Splunk ITSI is an AIOps solution that correlates and applies machine learning to all data for real-time, predictive performance monitoring and integrated IT management workflows. This enables teams to prevent incidents before they impact the business, and detect, respond and resolve incidents all from one place.

In this Community Call, Senior Software Engineer Christian Haudum talks to us about bloom filter changes for Grafana Loki, including the deprecation of the bloom compactor and a pivot towards creating bloom filters for structured metadata. Bloom filters are a probabilistic data structure that we're using to improve query performance in Loki. Community Calls are monthly meetings that are open to everyone interested in the development of Loki. They are an opportunity for software engineers working on Loki to discuss new features as well as for open-source users of Loki to ask questions.

Splunk customers share how our technical experts have helped them drive business outcomes across security and observability application's.

Our customer's share how they feel about Splunk Customer success and how we support them through many different ways.