What Is Platform Engineering and How Is It Different from DevOps?
Platform engineering is the discipline of designing, building, and maintaining internal platforms that enable software development teams to deliver applications more efficiently, securely, and reliably. These platforms typically include infrastructure automation, deployment pipelines, observability tools, and self-service interfaces.
DevOps, on the other hand, is a cultural and operational philosophy that promotes collaboration between development and operations teams. While DevOps focuses on breaking down silos and improving processes, platform engineering provides the technical foundation that enables DevOps practices to scale.
Key Differences:
- DevOps is about how teams work together.
- Platform engineering is about what teams use to work better.
Platform engineers build the tools and systems that DevOps teams rely on—like CI/CD pipelines and developer portals. DevOps engineers use these tools to streamline workflows and improve delivery speed.
What Are the Key Components of a Successful Internal Developer Platform (IDP)?
An Internal Developer Platform (IDP) is a curated set of tools, services, and workflows that abstract away infrastructure complexity and empower developers to deploy and manage applications independently.
Core Components of an IDP:
- Self-Service Interfaces: Portals or CLI tools that allow developers to provision environments, deploy code, and monitor applications without needing ops support.
- Infrastructure as Code (IaC): Tools like Terraform or Bicep that define infrastructure declaratively and enable reproducible environments.
- CI/CD Pipelines: Automated workflows for building, testing, and deploying code.
- Observability Stack: Monitoring, logging, and tracing tools (e.g. Azure Monitor) to ensure visibility into system health.
- Security and Compliance Controls: Built-in guardrails to enforce policies and prevent misconfigurations.
- Templated Environments: Predefined configurations for common use cases (e.g., microservices, batch jobs, front-end apps) that reduce setup time and errors.
A successful IDP is not just a collection of tools—it’s a product that serves internal users (developers), and it must be designed with usability, reliability, and scalability in mind.
How Do You Measure Success in Platform Engineering?
Measuring success in platform engineering requires a blend of technical metrics, developer experience indicators, and business outcomes.
Key Metrics:
- Deployment Frequency: How often teams release changes to production.
- Lead Time for Changes: Time from code commit to production deployment.
- Mean Time to Recovery (MTTR): How quickly systems recover from failures.
- Change Failure Rate: Percentage of deployments that cause incidents.
- Developer Satisfaction: Survey-based metrics or Net Promoter Score (NPS) for platform usability.
- Platform Adoption Rate: Percentage of teams actively using the platform.
- Support Ticket Volume: Lower volume indicates better self-service and documentation.
Success also includes qualitative feedback—are developers happier, more productive, and less frustrated? Are ops teams spending less time on repetitive tasks? Is the business seeing faster time-to-market?
What Tools and Technologies Are Essential for Platform Engineering?
Platform engineering spans a wide range of technologies. The right stack depends on your organization’s needs, but here are the most commonly used tools across the industry:
Infrastructure & Orchestration:
- Terraform, Bicep– Infrastructure as Code
CI/CD & Automation:
- GitHub Actions and Azure DevOps
Observability & Monitoring:
Developer Experience:
- Incycle Elevate, Internal Portals – Developer portals
- Service Catalogs – For discoverability and governance
Security & Policy Enforcement:
- Azure Policies – Policy as code
- Azure Key Vault – Secrets management
- GitHub Advanced Security – Vulnerability scanning
The goal is to create a cohesive ecosystem where developers can build, deploy, and monitor applications with minimal friction.
How Do You Ensure Platform Adoption Across Teams?
Building a great platform is only half the battle—getting teams to use it is the real challenge. Adoption depends on developer trust, ease of use, and clear value.
Strategies for Driving Adoption:
- Involve Developers Early: Co-design the platform with input from engineering teams. Understand their pain points and workflows.
- Start Small and Iterate: Launch with a few teams, gather feedback, and improve before scaling.
- Provide Excellent Documentation: Clear guides, FAQs, and examples reduce onboarding friction.
- Offer Training and Support: Workshops, office hours, and Slack channels help teams get started.
- Showcase Success Stories: Highlight teams that benefited from the platform—faster deployments, fewer bugs, happier developers.
- Make It Easy to Do the Right Thing: Default templates, automated guardrails, and intuitive interfaces encourage best practices.
- Measure and Celebrate Wins: Track adoption metrics and celebrate milestones publicly.
Ultimately, platform engineering is a product discipline. Treat your platform like a product, and your developers like customers. Listen to them, support them, and continuously improve.
Platform Engineering Blog Series - Part 5 of 5
PE Blog Series Introduction
Part 1: The Rise of Templated Environments in Platform Engineering
Part 2: Anatomy of a Platform Engineering Template
Part 3 Deployment at Scale – GitHub Enterprise & Azure DevOps
Part 4: Platform Engineering and Developer Portals: Enabling Self-Service
Part 5: Real-World Scenarios and The Furure of Platform Engineering