When we launched Pyroscope in 2021, we had one clear goal: Give developers a powerful open source continuous profiling tool for collecting, storing, and analyzing profiling data. Grafana Labs had a similar goal when they released Grafana Phlare, a horizontally scalable, highly available open source profiling solution inspired by databases like Grafana Loki, Grafana Mimir, and Grafana Tempo.
If you’re using AWS, you’re almost certainly using Amazon CloudWatch to collect and analyze observability data from your favorite AWS services. And while AWS remains the most broadly adopted cloud platform, not every company uses it exclusively, which means you need a tool that gives a centralized view across all your environments. With Grafana Cloud, you can do just that.
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.
Operating Kubernetes reliably and efficiently involves adhering to a set of best practices. These practices help ensure the stability, scalability and maintainability of your Kubernetes clusters and their applications. It's crucial for platform teams (responsible for the infrastructure) and software development teams (responsible for deploying applications) to work together in applying these practices.
