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Cribl

Cribl Stream: Up To 47x More Efficient vs OpenTelemetry Collector

Let me set the record straight before anyone accuses me of bias or not being an OpenTelemetry supporter. Cribl loves OpenTelemetry! We’ve written lots of blogs about It; we have vendor-specific OpenTelemetry Destinations (with more to come!), and we support automatic batch parsing for easier data manipulation and re-batching for network transport efficiency of logs, metrics, and traces.

12 Ways We Sleighed Innovation This Year

As we wrap up an incredible year, it’s the perfect time to celebrate Cribl’s progress and innovation in 2024! This year brought many exciting features designed to solve real-world problems and make life easier for our customers. In the spirit of reflection and festivity, I’ll highlight twelve game-changing product features, releases, and enhancements— each a testament to listening, learning, and delivering value to you, our users.

Scaling Observability on a Budget with Cribl for State, Local, and Education

Over the past year, I’ve noticed some interesting trends in my work with state and local governments. Across my conversations with organizations in this space, there’s a common thread: teams are getting creative about maximizing their limited resources. With budgets either flat or shrinking and operational demands increasing, these teams face tough choices. They’re being asked to maintain or improve services while working with the same, or in some cases, fewer resources than before.

Make NetFlow Flow Without Breaking The Network

Ever wondered how many NetFlow exporters or edge routers you have configured on your core switches? What if I told you that every exporter uses ~0.2% bandwidth in overhead? While that may not seem like much (and it has been a few years since most network engineers were worried about CPU overhead for NetFlow exports), older hardware and network OS versions may be more sensitive to having multiple flow exporters configured.

Is Your Telemetry Data Strategy Ready for the Next Decade?

What worked for the last 10 years won’t work for the next 10. IT and Security teams face three big challenges with telemetry data: Volume: Telemetry data is growing at a 28% CAGR, while budgets remain flat. Compliance requirements demand retaining massive datasets, straining both storage and costs. Variety: Logs, metrics, traces, configs—telemetry data comes in all shapes and sizes, making it difficult for traditional analytics tools to handle. Your tech needs to manage this complexity seamlessly.

Leveraging AWS Private Image Build for a Compliant Cribl Deployment

In today’s data-driven world, ensuring the security and compliance of your data pipelines is paramount. Cribl Stream and Cribl Edge offer powerful telemetry data management and enrichment solutions. However, deploying these tools within your environment often requires careful consideration of security and compliance standards.

Cribl: Empowering Data Freedom with Open Standards and Unmatched Flexibility

If you are familiar with Cribl’s solutions, you know that we offer our customers choice and control over their data. The entire company is built on the idea that we want to help you get your data from anywhere to anywhere using open standards and open data formats. It is your data, and you have full control over what you collect and how it is handled.

Simplify OpenTelemetry Metrics with Cribl Edge OTLP Conversion

Cribl Edge can send data to OpenTelemetry in several different ways. In this blog post, we’ll focus on the OpenTelemetry Metrics. In the blog, we’ll talk about Cribl Edge, but what we say applies to Cribl Stream, too! We will cover how to use Cribl Edge to collect Linux System Metrics, transform them into the OTLP Metrics format, and deliver them to an OTLP Destination.

Cribl and CrowdStrike Partner to Transform Data Management for SIEM Solutions

Cybersecurity is moving fast, and if your security data management strategy can’t keep up with your growth, you’re already behind. Security operations centers (SOCs) today face mountains of data spread across countless tools and platforms. Combine that with evolving cyber threats, and you have an environment that demands a smarter approach to SIEM data management.