Platform engineering is revolutionizing how teams ship software. Easy Deploy provides a complete platform engineering solution that empowers developers while maintaining operational excellence at scale.
What is Platform Engineering?
Platform engineering creates self-service capabilities that enable developers to build, deploy, and operate applications with minimal friction. It’s the evolution of DevOps, focusing on developer experience while maintaining reliability.
The Platform Engineering Stack
┌─────────────────────────────────────┐
│ Developer Self-Service Portal │
│ (Easy Deploy Dashboard) │
└───────────────┬─────────────────────┘
│
┌───────────────▼─────────────────────┐
│ Platform APIs & Abstractions │
│ (Infrastructure as Code) │
└───────────────┬─────────────────────┘
│
┌───────────────▼─────────────────────┐
│ Automation & Orchestration │
│ (CI/CD, Auto-scaling, Monitoring) │
└───────────────┬─────────────────────┘
│
┌───────────────▼─────────────────────┐
│ Cloud Infrastructure │
│ (AWS, Kubernetes, Databases) │
└─────────────────────────────────────┘
The Easy Deploy Platform Approach
1. Developer Self-Service
One Command to Production:
# That's it. Seriously.
easy-deploy deploy
Behind the scenes, Easy Deploy automatically:
- Builds your container
- Runs security scans
- Provisions infrastructure
- Configures load balancers
- Sets up monitoring
- Deploys with zero downtime
- Configures auto-scaling
2. Infrastructure Abstraction
Developers declare intent, not infrastructure:
# easy-deploy.yml - Simple configuration
name: my-app
runtime: node:18
replicas: auto # Platform decides based on load
# That's all you need!
Easy Deploy translates this into:
- ECS task definitions
- VPC configuration
- Security groups
- IAM roles
- Load balancer rules
- Auto-scaling policies
- CloudWatch dashboards
Core Platform Capabilities
Instant Environments
Create isolated environments in seconds:
# Create feature environment
easy-deploy env create --name feature-auth-v2
# Deploy to it
easy-deploy deploy --env feature-auth-v2
# Share with team
easy-deploy env share --env feature-auth-v2 --users @team
Use Cases:
- Feature branches: Test in isolation
- Demo environments: Sales and customer demos
- QA testing: Automated test environments
- Security scanning: Isolated vulnerability testing
GitOps Integration
# .github/workflows/deploy.yml
name: Deploy to Easy Deploy
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Deploy
run: |
npm install -g @easy-deploy/cli
easy-deploy deploy --env production
env:
EASY_DEPLOY_TOKEN: ${{ secrets.EASY_DEPLOY_TOKEN }}
Supported CI/CD:
- GitHub Actions
- GitLab CI
- CircleCI
- Jenkins
- Bitbucket Pipelines
Service Catalog
Pre-configured templates for common patterns:
# List available templates
easy-deploy templates list
# Create from template
easy-deploy create --template nextjs-app
easy-deploy create --template express-api
easy-deploy create --template python-ml
easy-deploy create --template django-postgres
Each template includes:
- Optimized Dockerfile
- Security best practices
- Performance configurations
- Monitoring setup
- Database connections
- Caching strategies
Developer Experience Features
Local Development Parity
# Run exact production environment locally
easy-deploy dev
# With all services
easy-deploy dev --services database,redis,queue
Features:
- Hot reload: Code changes instantly reflected
- Service discovery: Access dependent services
- Environment variables: Automatically synced
- Secrets: Securely accessed
Interactive Debugging
# SSH into running container
easy-deploy exec --env production
# Stream logs in real-time
easy-deploy logs --follow --env production
# Run commands
easy-deploy run "npm run migrate" --env production
Database Management
# Create database snapshot
easy-deploy db snapshot create prod-backup
# Clone production data to staging
easy-deploy db clone --from production --to staging
# Run migrations
easy-deploy db migrate --env production
# Access database console
easy-deploy db console --env production
Infrastructure as Code
Declarative Configuration
# easy-deploy.yml
version: "2.0"
name: ecommerce-platform
services:
web:
runtime: node:18
build: ./apps/web
port: 3000
replicas:
min: 2
max: 50
resources:
cpu: 0.5
memory: 1GB
env:
DATABASE_URL: ${database.url}
REDIS_URL: ${redis.url}
api:
runtime: python:3.11
build: ./apps/api
port: 8000
replicas:
min: 4
max: 100
resources:
cpu: 1.0
memory: 2GB
worker:
runtime: node:18
build: ./apps/worker
type: worker # Not exposed to internet
replicas:
min: 2
max: 20
database:
engine: postgresql
version: "15.4"
instance: db.t4g.large
storage: 100GB
replicas: 2
cache:
engine: redis
version: "7.0"
instance: cache.t4g.medium
queue:
engine: sqs
fifo: true
retention: 14days
Modular Architecture
# Reusable components
components:
- name: monitoring
source: "@easy-deploy/monitoring"
config:
alerts: ["high_cpu", "high_memory", "error_rate"]
- name: cdn
source: "@easy-deploy/cloudflare-cdn"
config:
cache_ttl: 3600
- name: backup
source: "@easy-deploy/backup"
config:
schedule: "0 2 * * *" # 2 AM daily
retention: 30days
Security and Compliance
Automated Security Scanning
Every deployment includes:
security:
scans:
- type: container_vulnerabilities
severity: [critical, high]
action: block # Prevent deployment if found
- type: secrets_detection
action: block
- type: license_compliance
allowed: [MIT, Apache-2.0, BSD]
action: warn
- type: code_quality
min_score: 7.0
action: warn
Secret Management
# Store secrets securely
easy-deploy secrets set DATABASE_PASSWORD
# Access in code
const password = process.env.DATABASE_PASSWORD;
# Rotate secrets
easy-deploy secrets rotate DATABASE_PASSWORD --zero-downtime
Features:
- AWS Secrets Manager integration
- Automatic rotation
- Access logging
- Encryption at rest and in transit
Compliance Controls
compliance:
standards:
- soc2
- hipaa
- pci_dss
controls:
data_encryption: required
access_logging: enabled
mfa_required: true
ip_whitelist: [10.0.0.0/8]
Observability Built-In
Automatic Instrumentation
No code changes required:
# Monitoring auto-configured
observability:
metrics: true # CPU, memory, requests, errors
traces: true # Distributed tracing
logs: true # Centralized logging
profiling: true # Performance profiling
Custom Metrics
// Add custom business metrics
import { metrics } from '@easy-deploy/sdk';
metrics.increment('orders.completed');
metrics.gauge('inventory.count', 1543);
metrics.histogram('checkout.duration', 234);
Unified Dashboard
┌─────────────────────────────────────────────────┐
│ Service Health Overview │
├─────────────────────────────────────────────────┤
│ web-service ✓ Healthy 2/2 replicas │
│ api-service ✓ Healthy 4/4 replicas │
│ worker-service ⚠ Degraded 3/5 replicas │
├─────────────────────────────────────────────────┤
│ Key Metrics (Last 5 min) │
│ Requests: 125,432 (+12%) │
│ Errors: 0.03% (↓ 0.01%) │
│ Latency p95: 145ms (↓ 23ms) │
│ CPU: 34% (Normal) │
├─────────────────────────────────────────────────┤
│ Active Deployments: 1 │
│ └─ api-service v2.3.1 → 75% rolled out │
└─────────────────────────────────────────────────┘
Team Collaboration
Role-Based Access Control
teams:
- name: developers
permissions:
- deploy:staging
- logs:read
- metrics:read
- name: senior-engineers
permissions:
- deploy:*
- secrets:read
- database:console
- name: sre
permissions:
- "*" # Full access
Deployment Approvals
environments:
production:
requires_approval: true
approvers:
- @tech-lead
- @sre-team
min_approvals: 2
deployment_window:
days: [Mon, Tue, Wed, Thu]
hours: [10, 11, 12, 13, 14, 15, 16] # 10 AM to 4 PM
Audit Logging
Every action logged:
# View audit log
easy-deploy audit log
# Example output:
2025-01-10 14:32:15 [email protected] deployed api-service:v2.3.1 to production
2025-01-10 14:28:03 [email protected] accessed production database
2025-01-10 14:15:42 [email protected] created environment staging-feature-x
Cost Management
Real-Time Cost Tracking
# View costs
easy-deploy costs show --group-by service
# Example output:
api-service: $1,234/month (↑ 15%)
web-service: $892/month (↓ 8%)
database: $2,150/month (→ 0%)
cache: $345/month (→ 0%)
Budget Alerts
budgets:
- name: monthly-limit
amount: 10000
threshold: 80 # Alert at 80%
actions:
- type: email
recipients: [[email protected]]
- type: slack
channel: "#infrastructure"
Cost Optimization Recommendations
# Get recommendations
easy-deploy costs optimize
# Example output:
💡 3 Opportunities Found:
1. Downsize api-service instances
Current: 4x db.t3.large
Recommended: 4x db.t3.medium
Savings: $342/month (23%)
2. Enable RDS reserved instances
Term: 1 year
Savings: $1,245/month (48%)
3. Use Spot instances for workers
Savings: $156/month (35%)
Total potential savings: $1,743/month
Multi-Service Applications
Service Mesh
Automatic service-to-service communication:
services:
frontend:
communicates_with:
- api
- auth
api:
communicates_with:
- database
- cache
- queue
auth:
communicates_with:
- database
Easy Deploy automatically configures:
- Service discovery
- Load balancing
- Circuit breakers
- Retry policies
- Timeout handling
- mTLS encryption
Distributed Tracing
See request flow across services:
Request ID: abc123def456
1. [frontend] GET /checkout
└─ 45ms
2. [api] POST /orders/create
├─ [auth] Verify token → 12ms
├─ [database] Insert order → 23ms
├─ [queue] Enqueue email → 8ms
└─ [cache] Update inventory → 5ms
Total: 93ms
Real-World Success Stories
SaaS Platform: From 2 to 200 Engineers
Challenge:
- 2-day deployment cycle
- Inconsistent environments
- 4 platform engineers overwhelmed
Solution with Easy Deploy:
- Self-service developer platform
- Standardized workflows
- Automated everything
Results:
- Deployment time: 2 days → 15 minutes
- Deploy frequency: Weekly → Multiple daily
- Platform team: 4 → 2 (efficiency gains)
- Developer satisfaction: 62% → 94%
E-Commerce: Black Friday Success
Challenge:
- Manual scaling preparation (weeks of work)
- Fear of traffic spikes
- Complex multi-service coordination
With Easy Deploy:
# That's the entire Black Friday prep
scaling:
auto: true
max_replicas: 500
Results:
- Preparation time: 3 weeks → 5 minutes
- Peak traffic: 10x normal (handled automatically)
- Downtime: 0 minutes
- Cost: 30% lower (auto-scaling down after peak)
Migration to Easy Deploy
Assessment (Week 1)
# Analyze existing infrastructure
easy-deploy migrate assess
# Output includes:
# - Current architecture diagram
# - Resource inventory
# - Migration complexity score
# - Estimated migration time
# - Cost comparison
Gradual Migration (Weeks 2 to 4)
# Hybrid deployment during migration
services:
new_api:
provider: easy-deploy
traffic: 10% # Gradual rollout
old_api:
provider: existing
traffic: 90%
Cutover (Week 5)
# Final switch
easy-deploy migrate cutover --confirm
Average Migration Stats:
- Duration: 4 to 6 weeks
- Downtime: 0 (blue-green migration)
- Success rate: 98%
- Performance improvement: 2 to 3x
- Cost reduction: 25 to 40%
Platform Engineering Best Practices
1. Golden Paths
Provide opinionated, well-tested paths:
# Recommended way to deploy
easy-deploy deploy # Follows all best practices
# Advanced users can customize
easy-deploy deploy --custom-config advanced.yml
2. Progressive Disclosure
Start simple, add complexity as needed:
# Beginner
runtime: node:18
# Intermediate
runtime: node:18
replicas: auto
# Advanced
runtime: node:18
replicas:
min: 2
max: 50
target_cpu: 70
scale_up_cooldown: 60
scale_down_cooldown: 300
3. Self-Service with Guardrails
Empower developers, protect production:
# Developers can deploy freely
environments:
development:
self_service: true
staging:
self_service: true
# But production has controls
production:
requires_approval: true
deployment_hours: [10, 11, 12, 13, 14, 15, 16]
rollback_automatic: true
Future of Platform Engineering
AI-Powered Operations
Coming soon to Easy Deploy:
- Anomaly detection: ML identifies issues before they impact users
- Capacity planning: Predict resource needs 30 days ahead
- Cost optimization: AI suggests architectural improvements
- Security scanning: Advanced threat detection
Edge Computing
Deploy to the edge automatically:
edge:
enabled: true
regions: auto # Deploy to over 200 edge locations
Getting Started
Quick Start (5 Minutes)
# Install CLI
npm install -g @easy-deploy/cli
# Login
easy-deploy login
# Initialize project
easy-deploy init
# Deploy
easy-deploy deploy
# Done! Your app is live with full platform features
Example Project Structure
my-app/
├── easy-deploy.yml # Platform configuration
├── apps/
│ ├── web/ # Frontend
│ ├── api/ # Backend API
│ └── worker/ # Background jobs
├── infrastructure/ # Optional IaC
└── .github/
└── workflows/ # CI/CD
Conclusion
Platform engineering transforms how teams build and ship software. Easy Deploy provides a complete platform solution that:
- Empowers developers with self-service capabilities
- Maintains reliability through automation and best practices
- Scales effortlessly from startups to enterprises
- Reduces costs through intelligent optimization
- Improves velocity with streamlined workflows
Our customers deploy 5 to 10x more frequently, spend 70% less time on infrastructure, and achieve better reliability than ever before.
Ready to transform your development experience? Start your free trial and experience the future of platform engineering.
Next Steps
- Get started: Free trial with Easy Deploy
- Learn more: Scaling to Millions with AWS
- See it in action: Watch platform demo
- Talk to experts: Schedule platform assessment