SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
Middleware records 35,967 monthly visits with -12.3% month-over-month growth and Freemium, Contact for Pricing pricing. Raindrop records 42,807 monthly visits with -18.4% growth and Free Trial, Paid, Contact for Pricing pricing.
Full-stack observability with an AI SRE agent that fixes issues
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | middleware.io | raindrop.ai |
| Pricing Model | Freemium, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 35.97K (35,967) | 42.81K (42,807) |
| MoM Traffic Delta | -5.05K (-12.3%) | -9.63K (-18.4%) |
| Primary Market & Share | 🇮🇳 India (27.3%) | 🇺🇸 United States (77.1%) |
| Direct Visits / mo | 8.88K | 23.55K |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
Full-stack observability with an AI SRE agent that fixes issues
An AI agent that detects, investigates, and helps auto-fix production issues across infrastructure, APM and RUM signals.
Monitor servers, containers, serverless workloads and cloud services across AWS, Azure, GCP and Kubernetes from one place.
Correlate and query high-volume logs assisted by AI so debugging does not rely on manual grep-style detective work.
Track application performance, trace slow requests, and inspect database and endpoint behaviour end to end.

Find and fix problems in your AI agents before users do
See every message, tool call and decision in a run, with inputs, outputs and durations, so you can pinpoint where a run broke down.
Recurring failures are grouped into issues with severity, affected users, last-seen time and a confidence score, instead of scattered alerts.
An agent investigates issues and automates follow-up across Slack, the web app and MCP, so debugging happens where your team already works.
Run scenarios against a change on a pull request and compare results with real traffic to catch regressions before merge.
SpecialistUnified observability, security and incident response for cloud-scale engineering teams
SpecialistUnified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

SpecialistThe collaboration layer for AI engineering teams
SpecialistThe collaboration layer for AI engineering teams

Standardize LLM evaluation, observability, and red teaming across your whole org
Standardize LLM evaluation, observability, and red teaming across your whole org

Automated QA, simulation and observability for voice and chat AI agents
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises

Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them
Free / Open-sourceOpen-source observability that finds your AI agent's failures — and fixes them

SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe control plane for trusted enterprise agents and models

Observe, evaluate and monitor AI agents in production
Observe, evaluate and monitor AI agents in production

Free / Open-sourceOpen-source observability that turns AI agent production failures into tested fixes
Free / Open-sourceOpen-source observability that turns AI agent production failures into tested fixes