Operations | Monitoring | ITSM | DevOps | Cloud

Ever spent a week wrangling log pipelines just to get your SIEM to stop screaming about missing fields? Wasted way too much time stripping out noisy events and reformatting data for analytics? You’re not the only one. If you work in Security or ITOps, you know the pain: every new data source means another round of schema headaches, more manual mapping, endless field transformations, and a quick prayer that you didn’t break something critical (or let in a flood of junk events).

If you’re a Splunk user relying on Dynamic Data Self Storage (DDSS) or Active Archive (DDAA), you’re likely familiar with this frustrating loop.

Have you heard that Search Packs are now officially generally available?

Cribl Packs have always provided a powerful way to package and share configurations across Cribl Stream environments. From pipelines to lookups, knowledge objects to functions—Packs make telemetry pipelines simple and portable. Now, we’re excited to announce a game changing expansion: Sources and Destinations can now be included in Cribl Packs!

Cribl recently introduced Lakehouse, a powerful new feature within Cribl Lake that enables fast queries on the freshest data. But it’s so much more than just speedy searches. Lakehouse redefines how organizations collect, store, manage, and analyze telemetry data at scale, ensuring a future-proofed, cost-efficient, and flexible approach to data management.

Cribl’s powerful data processing engine is designed specifically for IT and Security teams, enabling organizations to take control of their ever-growing data volumes. By simplifying the management, processing, and analysis of telemetry data, such as logs, metrics, and traces, generated across complex digital environments. This empowers organizations with the choice, control, and flexibility to manage and analyze data, allowing them to adapt to evolving needs and strategies.

At least once a week, a team reaches out to discuss migrating from an established SIEM or analysis platform. This major decision is influenced by several compelling factors, which can create significant work for engineering teams and pose risks to the business. The cost of switching to a new platform, often referred to as displacement costs, can be substantial.