The latest News and Information on Log Management, Log Analytics and related technologies.
Around 70% of companies experienced cyberattacks in the past year. With this increase in cyberattacks, the importance of log management in IT security has also increased over the years. That’s the reason why small and enterprise businesses have started to invest in log management tools to protect their businesses from cybersecurity breaches.
As applications in the cloud become more distributed and complex, the Mean Time To Resolution (MTTR) for production issues is getting longer. Modern systems are built with hundreds of distinct, ephemeral, and interconnected cloud components, which can make it exceptionally hard for engineers to understand the current state of their applications, what problems are impacting customers, and why those problems are occurring.
In the ever-evolving landscape of data integration and architecture, organizations grapple with many challenges, from controlling exponentially growing observability data to the complexities driven by hybrid clouds, data migrations, integration of new AI/ML services, and the need for swift time-to-market strategies.
Cribl Stream is a real-time security and observability data processing pipeline that can be used to collect, transform, enrich, reduce, redact, and route data from a variety of sources to a variety of destinations. One of the popular destinations for Cribl users is Elastic SIEM. This blog post will walk you through the steps on how to set up Cribl Stream to normalize and forward data to use with Elastic Security for SIEM.