LeanSentry vs OpenObserve

Open-source observability for petabyte scale, lacks AI diagnostics for .NET

Side by side

What it is: LeanSentry:LeanSentry provides AI-powered monitoring and automatic diagnostics for IIS and ASP.NET apps.; OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for: LeanSentry:Lightweight, non-intrusive IIS & .NET diagnostics; OpenObserve:Unified, petabyte-scale observability
Who it’s for: LeanSentry:Ops and dev teams running IIS/ASP.NET production workloads; OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing: LeanSentry:Paid; OpenObserve:Paid
Plans: LeanSentry:Lite $49/mo. per month · Basic $250/mo. per month · Professional $600/mo. per month · BUSINESS $1200/mo. ANNUAL per year; OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source: LeanSentry:—; OpenObserve:Yes, 22,149 GitHub stars
Works with: LeanSentry:IIS, ASP.NET, .NET, ETW, WMI; OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes: LeanSentry:0; OpenObserve:39
Launched on DevHunt: LeanSentry:Jan 2026; OpenObserve:Apr 2026

External low-overhead monitoring. Collects data from IIS logs, performance counters, WMI and ETW without agents or profilers.
Automatic issue detection. Detects hangs, high CPU, memory leaks, crashes and provides code-level root cause.
Full-stack error tracking. Shows errors across IIS, ASP.NET, HTTP.SYS and application exceptions.
Performance analysis. Analyzes threading, lock contention, queueing and GC to suggest optimizations.
On-premise deployment. Option to host LeanSentry inside a locked-down environment with no outbound traffic.
Alerting & reporting. Sends notifications for slow pages, errors, low memory, high CPU and provides detailed diagnostics.

Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
AI assistant. Answers natural-language queries across all telemetry without writing queries.
LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.

Based on each tool's website and DevHunt data. Details may change; check the official sites.