Operations | Monitoring | ITSM | DevOps | Cloud

As an observability architect, I have seen firsthand the power and importance of a robust monitoring solution. For infrastructure monitoring System Center Operations Manager (SCOM) stands tall. It is widely adopted and excels at monitoring the health and performance of infrastructure. However, as the need for advanced observability grows, such as tracking application logs and tracing code paths, SCOM's capabilities can fall short.

Debugging. It’s a critical skill for all developers. And when you’re building a dynamic, high-performance application with Next.js, Chrome DevTools, and console.log() aren’t always enough. There are more effective and structured ways to debug Next.js apps as they scale. You will also find practical tips from our Next.js debugging workshop sprinkled throughout. Also, while this guide is focused primarily on Next.js, there is a similar guide for debugging React apps here.

We're thrilled to announce a native integration with ilert, combining Honeybadger's full-stack application monitoring with ilert's real-time alert routing and on-call management platform. ilert handles alert routing, escalations, and on-call scheduling, ensuring critical issues always reach the right person at the right time.

Open source has always been the bedrock for everything we build here at Grafana Labs, going all the way back to Grafana creator Torkel Ödegaard’s first commit in December 2013. Ten years after Grafana Labs was founded, open source continued to be our driving force as we worked to develop and evolve our core OSS tools and technologies in 2024.

Choosing a database is no easy feat. You must consider your organization’s current requirements and anticipate its future needs. Also, there are plenty of databases to choose from, and each type has its pros, cons, and use cases. To help you decide, we’re diving into a MongoDB vs. MySQL comparison in this article. We’ll review each database to help you decide which one might meet your needs.

This post was written by Charity Majors and Phillip Carter. In May of 2023, we released the Honeycomb Query Assistant, an LLM-backed feature that lets engineers use natural language to generate and execute queries against their telemetry data. Instead of having to master a domain-specific query language, you can simply type in things like “slow endpoints by status code” and the Query Assistant will generate a relevant Honeycomb query for you to iterate on.