Operations | Monitoring | ITSM | DevOps | Cloud

The manufacturing industry is at a crossroads. With automation and emerging technologies like AI, organizations are eager to make operational and production processes more efficient. However, for many manufacturers, the rapid pace of digitizing legacy infrastructure and systems has also exposed many unanticipated hurdles, with one of the biggest being the convergence between IT and operational technology (OT).

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.

There is more data available to us than ever. Storing this data is important — but deciding on the right type of data storage solution is not so clear. This article explores two primary types of big data storage: data lakes and data warehouses. We’ll examine the benefits of each, then discuss the key differences between a data lake and a data warehouse, so you can decide on the best approach for your business.

In this blog series, we’ll explore how Cribl Stream can leverage your existing cross-domain solution (CDS) to easily collect and send your log and metric data between disparate security domains or across air-gapped networks. The goal is to retain as much fidelity of the data as possible, deduplicating processes and simplifying management efforts.

Imagine this scenario: your platform appears to have an issue. Maybe it has gone down or maybe it has affected a large volume of users or perhaps just a few of those important ones; either way there is a significant problem with it. Users are complaining and are happy to shout about the platform not working on X (formally Twitter).

With M-21-31’s Advanced EL3 requirements now past due, many US Federal Civilian agencies are still looking to close gaps in their Enterprise Logging capabilities. As part of the EL3 requirements, agencies must be finished implementing user behavioral analytics (UBA) that enables: For many organizations that leverage machine learning (ML) to detect anomalous behavior across the network, UBA solutions have become a critical piece of the enterprise security and insider threat puzzle.

The clock is ticking for financial services companies that operate in the European Union (EU). Starting in January 2025, financial services providers and their third-party technology service providers must meet the new regulatory requirements of the Digital Operational Resilience Act (DORA).

For organizations that leverage AWS resources, CloudWatch is a “must-have.” Operations teams leverage data from their AWS environments to identify service issues and maintain availability. By using CloudWatch and its associated products, organizations can monitor their AWS resource usage to optimize their environments.