Operations | Monitoring | ITSM | DevOps | Cloud

Cribl Stream and Cribl Edge can send data to Splunk in several different ways. In this blog post, we’ll focus on the common scenario where you want to connect Cribl Stream’s Splunk Load Balanced Destination to many Splunk Indexers at once. (We’ll talk about Cribl Stream, but what we say applies to Cribl Edge, too.) Cribl Destinations settings default to reasonable values. Sometimes Cribl Support recommends changing those values for better results in a given situation.

Did you know you can deploy Tetragon and parse high-volume logs with Cribl Edge? It’s true! Tetragon integrates seamlessly with Cribl Edge. This combination enhances monitoring capabilities in Linux environments. Have your cake and eat it, too. With a combined Cribl and Isovalent solution, you can deliver deep insights into your workloads, optimizing for your specific operational requirements with zero loss of data fidelity.

Are you managing a Cribl environment? We love that for you; you’re at the forefront of complex data orchestration. As the steward of this dynamic data ecosystem, you have to manage and optimize the flow of information from diverse sources. As data volumes grow, the struggle gets even more real. No worries, though. You’ve got Cribl Stream. Monitoring Stream is critical.

Remember when you were a kid and your school put on a production of the latest grade school drama? Maybe you didn’t get the lead role, but it was fun to put on (or watch) the show. Search Sandboxes are just like that! Except you get to be the stage manager when searching data. And Search Sandboxes offer you everything you need to make it an all-star performance.

Clouds aren’t magical data farms in the sky; they’re the backbone of modern infrastructure. Whether you’re using a public cloud, private cloud, or a mix of both, migrating to cloud-based infrastructure is not just a trend; it’s a strategic move for businesses seeking agility, scalability, and cost-efficiency. Cloud migration—moving data, applications, and workloads to the cloud (or between clouds)—is a critical step in this transformation.

Did you know that Cribl University is Cribl’s free online training platform, offering a wealth of knowledge in the form of self-paced, video-driven, and hands-on lab learning about our products and the data industry? But, of course, you’re probably already aware of that.

OpenTelemetry is starting to gain critical mass due to its vendor neutrality and having worked in the APM space for the last five years. I can see the appeal. Using OpenTelemetry libraries to instrument your code frees you from putting vendor libraries in your codebase. The other challenge most customers face is balancing cost versus visibility. While effective, most APM solutions are costly.

“Half the time the toilet’s out of reach – the other half it’s out of order”. –Arthur C. Clarke, Report on Planet Three and Other Speculations.

As IT managers and security practitioners navigate the complex terrain of modern cybersecurity in 2024 and beyond, the importance of endpoint telemetry cannot be overstated. This sophisticated technology involves meticulously gathering and analyzing data from various network endpoints, such as personal computers, mobile devices, and the ever-growing network of IoT devices.

When we discuss observability for applications running in Kubernetes, most people immediately default to Metrics, Logs, and Traces – commonly referred to as the “three pillars.” These pillars are just different types of telemetry – signals that can be fed into observability platforms to help understand how an application behaves. But did you know that Kubernetes offers another valuable signal? When combined with the other signals, you get MELT.