Clusters

Kubernetes Fundamentals: Orchestrating Containers at Scale Kubernetes helps run containers across many machines. It schedules workloads, restarts failed apps, and coordinates updates so services stay available. This makes it easier for teams to deploy modern applications, whether they run in the cloud or on premises. A cluster has two main parts: the control plane and the worker nodes. The control plane decides where to run tasks and tracks the desired state. The nodes actually run the containers, grouped into pods. Pods are the smallest deployable units and usually hold one container, but can host a few that share storage and network. Deployments manage the lifecycle of pods, while Services expose them inside the cluster or to users outside. ...

Hardware Architecture for High Performance Computing High performance computing (HPC) loads demand fast processors, generous memory, and high bandwidth networks. The hardware architecture sets the ceiling for how quickly simulations run and how well software scales across thousands of cores. Key building blocks include: CPUs with many cores, large caches, and good single‑thread performance GPUs or other accelerators to handle massive parallel work fast memory options, from DDR4/5 to high‑bandwidth memory (HBM) on accelerators high‑speed interconnects and a scalable network topology robust storage and parallel file systems to feed data Memory hierarchy matters. Cache levels reduce latency, while NUMA domains require careful memory placement. On GPUs, HBM provides enormous bandwidth, but data movement between host and device still matters for performance. ...

Kubernetes and Container Orchestration Essentials Container apps run on many machines. Orchestration helps keep them working. Kubernetes is the most popular tool for this job, handling deployment, scaling, and updates with minimal downtime. This guide covers the essentials: what to know, how to deploy, and practical tips you can apply in real projects. Key building blocks Cluster, nodes, and control plane: the brain and the workers. Pods and containers: the smallest units that run code. Deployments: manage replicas and rolling updates. Services for stable endpoints inside the cluster and simple external access. Storage and configuration ConfigMaps and Secrets store settings and sensitive data. Volumes for persistent storage and stateful apps. Workflow basics Start with a Deployment manifest and apply with kubectl. Check status with kubectl get pods. Scale by changing replicas. Expose with a Service and, if needed, an Ingress. Helm can simplify packaging and upgrades. ...

Kubernetes Deep Dive: Orchestrating Modern Apps Kubernetes helps run modern apps at scale. It automates scheduling, health checks, and restarts. The control plane makes global decisions, while the data plane runs workloads on nodes. This separation lets teams deploy features quickly and keep services available. Core components keep the system running: API server etcd Controller Manager Scheduler Kubelet Kube-proxy Pods and higher level objects organize work. A Pod is the smallest unit and runs one or more containers with shared context. Deployments manage ReplicaSets and pods, enabling rolling updates and easy rollback. Services expose pods to the inside or outside the cluster. Namespaces help separate teams and environments. ...

Container Orchestration With Kubernetes A Practical Guide Container orchestration helps teams run apps reliably across many machines. Kubernetes coordinates containers, restarts failed work, and scales with demand. This practical guide moves from basics to a small, working setup you can apply today. Core concepts: a Pod is the smallest unit, a Deployment manages pods, and a Service exposes them. Namespaces group resources; ConfigMaps and Secrets store configuration data and credentials. PersistentVolume and StorageClass handle storage. Together they form the building blocks for real apps. ...