Social Media Ideas for Amazon Elasticache

How Intuit and AWS systematically improved resiliency on ElastiCache using AWS Fault Injection Service

Learn how Intuit and AWS validated Amazon ElastiCache resilience under a real Availability Zone impairment using AWS Fault Injection Service, cutting recovery from over 50 minutes...

Provision a secure Amazon DocumentDB cluster with Terraform

Learn how to provision a secure Amazon DocumentDB cluster using Terraform. This post applies infrastructure-as-code best practices with encryption, AWS Secrets Manager authenticati...

Monitor Amazon Aurora DSQL costs with the Aurora DSQL console and CloudWatch alarms

As your Amazon Aurora DSQL workload scales, DPU consumption and storage costs can grow without a fixed instance ceiling. This post shows how to monitor Aurora DSQL usage and cost w...

Monitor self-managed databases with Amazon CloudWatch Database Insights

Amazon CloudWatch Database Insights now extends to self-managed databases. Monitor self-managed PostgreSQL on Amazon EC2 alongside your Amazon Aurora and Amazon RDS fleet from a si...

Implement a correctness-safe Bloom filter lookup with Amazon ElastiCache for Valkey and Amazon Aurora PostgreSQL

This post shows how to compose a Bloom filter with an exact-match cache and a relational source of truth into a three-tier, correctness-safe membership lookup using Amazon ElastiCa...

Run DuckDB analytics on your Amazon DynamoDB data with zero-ETL

Run ad hoc SQL analytics on your Amazon DynamoDB data with DuckDB. A zero-ETL integration replicates your table into Apache Iceberg tables on Amazon S3 Tables, and an AWS Lambda fu...

Megabytes in milliseconds: How FireTV uses parallel queries and vertical partitioning to serve millions of customers in...

How Amazon FireTV redesigned its Continue Watching watch-progress data model on Amazon DynamoDB with vertical partitioning and hash-prefixed sort keys for parallel reads, removing...

Modernizing document storage for search, scale, and agility

Storing extracted document data in a relational JSON or BLOB column works until you need search and scale. Learn how to recognize when document data has outgrown relational storage...

Query Amazon S3 Tables from Amazon EMR Trino using the Iceberg REST endpoint

Learn how to query Amazon S3 Tables from Trino on Amazon EMR using the Apache Iceberg REST catalog endpoint. This post shows how to deploy the integration with AWS CloudFormation,...

Announcing Spark Connect on Amazon EMR on EC2: Interactive PySpark anywhere

Amazon EMR on EC2 now supports Spark Connect, so you can develop and debug PySpark interactively from Amazon SageMaker Unified Studio Data Notebooks or your own IDE while Spark run...

Integrate Amazon Redshift and IAM Identity Center with enhanced VPC routing

Amazon Redshift now supports AWS IAM Identity Center authentication on clusters and workgroups that use enhanced VPC routing. Create two interface VPC endpoints to give your users...

Amagi’s intelligent media operations with Amazon Neptune

Amagi built a Global Metadata Store on Amazon Neptune to model billions of interconnected media metadata relationships. Learn how their RDF knowledge graph, paired with Amazon Open...

A decision framework for Amazon Neptune availability

When an Amazon Neptune workload needs resilience beyond a single cluster, this post presents a decision framework that maps availability targets to Neptune architectural patterns,...

From noise to signal: Monitoring Amazon DocumentDB like a pro

Learn how to build a tiered alerting strategy for Amazon DocumentDB by organizing CloudWatch metrics into Critical, Warning, and Advisory tiers, diagnosing slow queries through thr...

Announcing Spark Connect on Amazon EMR on EKS: Interactive PySpark development, anywhere

Announcing Spark Connect on Amazon EMR on EKS: build, test, and debug Spark applications from VS Code, PyCharm, Jupyter notebooks, Amazon SageMaker Unified Studio, or dbt, while ru...

AWS buys DuckLabs, the people behind the popular in-process OLAP database

Cloud giant expresses love for DuckDB by buying its main support and development company

Meet Redis LangCache: A Managed Semantic Cache That Cuts LLM API Costs by Up to 90% and Returns Cache Hits Up to 15x Fas...

Production LLM applications rarely receive a question nobody has asked before. Support assistants and RAG pipelines field the same intents thousands of times a day, each phrased di...

AWS and AMD bring 5th generation AMD EPYC processors to Amazon Aurora and Amazon RDS

AWS today announced the general availability of AMD-based R8a and M8a database instances for Amazon Aurora and Amazon RDS, powered by 5th generation AMD EPYC processors. R8a is a m...

Accelerate Apache Spark debugging on Amazon EMR with AWS DevOps Agent

Extend AWS DevOps Agent to investigate Apache Spark failures on Amazon EMR. This post shows how to register the Apache Spark Troubleshooting Agent for Amazon EMR as a custom MCP ca...

Selecting a vector store for Amazon Bedrock Knowledge Bases

Choosing the right vector store for your Amazon Bedrock Knowledge Bases RAG application affects performance and cost. This post compares Amazon OpenSearch Service, Amazon Aurora Po...

Automated blocking and query alerts for Amazon RDS for SQL Server

Learn how to build automated email alerts for blocking chains and long-running queries on Amazon RDS for SQL Server. This serverless solution uses AWS Lambda, Amazon CloudWatch, an...

Razor Group’s journey to a modern data lakehouse on AWS

Razor Group, one of Europe's leading ecommerce aggregators managing 250+ brands, migrated from always-on Amazon Redshift clusters to an open lakehouse on Apache Iceberg, Amazon S3...

How Postman runs Agent Mode for 40 million developers on Amazon Bedrock

Building an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: con...

Amazon: AWS Acceleration Supports My Strong Buy Rating