Operations | Monitoring | ITSM | DevOps | Cloud

What’s surprising to see today is how business operations struggle to get an integrated view of all business metrics. With greater volumes of data being collected, data analysts just can’t keep up with the pace. This state of affairs alone doesn’t hit as hard as the fact that many in data analytics have just come to accept this situation as a norm and simply bear with this daily struggle.

At GrafanaCon EU, we gathered representatives of the Graphite, Prometheus, InfluxDB, and Timescale projects in the hopes of starting a spirited conversation about the current state of Time Series Databases. They didn’t disappoint! Here are a few highlights from the TSDB panel featuring Erik Nordstrom from Timescale, Dan Cech from Graphite, Paul Dix from InfluxDB, and Tom Wilkie from Prometheus, and moderated by Grafana Labs co-founder and CEO Raj Dutt.

5 years. It's been an amazing journey to build Keymetrics and PM2 through the last 5 years. I've started to create PM2 when Node.js was at the beginning of its fame, then Keymetrics was built a year after. I would like to say THANK YOU, to all of you, users, customers, teammates, maintainers, contributors for having made these softwares reach this height.

Rollbar is proud to announce its error monitoring SDK for the Go language (aka Golang). It’s an open source programming language originally created by Google and is growing in popularity. It’s a low-level language like C, but also offers garbage collection, an easy-to-use package system, and other features.

Flask is a Python framework known for its ease of use. It inherits Python’s advantages of extensibility, broad support, and relative simplicity. It’s known as a microframework because it relies on extensions for much of its functionality. Flask avoids constraining the developer to a predetermined database or authentication mechanism, for example, and instead leaves room for choice.

In part one of this two-part series, we discussed why organizations should adopt a SIEM solution to ensure network security. In this second part, we’ll be demystifying the critical capabilities of SIEM tools and show you what to consider when picking a solution.

We’ve been on a roll this year with Beelines, our integrations for quick, easy, and automagic instrumentation of your apps. You may have already seen our Node.js, Ruby, and Go beelines – today, we’re excited to announce the release of the Honeycomb Beeline for Python!