Operations | Monitoring | ITSM | DevOps | Cloud

Earlier this year, I had the pleasure of speaking at the Open Source Summit North America. When choosing a topic, I felt it was time to return to our roots and discuss the subject that originally put InfluxDB on the map: infrastructure monitoring. What was especially exciting was the opportunity to showcase the new capabilities of InfluxDB 3.0 to the open source community and explain their significance for the future of infrastructure monitoring use cases.

Levitate - Last9's managed TSDB is available on AWS Marketplace.

Monitoring and optimizing IT infrastructure, applications, and networks is crucial for businesses in today's digital landscape. It allows them to proactively identify issues, ensure optimal performance, and deliver a seamless user experience. However, traditional monitoring methods often fall short when it comes to handling the increasing complexity and scale of modern systems. That's where hosted graphite and machine learning come into play.

If you’re using Sentry for JavaScript error monitoring, you may be familiar with a common challenge: sifting through noisy, low-value errors that hinder identifying high-priority issues for you and your team. Capturing errors in JavaScript browser project can be tricky. Why? Well, it’s not just a single environment.