
Asserts
Better, Faster, Cheaper Operational Intelligence for Prometheus & OpenTelemetry

Description
Asserts (now part of Grafana Labs) addresses the challenges of modern observability, where data collection is easy but analysis is often manual, expensive, and complex. Traditional methods struggle with correlating signals across vast amounts of metrics and traces, leading to high storage costs and vendor lock-in. Teams often find it difficult to manage data retention and build effective dashboards.
The platform introduces a layer of automation and intelligence over existing open-source observability data (Prometheus and OpenTelemetry). It features an Intelligent Workbench™ for analyzing metrics and traces to spot issues instantly, Correlation Intelligence™ using an Entity Map and Graph Inference to pinpoint problems, and a Data Distiller™ to drastically cut data ingestion and storage costs by retaining only meaningful information based on statistical baselines. Asserts helps users track SLOs effectively, perform automated root cause analysis by correlating various system signals, and access contextual dashboards without manual creation, ultimately aiming to make operational intelligence more efficient and cost-effective.
Key Features
- Asserts Intelligent Workbench™: Continuously analyzes metrics and traces with curated rules and an intelligent OpenTelemetry Collector.
- Asserts Correlation Intelligence™: Uses an Entity Map and Graph Inference to correlate issues across metrics, traces, and eBPF data.
- Asserts Data Distiller™: Reduces data costs by recording baselines/anomalies and retaining only statistically relevant traces.
- Automated Root Cause Analysis (RCA) Workbench: Correlates Saturations, Amends, Anomalies, Failures, and Errors (SAAFFE) impacting SLOs.
- Integrated SLO Tracking: Directly links SLO dashboards to the Assertion Workbench for faster investigation.
- Contextual Dashboards: Automatically provides relevant dashboards based on the issue context, eliminating manual creation.
Use Cases
- Reducing observability data ingestion and storage costs.
- Accelerating root cause analysis for system issues.
- Monitoring and managing Service Level Objectives (SLOs).
- Improving operational intelligence for cloud-native applications.
- Automating the analysis of Prometheus and OpenTelemetry data.
- Avoiding vendor lock-in for observability solutions.
- Enhancing visibility without manual dashboard configuration.
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