awesome-kubernetes/v2-docs/about.md

About Nubenetes

!!! info "Architectural Context" Detailed reference for About Nubenetes in the context of Architectural Foundations.

Standard Reference

• Terraform Kubernetes Boilerplates 🌟 [COMMUNITY-TOOL]
• https://swagger.io/ [COMMUNITY-TOOL]
• Jenkins Configuration as Code Plugin [COMMUNITY-TOOL]
• Jenkins CLI [COMMUNITY-TOOL]
• opensource.com: GitOps vs. DevOps: What's the difference? 🌟 [COMMUNITY-TOOL]
• thenewstack.io: Kubernetes at Scale without GitOps Is a Bad Idea [COMMUNITY-TOOL]
• DZone: Defining Day-2 Operations [COMMUNITY-TOOL]
• kube.careers: Kubernetes jobs market trends for 2021 (Q4) [COMMUNITY-TOOL]
• fairwinds.com: Never Should You Ever In Kubernetes: #1 Do K8S The Hard Way [COMMUNITY-TOOL]
• alexander-goida.medium.com: Thoughts about breaking silos of software engineering' teams 🌟 [COMMUNITY-TOOL]
• devdriven.by: Promotion Driven Development [COMMUNITY-TOOL]
• reddit.com: Promotion Driven Development [COMMUNITY-TOOL]
• en.wikipedia.org: Kiss up kick down [COMMUNITY-TOOL]
• jinja 🌟 ⭐ 11634 [ENTERPRISE-STABLE]
• opensource.com: Using Ansible with REST APIs [COMMUNITY-TOOL]

Cloud Infrastructure

Systems Design

Operational Philosophy

• (2021) ==cloudscaling.com: The History of Pets vs Cattle and How to Use the Analogy Properly== 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — Explores the history and technical framework of the classic 'Pets vs Cattle' infrastructure analogy. It contrasts the hand-managed, fragile nature of unique servers ('Pets') with automated, standardized, and easily replaced nodes designed for automated recovery ('Cattle'). This core concept underpins modern auto-scaling groups and container cluster design.

Cloud Native

Kubernetes Development

Go Client-Go

Generics

• itnext.io: Generically working with Kubernetes objects in Go [ADVANCED LEVEL] [COMMUNITY-TOOL] — Curator Insight highlights the use of Go 1.18+ generics to drastically reduce boilerplate when interacting with various Kubernetes API types. Live Grounding confirms that while standard client-go uses dynamic clients or interface{} for generic operations, integrating Go generics allows for cleaner, type-safe custom controllers. This article provides practical patterns for wrapping standard clients to streamline resource manipulation.

Orchestration

Kubernetes

API Integration

• (2024) docs.ansible.com: kubernetes.core.k8s – Manage Kubernetes (K8s) objects [DOCUMENTATION] [COMMUNITY-TOOL] — Core reference documentation for the 'kubernetes.core.k8s' module, allowing Ansible control planes to deploy and interact with native Kubernetes API resources directly. It integrates seamlessly with kubectl credentials to process declarative manifest payloads or inline spec configurations.

Container Orchestration

Kubernetes (1)

Infrastructure Control Planes

• (2021) nextplatform.com: KUBERNETES EXPANDS FROM CONTAINERS TO INFRASTRUCTURE MANAGEMENT 🌟 [ADVANCED LEVEL] [COMMUNITY-TOOL] — Explores the transformation of Kubernetes from basic container scheduling into a complete cluster management control plane. Details how the API server can orchestrate non-container assets (VMs, database systems, physical hardware) through custom operators and CRDs.

Development Tools

API Testing and Design

Postman

• (2012) getpostman.com [TYPESCRIPT CONTENT] [COMMUNITY-TOOL] — Postman is an industry-standard API collaboration platform designed to streamline the lifecycle of API design, testing, documentation, and mock-server deployment. Architecturally, it enables cross-team collaboration via shared workspaces, automated collection runs, and seamless integration into CI/CD pipelines to validate REST, GraphQL, and gRPC endpoints.

Operations and Reliability

Site Reliability Engineering

Evolution

• thenewstack.io: How the SRE Experience Is Changing with Cloud Native 🌟 [ENTERPRISE-STABLE] — This high-density industry analysis examines how the rise of complex cloud-native architectures shifts SRE responsibilities. It addresses how microservices, service meshes, and dynamic scheduling require SREs to move from simple system monitoring to deep, code-level observability and platform design.

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