Reduce observability costs by 90%
ML-powered Intelligent Observability Data Lake
Grepr reduces observability spend by seamlessly integrating an Observability Data Lake. Combining stateful stream processing and real-time machine learning, Grepr automatically reduces noise and ensures the right data is in the right place at the right time.
Lower observability costs without migration
Grepr's dynamic data management automatically adjusts aggregation granularity based on your systems' health to reduce your bill without impacting your MTTR.
Eliminate observability blindspots
By significantly reducing the cost of collecting any piece of data, Grepr enables teams to spend less time worrying about whether they'll have the right data during incident response and more time building their products.
Enable rich analytics and capacity planning with a data lake
Real-time data enrichment and standards-based data storage enables richer analytics and custom processing of your data using any SQL engine (Spark, DuckDB, Trino, etc).
Query all data from multiple observability vendors
Grepr's query federation enables users to query data across multiple observability systems, and correlate it with each other so engineers can troubleshoot faster.
How Grepr works
Grepr is a next-gen observability data engine that routes and transforms data between sources and sinks. We use cutting edge real-time machine learning to summarize and compress data, and increase SNR, while reducing total observability costs. Your raw data is stored in low-cost storage using Apache Iceberg, so it's easily queryable.
Next-gen observability pipelines
Dynamically reconfigurable observability pipelines that respond to the state of your system.
- Centralized observability data management
Filter, parse, transform, and route your observability data from any agent to any tool. Automatically change the rules based on alerts or incidents.
- Unsupervised machine-learning
Grepr automatically understands the patterns of data going through the system and decides whether to summarize it or let it through.
- Optimize observability spend
Automatically increase observability granularity during incidents to collect more data for troubleshooting and reduce it back when troubleshooting ends.
Large-scale, enterprise-ready
Built from the ground up on proven battle-tested technologies. Ready for your enterprise.
- Autoscaling, serverless data processing
Grepr uses cutting-edge infinitely scalable stream processing to process as much data as you throw at it. It scales automatically with load to handle data spikes.
- SOC2 Type II compliance
Security is front and center for Grepr. We went through SOC2 compliance to prove it. Visit our trust center at https://trust.grepr.ai to learn more.
- Single Sign-on with SAML
Support for most SSO providers, including Okta, to simplify user management and compliance.
