Operations | Monitoring | ITSM | DevOps | Cloud

Where does your team stand on DORA metrics? The Jackpocket software development team wanted to know that, too, so they implemented Sleuth to find out. Now, they know exactly where they stand AND where they're making progress. Give Sleuth a try and see how we empower software teams to build faster by making engineering efficiency easy to improve and measurable — in a way that both managers and developers love.

Learn how to maximize developer productivity by leveraging large language models for rapid code refactoring. Large language models like ChatGPT have tremendous potential to automate repetitive coding tasks and boost team effectiveness. In this MAAS Show And Tell, Peter Makowski, Senior Web Engineer at Canonical, shares insights and a real-world example of using LLM for a successful large-scale migration of hundreds of tests from enzyme to @testing-library/react.

"Startups are defined by “ship or die”. As a result, SRE teams at a startup should be focused on enabling product engineers to ship features as quickly as possible. As your startup transitions from “we’ll run out of money in the next 18 months” to “we have more than 1000 engineers”, how should the SRE organization evolve and provide the best value through that transition (including booting one up if you don’t have one)? I will discuss specific ways the organization needs to evolve to meet this challenge, how the SRE org can advocate for and support this change (both in direct actions and in “influence”), and how the overhang of startup technical and cultural debt can make this shift more challenging (but also more necessary).

Learn how the new Checkly features (code exporter and activity log) enable you to integrate Monitoring as Code into your Software Development Lifecycle. Define and debug your monitoring resources during development, test your preview deployments and start monitoring productions with ease.

Check out this quick demo of Jupyter Notebook previews directly in Mattermost. While this is a work in progress, we hope to have it implemented soon in the Mattermost AI plugin.