The latest News and Information on Log Management, Log Analytics and related technologies.
With 2023 drawing to a close, the final OpenObservability Talks of the year focused on what happened this year in open source, DevOps, observability and more, with an eye towards the future. I was delighted to be joined by a special guest, Kelsey Hightower, a renowned figure in the tech community, especially known for his contributions to the Kubernetes ecosystem.
Understanding the expected behavior of the Splunk Load Balanced (Splunk LB) Destination when Splunk indexers are blocking involves complex logic. While existing documentation provides details into how the load-balancing algorithm works, this blog post dives into how a Splunk LB Destination sends events downstream and explains the intricacies of blocking vs. queuing when multiple targets (i.e., indexers) are involved.
There are several reasons for creating a highly efficient and performant database in the current web era. RocksDB is an embedded key-value store designed for efficient data storage and retrieval. It is an open-source database engine developed by Facebook, which builds upon the strengths of LevelDB while incorporating several enhancements for durability, scalability, and performance.
Audit finds that there are 1,200+ government AI use cases in development and in use today.
Welcome to Part 2 of the “Concise guide to Loki,” a multi-part series where I cover some of the most important topics around our favorite logging database: Grafana Loki. As I reflect on the fifth anniversary of Loki, it felt like a good opportunity to summarize some of the important parts of how it works, how it’s built, how to run it, etc. And as the name of the series suggests, I’m doing it as concisely as I can.
Large-scale organizations typically collect and manage millions of logs a day from various services. Within these orgs, many different teams may set up processing pipelines to modify and enrich logs for security monitoring, compliance audits, and DevOps. Datadog Log Pipeline let you ingest logs from your entire stack, parse and enrich them with contextual information, add tags for usage attribution, generate metrics, and quickly identify log anomalies.
