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DevOps

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

Low latency Linux for industrial embedded systems - Part I

Welcome to this mini blog series on the low latency Linux kernel for industrial embedded systems! The real-time patch, which is not fully upstream yet, has had many developers wonder about stable alternatives for their projects adopting an embedded Linux operating system (OS) with latency requirements in the milliseconds’ range. The low-latency Ubuntu Linux kernel from Canonical is less costly to maintain than real-time alternatives.

10 Problematic Challenges to Expect When You Scale Your Monitoring

You started the year with one Kubernetes cluster and now you have 100. How do you deal with that? This is a reality for many SREs, and as organizations scale their monitoring to address the growing complexity of their IT environments, SREs will inevitably encounter challenges. The key is to know what challenges to expect, so you can be prepared rather than surprised.

Serverless vs Fully Managed Services: What Are They? What is the Difference Between Them?

One of the first questions you must ask yourself when deciding to construct an application in the cloud is whether your application will be built utilizing serverless or fully managed services. To begin, let me state that these are extremely loosely defined concepts and that there may be cloud services that fall somewhere in the middle, as well as others that are both serverless and fully managed services at the same time.

Introduction to Ceph and Rook | Kublr Webinar

Learn how the Ceph storage system can be deployed and managed quickly and reliably using Rook, Kubernetes (K8s) and Kublr in Azure & AWS. Learn how to use Ceph in heterogeneous hybrid & multi-cloud environments to enable data replication, mirroring and disaster recovery. Learn how Ceph and Rook provide cloud-native K8s applications with block and file storage & advanced capabilities like snapshots and volume cloning.

[Webinar] 5 Things We Learned Not to Ignore While Scaling Kubernetes

Using Kubernetes for orchestration? Great—we hope things are running smoothly. The thing about Kubernetes, though, is that it tends to surprise you—throwing curveballs just when you think you've finally mastered the art of container management. And those curveballs usually come at you when you try to scale up. So, how can you scale K8s without striking out due to speed and reliability (not to mention sanity) issues?