I’ve been leading software teams for more than 20 years and one thing I’ve learned about metrics is that leaders tend to put too much emphasis on engineering metrics alone, without considering the bigger picture. After speaking to a range of engineering industry leaders, and poring over millions of jobs processed from software teams worldwide, we found that the most insightful and relevant metrics fall into three categories: What metrics are meaningful for your team to measure?
Sit down with Ana and Jason for this week's show with Leonardo (Leo) Murillo, principal partner solutions architect at Weaveworks, and former DJ, who joins us from Costa Rica. Leo shares his take on GitOps, offers a lot of excellent resources to check out, and shares his thoughts on automating reliability. He also defines how to account for the “DJ variable” and “party parameters” alongside some fun anecdotes on DevOps.
This post outlines the quickest path available for a developer to use a basic Mattermost app on a local setup. It makes use of Docker containers, a Node.js app, and — of course — a Mattermost instance! When you’re ready to get started with the Mattermost App Framework, here are the steps that you will need to take.
CFEngine is well suited for use in IoT environments due to it’s portability, size, and performance. There already exists a meta layer for including the CFEngine community client and Masterfiles Policy Framework in Yocto Project builds.
Log observability and monitoring are terms often used interchangeably, but really they describe two approaches to solving and understanding different things. Observability refers to the ability to understand the state of a complex system (or series of systems) without needing to make any changes or deploy new code.
For the past five years, CircleCI has hired third-party penetration testing firms that hammer our product releases or infrastructure at minimum every 90 days. To date, we’ve done more than 25 of these. Sometimes they cover new product features and other times they cover infrastructure.
Visualizing log data is one of the biggest perks of using good log management software. Data is many businesses’ most critical asset. But, without proper use, a business’ data becomes just an artifact and no longer an asset. Visualization and analysis are the end goals of collating log data from their sources. The need for visualization arises from the fact that we intuitively process visual information faster than a random jumble of numbers and letters.