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About Middleware

Middleware is a middleware software from Middleware Labs that offers full-stack observability with real-time monitoring and diagnostics. It combines real-time monitoring, diagnostics, and issue detection so teams can detect issues at scale while keeping data secure. Middleware allows users to gain insights across various layers of their applications, ensuring comprehensive visibility into system performance. This platform is designed to support large-scale environments where timely issue identification is critical. Key capabilities: full-stack observability real-time diagnostics secure data handling scalable performance monitoring issue detection Best for: IT teams and developers that need to monitor application performance effectively.

Middleware Details

Vendor
Middleware Labs
Year Launched
2022
Location
Location (HQ) 133, Kearny St., Suite 400, San Fransisco, CA 94108
Deployment
cloud, on premise, linux
Training Options
documentation, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Japanese, Chinese
Users
IT professionals, System integrators, Business analysts, Data engineers, Application developers
Industries Served
Finance, Healthcare, Technology, Retail, Manufacturing, Telecommunications
Tags
Application Performance Management, Cloud Management, DevOps, Incident Management, Log Analysis, Log Management, Observability, Server Monitoring, Server Management.

Middleware's In-App Market Place

Does Middleware have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($)

Pros & Cons

  • Intuitive and user-friendly interface with customizable dashboards.
  • Robust API management and seamless integration capabilities.
  • Real-time data synchronization ensures up-to-date information across systems.
  • Customizable workflows for automating complex processes.
  • Strong performance and reliability, even with large datasets.
  • Pricing may be perceived as higher compared to simpler integration tools.
  • Some advanced features may require additional training for effective use.
  • Limited offline functionality due to its cloud-based nature.

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