In 2011, a Netflix engineering team introduced the concept of chaos engineering with its release of Chaos Monkey. This was initially an in-house tool developed to orchestrate fault injection that Netflix eventually made open source. However, the reliance of Chaos Monkey on Spinnaker, another Netflix engineering innovation, establishes some limitations.
Communication within organizations has evolved from email threads to real-time chats. With the vast potential of real-time messaging, organizations are beginning to explore how they could make these chat applications do more. We now even have a name for this phenomenon — ChatOps. To get a taste of the power of ChatOps in action, let’s build a ChatOps bot that sits in a Mattermost channel with Errbot.
We understand how critical a message archive can be to your organization. Empowering you with complete control over your data—including your message history—is a key tenet of our mission here at Mattermost! If you’re part of one of the many teams and communities that use Slack to collaborate – take note: After September 1st, 2022, you will no longer be able to access your Slack message history older than 90 days on your free workspaces.
Creating, managing, and tracking high level goals can be incredibly burdensome and complex for organizations with numerous stakeholders and cross-functional collaboration. Team leads and executives manage multitudes of reporting tools and departments while contributors often have little visibility into the process of creating goals or the progress towards achieving those goals.
Efficiently retrieving Kubernetes metrics is the beginning of cluster performance optimization. Cluster metrics such as logs and resources descriptions are crucial as they map the health of your cluster. There’s a Kubernetes tool called K9s that lets you access your Kubernetes cluster metrics swiftly using short keys. K9s prioritizes aesthetics and performance as it displays its contents and functions in an aesthetically pleasing UI.
Mattermost v7.2 is generally available today. The following new features are included (see changelog for more details).
The demands of a tight production schedule can make it difficult to produce consistent, readable, and concise code in the lead-up to a manual code review. This often makes the process stressful — if not outright dreaded. Standard tests are a critical part of development that verify that our code produces the expected outputs. But great tests don’t always lead to good code.
Implemented well, automation can be a powerful tool for accelerating and scaling DevOps processes to keep your team building and shipping code quickly. But knowing what and how to automate DevOps workflows can be challenging; every organization’s DevOps practices are unique, and there’s no one “right” way to approach automation. Let’s look at a few tips for approaching DevOps workflow automation to help your team move faster.
Welcome to the August 2022 edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.
Your team has worked hard on a software product for months, and it’s finally ready to release to your users! But then the worst-case scenario happens: a wide release soon indicates that the software is plagued with bugs and performance issues, resulting in poor reviews and widespread user dissatisfaction.
