Operations | Monitoring | ITSM | DevOps | Cloud

Enterprises are looking to capitalise on the new wave of small form-factor computing and navigate the shift to the edge. Device manufacturers across the world are racing to build embedded, connected devices that will deliver on the promise of the fourth industrial revolution. Many of them are looking to explore data-driven value-chain optimisations, predictive maintenance and or new digital customer experiences.

Teams are locked into a cycle of suffering characterized by the feeling that they are sprinting just to stay still. This morale and productivity-destroying state is caused by an inability to find time to save time. Our new research, The State of Availability Report 2022, discovered that teams know what they want to do—harness cloud and DevOps practices and tools to advance digital transformation—but something’s getting in the way.

Sleuth’s product team is pleased to announce an exciting new feature that provides early and actionable visibility into emerging work-in-progress risk! With this release, Sleuth provides customers even more actionable visibility into their engineering efficiency. It extends Sleuth's deploy-centric tracking capabilities upstream in the developer workflow to provide real-time visibility into in-flight work and its emerging risks. Here's how it works.

Components are reusable bits of code that, most of the time, work and function independently. If you want to be confident that components are working properly, you need to test them. Conveniently, Cypress.io has designed their testing framework to include component testing. This tutorial illustrates the differences between end-to-end (E2E) and component testing, and what to consider when using these methods. Then, you will learn how to use Cypress for component testing.

As a developer, it can become challenging to manage Kubernetes and develop applications simultaneously. That’s why we put together this guide to show you how the Kubernetes Dashboard can help developers overcome this problem and get an overview of the cluster and its workloads. From this, developers can focus more on application development while stressing less on cluster management.