Performance and Security Optimization
Why Performance And Security Modernization Matters
Conversion Loss
Data Breach Costs
User Abandonment
Brand Damage
Legal Penalties
Downtime Costs
Our Performance And Security Services
- Application portfolio analysis
- Infrastructure dependency mapping
- Cost-benefit analysis and TCO calculations
- Risk assessment and mitigation strategies
- Distributed tracing with OpenTelemetry
- Metrics collection and visualization (Prometheus, Grafana)
- Centralized logging (Loki, ELK stack)
- APM (Application Performance Monitoring)
- Security vulnerability assessments
- Penetration testing and remediation
- GDPR and HIPAA compliance implementation
- Encryption at rest and in transit
- Multi-region and multi-zone deployments
- Automated failover and recovery
- Backup and disaster recovery strategies
- Circuit breakers and retry mechanisms
Security Best Practices
Performance Optimization Strategies
Frontend
- Code splitting
- Lazy loading
- Image optimization
- Tree shaking
- Service workers
Backend
- N+1 query elimination
- Connection pooling
- Async processing
- Rate limiting
- Batch operations
Database
- Index optimization
- Query tuning
- Materialized views
- Read replicas
- Partitioning
Infrastructure
- Auto-scaling
- Load balancing
- CDN integration
- Caching layers
- Edge computing
Tools We Use for Performance and Security Modernization
Modernization Pillars
Our Latest Thinking
Building PCI DSS-Ready AI Finance Products: Chatbot Architecture, Payment Security, and Production Challenges
A practical guide to building PCI DSS-compliant AI finance products, covering chatbot architecture, payment security, and governance for enterprise leaders.
What a PHP-to-NestJS Banking Migration Taught Us About Architecture, Security, and Trust
This blog explores the architecture, security, performance, and documentation lessons from migrating a legacy PHP/Laravel banking platform to NestJS.
Can You Take an AI-Built MVP to Production? The Security, Scaling, IP, and Open-Source Risks Startups Need to Know
A practical guide to taking an AI-built MVP to production by addressing security, scalability, code ownership, licensing, and technical due diligence.
Building Is Not Shipping: An AI Agent for App Store Submissions | Gracey Dugar
Gracey Dugar's thegeekconf mini 2026 talk explores why app store submission stalls most AI agent workflows, what an agent needs to finish the job, and a live demo from a single prompt to a published app.
Building Production-Grade Video Thumbnail Scrubbing in the Browser: HLS, Frame Extraction, Caching, and Performance Trade-offs
This blog explains how to build responsive video thumbnail scrubbing in the browser for local files and HLS streams, covering frame extraction, caching, and performance trade-offs.
No More Prompt-and-Wait: Building Autonomous Agents That Act | Kamal Shree
Kamal Shree’s Geekconf mini’s talk explores the shift to autonomous agents, from what separates agents from chatbots, the anatomy and grounding behind them, and how to choose between no-code, low-code, and pro-code build paths.