We're pleased to unveil our v1.1 release with several new capabilities and a host of new features This version of Cribl LogStream continues our promise to deliver unique intelligence, control and compliance over your logs and metrics data in real-time. It puts the admins in control and gives users the right data, with the right context, delivered to the … Continue reading Introducing Cribl LogStream v1.1 →

A very popular use-cases for Cribl is routing of data to the best possible store. Given the types, costs and complexity of managing data at scale, there is no single store which is appropriate for all. Some events belong in a real-time system, some others may need to be routed to a batch analytics store, and yet another … Continue reading Routing Full Fidelity and Sampling Data with Cribl →

We're delighted to officially announce today the general availability of Cribl LogStream! Cribl LogStream delivers unique intelligence, control and compliance over your logs and metrics data in real-time. It puts the admins in control and gives users the right data, with the right context, delivered to the right systems to enable operations, security and analytics … Continue reading Introducing Cribl LogStream →

Adding context with lookups is an awesome way to enrich your operational data. Whether you're running simple searches or reporting on your events the more information they carry, the greater their utility. For example, if proxy or firewall logs indicate that an internal host is communicating with an external address that is known to be compromised, … Continue reading Enriching Data in Motion with Ingest-Time Lookups →

One of the key problems with creating a centralized repository of logs is it also creates a single place where attackers can get to sensitive information. Whether that's implementation details like network traffic or sensitive information like usernames, API keys or social security numbers. A common requirement, especially in the context of regulations like GDPR, is to minimize … Continue reading Anonymizing Data with Cribl →

The need for operational & performance visibility grows at least linearly with your infrastucutre sprawl; The more data your VMs, containers, APIs, apps, services, users, etc. emit, the greater the impact on the performance and the user experience of the analysis system. In theory this problem is easy to solve; simply scale the analysis system … Continue reading Sampling for Added Visibility and Efficiency →