What is Platform Engineering?

Platform engineering is about building an internal system that lets developers ship software quickly without dealing with infrastructure complexity. At its core, you’re creating an Internal Developer Platform (IDP) that standardizes how applications are built, deployed, and operated. This typically involves combining tools like Kubernetes for orchestration, Terraform for infrastructure provisioning, and Backstage as a central developer portal. Before starting, you should understand basic cloud concepts, containers, CI/CD, and version control, because platform engineering builds on top of these rather than replacing them.

The first practical step is to containerize an application. Create a simple service (for example, a Node.js or Python API), then package it using Docker so it runs consistently across environments. Once containerized, deploy it to a local Kubernetes cluster. This step teaches you how applications are scheduled, scaled, and exposed in a cluster, which is foundational. You should also learn how to define deployments, services, and configuration through YAML manifests, because platform engineering relies heavily on declarative configuration rather than manual setup.

Next, introduce infrastructure as code using Terraform. Instead of manually creating cloud resources, define them in code so they can be versioned and reused. Start with simple resources like storage buckets or virtual machines, then expand to networking and Kubernetes clusters. This enables reproducibility and consistency, which are critical in a platform. At this stage, you should also understand environment separation (dev, staging, prod) and how to structure Terraform modules so teams can reuse standardized infrastructure patterns.

Once infrastructure is automated, add CI/CD pipelines using tools like GitHub Actions. A basic pipeline should build your application, run tests, create a container image, and deploy it to Kubernetes. Over time, you can enhance pipelines with security scans, approvals, and rollback mechanisms. The goal is to create a repeatable workflow so developers can push code and have it automatically move through build and deployment stages without manual intervention. This is where platform engineering starts reducing developer friction significantly.

After that, build a developer experience layer using Backstage. Backstage acts as the front door to your platform, allowing developers to create new services using templates, discover existing systems, and access documentation. You can define “golden paths,” which are pre-approved ways to build and deploy applications, ensuring consistency across teams. For example, a template might generate a new service with built-in CI/CD, monitoring, and deployment configuration, eliminating repetitive setup work.

Finally, evolve your platform by adding observability, security, and governance. Integrate monitoring tools (like Prometheus), logging systems, and tracing to give visibility into applications. Implement role-based access control and secrets management to secure the platform. Over time, refine the platform based on developer feedback, treating it as a product rather than a one-time project. A mature platform engineering setup continuously improves developer productivity while maintaining reliability and compliance across the organization.