Grafana Loki 2.8 is here — and it’s at least 0.1 better than Loki 2.7! Jokes aside, this release includes a number of improvements users will appreciate. In addition to graduating our TSDB index from Experimental to General Availability, we’ve added a number of nifty LogQL features, and we’ve made the Loki deployment and management experience much easier. This also marks the release of Grafana Enterprise Logs (GEL) 1.7.

For so many, the unknown sucks. Knowing or knowing what to expect is best. Why? Because it puts us at ease, and peace and gives us a calm sense of knowing without having experienced it yet. That’s part of my mission here at Cribl. I talk to a lot of people and the one consistent part of these conversations is the unknown.

Sumo Logic has been a staple of the observability industry for years. Let’s look at some key measurements when comparing Coralogix vs. Sumo Logic, to see where customers stand when choosing their favorite provider.

With observIQ’s latest contributions to OpenTelemetry, you can now use free open source tools to easily monitor Cloudflare. The easiest way to use the latest OpenTelemetry tools is with observIQ’s distribution of the OpenTelemetry collector. You can find it here. In this blog, the Cloudflare receiver is configured to monitor logs locally with OTLP– you can use the receiver to ship logs to many popular analysis tools, including Google Cloud, New Relic, OTLP, Grafana, and more.

The shortcoming of traditional SIEM implementations can be traced back to big data analytics challenges. Fast analysis requires centralizing huge amounts of security event data in one place. As a result, many strained SIEM deployments can feel heavy, require hours of configuration, and return slow queries. Logz.io Cloud SIEM was designed as a scalable, low-maintenance, and reliable alternative. As a result, getting started isn’t particularly hard.

ChatGPT is so hot right now, it broke the internet. As an avid user of ChatGPT and a developer of ChatGPT applications, I am incredibly excited by the possibilities of this technology. What I see happening is that there will be exponential growth of ChatGPT-based solutions, and people are going to need to monitor those solutions.

Upon its release in November 2022, ChatGPT stunned Silicon Valley and the world. OpenAI, a small company based in San Francisco, introduced a chatbot that mimics complex emotions, writes code and answers complex questions. Technology considered a decade away was now at everyone’s fingertips and quickly became the fastest-growing app in history. Just four months later, OpenAI launched a significant update, ChatGPT-4, and the results of this new technology are fascinating.