Nimbus
Nimbus is an observability optimization platform that reduces log volumes and costs by analyzing incoming telemetry data and generating one-click transformations that can cut event volume by over 100X without dropping data. The platform integrates with existing agents via just four lines of configuration change and operates out of band to avoid impacting application latency. It includes a smart bypass system that preserves error logs by default, with customizable global or per-optimization bypass patterns.
- Developer Tools
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Engineering teams face escalating observability costs as log volumes grow with application complexity, making it difficult to maintain comprehensive monitoring without exceeding budget. Traditional log management approaches require teams to choose between paying for excessive data or losing visibility by dropping or sampling logs, creating a tradeoff between cost efficiency and operational insight.
Solution
Nimbus provides an observability optimization platform that sits between existing agents and upstream tools, analyzing incoming log data to identify patterns and recommend transformations that reduce volume without sacrificing fidelity. The platform integrates with existing agent configurations—requiring only four lines of change—and automatically scans all incoming logs to identify common patterns and optimization opportunities while forwarding data upstream. Users can apply recommended optimizations in a single click, with the system continuously monitoring traffic to keep volumes reduced over time. Nimbus's intelligent traffic analysis operates out of band, ensuring no impact on application latency, and its optimization engine generates transformations that can reduce event volume by over 100X without dropping data. The platform includes a smart bypass mechanism that prevents error logs from being aggregated by default, with customizable global or per-optimization bypass patterns to protect critical events.
Target Audience
Primary customers are engineering and DevOps teams at data-intensive companies using observability platforms like Datadog who need to control log costs while maintaining full operational visibility.
Features
- Agent-agnostic integration requiring only four lines of configuration change to existing observability agents
- Out-of-band traffic analysis that scans all logs without impacting application latency
- Pattern recognition engine that identifies similar log groups and generates recommended transformations
- One-click optimization application that reduces event volume by over 100X without data loss
- Smart bypass system that preserves error logs and supports customizable global or per-optimization bypass patterns
- Continuous monitoring to ensure log volumes stay reduced after initial optimization