Self-Service That Actually Works

True developer self-service with enterprise governance. No compromises.

See Developer Portal View case studies

THE PROBLEM

The Productivity Paradox

While Development has gained 10X speed, Software Delivery is sluggish

Ticket Ops Bottleneck

Developers wait days for simple environment requests

Governance vs. Speed

Strict controls slow delivery, loose controls create risks

Cognitive Load

Different tools, different processes, different outcomes

Every developer request represents lost velocity. Teams spend 20-30% of their time on infrastructure coordination instead of building features.

SOLUTION

Beyond Developer Portals

Why Most Self-Service Developer Portal Initiatives Fail

Developer Portals

Core Architecture: Portal First; Built On top of broken pipelines
Interface: Custom UI development & maintenance
Impact: No impact on release velocity; as they rely on the same fragmented tools

→

Facets Orchestration Framework

Core Architecture: Contracts First; Fixes broken pipelines
Interface: Use what you like (headless, portals, IDE)
Release Velocity: Orchestration Engine, improve release velocity by 5X

STEPS

True Developer Autonomy

Self-Service Without Limits in software delivery (Deploy, Operate & Monitor)

Select Project Type

From the Pre-approved module library

Drag & Drop

Configure and connect components

Deploy

Deploy on to environments in a self-service manner

Manage

Operate on the entire environment lifecycle

Developer Tasks

Declare architectural intents, not raise tickets

Self-serve environment creation

Compare configuration differences proactively

Self-serve resource scaling with guardrails

Use preferred DevEx: portal, cli or modern IDEs

CONTROL

Governance by Design, Not Compromise

Built-in Guardrails

Security Baseline

Encryption, monitoring, compliance automatically included

Environment Policies

Different rules for dev/staging/production

Cost Controls

Spending limits and auto-shutdown for non-production

Explore Product Features

AI-Enhanced Productivity

Organizational context enhances developer productivity

How Facets builds Context

The orchestrator builds organizational context from:

Service Architecture

Service architecture and dependencies

Environment Patterns

Environment types and overrides

Contracts & Guardrails

Contracts metadata from Terraform Modules

Metrics & Logs

Observability systems

How AI uses the Context

Debugging Assistant

Root cause analysis using full system context

Terraform Authoring

Generate modules based on organizational standards

Blueprint Discovery

Convert existing infrastructure to standardized blueprints

Natural Language Operations

Facets AI Assistant

03:52 PM

I need a staging environment for the new payment feature with a database and Redis cache

✅ Created staging-payment-v2 environment  
├── PostgreSQL (medium, backup enabled)
├── Redis cluster (small, no persistence)  
├── Load balancer with SSL
├── Monitoring and logging configured
└── Estimated cost: $247/month

Explore AI Roadmap

Read Case Study

"We empowered teams with workflow ownership using Facets. Developer autonomy transformed our entire delivery process and everything clicked perfectly."

Kaushal Bagtharia

AVP, DevOps • MPL

COMPARISON

The Productivity Transformation

Developer Friction

Current developer experience challenges

ticketOps and waiting for DevOps
Environment uncertainty and deployment surprises
Manual coordination and tribal knowledge dependency

→

Developer Flow

Enhanced developer productivity

Self-service and instant provisioning
Focus on features, not deployments
AI-powered assistance and organizational context

Productivity Impact

20%+

Productivity Lift

Release Velocity

60%

Platform Team freed up

Ship Faster. Stay Compliant. Always.

Deliver 5× faster releases while keeping governance intact

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