home / skills / sandraschi / advanced-memory-mcp / docker-kubernetes-pro

docker-kubernetes-pro skill

/skills/technical/docker-kubernetes-pro

This skill helps optimize container orchestration with Docker and Kubernetes by guiding workflow, baselines, deployment patterns, security, and observability.

npx playbooks add skill sandraschi/advanced-memory-mcp --skill docker-kubernetes-pro

Review the files below or copy the command above to add this skill to your agents.

Files (10)
SKILL.md
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---
name: docker-and-kubernetes-pro
description: Container orchestration expert for Docker, Kubernetes, and cloud-native deployments
license: Proprietary
---

# Docker and Kubernetes Pro
> **Status**: ✅ Research complete
> **Last validated**: 2025-11-08
> **Confidence**: 🟡 Medium — Research-backed platform guide – review quarterly

## How to use this skill
1. Review [modules/core-guidance.md](modules/core-guidance.md) to scope workloads, platform constraints, and SLAs.
2. Establish image and cluster baselines via [modules/platform-foundations.md](modules/platform-foundations.md).
3. Design rollout strategy with [modules/deployment-patterns.md](modules/deployment-patterns.md).
4. Harden supply chain and runtime using [modules/security-and-compliance.md](modules/security-and-compliance.md).
5. Implement monitoring, autoscaling, and ops workflows from [modules/observability-and-operations.md](modules/observability-and-operations.md).
6. Track open research in [modules/known-gaps.md](modules/known-gaps.md) and refresh quarterly with [modules/research-checklist.md](modules/research-checklist.md).

## Module overview
- [Core guidance](modules/core-guidance.md) — intake checklist, platform fit analysis, stakeholder alignment.
- [Platform foundations](modules/platform-foundations.md) — container image build hygiene, registries, cluster architecture.
- [Deployment patterns](modules/deployment-patterns.md) — manifests, GitOps, rollout strategies, multi-environment setup.
- [Security & compliance](modules/security-and-compliance.md) — supply chain, policy-as-code, runtime security.
- [Observability & operations](modules/observability-and-operations.md) — monitoring, autoscaling, cost controls, incident response.
- [Known gaps](modules/known-gaps.md) — research backlog.
- [Research checklist](modules/research-checklist.md) — quarterly refresh workflow.

## Research status
- Content aligned with Kubernetes 1.30, latest OCI image guidance, and major managed Kubernetes providers.
- Next review due 2026-02-01 or sooner if Kubernetes 1.31 introduces breaking changes.
- Known gaps focus on serverless container platforms and WASM workloads pending deeper validation.

Overview

This skill is a container orchestration expert for Docker, Kubernetes, and cloud-native deployments. It provides a structured, research-backed playbook covering intake, platform baselines, deployment patterns, security, observability, and an active research checklist. The guidance is aligned with modern Kubernetes and OCI image practices and is intended for production-grade workloads.

How this skill works

The skill walks teams through a modular workflow: scope workloads and SLAs, establish image and cluster baselines, design rollout and GitOps strategies, and harden supply chain and runtime security. It includes operational patterns for monitoring, autoscaling, cost control, and incident response, plus a quarterly research refresh to track known gaps. Modules are practical checklists and blueprints you can apply directly to projects.

When to use it

  • Launching a new microservices platform or migrating monoliths to containers
  • Standardizing image build, registry, and cluster baselines across teams
  • Designing rollout, GitOps, and multi-environment deployment strategies
  • Hardening supply chain and runtime security for regulated or production systems
  • Implementing observability, autoscaling, and SRE runbooks for cloud-native apps

Best practices

  • Start with the intake checklist to capture constraints, SLAs, and stakeholder expectations
  • Define immutable image baselines and enforce registry hygiene before cluster changes
  • Adopt GitOps and progressive rollouts for safer deployments and simpler rollbacks
  • Apply policy-as-code and runtime controls to close supply-chain and runtime gaps
  • Instrument services for SLOs, alerting, and cost-aware autoscaling from day one

Example use cases

  • Establishing cluster and image baselines for a multi-team platform migration
  • Designing a GitOps pipeline with Canary or Blue/Green rollout patterns
  • Implementing supply-chain controls, vulnerability scanning, and policy-as-code
  • Creating an observability stack with SLO-driven alerts and autoscaling rules
  • Quarterly review process to track and close known research gaps like serverless or WASM workloads

FAQ

Which Kubernetes versions and image standards does the guidance target?

The material aligns with Kubernetes 1.30 and current OCI image guidance; review quarterly for compatibility with newer releases.

How often should the research checklist be run?

Run the research checklist at least quarterly or sooner when a new Kubernetes minor release introduces potential breaking changes.