Operations | Monitoring | ITSM | DevOps | Cloud

Many will rightly point to 2023 as a year of AI, and it certainly was that. But what has really struck me in 2023 were the incremental, often less headline-grabbing changes, that have made developers’ lives easier and unlocked so much innovation. Kubernetes has continued to mature this year, going ‘under the hood’ in organization’s infrastructure and regularly used to support major use cases by large, enterprise-level businesses.

2023 was a big year for sustainability. More and more tech teams are realizing that sustainability is not a nice to have but a strategic priority for businesses. This conviction extends from leadership through to developers. I have been blown away by developers leading the charge to create innovative new tools for accountability and Corporate Social Responsibility (CSR).

With 2023 drawing to a close, the final OpenObservability Talks of the year focused on what happened this year in open source, DevOps, observability and more, with an eye towards the future. I was delighted to be joined by a special guest, Kelsey Hightower, a renowned figure in the tech community, especially known for his contributions to the Kubernetes ecosystem.

Kubernetes stands out as a powerful orchestrator, managing the deployment, scaling, and operation of containerized workloads. A key component of Kubernetes observability and troubleshooting capabilities is the generation of events. These events serve as vital records, documenting incidents and changes within the cluster, offering real-time insights into the health and dynamics of the system.

Are you looking for Kubernetes monitoring tools? Then you have come to the right place. Kubernetes has grown to become the container orchestration platform of choice. It simplifies managing your containerized workloads. You get the power of automating deployments, scaling resources, and keeping your applications running smoothly. But with great power comes added responsibility. And like any complex system, Kubernetes needs monitoring.

As the demand for AI-based solutions continues to rise, there’s a growing need to build machine learning pipelines quickly without sacrificing quality or reliability. However, since data scientists, software engineers, and operations engineers use specialized tools specific to their fields, synchronizing their workflows to create optimized ML pipelines is challenging.

Over the last few months, you may have noticed that many of our changelog releases mentioned the release of, and improvements to, Cycle’s native load balancer. While this load balancer still officially remains in beta status, we wanted to begin diving into the details around it a bit more thoroughly: What is it? Why did we build it? How can you use it?

Calico v3.27 is out 🎉 and there are a lot of new features, updates, and improvements that are packed into this release. Here is a breakdown of the most important changes.

Kubernetes is built to scale, and with managed Kubernetes services, you can deploy a Pod without having to worry about capacity planning at all. So why is it that Pods sometimes become stuck in an "Unschedulable" state? How do you end up with Pods that have been "Pending" for several minutes? In this blog, we'll dig into the reasons Pods fail to schedule. We'll look at why it happens, how to troubleshoot it, and ways you can prevent it.