Middleware
Monitor and optimize cloud infrastructure with AI-powered observability
Overview
Middleware provides full-stack visibility into cloud environments to help teams prevent outages and optimize performance. It combines infrastructure monitoring, application tracking, and log analysis in one platform with AI-driven insights. Users get granular control over data collection while reducing cloud monitoring costs by up to 75% compared to alternatives.
Key Features
AI Insights
Automatically surface hidden bottlenecks using machine learning
Unified Dashboard
View infrastructure, apps, and user experience metrics together
Data Control
Filter and manage telemetry data to reduce costs
Real-Time Alerts
Get instant notifications about performance anomalies
Use Cases
Troubleshoot cloud infrastructure issues
Optimize application response times
Monitor real user experiences
Manage LLM application performance
Pros & Cons
Pros
- 20% faster incident resolution reported by users
- 75% cost savings compared to competitors
- Pre-built integrations for major cloud providers
- AI-powered root cause analysis
Cons
- Primarily focused on cloud environments
- No mention of on-premises monitoring capabilities
Frequently Asked Questions
How does Middleware compare to Datadog?
Offers similar capabilities at lower cost with 75% reported savings
Does it support serverless environments?
Yes, provides dedicated serverless monitoring
Can I control data ingestion costs?
Yes, through feature flags and filters
Integrations
Reviews for Middleware
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