Middleware records 35,967 monthly visits with -12.3% month-over-month growth and Freemium, Contact for Pricing pricing. Oberhahn records 633 monthly visits with -70.9% growth and Free Trial, Paid, Contact for Pricing pricing.
Full-stack observability with an AI SRE agent that fixes issues
Know exactly what your AI spend bought.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | middleware.io | oberhahn.com |
| Pricing Model | Freemium, Contact for Pricing | Free Trial, Paid, Contact for Pricing |
| Monthly Visits | 35.97K (35,967) | 633 (633) |
| MoM Traffic Delta | -5.05K (-12.3%) | -1.54K (-70.9%) |
| Primary Market & Share | 🇮🇳 India (27.3%) | 🇵🇰 Pakistan (90.7%) |
| Direct Visits / mo | 8.88K | 259 |
| User Rating | 4.3 | 4.2 |
| 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.
Know exactly what your AI spend bought.
Connect coding assistants, agents, trackers and orchestration layers once, then watch every usage event flow into a single normalized ledger with no manual reconciliation.
See projected month-end spend, cost per session, spend per user, context-window use and an efficiency score, broken out by the source driving each dollar.
Every session links to real Linear, Jira or GitHub issues, so you can read cost per estimate point and see what shipped versus what sank.
Oberhahn flags oversized models, cache misses, runaway sessions and duplicate workflows, each ranked by the spend it affects so you know what to investigate first.
Unified observability, security and incident response for cloud-scale engineering teams
Unified 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
AI workforce analytics that turn monitoring data into productivity and cost decisions.
AI workforce analytics that turn monitoring data into productivity and cost decisions.
AI value measurement platform connecting AI spend to real business outcomes
AI value measurement platform connecting AI spend to real business outcomes
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
The control plane for trusted enterprise agents and models
The control plane for trusted enterprise agents and models
Find and fix problems in your AI agents before users do
Find and fix problems in your AI agents before users do
Software engineering intelligence that ties AI adoption to delivery outcomes
Software engineering intelligence that ties AI adoption to delivery outcomes
