NetOps observability for always-on hybrid networks
Networks never stop generating data, but more data doesn’t always mean better visibility. As the AI platform for telemetry, Cribl puts NetOps back in control with one place to collect, route, and make sense of telemetry across the teams and tools that keep the network running.
The Challenge
NetOps is accountable for uptime across SD-WAN, campus, data center, edge, and cloud. But the telemetry they need to protect is scattered across collectors, tools, and teams. When something slows down or breaks, teams are left stitching together packet, flow, and app context by hand – while the clock is already running.
The result? NetOps is "guilty until proven innocent" during outages, security incidents, and performance issues. And as AI initiatives demand clean, governed, and well-structured telemetry, fragmented data isn't just an ops problem – it's an enterprise-wide strategic threat.
The Solution
Cribl changes the equation. NetOps becomes the team that makes the business move faster, not the one holding up the next app rollout or AI initiative because telemetry plumbing takes months.
Collect from network, cloud, and security sources once and get it to every tool and team that needs it — shaped, enriched, and ready to use. One data foundation. Faster investigations. Operations that are ready for AI, not waiting on it.
Cribl aggregates L2 to L7 metadata, flows, traps, logs, and cloud telemetry into a consistent model that NetOps, SecOps, and SREs can all work from. No more finger-pointing.
Send the right telemetry to NPM, SIEM, APM, event and incident management tools, data lakes, and AI platforms from one control plane, so each team gets what it needs without creating another fragile feed to maintain.
Filter, sample, aggregate, and enrich high-volume network data before it hits expensive tools, while keeping history searchable and replayable for incidents, audits, and questions.
Support new sites, network vendors, cloud services, security tools, and AI workflows by updating routing and policy centrally instead of touching every exporter, collector, parser, or dashboard.
Bring SNMP, syslog, NetFlow, VPC flow logs, SD-WAN analytics, streaming telemetry, and cloud data into one control plane.
Shape high-volume telemetry in motion before it reaches NPM, SIEM, APM, data lakes, or AI platforms.
Use Cribl Search to query historical network telemetry where it lives, without ingesting everything into premium tools first.
Normalize, enrich, and mask telemetry so NetOps, SecOps, SREs, and AI workflows can work from trusted data.
Customer success story
"It lets us do some very strong fundamental things like separate data producers from data consumers. So, no longer are we tightly coupled from the application to the visibility and observability data."
Karl Fosberg
Senior Director, Systems Integration
Customer success story
"Like many companies out there, our telemetry volume continues to increase. It’s expensive, unwieldy, and hard to weed through to identify what’s really important. We’re up to a few hundred TB/day in terms of logs generated, but with Cribl, we’re able to intelligently curate the data that we’re sending to our monitoring tools, helping us to save effort and budget."
Senior Manager
SRT Group

Customer success story
"The very first problem that was solved for us was firewall log reduction in terms of footprint and license consumption. And it was around about the 50% mark."
Brandon Gagliardi
Staff Security Engineer, Nutanix
Customer success story
“The value-add is significant; this is a much more effective way of working. Because we’re able to process all these different log types, the universe of potential alerts has become much larger, and we can better identify the most critical issues.”
Govardhanen “Gov” Gopal
Principal Technologist / SR

Customer success story
"Tapping into the logs to see real-time volume and events per second really helps us with troubleshooting. Being able to see bytes per second now vs the weekend or other times has been helpful for trending and planning."
Senior Technical Product Manager

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