AWS (Amazon Web Services) is an amazing and reliable cloud service provider. AWS, like Google Cloud Platform and Microsoft Azure, provides everything you need to host an application without having to worry about running the underlying servers and network configuration. Everything you need to quickly begin hosting is provided as a packaged services.

ChatOps is about bringing conversations, tools, files, and automation into a single space. Mattermost has a number of plugins that support ChatOps and real-time DevOps workflows through integrations with developer tools like Jira, GitLab, GitHub, Bitbucket, and Jenkins. At the core is the Mattermost Server.

You may already know it if you follow us on a regular basis: in Pandora FMS blog we love to look ahead to the future. And we have to tell you a secret: next to our coat rack, locked up in a dresser, we have a gleaming crystal ball that we check from time to time. To activate it, you just have to pronounce the word “monitoring” in a secret language that I will not reveal here, and that is when it lights up and shows us its knowledge.

We just shipped three updates based on customer feedback.

Curious about how to write more idiomatic concurrent code in Go? It’s not always easy or intuitive, even if you’ve done lots of concurrent programming in other languages. I’ve been lucky to have worked in a well-written code base, and had the expert advice of Beats core area lead Steffen Siering along the way. In this post I’ll walk you through how we implemented a new scheduler for Heartbeat that is part of our upcoming 7.6.0 release.

KeyBank is one of the largest banks in the United States. And as the bank has grown, so has their end-to-end monitoring system. With more than 1,100 branches and 1,400 ATMs stretching across 15 states, KeyBank’s infrastructure had evolved into a “Noah’s Ark of design,” says Mick Miller, Senior Product Manager, Cloud Native at KeyBank. In other words, they had two of everything, resulting in 21 different data islands.

In this three-part series, we will take a hard look at Amazon’s Elastic Kubernetes Service: how it helps organizations run Kubernetes on AWS, what insights can be gained in EKS and how it’s monitored, and finally, how organizations can get the most out of EKS with the help of Sumo Logic. For the first installment, we’ll learn how it works and how organizations can get started with Amazon’s Elastic Kubernetes Service.

DevOps teams are increasingly looking toward Kubernetes as a scalable and effective way to package application containers of all sorts.. However, while Docker and Kubernetes have paved the way for the container and microservices revolution, there is still plenty of room for innovation. The strength of the Kubernetes tool lies in its ability to blend the simplicity of Platform as a Service with the stability of Infrastructure as a Service software.

My holiday challenge to explain serverless InfluxDB to my family produced a useful Flux script anyone can put to work today. Before we dive into the code, let me outline the high-level approach to gathering and visualizing how long it takes a website to respond to an HTTP request.

Today we announce InfluxDB 2.0 Open Source’s official move to Beta. This represents a huge step forward from where we started out nearly a year ago and is one step closer to general availability. You can download the latest version on our downloads page. Since we announced the first Alpha for InfluxDB 2.0 back in January ‘19, we have been working hard to build out and harden InfluxDB 2.0’s capabilities.