Operations | Monitoring | ITSM | DevOps | Cloud

Cloud Data Warehouses (CDW) were designed to support business intelligence use cases focused on historical data analysis, but less so on “what is happening now?” class of queries. We think operational analytics are the next big focus and we want to discuss the space and how enterprises will connect their operational data to these new tools to get results right now instead of next week.

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Defining a Path Towards Observability.

Shortly before the December holidays, a vulnerability in the ubiquitous Log4J library arrived like the Grinch, Scrooge, and Krampus rolled into one monstrous bundle of Christmas misery. Log4J maintainers went to work patching the exploit, and security teams scrambled to protect millions of exposed applications before they got owned. At Cribl, we put together multiple resources to help security teams detect and prevent the Log4J vulnerability using LogStream.

Intro to Cribl LogStream Deployment Architectures.

Using LogStream to help with #Log4Shell detection, enrichment, and incident response.

Intro to Cribl LogStream Deployment Architectures.

Using syslog with LogStream.

Using AWS data with LogStream.

Enterprises leveraging Splunk for data ingestion and analytics need an observability solution that scales well with their business requirements and provides a cost-effective way to retain data long-term. Cribl LogStream is an essential part of observability, providing a pipeline that works with all tooling, keeps costs down, and scales with any business – making it the perfect complement to Splunk.