Platform Engineering & Modernization

Battle-Tested Platform Engineering

We’ve built and scaled platforms serving millions of users. Our team brings real-world experience from high-traffic environments including streaming platforms with 100M+ monthly active users and billing systems processing billions of daily transactions.

Our Platform Expertise

Architecture Design

• Microservices vs monolith trade-off analysis
• Event-driven architecture patterns
• API gateway and service mesh design
• Database sharding and partitioning strategies
• Caching layers (Redis, Memcached, CDN)

Scalability Engineering

• Proven track record: 100K → 100M+ users
• Real-time systems: 50 QPS → 10,000 QPS scaling
• High-availability architecture: 99.99% uptime
• Global distribution across multiple regions
• Auto-scaling and capacity planning

Cloud Infrastructure

• Multi-cloud strategy (AWS, GCP, Cloudflare)
• Infrastructure as Code (Terraform, Pulumi)
• Kubernetes orchestration and management
• Serverless architecture (Lambda, Workers)
• Cost optimization and FinOps

DevOps & CI/CD

• Automated deployment pipelines
• GitOps workflows
• Blue-green and canary deployments
• Automated testing and quality gates
• Rollback strategies and disaster recovery

Real-World Success Stories

Streaming Platform Scaling

Challenge: Video streaming platform needed to scale from 100K to 100M+ monthly users across web, mobile, and smart TV platforms.

Solution:

• Migrated to microservices architecture
• Implemented global CDN strategy
• Optimized database queries and caching
• Built real-time analytics pipeline

Results:

• 1000x user growth successfully handled
• 99.9% platform availability maintained
• 20x reduction in per-user infrastructure costs
• 100M+ RMB monthly revenue enabled

High-Performance Billing System

Challenge: E-commerce platform required billing system for 10M daily active users with sub-second latency.

Solution:

• Built distributed billing architecture
• Implemented real-time bidding system with Sphinx
• Deployed MapReduce-inspired data processing
• Created comprehensive monitoring and alerting

Results:

• 10M+ DAU handled seamlessly
• <50ms p95 latency for billing operations
• Zero downtime during peak traffic
• 99.99% transaction accuracy

Legacy System Modernization

Challenge: Financial services company needed to modernize 10-year-old monolithic PHP application.

Solution:

• Gradual microservices extraction
• API-first architecture design
• Zero-downtime migration strategy
• Automated regression testing

Results:

• 6-month migration completed on schedule
• 10x faster feature deployment
• 50% reduction in infrastructure costs
• Zero service interruptions

Technology Stack

Backend Frameworks

• Spring Cloud (Java) for enterprise services
• Laravel/Symfony (PHP) for rapid development
• Express/Fastify (Node.js) for high-performance APIs
• Flask/Django (Python) for ML/AI workloads

Databases

• PostgreSQL for ACID compliance
• MySQL for proven reliability
• TiDB for horizontal scaling
• Redis for caching and real-time data
• MongoDB for flexible schemas

Message Queues

• Apache Kafka for event streaming
• RabbitMQ for reliable messaging
• Redis Pub/Sub for real-time updates
• AWS SQS for cloud-native queuing

Observability

• Prometheus + Grafana for metrics
• ELK Stack for log aggregation
• Jaeger/Zipkin for distributed tracing
• Sentry for error tracking
• Custom dashboards and alerting

Platform Engineering Principles

Reliability First

• Design for failure
• Automated failover and recovery
• Circuit breakers and rate limiting
• Graceful degradation

Performance Optimization

• Database query optimization
• Caching strategies at every layer
• CDN and edge computing
• Load balancing and traffic shaping

Security by Design

• Zero-trust architecture
• API authentication (OAuth, JWT)
• Encryption at rest and in transit
• Regular security audits and penetration testing

Cost Consciousness

• Right-sizing infrastructure
• Reserved instance optimization
• Spot instance strategies
• Auto-scaling to match demand

Modernization Approach

We follow a proven methodology for platform transformation:

1. Assessment & Planning

• Current architecture analysis
• Pain point identification
• Technology stack evaluation
• Migration roadmap creation

2. Proof of Concept

• Critical path validation
• Performance benchmarking
• Risk mitigation strategies
• Team training and onboarding

3. Incremental Migration

• Strangler fig pattern
• Feature-by-feature migration
• Continuous validation
• Rollback capability maintained

4. Optimization & Scaling

• Performance tuning
• Cost optimization
• Monitoring and alerting setup
• Documentation and knowledge transfer

Industry Expertise

Media & Entertainment Streaming platforms, content delivery, real-time analytics, recommendation engines.

E-commerce & Fintech Payment processing, inventory management, order fulfillment, fraud detection.

Gaming & Social Real-time multiplayer, social graphs, user-generated content, in-app purchases.

Enterprise SaaS Multi-tenancy, API management, usage-based billing, compliance and security.

Getting Started

Platform engineering is complex. We make it manageable:

1. Discovery Workshop - Understand your current state and goals
2. Architecture Design - Create detailed technical roadmap
3. Pilot Implementation - Validate approach with critical path
4. Full Migration - Execute transformation incrementally
5. Continuous Improvement - Optimize and scale over time

Let’s discuss how we can help modernize and scale your platform.