An oft-forgotten component of robust, production-ready code is testing. The moat protects us from costly service interruptions and fortifies trust in our product with our customers. Simply put, it’s in the critical path of damn good software. However, as we scale a cloud product to serve a rapidly growing user base, our test case scenarios scale correspondingly. As far as testing goes, end-to-end (E2E) testing most closely mirrors the end-user experience.

While spring is traditionally the time for tidying up for most folks, IT and Security teams know it is important always to maintain a clean, streamlined environment. However, we understand that doesn’t always happen with growing data volumes, stagnant budgets, and changing organizational priorities. This blog is to help you understand if you are properly overdue for a clean-up.

As a fan of OpenTelemetry, I love to see Cribl meeting customers where they are and helping them get to where they want to be with a vendor-agnostic approach. Where it is not possible or practical to re-instrument a telemetry source, whether an application or infrastructure, the barrier to adopting OpenTelemetry Signals can be daunting.

Cribl offers a suite of tools designed to optimize data pipelines, with different components tailored for managing and orchestrating data flows at scale across different teams and data sources. One of the biggest problems with building and running a multi-team data engine is isolation. This blog will cover how we at Cribl have handled the challenge of data, configuration, and access isolation for growing teams.

Large enterprises have long had the need to have secure, segregated instances that they can operate independently within their cloud deployments. Whether you need to segregate your data inter departmentally (ITOps vs.

With IT modernization and increased cloud usage, more organizations are looking to Software-as-a-Service offerings for their security and data needs. Microsoft Azure Sentinel is a cloud-based SIEM that security operation centers rely on for data analytics. Cribl makes it easier for Microsoft Azure Sentinel customers to get data into their security analytics platform. Leveraging Cribl Packs, organizations can easily ingest data from various vendors with various formats while requiring little effort.

This is the third and final post in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and second posts, you can find them here and here.

With the 4.6 release, Cribl.Cloud Enterprise users now have the opportunity to opt-in to a new cloud experience. As a deeply customer-centric company, we listened to your feedback, and we heard you! We are making our user experience efficient, secure, and flexible. As we work to refine this new experience, we invite you to partner with us and share your input to influence this transformation as it makes its way across the entire Cribl suite!

This is the second in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and last posts, you can find it here. In the dynamic world of managing observability and telemetry data, pricing models for tools and platforms are showing their age, creating a significant disconnect between vendors and the IT and security teams they serve.

At Cribl, we value the simplest and quickest path to shipping new things. This is especially true with shipping new products. We took this approach with Cribl Edge, so we could get it into the hands of existing and potential customers as soon as possible to learn more about their needs and requirements. In order to ship a high-quality Edge product quickly, we based all of the systems for management and data streaming directly on the existing, battle-tested systems we built for Stream.