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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

The 4 Golden Signals for Monitoring Kubernetes: Everything You Need to Know

Kubernetes is currently the de-facto container orchestration system on the market. Both small and large companies adopt it, and all major cloud providers offer it as a service. However, Kubernetes is a complex and layered platform, so you can’t just jump into it. There are three essential stages for each application: design, deployment, and operation. This blog post will focus on operation, where you need to monitor and troubleshoot your deployed applications.

Embedded Linux development on Ubuntu - Part III

Welcome to the concluding chapter of this journey on embedded Linux development with Ubuntu. We covered a lot of ground, so let us quickly recap what we learned so far. In Part I we introduced Snaps, software packages designed for the world of IoT. Snap packages isolate and encapsulate an entire application, increasing the security and stability of embedded devices. Snapcraft is the command-line tool to build snaps.

3 Cost Considerations For Your Multi-Cloud Environment

A multi-cloud strategy has become the status quo for many organisations. It provides access to the broadest range of cloud services and best-of-breed technologies, along with a reduced risk of vendor lock-in. As a result, most organisations will use a number of the most popular service options alongside more niche or localised offerings.

Configuring a Correlation Engine in Moogsoft | Moogsoft Product Videos & How-Tos

Moogsoft's correlation engine groups related alerts and forms incidents. This happens automatically with no configuration. But in this video, we take a sample use case and create additional correlation settings to tailor it to the specific needs. Don't forget to subscribe for content on DevOps, Observability, AIOps and more!

Cloud Data Fusion: Concepts of Networking

To understand implementation, security, and connectivity in Cloud Data Fusion, it’s helpful to first understand the networking concepts. In this episode of Networking End to End, Lorin Price goes over what Cloud Data Fusion is, Public IP vs Private IP, and more. Be sure to look out for more videos on the Concepts of Networking for Google Cloud’s managed services! Chapters

Netdata Machine Learning Meetup

This video livestream meetup by Netdata takes a deep dive into the fundamentals of Machine Learning in DevOps Infrastructure Monitoring. It also covers the Netdata way of approaching Machine Learning. The Anomaly Advisor major update to Netdata is introduced as a valuable troubleshooting tool for any DevOps or Site Reliability Engineer looking for anomalies in their infrastructure. The hosts share real-world infrastructure monitoring & troubleshooting examples, as well as early feedback from the community on the Anomaly Advisor.

The Challenges of Building Multi Cloud

Multi cloud has long been a contentious topic when you talk about cloud infrastructure. Infrastructure as code tools such as Terraform and Pulumi have made deploying to any cloud much easier - you can now use a single interface to deploy infrastructure to virtually any cloud environment. However, the effort of creating infrastructure for each cloud provider still requires significant expertise and time to get right, leading many to see it as a effort not worth taking.

Getting The Most Out Of Docker

Docker is the industry leader in the world of containerization. While the concept of containers is not new, still, it was not easy to create new containers. The underlying operating system complexities of creating a container were very challenging. Docker changed that and made things easier by handling the complexities mentioned above to launch a container. It's now super easy for developers to build, manage, scale and deploy their applications securely using Docker.

CI/CD Pipelines for Kubernetes: Best Practices and Tools

Kubernetes is today’s leading container management platform, due to its comprehensive API and developer-friendly features. Using Kubernetes, you can create scalable and reliable applications that run on-premises systems and public clouds. Its out-of-the-box features allow it to distribute hundreds of instances over data centers and keep them up and running. In order to catch up with the automation level of Kubernetes, developing and deploying applications requires more autonomy.