In the rapidly evolving landscape of cloud-native infrastructure, developers and cloud operators face a myriad of challenges in ensuring effective observability. The dynamic nature of these environments, coupled with the prevalence of technologies like Kubernetes and the diversity of deployment models (public, private, and hybrid cloud), presents a complex observability landscape. Understanding and addressing these
What does it mean to be “cloud native”? Cloud-native infrastructure refers to the design, deployment, and management of IT resources that leverage cloud computing principles. It involves building and running applications that take full advantage of the dynamic, scalable, and distributed nature of cloud environments. Characteristics include microservices architecture, containerization (e.g., Docker), and orchestration tools
In an earlier blog post, Kubernetes Overview, we introduced Kubernetes. We introduced key capabilities of Kubernetes i.e. Portability, Extensibility, Declarative Configuration and Automation. Let’s take a closer look at these capabilities to acquire deeper insights into the technology. Portability The portability of Kubernetes refers to its ability to enable consistent and seamless deployment and management
Kubernetes is an open-source platform for automated orchestration and management of Containerized applications. Before dwelling into the specifics, let’s briefly explore its origins. Kubernetes is a Greek word, meaning “helmsman” or a “pilot”. Kubernetes was originally developed at Google to run containerized workloads, then released as open source in 2014 and maintained by the Cloud