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Migrate to Amazon Keyspaces with zero downtime using ZDM Proxy

Learn how to migrate from self-managed Apache Cassandra to Amazon Keyspaces with zero downtime by deploying an extended version of the ZDM Proxy on AWS Fargate. This post covers the single CloudFormation stack, the six migration phases from historical data loading through validation and cutover, and security and cost best practices for production workloads.

Troubleshooting SQL Server query performance on Amazon RDS

Learn a complete database administrator workflow for monitoring, diagnosing, and resolving T-SQL query performance issues on Amazon RDS for SQL Server. This post shows how to use Amazon CloudWatch Database Insights, Query Store, and Resource Governor together to detect regressions, diagnose execution plan changes, and isolate analytical workloads.

Eval-driven development: Lessons from evaluating GenAI at scale

Building scalable applications on Amazon Aurora DSQL

In this post, we provide practical guidance for designing applications that scale effectively with the Amazon Aurora DSQL distributed architecture. You will learn how to identify common patterns that limit scalability, apply proven design patterns that distribute workload efficiently, and implement transaction strategies optimized for Aurora DSQL. We cover primary key selection, schema design principles, indexing strategies, and multi-Region optimization, while maintaining full ACID (atomicity,

Future-proofing data integrity: Quantum-safe digital signatures in Cloud KMS

With cryptographically relevant quantum computers (CRQC) on the horizon, transitioning to quantum-safe digital signatures is critical to safeguarding long-term data integrity and authenticity. Organizations are steadily recognizing this urgency.  For example, the U.S. government announced an update to the timelines by which departments and agencies must transition to quantum safe digital signatures. To help with the transition, we are announcing the general availability of our quantum-safe digit

Building On-Call Agents That Learn Using LangChain Memory

Every on-call AI agent has the same dirty secret: it starts each incident completely blank. It doesn't remember that the payments service crashed last Tuesday for the same reason. It doesn't know your team always checks the database connection pool first. It doesn't recall that rollbacks on this service take 20 minutes, not 5. Humans build this knowledge over months of being paged at 2 a.m. Current agents throw it away at the end of every session.

Scientific computing in the age of agentic AI

A new field report shows how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.