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. Openlayer records 48,415 monthly visits with -6.4% growth and Freemium, Contact for Pricing pricing.
Full-stack observability with an AI SRE agent that fixes issues
| Dimension / Metric | ||
|---|---|---|
| Official Domain | middleware.io | openlayer.com |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 35.97K (35,967) | 48.42K (48,415) |
| MoM Traffic Delta | -5.05K (-12.3%) | -3.3K (-6.4%) |
| Primary Market & Share | 🇮🇳 India (27.3%) | 🇺🇸 United States (44.1%) |
| Direct Visits / mo | 8.88K | 25.94K |
| 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.
AI governance, testing, and observability for regulated enterprises
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
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

SpecialistAttack-led AI security testing and red teaming
SpecialistAttack-led AI security testing and red teaming

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
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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

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SpecialistThe control plane for trusted enterprise agents and models

Find and fix problems in your AI agents before users do
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Enterprise AI governance platform for agents, models, and vendors

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

Collaborative platform to build, test, and monitor LLM features
Collaborative platform to build, test, and monitor LLM features