Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft’s new network insights tools – recently released as a preview – provides an overview of connectivity to your tenant and gathers information from the new Microsoft 365 network. These previews make it easier for administrators to better understand potential problems and whether users have good or bad connectivity to the service.

Catchpoint has been recognized as a Strong Performer in the emerging field of end-user experience management (EUEM) by Forrester Research in The Forrester New Wave™: End-User Experience Management, Q4 2020. The Forrester New Wave report aims to help I&O professionals identify the right partner for their EUEM needs.

„Thanks for coming! Thanks for supporting us as a company, as a product, as our people! Enjoy the wonderful night!“ A shower of confetti was pouring over the heads of celebrating people just as our CEO Bernd finished his sentence. „I Gotta Feeling“ by Black Eyed Peas played. The song was released on May 21, 2009. Just shortly after Icinga was seeing the light of the world on May 6, 2009. It was the early summer of 2019. We were celebrating the 10th anniversary of Icinga.

Artificial intelligence for IT operations (AIOps) means a lot of different things to a lot of different people, so a definition of what it is and what it does is difficult to nail down. In an age where digital acceleration is priority zero, companies are evaluating cultural shifts towards new operating models like service ownership to unlock efficiency in a complex world of hybrid cloud environments, AIOps emerges as an attractive potential investment to solve central IT aches and pains.

When we decided to build Checkly's browser checks, we chose to do so with Puppeteer, an open-source headless browser automation tool, later adding Playwright, too. We wanted to support users with synthetic monitoring and testing to let them know whether their websites worked as expected at any given moment. Speed was a primary concern in our case. Yet, determining which automation tool is generally faster is far from simple.

Recently, the JetBrains .NET advocacy team published a deep-dive post powered by data we retrieved from the official NuGet APIs with the goal of better understanding our community's OSS past and trying to predict trends into the future. This resulted in a giant dataset. Given our experience with Elasticsearch, we knew that the best tool to process millions of records was what we're calling the NECK stack: .NET, Elasticsearch, CSV, and Kibana.