Operations | Monitoring | ITSM | DevOps | Cloud

Over the past few months, we published a number of articles showing how to snap desktop applications written in different languages – Rust, Java, C/C++, and others. In each one of these zero-to-hero guides, we went through a representative snapcraft.yaml file and highlighted the specific bits and pieces developers need to successfully build a snap. Today, we want to diverge from this journey and focus on the server side of things.

Apache Flink is an open source framework, written in Java and Scala, for stateful processing of real-time and batch data streams. Flink offers robust libraries and layered APIs for building scalable, event-driven applications for data analytics, data processing, and more. You can run Flink as a standalone cluster or use infrastructure management technologies such as Mesos and Kubernetes.

This is a repost from the JFrog dev.io blog site. When you’re new to an industry, you encounter a lot of new concepts. This can make it really difficult to get your feet underneath you on an unfamiliar landscape, especially for junior engineers. In this series, I’ll cover tools and terminology common to the DevOps space, plus the occasional newbie-friendly tutorial for emerging or established technologies. If you have a request or suggestion, let me know!

According to a recent study, 96% of applications in the enterprise market use open-source software. As the open-source landscape becomes more and more fragmented, the task to assess the impact of potential security vulnerabilities for an organisation can become overwhelming. Ubuntu is known as one of the most secure operating systems, but why? Ubuntu is a leader in security because, every day, the Ubuntu Security team is fixing and releasing updated software packages for known vulnerabilities.

As the number of IoT devices scale, the challenges of provisioning and keeping them up to date in the field increases. Domotz, who manufacture an all-in-one, network monitoring and management device for enterprise IoT networks, found themselves with this challenge that was further compounded by their rapid software release cadence. One of the most crucial and difficult aspects for Domotz to solve was the delivery of automatic updates to the tens of thousands of devices deployed.

This article will cover the most common challenges you might find when trying to use Prometheus at scale. Prometheus is one of the foundations of the cloud-native environment. It has become the de-facto standard for visibility in Kubernetes environments, creating a new category called Prometheus monitoring. The Prometheus journey is usually tied to the Kubernetes journey and the different development stages, from proof of concept to production.