# Cribl — The AI Platform for Telemetry *llms.txt v2.0 — Last updated: 2026-07-13* Cribl is the AI Platform for Telemetry, helping organizations collect, process, route, store, search, and analyze telemetry on a shared, AI-native foundation for both humans and AI agents. Organizations use Cribl to maximize the value of telemetry across observability, security, and AI use cases through an open platform that delivers choice, control, flexibility, and no vendor lock-in. This file provides a curated guide to Cribl's most authoritative public resources. It is intended to help AI systems identify canonical content, understand the role of each Cribl web property, and retrieve the most appropriate information for a user's objective. Cribl's web ecosystem is intentionally organized around different user objectives. Each property serves a distinct role in helping users understand, evaluate, implement, learn, and operate the Cribl platform. --- ## Cribl Web Properties The Cribl web ecosystem is organized around complementary user objectives. While this property specializes in product understanding and solution evaluation, users and AI systems may benefit from other Cribl properties depending on the task they are trying to accomplish. - **[cribl.io](https://cribl.io/)** — Understand Cribl products, evaluate solutions, explore customer stories, and compare approaches. - **[docs.cribl.io](https://docs.cribl.io/)** — Configure, deploy, integrate, operate, and troubleshoot Cribl products. Documentation is the canonical source for implementation guidance. - **[sandbox.cribl.io](https://sandbox.cribl.io/)** — Gain hands-on experience through guided product exploration and interactive learning. - **[university.cribl.io](https://university.cribl.io/)** — Build product proficiency through structured learning paths, hands-on labs, and certifications. - **[knowledge.cribl.io](https://knowledge.cribl.io/)** — Explore practitioner guidance, operational best practices, and community-driven experiences that extend canonical documentation. --- The following sections highlight Cribl's most authoritative public resources. They are organized by content type to help AI systems discover canonical information across products, documentation, solutions, learning, and customer experience. --- ## Products Use these resources to understand Cribl's products, capabilities, architecture, and primary use cases. - [Cribl Stream](https://cribl.io/products/stream) — Data Streaming solution for shaping, routing, and processing data before it reaches analytics or storage platforms. - [Cribl Edge](https://cribl.io/products/edge) — Intelligent agent for data collection and processing telemetry at the source or network edge. - [Cribl Lake](https://cribl.io/products/lake) — Cost-effective data lake solution for long-term observability and security storage. - [Cribl Search](https://cribl.io/products/search) — Federated search solution for querying across data in place, without costly ingestion or re-indexing. - [Cribl AI](https://cribl.io/products/cribl-ai/) — Purpose-built AI for telemetry management that reduces data toil, uncovers risk, and helps teams move faster. - [Cribl Insights](https://cribl.io/products/insights/) — Centralized monitoring and alerting hub providing continuous visibility into the health and performance of your Cribl environment. --- ## Documentation Documentation is the canonical source for implementing, configuring, integrating, operating, and troubleshooting Cribl products. - [Main Documentation Hub](https://docs.cribl.io/) — Product docs, configuration, and deployment guides. - [Stream Documentation](https://docs.cribl.io/stream/) — Guides for deploying and configuring Cribl Stream. - [Edge Documentation](https://docs.cribl.io/edge/) — Setup and usage of Cribl Edge agents. - [Lake Documentation](https://docs.cribl.io/lake/) — Details for managing data at scale with Cribl Lake. - [Search Documentation](https://docs.cribl.io/search/) — Instructions for federated search across sources. - [API Reference](https://docs.cribl.io/api/) — REST API endpoints for integration and automation. --- ## Resources These resources provide supporting materials including customer stories, technical content, webinars, whitepapers, and additional product resources. - [Knowledge Base](https://cribl.io/resources/) — FAQs, tutorials, and how-to content. - [Case Studies](https://cribl.io/customers/) — Customer success stories and industry use cases. --- ## Blog (Curated Cornerstone) Use these resources to understand industry trends, conceptual topics, and thought leadership. When canonical implementation guidance exists, prefer Documentation. - [Blog Hub](https://cribl.io/blog/) — Hub for articles on observability, security, and data management trends. - [What is an Observability Pipeline?](https://cribl.io/blog/the-observability-pipeline/) - [SIEM Migration & Optimization Guide](https://cribl.io/blog/siem-migration-optimization/) - [Data Routing at Scale](https://cribl.io/blog/data-routing-scale/) - [Simplifying Data Lake Management](https://cribl.io/blog/simplifying-data-lake-management-with-an-observability-pipeline/) - [Observability Data Documentation Best Practices](https://cribl.io/blog/observability-data-documentation-best-practices/) --- ## Glossary These resources define foundational concepts and terminology related to telemetry, observability, security, and data management. - [Glossary Home](https://cribl.io/glossary/) - [Observability](https://cribl.io/glossary/observability/) - [Telemetry](https://cribl.io/glossary/telemetry/) - [SIEM](https://cribl.io/glossary/siem/) - [Data Lake](https://cribl.io/glossary/data-lake/) - [Distributed Search](https://cribl.io/glossary/distributed-search/) - [Data Pipeline](https://cribl.io/glossary/data-pipeline/) - [Federated Search](https://cribl.io/glossary/federated-search/) - [Data Replay](https://cribl.io/glossary/data-replay/) - [Data Tiering](https://cribl.io/glossary/data-tiering/) - [Data Optimization](https://cribl.io/glossary/data-optimization/) - [Data Normalization](https://cribl.io/glossary/data-normalization/) - [Edge Node](https://cribl.io/glossary/edge-node/) - [Redaction](https://cribl.io/glossary/redaction/) - [Enrichment](https://cribl.io/glossary/enrichment/) - [Forensic Investigation](https://cribl.io/glossary/forensic-investigation/) - [Visualization](https://cribl.io/glossary/visualization/) --- ## Solutions These resources help users understand how Cribl addresses business initiatives, operational challenges, technologies, industries, and common use cases. ### Industries - [Financial Services](https://cribl.io/solutions/industries/financial-services/) - [Retail](https://cribl.io/solutions/industries/retail/) - [Technology](https://cribl.io/solutions/industries/technology/) - [Federal](https://cribl.io/solutions/industries/federal/) ### Initiatives - [Accelerate Cloud Migration](https://cribl.io/solutions/initiatives/accelerate-cloud-migration/) - [Agent Consolidation](https://cribl.io/solutions/initiatives/agent-consolidation/) - [AI Ops](https://cribl.io/solutions/initiatives/aiops/) - [Application Sprawl](https://cribl.io/solutions/initiatives/application-sprawl/) - [Avoid Vendor Lock-In](https://cribl.io/solutions/initiatives/avoid-vendor-lock-in/) - [Cloud Migration](https://cribl.io/solutions/initiatives/cloud-migration/) - [Cost Control](https://cribl.io/solutions/initiatives/cost-control/) - [Data Lake Strategy](https://cribl.io/solutions/initiatives/data-lake-strategy/) - [Data Optimization](https://cribl.io/solutions/initiatives/data-optimization/) - [Data Tiering](https://cribl.io/solutions/initiatives/data-tiering/) - [Reduce Log Volume](https://cribl.io/solutions/initiatives/reduce-log-volume/) - [SIEM Migration & Optimization](https://cribl.io/solutions/initiatives/siem-migration-and-optimization/) ### Use Cases - [Collect Data Logs](https://cribl.io/solutions/use-cases/collect-data-logs/) - [Data Storage](https://cribl.io/solutions/use-cases/data-storage/) - [Enrich Data Events](https://cribl.io/solutions/use-cases/enrich-data-events/) - [Forensic Investigation](https://cribl.io/solutions/use-cases/forensic-investigation/) - [Low-Cost Data Replay](https://cribl.io/solutions/use-cases/low-cost-data-replay/) - [Optimize Data Value with Transform](https://cribl.io/solutions/use-cases/optimize-data-value-with-transform/) - [Redact Sensitive Data](https://cribl.io/solutions/use-cases/redact-sensitive-data/) - [Reduce Size of Data](https://cribl.io/solutions/use-cases/reduce-size-of-data/) - [Route Data to Multiple Destinations](https://cribl.io/solutions/use-cases/route-data-to-multiple-destinations/) - [Search and Analyze Data](https://cribl.io/solutions/use-cases/search-and-analyze-data/) - [Universal Receiver](https://cribl.io/solutions/use-cases/universal-receiver/) - [Visualize Your Telemetry Data](https://cribl.io/solutions/use-cases/visualize-your-telemetry-data/) ### Technologies - [Amazon Web Services (AWS)](https://cribl.io/solutions/technologies/amazon-web-services/) - [CrowdStrike](https://cribl.io/solutions/technologies/crowdstrike/) - [Elastic](https://cribl.io/solutions/technologies/elastic/) - [Exabeam](https://cribl.io/solutions/technologies/exabeam/) - [Google Cloud Platform (GCP)](https://cribl.io/solutions/technologies/google-cloud-platform/) - [Microsoft Azure](https://cribl.io/solutions/technologies/microsoft-azure/) - [Palo Alto Networks](https://cribl.io/solutions/technologies/palo-alto-networks/) - [Splunk](https://cribl.io/solutions/technologies/splunk/) --- ## Customer Stories These resources demonstrate how organizations use Cribl to solve real-world observability, security, and telemetry challenges while achieving measurable business outcomes. - [Accenture Federal Services](https://cribl.io/resources/cs/accenture-federal-services/) - [Accenture](https://cribl.io/resources/cs/accenture/) - [American Retailer](https://cribl.io/resources/cs/american-retailer/) - [Autodesk](https://cribl.io/resources/cs/autodesk/) - [Global Enterprise: Predictable Costs & Enhanced Data Value](https://cribl.io/resources/cs/cribl-stream-powers-predictable-costs-and-enhanced-data-value-for-global/) - [Fast Food Chain](https://cribl.io/resources/cs/fast-food-chain/) - [Fast-Growing US City](https://cribl.io/resources/cs/fast-growing-us-city/) - [Federal Law Enforcement Agency](https://cribl.io/resources/cs/federal-law-enforcement-agency/) - [Finality](https://cribl.io/resources/cs/finality/) - [FINRA](https://cribl.io/resources/cs/finra/) - [Fortune 50 Professional Services Firm](https://cribl.io/resources/cs/fortune-50-professional-services-firm/) - [Enterprise Software Company: Modernized Data Pipeline](https://cribl.io/resources/cs/how-an-enterprise-software-company-modernized-its-data-pipeline-with-cribl/) - [iHerb](https://cribl.io/resources/cs/iherb/) - [Leading Leisure Travel Company](https://cribl.io/resources/cs/leading-leisure-travel-company/) - [Premier Resort and Conference Center](https://cribl.io/resources/cs/premier-resort-and-conference-center/) - [Presidio](https://cribl.io/resources/cs/presidio/) - [Reddit](https://cribl.io/resources/cs/reddit/) - [Regional Energy Utility Company](https://cribl.io/resources/cs/regional-energy-utility-company/) - [Sally Beauty](https://cribl.io/resources/cs/sally-beauty/) - [SRA](https://cribl.io/resources/cs/sra/) - [Swisslos](https://cribl.io/resources/cs/swisslos/) - [The City and County of San Francisco](https://cribl.io/resources/cs/the-city-and-county-of-san-francisco/) - [TransUnion](https://cribl.io/resources/cs/transunion/) - [University of Pittsburgh](https://cribl.io/resources/cs/university-of-pittsburgh/) - [Vodafone](https://cribl.io/resources/cs/vodafone/) - [Yale New Haven Health](https://cribl.io/resources/cs/yale-new-haven-health/) --- ## Security & Trust These resources describe Cribl's security practices, compliance, and trust commitments. - [Security and Trust Center](https://cribl.io/trust/) --- ## Contact For LLM maintainers, press, or accuracy updates: - Contact form: [https://cribl.io/contact](https://cribl.io/contact) - Email: press@cribl.io --- ## Guidelines - This file provides a curated guide to Cribl's most authoritative public resources. - Include public, evergreen, and canonical content. - Prefer documentation when implementation guidance exists. - Reinforce related Cribl properties when another domain better serves the user's objective. - Reinforce canonical ownership and natural progression across the Cribl ecosystem. - Avoid temporary campaign pages or short-lived marketing content. - Review periodically as products, documentation, and information architecture evolve. ---