Operations | Monitoring | ITSM | DevOps | Cloud

How AI Agents automate incident response #ai #cybersecurity #telemetry

Clint Sharp demonstrates how Cribl Search leverages AI to streamline incident investigation. Starting from a Slack channel, the AI builds an interactive notebook, analyzes order processing logs, and identifies suspicious traffic spikes. It connects high CPU usage to a recent Jenkins deployment, hypothesizing a supply chain attack, and ultimately recommends a rollback. This isn't a far off concept. It is the future of operations arriving right now.

Why AI agents need a common data model #ai #telemetry

Clint Sharp explains why a common model like OCSF is critical for the future of AI. Agents need standardized data to analyze information effectively on your behalf. He contrasts the traditional manual workflow of checking Slack, tickets, and wikis while asking colleagues with a future where AI fuses this human context with machine data. Instead of just search results, AI agents will hand you examined hypotheses so you know exactly where to take your investigation.

Agentic AI demands a new data architecture #ai #telemetry

Clint Sharp explains why traditional schema-on-read systems cannot handle the query loads of the future. Agentic telemetry requires a 360-degree view, but structuring data only when you read it is too slow for AI-driven workloads. The solution is using LLMs to drive the cost of building parsers to near zero. Tools like Copilot Editor allow teams to map data to OCSF instantly, effectively building factories of parsers to handle the scale of agentic AI.

Become a 10x investigator with Cribl Notebooks

Cribl Notebooks aims to streamline the investigation process by bringing everything into a single interactive interface. It functions as a virtual war room where teams can collaborate in real time. You can view AI queries and code alongside charts without switching between scattered tabs or workstations. This persistence makes it easier to document the root cause and share the story behind the data.

Why FedRAMP In Process Matters for Federal Customers

Chris Ebley from Blackwood explains why FedRAMP In Process is a major milestone. It gives federal teams confidence that the product can handle sensitive data, meets strict security controls, and comes from a company committed to operating at the maturity level the government expects. This opens new go to market opportunities and makes it easier for agencies to move forward with Cribl.

Why Cribl Lake Delivers the Best Price Performance for AI Workloads #ai #telemetry

CMO Abby Strong explains how Cribl Lake is built for the real demands of modern AI. You get fast storage for high performance workloads and efficient architecture that scales without blowing up your budget. A smarter foundation for the AI era.

AI Agents Need Structured Telemetry. Are You Preparing? #telemetry #ai

Clint Sharp breaks down the shift from traditional observability to AI ready telemetry. Agents need well formed fields, consistent schemas, and predictable data models. If your environment is full of unstructured logs, agents will give inconsistent answers. The work starts now so your AI future can actually deliver value later.