Middleware launches its AI-powered cloud-native observability and monitoring platform.
Middleware was founded to create a cost-effective solution to recent sea changes in cloud monitoring.
"Companies that want to stay competitive can't rely on old, outdated technologies. We at Middleware want to empower organizations of all sizes to modernize their infrastructure with agile, scalable, and resource-light observability tools." Said Laduram Vishnoi, Middleware CEO.
- Middleware uses AI and streamlined user workflows thats provide alerts to the Dev team with the right data and context so that they can troubleshoot issues faster than ever. AI-based alerts can auto-trigger problems directly to the right developers without roaming here and there (from DevOps to solutions engineers to developers).
- Most businesses don't correlate their observability and business data. This is a problem because powerful insights can be gained from analyzing the two side by side. For example, Amazon recently tracked that if their website slows by one extra second, they lose millions of dollars daily. This can be huge for eCommerce businesses, especially if they track a slowdown in orders—it could be due to poor application performance. The faster they fix the application, the more orders they receive and the more revenue they earn.
- Middleware's advanced AI and machine learning algorithms constantly learn and gather data on application and infrastructure behavior to spot potential errors and issues before they even happen.
- Lastly, the higher cost is a bottleneck of today's observability platform. Middleware lowers cloud costs by ingesting data into a data warehouse, providing a model to connect s3 and Azure blob to store data, set data rotation policies, and secure the data.
As cloud-native and AI-powered technologies become the market standard, Middleware is ahead of the curve, not behind it.
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