Grafana Tempo 2.6 is here with performance improvements and buckets of new TraceQL features! Watch the video above for an overview of the new TraceQL features, or continue reading to get a quick overview of the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the Grafana Tempo 2.6 release notes or the changelog.

Observability is undergoing a massive shift as enterprises drive adoption of modern technologies, including cloud and microservices, along with disruptive technologies, such as generative AI (GenAI). To keep pace with the complex requirements of the modern tech stack, operations teams need to consider and adopt next-generation observability. Splunk users are often challenged by using products that provide fragmented observability, hampering their ability to modernize their environments.

August has been an outstanding month for the Cycle team, marked by significant advancements across the platform. We've introduced new features aimed at simplifying workflows and enhancing user experience. As we wrap up August and look ahead to September, we're excited to share the progress we've made and what you can expect in the coming weeks.

In many organizations, network teams are experiencing a significant skills shortage. The network operations center (NOC) requires expertise in various emerging technologies, which makes it increasingly challenging to find qualified candidates with the right skills. A recent survey revealed that in 2022, only 26% of companies found it somewhat to very difficult to hire networking professionals. By 2024, this figure had risen to 41%.

Docker Desktop has been a go-to tool for many developers, but since it introduced its paid version for enterprises, numerous teams have been exploring alternatives. Whether you’re looking for a free solution or a tool tailored to different workloads, there are several competitive options to consider in 2024.

This guide provides an in-depth look at its setup and usage, helping you monitor and manage your Kubernetes clusters more efficiently.

As the 2nd part of a couple of blog posts I wanted to do after the Frends Autom8 event this week, I wanted to talk about the use case where a customer is using Frends, but they have their own Azure environment and is using that for hosting the agents for Frends.

Last time we spoke, I told you about our (then) brand-spankin’-new OTel over HTTP implementation, in both our OpenTelemetry Source and Destination. That was a little over a year ago, also known as a lifetime in tech! I wanted to take another opportunity to speak to you and introduce some of our new OpenTelemetry features, and share how you can put them into practice!

Azure DevOps is a robust tool that integrates a wide range of development and project management functionalities into one platform. It covers various aspects of the software development lifecycle, from version control to continuous integration and deployment. However, when it comes to dashboards, Azure DevOps leaves much to be desired. Here’s why these dashboards often frustrate users.

Deploying Kafka on Kubernetes can feel like a game-changer—mixing the powerful message streaming capabilities of Kafka with the flexible, scalable orchestration of Kubernetes. It sounds like a match made in heaven, right? Well, not so fast. While running Kafka on Kubernetes has some fantastic benefits, it also comes with its own set of challenges. Without careful planning, it’s easy to become entangled in a web of pods, StatefulSets, and persistent volumes.