AI and ML in the AWS Cloud
- Video Content Moderation with SageMaker Pipelines and Open-Source Models
- Video Content Moderation: AWS Managed Services vs. Open-Source Models
- Video Content Moderation with Step Functions and AWS AI Services
- SageMaker Pipelines: An Architecture Deep-Dive
- Building Large-Scale SageMaker Training Pipelines with Step Functions
- Best Practices for Networking in AWS SageMaker
AWS Architecture
- Real-Time Messaging Protocols: WebSockets, SSE, gRPC, Long Polling, and MQTT Compared
- AWS Aurora: Getting Close to Multi-Region Active/Active
- AWS DynamoDB: An Architecture Deep-Dive
- AWS Cognito User Authentication: An Architecture Deep-Dive
- AWS Event-Driven Messaging: SNS, SQS, EventBridge, and Beyond
- AWS Lambda Container Images: An Architecture Deep-Dive
- Lambda Behind ALB Behind CloudFront: An Architecture Deep-Dive
- AWS OpenSearch Service: An Architecture Deep-Dive
- Amazon CloudFront: An Architecture Deep-Dive
- Amazon ElastiCache: An Architecture Deep-Dive
- AWS Elastic Load Balancing: An Architecture Deep-Dive
- AWS Step Functions: An Architecture Deep-Dive
- Amazon API Gateway: An Architecture Deep-Dive
AWS Cost Savings
Agentic Coding
- Automated TDD with Claude Code: Testing Strategy for AI-Assisted Engineering
- The Leverage Factor, Part 2: Defending the Numbers
- Agentic Coding, FOMO, and Flow State Addiction
- Agentic Coding and Decision Fatigue: The Cognitive Cost of Supervising AI
- Building a Cloud Knowledge Benchmark: Testing What LLMs Actually Know About AWS
- Giving Claude Code a Voice with ElevenLabs
- The Leverage Factor: Measuring AI-Assisted Engineering Output
- Single Serving Applications - The Clones
- Ephemeral Apps Are Almost Here
- Overlooked Productivity Boosts with Claude Code