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Practical Application for the Sampling Function: ITOps and Kubernetes
Observability Challenges with Kubernetes Kubernetes can be a particularly challenging data source to manage. the transient and ephemeral nature makes the collection of observability metrics quite difficult. Furthermore, platform administrators frequently lack control over the specific logging configurations of each…
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Reducing Missed Events with Cribl Stream
Are you suffering from fear of missing out (FOMO)? It is not uncommon for log outputs to change with vendor updates or internal administrative changes. Data that is parsed incorrectly, or not at all, can lead to missing events in your security and analytic tools. While log format changes are inevitable, Cribl Stream can…
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Best Practices for Reduction with Cribl Packs
At Cribl, we love optimization. You may have come across some of our reduction figures: 50% or even 80%. These numbers may seem hard to believe, leaving you wondering, “How can we achieve these results?” The Pack is an excellent framework to begin with. However, you'll need to adjust these configurations and make some…