Today, we launch.
We've been thinking a lot about what it actually means to learn Cribl — not just watch videos and pass a quiz, but genuinely develop the skills to design pipelines, manage infrastructure, onboard new data sources, reduce ingest costs, etc. in ways your organization can measure. Cribl is the data engine for the AI era of data management, unifying and preparing all IT and security telemetry so humans and AI agents can reliably collect, route, and reason over data with the choice, control, and flexibility modern architectures demand. That's a big mission — and it requires people who truly know how to use the platform to pull it off. That kind of mastery doesn't happen by accident. It happens when education is built around real people doing real work.
Today, that vision is live. Welcome to the next generation of Cribl University!
This isn't a facelift. It's a rethink.
Yes, there's a cleaner interface and better navigation. But the real change runs deeper. We rebuilt Cribl University from the ground up around a single idea: the learner is at the heart of this experience.
That meant asking harder questions. Who is actually using Cribl every day? What are they trying to accomplish? What does success look like for a pipeline designer versus someone managing infrastructure versus someone investigating an incident at 2am? As the work of managing data grows more complex — and as AI agents become part of how organizations generate, collect, route, and act on telemetry — the people behind those systems need education that keeps pace. How do we make sure each of them can find exactly what they need, fast, without wading through content that wasn't built for them?
Learning mapped to the work you actually do
A new part of Cribl University is the goal-aligned learning paths and role-tailored collections. Built on a ‘Jobs-to-Be-Done’ framework, this approach organizes curriculum around the specific outcomes your team is trying to achieve — not just product features.
Think about the people who determine whether data strategy is working. They're hands-on-keys. They're designing pipelines, onboarding new data, keeping infrastructure running, and responding to incidents. They're the ones who will ultimately operationalize Cribl as your data engine — ensuring that both your human analysts and your AI-driven workflows have clean, reliable, well-routed data to work from. They don't need a generic learning journey. They need a path that speaks directly to their role and their goals.
With role-tailored pathing, it's far easier to connect training to outcomes. When learning is anchored in specific jobs and real workflows, you can draw a clear line from "we trained these roles" to "we reduced ingest cost," "we improved MTTR," or "we increased visibility into critical systems." In an AI-era, architecture where data quality and control directly impact what your agents can reason over, that line matters more than ever. That's not a soft value — that's ROI you can show.
Easier to find. Easier to share. Easier to come back to.
We also invested heavily in content discovery. Improved search and filtering means your team members spend less time hunting and more time learning. Enhanced content sharing means knowledge spreads more naturally across teams.
And certifications? They matter as much as ever — arguably more, as organizations make Cribl central to how they manage data across modern, hybrid architectures that are rapidly evolving to power AI initiatives. We've streamlined the entire certification experience — from discovery to renewal — so it's easier to earn your credentials and easier to maintain them when the time comes. Whether you're going for your first cert or keeping current, the new platform removes the friction that used to slow you down.
Skills that travel with you
Here's something we think about a lot: the people using Cribl aren't just learning a product. They're developing expertise in how data moves, how pipelines are designed, how telemetry is collected and routed, and how organizations maintain visibility and control as architectures shift and we prepare for the future of AI. Those are career-defining skills — the kind that don't disappear when you change jobs, change tools, or change industries.
The new Cribl University is designed with that in mind. Yes, you'll come away knowing Cribl deeply. But you'll also come away with a sharper understanding of data engineering, observability, and security operations that you can carry with you wherever your career takes you. The certifications you earn here aren't just a signal to your current employer — they're credentials that speak to your broader capabilities as a practitioner in the AI era of data management.
We want every learner to walk away not just more effective in their current role, but more valuable across their entire career.
On AI, fundamentals, and the honest truth
We'd be remiss not to address something directly: AI is changing the nature of work for IT and security practitioners, and nobody has a complete picture of what that looks like five years from now. Anyone who tells you otherwise isn't being straight with you.
What we do believe — and what we've built Cribl University around — is that the fundamentals matter more, not less, as AI agents take on more of the work. Here's why: an AI agent that's routing data, building pipelines, or investigating anomalies is only as good as the person who can evaluate what it's doing. If you don't understand how data flows through a pipeline, you can't tell whether the agent built it correctly. If you don't know how telemetry should be structured, you can't validate what the agent is collecting or catch what it's missing. If you don't have a grounded understanding of the tools, you lose the ability to instruct, correct, and trust the systems doing the work on your behalf.
The practitioners who will thrive in an AI-augmented environment aren't the ones who hand everything over to agents and walk away. They're the ones who understand the foundations deeply enough to guide those agents, troubleshoot when something goes wrong, and make judgment calls that no model is equipped to make on its own. That kind of expertise doesn't come from watching AI do the work — it comes from doing the work yourself, building intuition, and developing the mental models that let you stay in control when the stakes are high.
That's exactly what Cribl University is designed to build. Not just tool familiarity — genuine, transferable, durable competency. The kind that makes you a more effective collaborator with AI, not a passenger to it.
Meeting learners where they are
One of the things we're most proud of is the philosophy behind all of this: meeting learners where they are in their Cribl journey. Not everyone starts in the same place. Not everyone has the same goals. The new Cribl University is designed to flex — offering structured paths for those who want clear direction, and flexible discovery for those who prefer to explore.
The AI era of data management isn't slowing down, and neither are the demands on the people who make it work. We've always believed certifications are essential markers of real competency. That hasn't changed. But we also know that the path to — and beyond — certification looks different for different people, and that continuous learning is no longer optional when architectures are evolving this fast. The new platform honors both of those realities.
What's new today
A redesigned, intuitive interface with simplified navigation and improved course delivery
Role-tailored and goal based learning paths grounded in the specific outcomes your team is trying to achieve
Improved search, filtering, and sharing
A streamlined certification experience — including easier renewals
A foundation built for how your team actually works — now and as your data architecture evolves
The next generation of Cribl University is live right now. If you're a current learner, log in and take a look around — we think you'll feel the difference immediately. And if you're just starting your Cribl journey, there's never been a better time to begin.
Go explore. The platform is yours.
