by Thuymy Tran on February 19, 2026 at 9:59 pm

Amazon RDS instances running on legacy file systems face several limitations. Storage is capped at 16 TiB, and some engines, including MySQL, MariaDB, and PostgreSQL, may encounter per-file size limits of approximately 2 TiB due to file system constraints, even though the database engines themselves support larger objects. In this post, I show you how to upgrade an RDS instance to the current file system with minimal downtime using Amazon RDS blue/green deployments.

by Sandeep Mishra on February 19, 2026 at 7:09 pm

Every day, AWS customers process millions of compressed files in Amazon S3, from small ZIP archives to multi-gigabyte datasets. While decompressing a single file is straightforward, processing thousands of files efficiently requires complex orchestration, error handling, and infrastructure management. Consider this scenario: Your organization receives over 10,000 compressed files daily from partners, ranging from 5

by Vamsi Krishna Ganti on February 18, 2026 at 8:19 pm

In this post, we show you how to implement search on Amazon DynamoDB data using the zero-ETL integration with Amazon OpenSearch Service. You will learn how to add full-text search, fuzzy matching, and complex search queries to your application without building and maintaining data pipelines.

by Pratibha Shivnani on February 17, 2026 at 7:28 pm

In this post, you learn how Amazon Aurora now provides encryption at rest by default for all new database clusters using AWS owned keys. You’ll see how to verify encryption status using the new StorageEncryptionType field, understand the impact on new and existing clusters, and explore migration options for unencrypted databases.

by Yann Allandit on February 17, 2026 at 5:46 pm

This post is the second in a series of two dedicated to Amazon RDS consolidation. In the first post, we discussed the challenges, opportunities, and solution patterns for Amazon RDS consolidation. In this post, we introduce RDS Consolidator, a practical tool designed to optimize Amazon RDS database consolidation.

by Yann Allandit on February 17, 2026 at 5:45 pm

In this first post of a two-part series, we share proven strategies for Amazon RDS database consolidation that can help you reduce operational overhead and optimize resource utilization. In the second post, we will introduce an open source tool that we developed called RDS Consolidator, which helps you visualize your current database landscape and plan consolidation scenarios.

by Amir Khairalomoum on February 17, 2026 at 3:07 pm

Modern containerized applications running on Kubernetes enable organizations to deploy read-heavy workloads—such as machine learning inference, data analytics, and High Performance Computing (HPC)—at unprecedented scale. However, when multiple pods on the same node need to access identical datasets, a performance challenge emerges. Each pod typically fetches files from external storage independently over the network. This

by Prabhu G on February 17, 2026 at 12:10 am

Imagine receiving an unexpected $1,200 Data Transfer Out (DTO) charge on your Amazon Web Services (AWS) bill. You know something generated significant outbound traffic, but you’re left wondering: which resource caused it? Where was the data sent? Was it legitimate application traffic or a security incident? This common challenge faces FinOps professionals, DevOps engineers, and

by Channy Yun (윤석찬) on February 16, 2026 at 11:12 pm

Amazon EC2 Hpc8a instances, powered by 5th Gen AMD EPYC processors, deliver up to 40% higher performance, increased memory bandwidth, and 300 Gbps Elastic Fabric Adapter networking, helping customers accelerate compute-intensive simulations, engineering workloads, and tightly coupled HPC applications.

by Channy Yun (윤석찬) on February 16, 2026 at 9:25 pm

AWS launches Amazon SageMaker Inference for custom Amazon Nova models. You can now configure the instance types, auto-scaling policies, and concurrency settings for custom Nova model deployments to best meet their needs.

by Roger Nem on February 16, 2026 at 8:10 pm

Enterprise customers face an unprecedented security landscape where sophisticated cyber threats use artificial intelligence to identify vulnerabilities, automate attacks, and evade detection at machine speed. Traditional perimeter-based security models are insufficient when adversaries can analyze millions of attack vectors in seconds and exploit zero-day vulnerabilities before patches are available. The distributed nature of serverless architectures

by Suchindranath Hegde on February 16, 2026 at 6:08 pm

When running database migration with AWS DMS, you may encounter opportunities to streamline your workflow: interpreting error messages, understanding configuration parameter relationships, and navigating between the console, documentation, and community forums during troubleshooting. What if you could have an AI-powered assistant that understands your migration context, diagnoses issues in real-time, and provides actionable guidance—all within your workflow? In this post, we show you have Amazon Q integration with AWS DMS can transform your database migration experience.

by Esra Kayabali on February 16, 2026 at 5:28 pm

I joined AWS in 2021, and since then I’ve watched the Amazon Elastic Compute Cloud (Amazon EC2) instance family grow at a pace that still surprises me. From AWS Graviton-powered instances to specialized accelerated computing options, it feels like every few months there’s a new instance type landing that pushes performance boundaries further. As of

by Jason Pedreza on February 12, 2026 at 11:10 pm

In this post we introduce the blue/green deployment plugin for the AWS JDBC Driver, a built-in plugin that automatically handles connection routing, traffic management, and switchover detection during blue/green deployment switchovers. We show you how to configure and use the plugin to minimize downtime during database maintenance operations during blue/green deployment switchovers.

by Harish Bannai on February 11, 2026 at 9:58 pm

In this post, we demonstrate how you can implement a comprehensive monitoring strategy for Amazon RDS for SQL Server by combining AWS native tools with SQL Server diagnostic utilities. We explore AWS services including AWS Trusted Advisor, Amazon CloudWatch Database Insights, Enhanced Monitoring, and Amazon RDS events, alongside native SQL Server tools such as Query Store, Dynamic Management Views (DMVs), and Extended Events. By implementing these monitoring capabilities, you can identify potential bottlenecks before they impact your applications, optimize resource utilization, and maintain consistent database performance as your business scales.

by Ramesh Raghupathy on February 11, 2026 at 9:55 pm

In this post, we demonstrate how to efficiently migrate relational-style data from NoSQL to Aurora DSQL, using Kiro CLI as our generative AI tool to optimize schema design and streamline the migration process.

by Franco Abregu on February 11, 2026 at 6:59 pm

Blue/green deployments on Amazon Elastic Container Service (Amazon ECS) have long been a go-to pattern for shipping zero-downtime deployments. Historically, the recommended approach in the AWS Cloud Development Kit (AWS CDK) was to wire ECS to AWS CodeDeploy for traffic shifting, lifecycle hooks, and tight integration with AWS CodePipeline. In July 2025, Amazon ECS launched

by Felipe Gregolewitsch on February 10, 2026 at 11:36 pm

In this post, I show you how to use the new AWS DMS instance estimator tool for initial sizing recommendations, review monitoring strategies to collect accurate benchmark data, and present considerations on how to optimize your database migrations.

by Shashank Kalki on February 10, 2026 at 11:35 pm

In this post, we discuss configuring AWS DMS tasks to migrate HierarchyID columns from SQL Server to Aurora PostgreSQL-Compatible efficiently.

by Nikhil Patne on February 10, 2026 at 8:09 pm

In part one of this post, we introduced two methods, Amazon CloudFront Functions and Lambda@Edge, for executing custom code at CloudFront edge Locations to modify request origins dynamically. This second post provides step-by-step setup instructions and code samples for implementing the two approaches for a subscription-based routing use case: CloudFront Functions with query string parameters