Kubernetes Distributions and Installers Matrix Table¶
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Architectural Context
Detailed reference for Kubernetes Distributions and Installers Matrix Table in the context of Architectural Foundations.
Networking and Security¶
Kubernetes Networking¶
Ingress and Traffic¶
- (2023) Learnk8s: Comparison of Kubernetes Ingress Controllers 🌟🌟 [MARKDOWN CONTENT] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — An expansive, community-maintained comparison spreadsheet detailing the feature matrices, protocol supports, dynamic reloading behaviors, and ecosystem integrations of various Ingress Controllers. Live Grounding highlights this dynamic reference as an essential resource for architects choosing ingress tools based on enterprise requirements.
Platform and Site Reliability¶
DevOps¶
State Of DevOps. Googles DevOps Research And Assessment DORA¶
- itprotoday.com: Google DORA Report Details Best Practices to Speed DevOps 🌟 [COMMUNITY-TOOL] — Technical documentation and implementation reference for itprotoday.com: Google DORA Report Details Best Practices to Speed DevOps covering State of DevOps. Googles DevOps Research and Assessment DORA in DevOps (techtarget.com).
Platform Architecture¶
Cloud Providers¶
Managed Kubernetes Comparison¶
- (2021) Learnk8s: Comparison of Kubernetes Managed Services 🌟 [COMMUNITY-TOOL] [MCP] — A highly granular, community-maintained matrix tracking managed Kubernetes services across both major and minor cloud vendors. It details network capabilities, autoscaler integration, upgrades, security profiles, and persistent volume support. It represents an essential industry benchmark used by platform architects designing global cluster patterns.
- (2020) atodorov.me: Comparing Kubernetes managed services across Digital Ocean, Scaleway, OVHCloud and Linode [COMMUNITY-TOOL] — Compares managed Kubernetes offerings from secondary cloud providers: DigitalOcean, Scaleway, OVHCloud, and Linode. It analyzes storage driver speeds, control plane SLA pricing, and API version support. This evaluation helps teams design multi-cloud setups and avoid the cost overhead associated with tier-1 hyperscalers.
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🔗 See Also: Jenkins | Openshift Pipelines