Kubernetes Handbook

This project is a comprehensive infrastructure guide and technical reference for designing and deploying cloud native and AI native environments using Kubernetes. It serves as a manual for managing container orchestration, pod lifecycles, and declarative state reconciliation to maintain scalable cluster workloads.

The resource provides instructional material on building custom controllers and implementing operational logic via the operator pattern. It also functions as a framework for optimizing the delivery of large language models through specialized gateways and workload scheduling.

The handbook covers a broad range of capabilities including cloud native network routing, multi-cluster workload orchestration, and the implementation of persistent storage. It further details cluster administration, security management through role-based access control, and the coordination of service mesh traffic.

Features

AI Inference Infrastructure - Provides a comprehensive framework for designing AI-native infrastructure, including specialized gateways and workload scheduling for LLMs.

Container Orchestration Management - Functions as a comprehensive technical reference for managing pod lifecycles and declarative state reconciliation.

Inference Gateways - Describes using specialized inference gateways to optimize the delivery and routing of large language model workloads.

Operator Pattern Implementations - Offers instructional material on developing custom controllers using the operator pattern to automate application lifecycles.

AI Infrastructure - Optimizes AI infrastructure deployment for large language models using specialized scheduling and gateways on Kubernetes.

LLM Inference Optimization - Provides a framework for optimizing the delivery of large language models through specialized gateways and scheduling.

Cloud Native Infrastructure - Serves as a comprehensive guide for designing cloud-native infrastructure using container orchestration and service mesh patterns.

Cluster Lifecycle Management - Provides a technical reference for managing the lifecycle of pods and cluster resources to maintain system state.

Container Orchestrators - Implements standardized container orchestration for the automated deployment and scaling of workloads.

Orchestration Operators - Provides a guide for building custom orchestration operators to automate complex application lifecycles via CRDs.

Control-Loop Automation - Provides instructional material on implementing control-loop based automation for containerized application lifecycles.

Declarative Configuration Management - Guides the application of declarative configuration management to ensure predictable and automated infrastructure states.

Kubernetes Cluster Management - Offers a technical reference for managing pod lifecycles and maintaining desired system states in Kubernetes clusters.

Kubernetes Operators - Provides instructional material for building custom controllers and implementing operational logic via the operator pattern.

Operator Development Guides - Offers instructional material for building custom controllers and implementing operational logic via the operator pattern.

Network Routing and Traffic Management - Provides guidance on managing traffic flow and service discovery using ingress controllers and gateway APIs.

Declarative Reconciliation Engines - Explains the use of declarative reconciliation engines to maintain the desired system state via API configurations.

Persistent Storage Volumes - Explains how to implement persistent storage volumes to ensure data durability across container restarts.

Microservice Infrastructure - Details the infrastructure required to manage and secure communication between microservices in a distributed network.

Service Mesh - Explains the use of service meshes to decouple service connectivity and routing from application logic.

Storage Volume Orchestration - Details the automated provisioning and mounting of persistent storage volumes to decouple data from pod lifecycles.

Cross-Cluster Federation - Covers the federation of independent clusters to enable unified job deployment and high availability.

Multi-Cluster Orchestrators - Details the use of multi-cluster orchestrators to coordinate resources across diverse environments for high availability.

Service Traffic Routing - Provides guidance on configuring service traffic routing using ingress controllers, service discovery, and gateway APIs.

Service Mesh Networking - Serves as a guide for managing service mesh traffic and secure service communication.

Kubernetes Security - Explains how to protect cluster workloads using role-based access control and network policies.

Role-Based Access Control - Details the implementation of role-based access control to restrict unauthorized API access to cluster workloads.

Access Control - Describes securing cluster access through the implementation of identity-based access control policies.

rootsongjckubernetes-handbook

Features

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