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Mattermost

Mattermost Playbooks How-to: OKR Management

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.

Easy Kubernetes metrics and cluster management with K9s, Kubectx, and Kubens

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.

A guide to static analysis in JavaScript and TypeScript

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.

Essential tips for automating DevOps workflows

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.

Pre- and post-deployment testing methodologies for CI/CD

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.