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Learn more ›Evolving demands placed on IT and Security teams are driving a new architecture for how observability data is captured, curated, and queried. This new architecture provides flexibility and control while managing the costs of increasing data volumes.
Read white paper ›Cribl Stream is a vendor-agnostic observability pipeline that gives you the flexibility to collect, reduce, enrich, normalize, and route data from any source to any destination within your existing data infrastructure.
Learn more ›Cribl Edge provides an intelligent, highly scalable edge-based data collection system for logs, metrics, and application data.
Learn more ›Cribl Search turns the traditional search process on its head, allowing users to search data in place without having to collect/store first.
Learn more ›Cribl Lake is a turnkey data lake solution that takes just minutes to get up and running — no data expertise needed. Leverage open formats, unified security with rich access controls, and central access to all IT and security data.
Learn more ›The Cribl.Cloud platform gets you up and running fast without the hassle of running infrastructure.
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The fastest and easiest way to realize the value of an observability ecosystem.
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Learn more ›AppScope gives operators the visibility they need into application behavior, metrics and events with no configuration and no agent required.
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Sally Beauty Swaps LogStash and Syslog-ng with Cribl.Cloud for a Resilient Security and Observability Pipeline
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Talk to an Expert ›Observability is the practice of measuring the state of a system based on external output using metrics, logs, and traces. It is the evolution of monitoring, as it helps you learn about your IT environment’s critical aspects and discover potential problems before they arise.
Observability transforms the speed, cost, and efficiency of your machines. While Observability benefits most enterprises, the amount of observability employed should be determined by your business needs.
Your enterprise’s business goals include strong security, high-service stability, monitoring tools, and increased customer experience. To understand how you’re meeting those goals, you must collect and analyze data correlated with your desired outcomes.
You can start by collecting and analyzing the three main components of Observability – metrics, logs, and traces. For example, organizations collect data from different data sources and analyze it with the proper observability tools and in the right format to have a comprehensive view of how your environment is performing.
With an observability pipeline, you can take data from any source and route it to any tool. Put data where it has the most value. Route data to the best tool for the job — or all the tools for the job.
An observability pipeline can help you reduce less-valuable data before you pay to analyze or store it. This process can help you dramatically slash costs, eliminate null fields, remove duplicate data, and drop fields you’ll never analyze. Using an observability pipeline means you keep all the data you need and only pay to analyze and store what’s important to you now.
Take the data you have and format it for any destination, without having to add new agents. By transforming the data you already have, and sending it to the tools your teams use, this increases flexibility without incurring the cost and effort of recollecting and storing the same data multiple times in different formats.
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