Operations | Monitoring | ITSM | DevOps | Cloud

Whenever a new customer joins incident.io, we make notes on what made them chose to buy our product and, if we were in a competitive process, why they chose us over other providers they were evaluating. It’s a lot of messy data and raw notes, but contained within is a veritable treasure trove of customer feedback. Summarising large amounts of data? Sounds like the perfect job for an LLM.

Businesses are constantly on the lookout for ways to optimize operations, reduce costs, and stay ahead of the competition. One of the most effective strategies for achieving these goals is adopting open-source software (OSS). Open-source tools offer a myriad of benefits, from cost savings to enhanced flexibility and innovation. However, transitioning to an open-source environment can be daunting without a clear roadmap.

There’s a reason why observability and incident response practices have become standard across modern software development. Anyone wanting to minimize downtime and deliver reliable, available applications needs to have fully instrumented systems and playbooks so they can respond quickly and effectively to outages or incidents. But there’s another piece to the reliability puzzle: resilience testing.

When it comes to improving your coding workflow, Visual Studio Code (VS Code) extensions are a fan favorite among devs worldwide. Well-known extensions like Prettier for code formatting, ESLint for identifying and fixing problems, and Live Server for launching a local server are fantastic, but there are plenty of hidden gems offering unique features these popular tools don’t cover. We turned to Reddit to find out which lesser-known VS Code extensions the community’s talking about.

ObserveNow, the leading open source-based observability stack, has recently enhanced its capabilities with the introduction of Span Filtering – a key feature in its latest upgrade to Grafana 10.4. This advancement significantly improves the platform’s ability to dissect and analyze traces, which are crucial for understanding the behavior and performance of distributed systems.

DevOps uses software development (Dev) and IT operations (Ops) philosophies and practices to shorten the software development lifecycle (SDLC), provide continuous delivery of products, and maintain high software quality. Engineers who tackle slow deployment problems, communication bottlenecks between development and operations teams, and manual and error-prone engineering processes and tasks are doing DevOps work.