Operations | Monitoring | ITSM | DevOps | Cloud

At InfluxData, it’s no surprise that we are passionate about time series data. Our team is committed to helping our community understand its capabilities and sharing easier and more efficient ways of working with InfluxDB, Telegraf and Flux. Our end goal is always to deliver faster Time to Awesome™ for our users. To this end, we’re excited to announce the launch of InfluxDB University.

Today we are pleased to announce that CircleCI has acquired Ponicode, a Paris-based AI engine for analyzing source code, with the goal to help developers produce better code in their local development environment. Ponicode caught our attention with their dedicated focus to helping developers handle their least favorite tasks — the toil surrounding writing code — such as authoring tests, commenting code, analyzing code quality, and more.

Although Amazon Web Services (AWS) announced cost categories a few years ago, many people still struggle to understand the difference between them and AWS tags. If this sounds familiar to you, you are not alone. This quick guide will walk you through AWS Cost Categories, how they work, and how they differ from tags in AWS.

Software engineering teams are continually seeking methods to improve and speed up the software development process. DevOps, an engineering methodology that brings development and operations together, is one popular strategy. Development and operations teams are frequently isolated in traditional engineering companies, which can lead to conflict between these two vital arms.

As an architect at SolarWinds, it’s essential to work with our own monitoring tools as a form of quality control and source for innovation. As one of the largest players in the IT monitoring and management world, we’re always thinking about ways to make it seamless for customers to work across our suite of tools. One of those tools I’ll focus on today is SolarWinds® Loggly®—our log management and analytics product, which is also a part of our APM integrated experience.

ContainIQ runs all infrastructure on Google Cloud (GKE), and was able to get Speedscale installed within a few minutes. After installing the Speedscale operator, ContainIQ began capturing traffic from the primary gateway where service calls come into a cluster.

There were many reasons people came to use CentOS as an alternative Linux platform to Red Hat Enterprise Linux (RHEL). CentOS was originally built as a downstream release of RHEL, which was free to use without support. CentOS became the de facto standard for many organizations that did not want to use RHEL for production workload, since it’s basically the same thing, just rebranded.

Today marks the start of a new chapter at Catchpoint, as we launch our digital experience observability platform. In this post, I’ll share with you some of the wider contextual factors driving this launch, as well as how the continuous evolution of our platform supports a massive market need.

Here at Grafana Labs, when we’re building integrations for Grafana Cloud, we’re often thinking about how to help users get started on their observability journey. We like to focus some of our attention on the different technologies you might come across along the way. That way, we can share our tips on the best ways to interact with them while you’re using Grafana Labs products.

Power Usage Effectiveness (PUE) is a ratio of the total amount of power used by a data center to the power delivered to IT equipment. The PUE metric was developed by The Green Grid to measure the overall energy efficiency of data centers, and it has been one of the most popular data center KPIs since its introduction in 2007.