for building software, holding much of the information and knowledge upon which the organizations are built, across items like issues, pull requests, and more.
Today, we’re excited to announce you can now integrate LaunchDarkly with Sleuth, allowing you to track feature flags as a source of change in your DevOps stack. The Integration LaunchDarkly gives developers fine-grained control over which users see which features, and with our native LaunchDarkly integration you can now track the status and impact of feature flags relative to other source changes in your projects, such as code, issues, etc.
With the rise of cloud computing and modern distributed systems, we also witnessed the rise of a new practice area: DevOps. Despite being fundamental for smooth cloud operations, a dedicated DevOps practitioner is a luxury most teams can’t afford. Salaries average $130K in San Francisco, for example. When a dedicated DevOps practitioner is not available in our team, what should we do? The answer could unfold a multitude of aspects.
(This blog post is part of a 5 part series, titled “How to launch IoT devices”. It will cover the key choices and concerns when turning bright IoT ideas into a product in the market. Sign up to the webinar on how to launch IoT devices to get the full story, all in one place.) First part: Why does IoT take so long? Second part: Select the right hardware and foundations Third part: IoT devices and infrastructure
The tutorial for building a Raspberry Pi cluster with MicroK8s is here. This blog is not a tutorial. This blog aims to answer; why? Why would you build a Raspberry Pi cluster with MicroK8s? Here we go a little deeper to understand the hype around Kubernetes, the uses of cluster computing and the capabilities of MicroK8s.
Canonical today announced full enterprise support for Kubernetes 1.18, with support covering Charmed Kubernetes, MicroK8s and kubeadm. Committed to releasing in tandem with upstream Kubernetes, enterprises can benefit from the latest additions to enhance their day to day operations.
