// TAG: KUBERNETES

Explore the foundational AI infrastructure required for robust, scalable, and cost-efficient LLM serving, covering hardware, software, and …

Learn how to build, optimize, and scale robust LLM inference pipelines. Explore pre-processing, model serving, post-processing, GPU optimization …

Explore strategies for scaling Large Language Model (LLM) deployments, from managing single instances to orchestrating resilient, high-throughput …

Build a fully-automated CI/CD pipeline for Java web applications using Jenkins, Maven, and Docker.

Explore the Sidecar Pattern: Learn how to enhance microservices with auxiliary processes for common tasks like logging, monitoring, and security, …

Master dynamic model routing and A/B testing strategies for LLMs to optimize performance, cost, and user experience in production environments.

Learn Kubernetes core concepts and how to manage containerized applications at scale.

Master monitoring and observability for production LLMs. Learn key metrics, tools like Prometheus and Grafana, and strategies for detecting …

Learn how to scale applications automatically, manage configurations, and protect secrets in Kubernetes.

Learn how to significantly reduce the operational costs of Large Language Model (LLM) inference by mastering advanced techniques like GPU …

Explore the intricacies of self-hosting Trigger.dev, covering core architecture, local Docker Compose setup, and essential production deployment …

Dive deep into scaling SpaceTimeDB applications. Explore distributed architectures, sharding, replication, and modern deployment strategies using …

Take your AI agents from prototype to production. Learn critical strategies for scaling, optimizing costs, and ensuring ethical and responsible …

Learn how to build a robust, scalable, and cost-efficient Retrieval Augmented Generation (RAG) system using LLMOps best practices for production …

Learn how to deploy and scale AI agents in production using Docker and Kubernetes.

Learn how to deploy a multi-service application to Kubernetes, including understanding YAML configurations and service communication.

Learn how to deploy a production-ready data workflow using MetaDataHub, Docker, and Apache Airflow.

Kubernetes 1.36 released. MutatingAdmissionPolicy promoted to GA (v1) and enabled by default, enhancing admission control security.. Finer-grained …

Learn to deploy and manage Large Language Models (LLMs) in production. This guide covers inference pipelines, model routing, caching, GPU …

A comprehensive guide to mastering DevOps, covering tools like Linux, Git, Docker, and Kubernetes.

A comprehensive guide to mastering Docker, from zero to production.

Learn how to set up and manage a Docker Swarm for container orchestration.

Learn how to effectively troubleshoot and debug Docker containers, images, networks, and volumes.

Learn how to manage containerized applications at scale with Docker orchestration platforms like Kubernetes and Swarm.

Learn to deploy, manage, and scale applications using Helm, Kubernetes, and AKS.