Platform EngineeringBeginner45 min

Platform Engineering

Discover what platform engineering is, why it matters, and how Internal Developer Platforms solve the challenges of modern software development at scale.

The DevOps Challenge

In traditional setups, developers and operations teams often work in silos:

  • Developers say: "It works on my laptop!"
  • Operations respond: "It doesn't work in production!"

DevOps emerged as a solution — bringing developers and operations together, enabling developers to deploy their own applications. But this introduced a new set of challenges.

Why DevOps Alone Isn't Enough

Modern infrastructure is complex. Developers are expected to understand:

  • Cloud providers (AWS, Azure, GCP, OVHcloud)
  • Container orchestration (Kubernetes)
  • Networking, security, and observability
  • CI/CD pipelines and GitOps workflows

This cognitive overload slows teams down and increases the risk of misconfiguration. Platform Engineering addresses this gap.

What Is an Internal Developer Platform (IDP)?

An Internal Developer Platform provides:

  • Platform tools and shared services — pre-configured, battle-tested infrastructure
  • Templates for developers — golden paths for common workflows
  • Self-service capabilities — developers get what they need without waiting
  • Best defaults — sensible configurations that enforce best practices

Benefits

  • Developers focus on writing business code, not managing infrastructure
  • IT/platform teams focus on building and maintaining the platform
  • Consistency across all environments and teams
  • A unified way of working reduces friction and onboarding time

Career Paths in Platform Engineering

RoleFocus
DeveloperBusiness applications and features
Platform EngineerBuilding and maintaining the IDP
Infrastructure EngineerCloud resources, networking, clusters

Platform Team

Common Challenges Platform Engineering Solves

  • Manual Kubernetes setup leads to technical debt and scaling issues
  • Managing multiple environments is error-prone and inconsistent
  • Different teams using different tools makes mutual support impossible
  • Lack of self-service overwhelms IT teams with developer requests
  • Developer-managed infrastructure can introduce security vulnerabilities

Gartner Report — Platform Engineering is a top strategic trend

Platform Engineering Categories

A complete IDP typically covers these areas:

CategoryTools
Infrastructure as CodeTerraform, Pulumi
ObservabilityPrometheus, Grafana, Loki, Promtail, Alertmanager
DeploymentGeneric Deployment Helm Charts
Ingress & TLSIngress-NGINX, Cert-Manager
Access ControlRBAC, Kyverno
GitOpsArgoCD
Data ServicesPostgreSQL, Redis, Kafka, RabbitMQ
Secret ManagementExternal-Secrets, Sealed Secrets, Vault
DNS ManagementExternalDNS
AuthenticationKeycloak (OIDC, SSO, Identity Federation)
Policy ManagementKyverno

Two Approaches to Building an IDP

Using Cloud-Specific Managed Services

ProsCons
Reduced operational overheadVendor lock-in
Seamless cloud integrationLimited customization
Built-in high availabilityHigher costs at scale
Managed security patchesSLA and policy dependency

Using Kubernetes Clusters

ProsCons
Greater control and customizationHigher operational complexity
Consistent across clouds and on-premRequires Kubernetes expertise
Open-source, community-driven toolsScaling requires planning
No vendor lock-inSecurity is your responsibility

Two Categories of Deployment

Every Kubernetes platform manages two distinct categories:

  1. Platform tools — shared infrastructure services (monitoring, auth, ingress, databases)
  2. Developer applications — business microservices deployed by development teams

Kubernetes Platform Architecture

Design decisions include:

  • Mixed or separate clusters per environment (dev, test, staging, production)
  • Mixed or separate clusters for platform tools vs. developer applications
  • Multi-cloud or hybrid deployments

GitOps: The Foundation

GitOps uses a Git repository as the single source of truth for your entire platform:

  • Full audit trail: who, when, what, why, and who approved every change
  • Rollback capability: revert to the last known working state on failure
  • ArgoCD is the most popular GitOps engine for Kubernetes, providing:
    • Auto-syncing — continuously reconcile desired vs. actual state
    • Auto-pruning — remove resources no longer defined in Git
    • Self-healing — automatically fix configuration drift

Kuberise.io: An Open-Source IDP

Kuberise.io is a free, open-source Internal Developer Platform that follows these principles:

  • GitOps-based deployment with ArgoCD
  • DRY (Don't Repeat Yourself) approach — same templates for all environments, different values for each
  • Single command installation to get a fully functional platform
  • Zero vendor lock-in — runs on any Kubernetes cluster

Getting Started

The installation process is straightforward:

  1. Set up a Kubernetes cluster using IaC tools (Terraform) or local tools (Minikube, Kind)
  2. Install and configure platform tools using GitOps with Kuberise.io
  3. Deploy your developer applications through the same GitOps workflow