Log analytics solutions used to require seeing all of the data regardless of whether it was worth analyzing or not. Cribl LogStream changed this by helping you determine what data was analytics-worthy and what data was best served by being put to rest in a lower-cost storage system or dropped altogether. But what happens when you need to analyze data at rest at a later point in time? With the introduction of Cribl LogStream 2.2, we have you covered.
LogStream helps you route the most valuable security and observability data to the tool you need in real-time. With 2.2 you can also collect data from storage locations like S3, data lakes or file systems and “replay” them by routing them to an analytics tool. If you need to analyze data at a later date, LogStream 2.2 can collect it, shape it and send it to the right tool. Putting log data in lower cost locations until you need to analyze it, if ever, can help you dramatically reduce your data ingestion into analytics tools and substantially reduce data retention.
Watch this webcast to learn more about the new best practice for observability – batch log processing.