Middleware records 35,967 monthly visits with -12.3% month-over-month growth and Freemium, Contact for Pricing pricing. WatchTower records 2,216 monthly visits with +12% growth and Free, Open Source pricing.
Full-stack observability with an AI SRE agent that fixes issues
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
| Dimension / Metric | ||
|---|---|---|
| Official Domain | middleware.io | watch-tower.co |
| Pricing Model | Freemium, Contact for Pricing | Free, Open Source |
| Monthly Visits | 35.97K (35,967) | 2.22K (2,216) |
| MoM Traffic Delta | -5.05K (-12.3%) | +238 (+12%) |
| Primary Market & Share | 🇮🇳 India (27.3%) | 🇮🇳 India (38.8%) |
| Direct Visits / mo | 8.88K | 867 |
| 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.
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
Connect with an AWS access key and secret key, then browse and monitor the DynamoDB tables in your account.
Pick a table and date range to generate clear graphs of provisioned versus consumed capacity, so you can judge whether provisioning is right-sized.
A one-click AI panel uses Amazon Bedrock (Mistral 7B Instruct by default) to turn raw capacity data into written insights and provisioning recommendations.
Optionally save generated analyses and metrics to a DynamoDB table in your own account, then regenerate graphs later to compare trends over time.
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
Free / Open-sourceFree real-time analytics for open source projects on GitHub
Free / Open-sourceFree real-time analytics for open source projects on GitHub
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
Free / Open-sourceThe open-source data layer for robotics and physical AI
AI governance, testing, and observability for regulated enterprises
AI governance, testing, and observability for regulated enterprises
GitHub-native analytics for developer experience and team performance
GitHub-native analytics for developer experience and team performance
SpecialistThe control plane for trusted enterprise agents and models
SpecialistThe 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
