Platform engineering has become one of the fastest-growing disciplines in software engineering. As organizations scale, the number of services, pipelines, cloud resources, and operational tools grows just as quickly. Without a common platform, every product team ends up solving the same infrastructure problems independently.
I've found that successful platform engineering initiatives don't begin with technology—they begin with understanding where developers are losing time. An internal developer portal isn't just another dashboard; it's a way to standardize workflows, reduce cognitive load, and let engineering teams focus on building products instead of managing infrastructure.
This article walks through how I'd approach building a platform engineering team and an internal developer portal from the ground up.
TL;DR
- Build a platform team to enable developers, not control them.
- Start by solving your biggest developer pain points.
- Treat the platform as an internal product with real users.
- Provide self-service workflows instead of manual requests.
- Build an Internal Developer Portal (IDP) that becomes the single place for documentation, services, deployments, and ownership.
- Measure success using developer adoption and delivery metrics—not the number of platform features shipped.
Why Platform Engineering Exists
As organizations grow, engineering teams often experience the same challenges:
- Developers wait days for cloud resources.
- CI/CD pipelines are inconsistent across teams.
- Documentation is scattered across multiple tools.
- Nobody knows who owns a particular service.
- Security and compliance checks vary between projects.
Eventually, engineering teams spend more time navigating systems than building software.
That's where platform engineering delivers value—by creating reusable capabilities that every team can consume.
Step 1: Identify Developer Pain Points
Before writing a single line of code, spend time understanding where developers lose time.
Typical questions include:
How long does it take to create a new service?
How long does onboarding take?
How many deployment steps are manual?
How often do developers ask for infrastructure support?
Which requests repeatedly go to the platform or DevOps team?
The answers help prioritize what the platform should solve first.
Step 2: Define the Platform Team
A platform engineering team isn't simply a renamed DevOps team.
Its mission is to build reusable products for internal engineering teams.
A typical team might include:
Platform Engineers
Site Reliability Engineers (SREs)
DevOps Engineers
Cloud Engineers
Security Engineers
Developer Experience (DevEx) Engineers
Their customers are developers—not external users.
Step 3: Build an Internal Developer Portal
The portal becomes the central place where developers interact with the platform.
Instead of searching multiple systems, developers should be able to:
Discover services
View ownership
Create new projects
Deploy applications
Request infrastructure
Read documentation
View dashboards
Check service health
One portal replaces dozens of disconnected tools.
Step 4: Standardize Service Templates
Every new microservice shouldn't start from scratch.
Create reusable templates that include:
Repository structure
CI/CD pipeline
Testing framework
Logging
Monitoring
Security scanning
Documentation
Example template:
service:
name: payments-api
language: nodejs
runtime: node20
ci:
tests: true
lint: true
security_scan: true
deployment:
environment: staging
strategy: rolling
monitoring:
metrics: enabled
logs: enabled
tracing: enabled
A developer can bootstrap a production-ready service in minutes rather than hours.
Step 5: Automate Infrastructure
Developers shouldn't create cloud resources manually.
Infrastructure should be provisioned through reusable templates.
Example:
apiVersion: platform.company.io/v1
kind: Service
metadata:
name: payments-api
spec:
runtime: node20
database: postgres
cache: redis
monitoring: enabled
Behind the scenes, automation provisions everything consistently.
Step 6: Build Self-Service Workflows
Every manual ticket is an opportunity for automation.
Examples include:
Create a repository
Provision Kubernetes namespaces
Generate CI/CD pipelines
Request databases
Issue TLS certificates
Configure DNS
Rotate secrets
Instead of waiting for another team, developers complete these tasks through the portal.
Step 7: Make Ownership Visible
One of the most valuable features of an internal portal is service ownership.
Every service should answer questions like:
Who owns it?
Which team supports it?
Where is the documentation?
Which environments exist?
When was it last deployed?
Example configuration:
service:
name: payments-api
owner:
team: payments
repository:
github: company/payments-api
slack:
channel: payments-alerts
runbook:
docs/runbook.md
Finding the right information should take seconds—not a series of Slack messages.
Step 8: Integrate CI/CD and Observability
Developers shouldn't switch between multiple tools to understand what's happening.
A portal should surface:
Latest deployments
Build status
Test results
Security findings
DORA metrics
Logs
Metrics
Traces
Incident history
The goal is to give developers a complete view of their services from a single interface.
Step 9: Measure Success
Platform engineering isn't successful because it launches a portal.
It's successful when developers actually use it.
Useful metrics include:
Developer onboarding time
Service creation time
Deployment frequency
Lead time for changes
Self-service adoption
Number of manual support requests
Internal platform satisfaction
Portal usage
If the platform reduces friction, these metrics should improve over time.
Common Mistakes
Some platform initiatives struggle because they:
Build too many features before validating user needs.
Focus on technology instead of developer experience.
Force teams onto rigid workflows.
Ignore documentation.
Treat the platform as an infrastructure project rather than an internal product.
The best platforms evolve through continuous feedback from engineering teams.
A Typical Platform Architecture
Developer
│
▼
Internal Developer Portal
│
├── Service Catalog
├── Documentation
├── Templates
├── Self-Service Actions
├── CI/CD
├── Infrastructure Automation
├── Security
└── Observability
│
▼
Cloud Infrastructure
The portal becomes the entry point, while automation handles the operational complexity behind the scenes.
Final Thoughts
Platform engineering isn't about centralizing control—it's about decentralizing capability.
When developers can create services, provision infrastructure, deploy applications, and access documentation through self-service workflows, they spend less time waiting and more time delivering value.
The most effective platform teams don't measure success by the number of tools they've built. They measure it by how much engineering friction they've removed.
If you're starting a platform engineering initiative, resist the urge to build everything at once. Solve one high-impact problem, gather feedback, and iterate. Over time, your internal developer portal will become more than just a collection of tools—it will become the foundation of how your engineering organization builds, ships, and operates software.
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