A practical guide to AWS auto scaling — target tracking, step scaling, scheduled scaling, predictive scaling, and the strategies that balance performance, availability, and cost across EC2, ECS, and Lambda workloads.
A practical guide to AWS SQS — standard vs FIFO queues, dead-letter queues, visibility timeout tuning, Lambda integration, and the messaging patterns that make distributed systems reliable.
A practical guide to AWS EventBridge for event-driven architectures — event buses, rules, schema discovery, cross-account patterns, and the design principles that make event-driven systems reliable.
How to build education platforms that scale from zero to millions of students using AWS serverless services — with architecture patterns for LMS, assessments, video delivery, and AI-powered learning.
A practical comparison of Amazon ECS and EKS for container orchestration — covering architecture, operational complexity, cost, and decision criteria for choosing the right service.
Practical Step Functions patterns for production workloads — from sequential pipelines to parallel fan-out, error handling, human approval workflows, and cost optimization strategies.
A practical guide to DynamoDB single-table design for SaaS — covering access patterns, tenant isolation, GSI strategies, and the patterns that make DynamoDB the ideal serverless database.
A practical guide to SaaS multi-tenancy architecture on AWS — comparing silo, pool, and bridge isolation models with trade-offs for cost, security, compliance, and operational complexity.