Customers are demanding multi-cloud solutions to solve problems such as resource constraints, application mobility, and flexible architectures. VMware is positioning new products to meet this demand and provide a unified experience across infrastructures. In this latest look at the hybridized data center, VMware meets the customer where they are to demonstrate the efficacy of VMware Tanzu Kubernetes Grid in a public cloud deployment.

In this fourth session in our DevOps 101 series, we’re going to delve into Database DevOps specifically. But before we get going, I just want to do a quick check to make sure we’re all on the same page. Donovan Brown’s definition of DevOps seems to have been adopted by almost everyone nowadays because it’s very clear: “DevOps is the union of people, process, and products to enable continuous delivery of value to our end users”.

Organizations struggle with getting the right visibility into their environments. Better visibility can improve performance, increase uptime (or decrease downtime, depending on your perspective) and ultimately improve customer satisfaction. Finding the right tool, however, can be a real challenge. Making matters even worse, vendors seem to be announcing new observability platforms every day.

A month ago, we introduced unsupervised ML & Anomaly Detection in Netdata, the Anomaly Advisor. Today, we’re happy to announce that we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node View tabs as well. This will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click.

When we came across Dotan’s article “Observability Is a Data Analytics Problem” on LinkedIn, he got our full attention. We totally agree with his views on observability and data analytics.

CI/CD systems follow a multi-tiered environments pattern: development, testing, staging, and production release are all part of this process. Each setting in this cycle could have a variety of set ups and configurations. As a result, having to set up separate configurations for different environments could be inconvenient and burdensome. In this tutorial, we will take a look at what Docker is and how it has freed developers from set-up problems and port clashes.

The gap between top and low-performing engineering teams is dramatic, whatever angle you look at it from. Whether you analyze their tech stacks and architecture choices, performance metrics, or cultural and team elements, the delta tends to be quite impressive. Despite the wide range of approaches, a few indicators paint a clear picture of the typical characteristics of a well-oiled setup.

Power Usage Effectiveness (PUE) is the most commonly used metric for measuring data center energy efficiency. It was developed by The Green Grid in 2007 and has been widely popular ever since due to growing concerns of the sustainability of data centers and for being able to represent overall efficiency with one easy-to-understand number.

Terraform combined with Qovery is like giving superpower to DevOps and developers. I am super excited to launch a brand new GitHub repository with "ready-to-use" examples to deploy crazy AWS cloud architecture with Terraform and Qovery. Feel free to use them, modify them and share them with us and our community.

Today's technology companies need to release quality features quickly and put them in users' hands even quicker. According to the State of DevOps Report, organizations with CI/CD tools deploy 208X more often and have a 106X shorter lead time than organizations without one. You can release software with minimal downtime for your customers when you use robust continuous deployment software.