Centralized logging without the suffering
Stop white-knuckling telemetry for the whole org. Cribl gives your team scalable AI driven pipelines, governed self-service, and AI copilots give you even more time back for strategic work.
The Challenge
Your team owns the logging process and stack for the entire enterprise — monolithic tools and processes turn you into gatekeepers, while app teams spin up shadow logging just to see their own data. Meanwhile, AI deployments are bringing a whole new array of telemetry challenges, at speed. The result: inconsistent standards, rising risk, and everyone blaming the logging team.
The Solution
Deliver Telemetry-as-a-service to enable teams to do what they do best. Developers maintain focus on innovation. Centralized logging teams become a Center of Excellence by delivering compliance and log visibility to developers, while enabling AI deployment that retains control and visibility.
Better developer experience, faster innovation by focusing on delivering new services that are critical to your business. App teams can get visibility to the logs they designed, without having to become part-time log wranglers and compliance experts.
Create value across the organization by defining a logging Center of Excellence the accelerates innovation, and delivers on board-level concerns. Cribl helps you convert that strategy into reality - from data collection, to transforming data to deliver more insight and increase compliance and AI readiness.
Every team is different, but you need a centralized way to deliver value to app teams and the business. With Cribl, you can create a telemetry-as-a-service model for centralized logging. Cribl is designed to enable different teams to have their own workspace, while centralized logging practices are automatically applied even as you scale AI deployments.
Create cost savings breakthroughs at every turn. Reduce effort through an automated control plane. Improve developer efficiency (and satisfaction) by focusing on innovation. Optimize storage and ingest costs across the company, and ensure developer token costs don’t fly out of control.
Guides
Central logging teams take the telemetry toil off developers while making sure that telemetry is optimized for usability and compliance. Learn more about what it takes to be a top-tier central logging team.
Go from monolithic stacks to telemetry as a shared service with OTel and Cribl. Read the guide to learn what a scalable, OTel-first architecture looks like, and what steps you need to take to get there.
Using Cribl.Cloud, onboarding telemetry from new apps and infrastructure is easy and repeatable. Provide golden pipelines and offer workspaces for teams to build their own pipelines.
Shape telemetry to mask PII and API keys, add business context, convert to specific formats and reduce repeated events to enable better visibility, improve performance, and enable effective AI initiatives.
Route telemetry to the Observability tools and SIEMs that analyze that data. Move data into datasets that can be used for search - from capacity planning to threat hunting.
Enable application teams to search through their logs to spot performance improvements, debug their systems, and assess security threats.
AI Telemetry
AI is adding more telemetry, more cost, and more ways for things to get messy fast. Cribl helps ITOps and InfraOps teams turn logging into a governed shared service, with centralized control, safe self-service, and telemetry that’s clean enough, cheap enough, and structured enough to support AI across the business.
Cribl gives centralized logging teams a vendor-neutral control plane for AI application and model telemetry including prompts, responses, agent and tool-call traces, and usage data. With multi-tenant workspaces, reusable patterns, and built-in governance, they can support more AI initiatives without becoming the bottleneck everyone complains about.
Cribl helps central teams manage the growing volume and sensitivity of AI application and model telemetry including prompts, responses, agent and tool-call traces, token usage, and inference metadata. They can mask sensitive data, add context, reduce noise, and route each signal where it belongs, spending less time hand-holding pipelines and more time preparing the organization for AI at scale.
AI Observability
AI is generating a whole new category of telemetry, and most orgs still can’t clearly see who’s using what, what it costs, or where the risk is hiding. Cribl helps shared-service teams capture and manage that AI exhaust so they can give the business an audit trail, better cost visibility, and a cleaner path to AI observability without bolting on more chaos.
Cribl Apps
Central logging teams don’t need another rigid UI or another custom tool to maintain forever. They need fit-for-purpose workflows for onboarding, troubleshooting, AI observability, and admin tasks that run on the same shared telemetry foundation. Apps on the Cribl platform let teams start with an app that already fits, like the Cribl App for AI Observability, or build one fast with natural language prompts.
Customer success story
"Our top people used to be charged with onboarding data. Now the smart people are freed up to tackle big architecture challenges and lower level folks can onboard data."
Scott Burger
Lead Security Data Engineer, ServiceNow
Resources
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