Operations | Monitoring | ITSM | DevOps | Cloud

Our last Qovery Demo Day was live on Thursday, 23rd of June. This event aims to give you insights into what we did during the past month and what’s next and showcase some of our new features. During this demo day, Romaric (CEO at Qovery) and Benjamin (Software Engineer at Qovery) joined me to talk about Qovery EC2 and our brand new V3 console.

Epinio is a Platform as a Service (PaaS) that allows developers to go from the application source to a URL in one step. Try Epinio today or try it tomorrow — but make sure you try it. We just released our first stable version (Epinio v1.0.0) and we think you are going to love it. Let me tell you why.

Last week, I showed you how to build and deploy a Go Web application (or API backend for a frontend framework like React or Vue) to a cloud provider, using Docker as a process manager. In this post, which is part of two of this series, I will show you a second method of deploying a Go Web app or backend to any cloud, using Docker Swarm.

I recently published a couple of blog posts about what happens when you invest in a thoughtful incident management strategy and three first steps to take to do so. What I’m getting at in these posts is that we need a shift toward proactivity in the software operators community. I’d wager most of the world is responding to incidents as they happen, and nothing more.

Amazon Web Services (AWS) provides three types of Elastic Compute Cloud (EC2) instances; On-Demand Instances, Reserved Instances (RIs), and Spot Instances. EC2 On-Demand instances are the default and most expensive instances. RIs and Spot instances offer discounts of up to 72% and 90% on On-Demand instances, respectively. The Reserved Instances are long-term commitments that guarantee you compute power for a year or three. Spot instances fluctuate in price and availability constantly.

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”.

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.