A guide to Amazon DynamoDB Transactions, covering use cases, differences from batch operations, and idempotency handling.
A deep dive into single-table design for DynamoDB, covering its concepts, benefits, and trade-offs for scalable applications.
Explores 5 key use cases for AWS Lambda, including HTTP APIs, data processing, and IoT, highlighting its cost-efficiency and scalability.
An introduction to AWS Lambda, explaining its serverless, Function-as-a-Service model, cost benefits, and common use cases for developers.
Explains DynamoDB filter expressions, their limitations, and when to use them versus proper table design for efficient queries.
An overview of using Python with serverless services on AWS and GCP, based on a talk from the Python Frederick event.
Explains how DynamoDB's design ensures scalable performance, contrasting it with the scaling challenges of relational databases.
A summary of AWS cloud best practices, covering scalability, stateless applications, and design principles for modern cloud architecture.
A developer's wish list for new DynamoDB features, including filtered streams and Redis-like operations.
Stack Overflow announces Prashanth Chandrasekar as its new CEO, highlighting his tech background and the company's future goals.
Learn how to use AWS CloudFormation Custom Resources to extend infrastructure-as-code capabilities for unsupported AWS or third-party services.
A guide to AWS CloudFormation Macros, explaining how to create custom template transformations using Lambda functions for more flexible infrastructure-as-code.
A guide on migrating an existing Amazon DynamoDB table to a Global Table, including architecture and steps using infrastructure-as-code tools.
Performance comparison of three AWS API deployment methods: Lambda, API Gateway service proxy, and Fargate containers.
Argues that the PIE theorem (Pattern Flexibility, Efficiency, Infinite Scale) is more practical for database selection than the popular CAP theorem.
Examines four common data modeling patterns for DynamoDB in serverless applications, including simple use cases and complex relational approaches.
Explores AWS's unannounced, under-the-hood improvements to services like Redshift and DynamoDB that enhance performance without customer action.
Recap of a Python Frederick meetup where Patrick Pierson presented on Django, covering local development tools like Docker and Vagrant.
