Build Your First Kubernetes Developer Platform

Move from UI-driven Kubernetes operations to opinionated platform APIs, golden-path deployments, and automated incident response. Each stop introduces a production-ready building block you can stitch together into a developer platform.

Learning Objectives

• Apply guardrails and RBAC to simplify day-one cluster onboarding for teams.
• Model applications with reusable templates that compile to standard Kubernetes manifests.
• Expose cloud infrastructure as platform APIs through Crossplane compositions.
• Deliver a consistent build → deploy → release workflow with HashiCorp Waypoint.
• Enrich Prometheus alerts so platform engineers and developers can close the loop on incidents quickly.

Videos in This Path

1. Hands-on Introduction to Portainer

Why it matters: Portainer gives you a “manager of managers” interface so teams can safely explore Kubernetes before you expose lower-level tools.

What you’ll learn:

• Understand the core value proposition of Portainer for simplifying container management.
• Describe how Portainer provides a unified interface for managing diverse environments like Kubernetes, Docker, and Nomad.
• Apply policies, RBAC, and guardrails that keep self-service access secure.
• Deploy a containerized application from the Portainer UI to demonstrate a fast path to value.

Key takeaways:

• Portainer has grown into a universal management plane for multi-cluster and edge environments.
• Built-in guardrails, policy enforcement, and centralized RBAC prevent common misconfigurations while keeping workflows approachable.

2. Hands-on Introduction to DevStand

Why it matters: DevStand turns platform patterns into Jsonnet templates and a drag-and-drop VS Code experience, closing the gap between application design and Kubernetes delivery.

What you’ll learn:

• Recognize the Kubernetes pain points DevStand abstracts for application developers.
• Use Jsonnet-powered templates to replace verbose Kubernetes YAML.
• Assemble a microservice architecture visually inside VS Code and generate manifests.
• Export a single DevStand configuration that compiles to version-controlled Kubernetes resources.

Key takeaways:

• DevStand delivers a PaaS-like experience on any Kubernetes cluster through reusable building blocks.
• The Jsonnet source of truth keeps complex app definitions portable and reviewable while the visual canvas accelerates developer onboarding.

3. Introduction to Crossplane

Why it matters: Before you hand developers infrastructure APIs, you need a universal control plane that speaks Kubernetes and cloud. Crossplane provides the foundation.

What you’ll learn:

• Explain how Crossplane extends the Kubernetes API to manage external infrastructure.
• Compare Crossplane’s continuous reconciliation model with on-demand IaC tools like Terraform.
• Install Crossplane, add a cloud provider, and explore Composite Resource Definitions (XRDs).
• Design simplified platform APIs that hide cloud complexity behind custom resources.

Key takeaways:

• Crossplane turns Kubernetes into a universal control plane so you can manage cloud resources with the same GitOps workflows as workloads.
• Continuous reconciliation and compositions keep infrastructure drift-free while enforcing platform policy.

4. Crossplane in Action

Why it matters: This follow-up demonstrates how to package your abstractions into real platform building blocks that developers can consume safely.

What you’ll learn:

• Provision cloud infrastructure using standard Kubernetes manifests and Crossplane Compositions.
• Apply opinionated platform APIs that bundle best practices into a single custom resource.
• Observe Crossplane’s reconciliation loop correcting drift and maintaining desired state.
• Map RBAC and credential boundaries so teams can request infrastructure without direct cloud access.

Key takeaways:

• Crossplane compositions let platform teams encode golden paths that stay aligned with policy and security requirements.
• Treating infrastructure as Kubernetes objects unlocks native integrations with GitOps, policy engines, and observability stacks.

5. Hands-on Introduction to Waypoint

Why it matters: Waypoint standardizes the build → deploy → release cycle, whether teams target Lambda, Kubernetes, or another runtime—perfect for platform engineers who need a portable workflow.

What you’ll learn:

• Install the Waypoint server locally and on Kubernetes to back your platform workflows.
• Define applications in waypoint.hcl and plug into existing YAML or Cloud Native Buildpacks.
• Run automated deployments to Kubernetes and AWS Lambda from the same configuration.
• Separate deployment from release to enable progressive delivery strategies.

Key takeaways:

• waypoint up creates a consistent developer experience across multiple execution environments.
• Plugins and the distinct release phase give platform teams fine-grained control without rewriting pipelines per environment.

6. Monitoring Kubernetes with Prometheus & Robusta

Why it matters: A platform is only as good as its day-two operations. Robusta enriches Prometheus alerts so frontline engineers get context, not just noise.

What you’ll learn:

• Install Robusta alongside Prometheus using Helm and connect it to Alertmanager.
• Enrich alerts with logs, graphs, and timelines that accelerate troubleshooting.
• Customize Robusta enrichers to collect runbook data for recurring production issues.
• Navigate the Robusta SaaS UI for multi-cluster visibility and faster MTTR.

Key takeaways:

• Standard Prometheus alerts lack context; Robusta automates evidence gathering to reduce alert fatigue.
• Runbook automation keeps developers productive and closes the loop between platform engineers and the teams they support.

Where to Go Next

• Combine DevStand blueprints and Crossplane compositions into a single GitOps repository so application and infrastructure definitions travel together.
• Add Robusta KRR to surface resource efficiency recommendations alongside alert enrichment.
• Pilot Waypoint pipelines with a small product team, then roll them out across environments once the workflow meets internal guardrails.