Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Building a GPU inference pipeline for real-time workloads takes deliberate choices at every layer. Here’s the practical breakdown. 1. Hardware Setup GPU Selection: Pick GPUs built for inference. NVIDIA A100 and T4 are datacenter standards; RTX 3090/4090 work for dev or small-scale deployments if you accept consumer-grade limits. Server Configuration: Your servers need enough PCIe […]
Configuring infrastructure for containerized applications means building an environment that supports orchestration, networking, storage, and security at scale. Here’s how to approach it. 1. Assess Requirements Workload analysis: determine whether your applications are stateful or stateless, CPU-bound, memory-heavy, or GPU-dependent. Scalability: define horizontal and vertical scaling targets. Performance: quantify CPU, memory, I/O, and GPU needs. […]
You manage datacenters, storage, backup, servers, virtualization, operating systems, Kubernetes, and the rest of the stack. Here is a practical patch management strategy you can put into production. 1. Establish Patch Management Policy Define scope: which systems, servers, applications, and devices are included (Windows, Linux, Kubernetes clusters, network gear, firmware). Set objectives: keep systems current, […]
Handling node failures in Kubernetes clusters is essential for high availability. Here are practices and steps to manage node failures: 1. Understand Kubernetes Node Failure Behavior Kubernetes tolerates node failures by redistributing workloads across healthy nodes. When a node fails: – Pods on the failed node enter “Terminating” or “Unknown” state. – The control plane […]
Implementing IT infrastructure for big data processing requires careful planning to ensure scalability, reliability, and performance. Below is a step-by-step guide tailored for an IT manager responsible for datacenters, storage, servers, virtualization, and related infrastructure: 1. Assess Business Requirements Determine the volume, variety, and velocity of data you’ll be processing (the 3 Vs of big […]
Building IT infrastructure for DevOps pipelines means creating a scalable, reliable environment that supports continuous integration, continuous delivery, and automated workflows. Here’s how to approach it: 1. Assess Requirements Identify the specific requirements of the applications and services the pipeline will support. Select tools for source control, CI/CD, build automation, artifact management, and monitoring (Git, […]
