Category: Compute

In this post, I show you how to build a serverless workflow orchestration engine that uses Amazon DynamoDB and AWS Lambda. The complete implementation is available in a GitHub repository, which includes two fully functional examples that you can deploy and run immediately to see the orchestration engine in action.

In this three-part series, we explore approaches to implement enhanced event-driven patterns for DynamoDB-backed applications. In this post (Part 2), we explore another method which uses global secondary indexes (GSIs) to handle fine-grained Time to Live (TTL) requirements.

In this three-part series, we explore approaches to implement enhanced event-driven patterns for DynamoDB-backed applications. In this post (Part 1), we focus on improving DynamoDB’s native TTL functionality by implementing near real-time data eviction using EventBridge Scheduler, reducing the typical time to delete expired items from within a few days to less than one minute.

In this post, we explore the support for AWS bare metal instances on Amazon EC2 bare metal Instances for Amazon RDS for Oracle and RDS Custom for Oracle.

In this post, we walk through a solution that automates the notification of Amazon RDS and Aurora recommendations through email using AWS Lambda, Amazon EventBridge and Amazon Simple Email Service (Amazon SES).

In this post, we show how to capture and retain failed stream events for later analysis or replay using Amazon S3 as a durable destination. We compare this approach with the traditional Amazon SQS dead-letter queue (DLQ) pattern, and explain when and why Amazon S3 is a preferred option.

In this post, we dive deeper into database optimization for your Amazon Relational Database Service (Amazon RDS), exploring how you can use AWS Compute Optimizer recommendations to make cost-aware resource configuration decisions for your MySQL and PostgreSQL databases.

In November 2024, AWS introduced the latest evolution of its custom-designed ARM-based processors with Graviton4, delivering significant performance and efficiency improvements for Amazon RDS for PostgreSQL, MySQL, and MariaDB and Amazon Aurora. In this post, we focus on Amazon RDS for PostgreSQL and compare the performance of the new Graviton4 instances to both Graviton3 and Graviton2. Using benchmarks, we evaluate throughput, latency, and price-performance, showcasing the advantages of Graviton4 for modern database workloads.

Database outages can have devastating effects on your applications and business operations. For teams running self-managed Apache Cassandra clusters, unexpected node failures or memory issues can lead to service degradation, data inconsistency, or even complete system outages. AWS Fault Injection Service (AWS FIS) is a managed service that you can use to perform fault injection experiments on your AWS workloads. In this post, we review how you can use AWS FIS to craft a chaos experiment to test the resilience of your self-managed Cassandra clusters running on Amazon EC2. This can help you understand your application’s ability to reestablish a connection to a healthy node.

In this post, we guide you through setting up automation for pre-upgrade checks and upgrading a fleet of Amazon RDS for PostgreSQL instances. In this solution, we use AWS Systems Manager to automate the Amazon RDS upgrade job.