Why Observe?
Performance at Scale
Ingest 100s of TB of telemetry per day without degrading performance.
3x Faster Troubleshooting
Resolve incidents faster, cut MTTR, and eliminate the on-call fire drill.
70% Lower Cost
Scale efficiently as telemetry grows, without the cost and lock-in of legacy vendors.
The benefits of a
modern architecture
Performance at Scale
Observe structures telemetry in the O11y Knowledge Graph to accelerate search, analytics, and correlation at scale.
The O11y Knowledge Graph builds semantic relationships, materialized views, and token indexes to speed up queries on telemetry stored in columnar tables.
Coupled with a real-time ingest pipeline and elastic compute that scales on demand, Observe delivers consistent performance as data volume grows.
Customers ingest 100s of TBs and run 10s of millions of queries per day, enabling them to support multiple teams and use cases on Observe.
The benefits of performance at scale
- 01Snappy dashboards for troubleshooting real-time incidents
- 02Future-proof your observability with a solution that scales with you
- 03Free up engineering time spent on performance tuning and capacity planning
Faster Troubleshooting
Chat with O11y AI to investigate and root cause issues. Drill and pivot effortlessly across logs, metrics, and traces.
O11y AI Investigator helps plan, gather relevant data, and suggest actions as you troubleshoot, so you don't have to.
Move from alerts to dashboards to logs to metrics to traces leveraging the O11y Knowledge Graph. This makes navigating to related context—from Customers to Sessions to Pods—during an investigation a breeze.
The benefits of
faster troubleshooting
- 01Fewer interruptions, more productive engineers
- 02Less time to resolve incidents = happy customers
- 03Less time on incident calls = happy teams
Lower Cost
Observe ingests all data into a data lake based on low-cost cloud storage and open standards.
Data is compressed 10x and is always hot, eliminating the need for archiving or storage tiering.
All compute required to run queries is elastic, so you only pay for what you use.
Using open standards like OpenTelemetry and Apache Iceberg, you can reuse telemetry across use cases and avoid vendor lock-in.
The benefits of lower cost with an open data lake
- 01Ingest and retain more data to avoid blind spots
- 02Never have to rehydrate data from cold tiers
- 03Scale without breaking the bank
- 04You own your data, not your tools vendor
