Middleware Observability Platform

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Full-stack observability that unifies APM, logs, infrastructure, RUM, synthetics, databases, and LLM monitoring with an AI SRE agent.

Site:https://middleware.io/

Adicionado em:13 de jul. de 2026

Visitantes mensais:

42.8K

Redes sociais e e-mail:

observabilityfull-stack monitoringAPMAI SRElog monitoringinfrastructure monitoring

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Informações da ferramenta

O que é Middleware Observability Platform?

Middleware Observability Platform is a full-stack observability platform that continuously monitors applications, infrastructure, databases, containers, logs, RUM, synthetics, and LLMs. It uses OpsAI, an AI SRE agent, to detect, diagnose, correlate, and automatically remediate issues before users are affected, bringing APM, logs, infrastructure, RUM, synthetics, databases, and LLM monitoring onto one timeline.

Recursos principais

OpsAI SRE Agent
Continuously monitors applications, infrastructure, databases, containers, logs, RUM, synthetics, and LLMs to detect anomalies in real time; correlates signals, pinpoints root causes, suggests fixes, surfaces high-priority incidents, reduces MTTR, and automates remediation.
Infrastructure Monitoring
Deploys observability with auto-instrumentation across infrastructure, applications, databases, Kubernetes, and Linux; visualizes infrastructure health in real time and correlates spikes with application impact.
Application Performance Monitoring (APM)
Tracks real-time spans, identifies latency bottlenecks, correlates traces across APIs and databases, and uses continuous profiling and live monitoring to resolve backend performance issues.
Log Monitoring
Correlates logs, traces, and metrics for one-click troubleshooting; searches, filters, and analyzes high-volume logs in real time; uses AI-powered QueryGenie to translate natural language into log queries.
Real User Monitoring (RUM)
Provides deep visibility into real user experiences across web and mobile applications; replays complete user sessions with correlated backend traces and includes privacy controls for sensitive data.
Synthetic Monitoring
Tests APIs and browser journeys globally to detect availability, latency, and performance issues; validates HTTP, UDP, DNS, and WebSocket APIs and runs automated browser tests simulating user workflows.
Container Monitoring
Detects Kubernetes and container issues with deep cluster-level visibility; correlates container metrics, logs, traces, and infrastructure data and provides unified cluster health dashboards.
Database Monitoring
Analyzes queries to detect slow executions and bottlenecks; monitors MySQL, PostgreSQL, MongoDB, Cassandra, and Aurora from a unified dashboard and tracks CPU, memory, disk, and query throughput.
LLM Observability
Monitors LLM applications, AI agents, prompts, and AI workflows in real time; tracks latency, token usage, costs, response quality, errors, and model performance.
Browser Testing
Tests web apps across browsers and devices as part of the observability suite.

Casos de uso

#1
Full-stack issue detection and auto-remediation
Detect issues from infrastructure, APM, and RUM and resolve them using the AI SRE Agent before users notice.
#2
Frontend to Backend Correlation
Correlate frontend user experience signals with backend traces and infrastructure for end-to-end troubleshooting.
#3
Digital Experience Monitoring
Monitor real user experiences and synthetic journeys to protect availability and performance.
#4
Log Analysis and Correlation
Search, filter, and correlate high-volume logs with traces and metrics for faster debugging.
#5
Kubernetes and cloud infrastructure monitoring
Monitor Kubernetes, AWS, Google Cloud Platform, and Microsoft Azure environments with unified visibility.
#6
LLM application monitoring and evaluation
Monitor and evaluate LLM apps, agents, prompts, token usage, costs, and response quality.

Melhor para:SREsBackend engineersPlatform engineersEngineering teams

Planos de preços

Offers Get Started Free with no credit card required; a Pricing page is linked but detailed paid plans are not described in the provided official snapshots.

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Perguntas frequentes

What is Middleware Observability Platform?

It is a full-stack observability platform that unifies APM, logs, infrastructure, RUM, synthetics, databases, and LLM monitoring, with an AI SRE agent (OpsAI) that detects, diagnoses, and automatically remediates issues before users are affected.

What does the OpsAI SRE Agent do?

OpsAI continuously monitors applications, infrastructure, databases, containers, logs, RUM, synthetics, and LLMs to detect anomalies in real time, correlates signals, pinpoints root causes, suggests fixes, surfaces high-priority incidents, reduces MTTR, and automates remediation.

Is there a free way to get started with Middleware?

Yes. Middleware offers Get Started Free with no credit card required. Detailed paid plans are not clearly described in the provided official source snapshots.

Which databases can Middleware monitor?

It monitors MySQL, PostgreSQL, MongoDB, Cassandra, and Aurora from a unified performance dashboard, tracking query performance, CPU, memory, disk, and throughput.

Who is Middleware Observability Platform designed for?

It is built for SREs, backend engineers, platform engineers, and engineering teams who need unified full-stack visibility and faster issue resolution.

Does Middleware support Kubernetes and major clouds?

Yes. It provides monitoring for Kubernetes environments as well as AWS, Google Cloud Platform, and Microsoft Azure, with auto-instrumentation and unified visibility.