Service alarms are going off and you are on the hook to restore stability, but you need to prevent any more changes to production while you dig further. You could "freeze" production by announcing it in the office, sending a message on Slack, or sending an email to the affected teams, but that may not be enough or may require extra work that would distract you from debugging and fixing the problem.
Many of the available configuration management tools, such as Ansible, Terraform, Puppet, Chef, and Saltstack provide automation for infrastructure, cloud, compliance and security management, and integration for deployment and continuous deployment (CI / CD). But what is the best tool to start automating your particular environment? The difficult task of evaluating Configuration Management Tools prevents DevOps from evolving technically and proposing improvements to the environment they manage.
While Kubernetes has been traditionally used with Linux workloads, the desire to run Windows applications is an important need for many organizations that have critical applications running on Windows Server. Docker has already offered support for native Windows containers, so the next missing piece would be Windows node support in Kubernetes clusters. Google Cloud has recognized this gap and is now offering Windows support for Kubernetes clusters.
One of the most critical metrics when it comes to the software delivery process is deployment frequency, which measures how often releases are happening in production. While in theory all organizations should strive to deploy as often as possible, in practice the benefits for frequent deployments are often overlooked or buried under endless technical debates.
Building upon the success of Helm 2, Helm 3 has recently been released and the server-side component, Tiller, is finally gone! Helm works out-of-the-box with Coderesh, so releasing your Helm 3 applications is as easy as pie. In this blog post, you will learn about viewing Helm releases, and monitoring Helm environments. Still using Helm 2? Not to worry! With a click of a button, in Codefresh, you can manage both Helm 2 and Helm 3 clusters simultaneously!
COVID-19 has led businesses into extreme work challenges. To overcome these challenges, companies have shifted their working patterns and have embraced Remote Work to avoid any negative impact on employee’s health as well as the business. COVID-19 has made IT-sector office culture’s shift to remote work prominently. The tech teams, who already have DevOps processes in place, got huge benefits and did not get much impact while shifting their workplace from regular office to home.
At Cloudsmith, we are all about automation and we believe that the Cloudsmith CLI is an essential part of your DevOps toolkit.
This blog post will provide you with information on how to use JFrog CLI with JFrog Distribution workflows. JFrog Distribution manages your software releases in a centralized platform. It enables you to securely distribute release bundles to multiple remote locations and update them as new release versions are produced. For those of you who are not yet familiar with the JFrog CLI, it is an easy to use client that simplifies working with JFrog solutions using a simple interface.
One of the exciting things about being a Golang developer today is the strong community that supports the evolution of the language that was developed at Google. The founders of Golang were open to getting engineers involved early-on and the community-centric approach has now become an asset to Go itself.
If there’s one thing SRE professionals and DevOps engineers lack, it’s time. After all, engineers need to oversee a variety of processes—like ensuring operational stability, conducting integration testing, and maintaining cybersecurity—to make sure their apps are working optimally. The list goes on and on. With heavy workloads and tight deadlines, there’s little time to waste on software issues stemming from internal collaboration issues.
