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Research and Engineering Studio on AWS — 2026.03 Update

🔔 Research and Engineering Studio (RES) 2026.03 introduces administrator controls, expanded filesystem support, and session-management improvements to simplify cloud-based research desktops. Administrators can onboard multiple FSx for ONTAP volumes, configure DCV token expiration for longer session files, and add up to three custom links on the RES login page. The release also enables restarting VDIs in error states from the Sessions page, lets users reset VDI schedules to system defaults with one action, and includes assorted bug fixes and performance improvements across supported AWS Regions.
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AWS PCS adds slurmdbd and cgroups configuration settings

🔧 AWS Parallel Computing Service (AWS PCS) now supports additional Slurm settings for slurmdbd and cgroups accessible via the console, CLI, and SDK. Administrators can tune accounting behavior, privacy controls, and data retention through slurmdbd, while cgroups enable CPU binding, memory limits, and device access restrictions to prevent oversubscription. These options can be set at cluster creation or applied to existing clusters across all AWS PCS regions.
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AWS Announces EC2 I8ge Instances Across New Regions

🔔 AWS has expanded availability of Amazon EC2 I8ge instances to Europe (Stockholm) and multiple Asia Pacific regions including Mumbai, Malaysia, Singapore, and Sydney. These storage-optimized instances run on Graviton4 processors and leverage third-generation Nitro SSDs, delivering up to 60% better compute and up to 55% better real-time storage performance per TB versus prior Graviton2-based storage instances. I8ge offers up to 120 TB of local NVMe, high network throughput, and dedicated EBS bandwidth for low-latency, data-intensive workloads.
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Aurora DSQL Connector for Ruby (pg gem) Released on AWS

🔒 The new Aurora DSQL Connector for Ruby (pg gem) simplifies building Ruby applications on Aurora DSQL by automating IAM token generation, SSL configuration, and connection pooling. It removes the need for persistent user-generated passwords while preserving full compatibility with existing pg gem features. The connector also provides optional optimistic concurrency control (OCC) retry with exponential backoff and supports custom IAM credential providers and AWS profiles.
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AWS Lambda increases file descriptor limit to 4,096

🚀 AWS Lambda has raised the per-process file descriptor limit from 1,024 to 4,096 for functions running on Lambda Managed Instances (LMI). This 4x increase supports I/O-intensive and high-concurrency workloads by allowing larger connection pools and more simultaneous open files and sockets. The capability is available in all Regions where LMI is generally available and helps customers use managed EC2 instances with built-in routing, load-balancing, and auto-scaling without additional operational overhead.
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AWS AppConfig adds enhanced targeting for rollouts

🎯 AWS AppConfig now supports enhanced targeting controls for feature flag and configuration rollouts, enabling customers to bind values to specific segments or individual users during gradual deployments. The capability makes feature flags “sticky” by using customer-provided entity identifiers together with the AppConfig Agent, preserving targeted behavior as updates progress. This feature is available in all AWS Regions, including AWS GovCloud (US).
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AWS JDBC Wrapper adds automatic Valkey query caching

🔁 The AWS Advanced JDBC Wrapper now supports automated JDBC query caching using Valkey, including integration with Amazon ElastiCache for Valkey. Developers can add the wrapper dependency, enable the query cache plugin, configure database and cache endpoints, and mark which queries to cache via annotations or hints. Supported databases include Aurora and RDS for PostgreSQL, MySQL, and MariaDB. Caching result sets reduces database reads, lowers read latency, and can cut costs while improving application resilience.
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Amazon EC2 R8gd Instances with Large Local NVMe Storage

🚀 Amazon Web Services has launched EC2 R8gd instances with up to 11.4 TB of local NVMe SSD storage, powered by Graviton4 processors. These instances deliver up to 30% better compute performance versus Graviton3 and show improvements for I/O-intensive databases and real-time analytics workloads. Offered in 12 sizes with up to 50 Gbps network and 40 Gbps EBS bandwidth, select sizes include Elastic Fabric Adapter (EFA) and support adjustable bandwidth weighting for greater deployment flexibility.
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Amazon EC2 M8a Instances Now in Europe (Ireland) Region

🚀 Amazon Web Services has made M8a general-purpose Amazon EC2 instances available in the AWS Europe (Ireland) region starting today. Powered by 5th Gen AMD EPYC (Turin) processors with up to 4.5 GHz, these instances deliver up to 30% higher performance and up to 19% better price-performance versus M7a. They provide 45% more memory bandwidth, are SAP-certified, and come in 12 sizes including two bare-metal options. Built on sixth-generation AWS Nitro Cards, M8a targets latency-sensitive and high-throughput workloads and can be purchased via On-Demand, Savings Plans, or Spot instances.
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Amazon EC2 M8a Instances Now in GovCloud (US-West) Region

🚀 Amazon EC2 M8a instances are now available in AWS GovCloud (US-West). Powered by 5th Gen AMD EPYC processors (Turin) with up to 4.5 GHz, M8a delivers up to 30% higher performance and up to 19% better price-performance versus M7a, plus 45% more memory bandwidth for latency-sensitive workloads. The family includes 12 sizes, two bare-metal options, and is SAP-certified. Instances can be purchased via Savings Plans, On-Demand, or Spot.
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AWS Storage Gateway Terraform Modules Add AL2023 Support

🔒 AWS updated its Storage Gateway Terraform modules to deploy gateways on Amazon Linux 2023, improving security, reliability, and IaC consistency. The modules support all gateway types—Amazon S3 File Gateway, Tape Gateway, and Volume Gateway—in both Amazon EC2 and VMware environments. EC2 deployments now enforce IMDSv2 by default to mitigate credential theft and SSRF, and support optional Elastic IP association and simplified Active Directory integration. The update also prevents unexpected gateway replacements during routine Terraform operations.
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Agent Plugin for AWS Serverless Accelerates AI Dev Workflows

📦 AWS introduces the Agent Plugin for AWS Serverless, which integrates AI coding assistants like Kiro, Claude Code, and Cursor to simplify building, deploying, troubleshooting, and managing serverless applications. The plugin packages reusable agent skills, sub-agents, hooks, and MCP servers to provide contextual guidance across the development lifecycle. It supports Lambda integrations with common event sources, IaC workflows via SAM and CDK, long‑running stateful patterns with durable functions, and API design with API Gateway. Skills are distributed in the open Agent Skills format and are available in AI tooling that supports agent plugins or skills.
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AWS Batch: AMI status and AWS Health events for compute

🔔 AWS Batch now reports the AMI status for Batch-provided default Amazon Machine Images when you describe a compute environment, indicating LATEST or UPDATE_AVAILABLE. It also publishes AWS Health Planned Lifecycle Events to provide advance notification of scheduled changes such as AMI deprecations and other lifecycle activities. Both capabilities are available today in all Regions where AWS Batch runs and can be integrated with Amazon EventBridge to automate monitoring and remediation.
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Cursor IDE connects remotely to SageMaker Unified Studio

🔗 AWS announced remote connection from Cursor IDE to SageMaker Unified Studio via the AWS Toolkit extension. This integration lets data scientists, ML engineers, and developers use their local Cursor setup — including AI-powered code completion, natural language editing, and multi-file editing — while leveraging SageMaker's scalable compute and data. Authentication is handled securely through AWS IAM via the Toolkit, preserving custom Cursor settings and enterprise-grade security.
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AWS Batch Adds Quota Management and Preemption for SageMaker

⚙️ AWS Batch now supports quota management with job preemption for SageMaker Training, enabling prioritized GPU allocation and automatic preemption of lower-priority workloads. You can create up to 20 quota shares per job queue and choose resource-sharing strategies, with both cross-share and in-share preemption modes to restore or reallocate borrowed capacity. Capacity utilization is visible at queue, quota share, and job levels, and you can update job priorities after submission and set preemption retry limits. The feature integrates with the SageMaker Python SDK via the aws_batch module and is available in all AWS Regions where AWS Batch is offered; AWS provides an example notebook and user-guide documentation for implementation guidance.
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Amazon Route 53 Profiles Adds Granular IAM Controls

🔐 Amazon Route 53 Profiles now supports granular AWS Identity and Access Management (IAM) permissions. Administrators can create IAM policies that restrict users to specific operations—associate, disassociate, or update—on resource types such as private hosted zones, Resolver rules, and DNS Firewall rule groups. Permissions may be scoped by resource ARN, hosted zone name, Resolver rule domain name, DNS Firewall rule group priority range, or specific VPC associations to enable precise delegation.
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Amazon Aurora PostgreSQL adds express cluster creation

🚀 Amazon Aurora PostgreSQL introduces an express configuration that creates serverless clusters and enables query execution in seconds. These clusters are provisioned outside a VPC with an internet access gateway that supports the full PostgreSQL wire protocol and multi‑AZ availability. IAM-based passwordless admin authentication is enabled by default, and the tier is available under the AWS Free Tier. Use the RDS Console, AWS CLI, or SDKs to deploy.
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Amazon Aurora PostgreSQL Now Included in AWS Free Tier

🚀 Amazon has added Aurora PostgreSQL serverless to the AWS Free Tier for new accounts. New customers receive $100 in AWS credits at sign-up and can earn an additional $100 by using qualifying services including Amazon RDS. With the Free Plan you can create an Aurora PostgreSQL serverless cluster from the RDS Console, AWS CLI, or AWS SDKs using an express configuration to create and query a database in seconds. The Free Tier is available in Regions that support Aurora PostgreSQL serverless.
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Amazon SageMaker AI Adds Serverless Customization for Models

🚀 Amazon SageMaker AI now offers serverless model customization and reinforcement fine-tuning for 12 additional open‑weight models, enabling SFT, DPO, and advanced RFT techniques such as RLVR and RLAIF without infrastructure management. You can fine‑tune and evaluate these models on a pay‑per‑use basis across multiple regions. This simplifies alignment for complex, domain‑specific tasks and improves accuracy on verifiable tasks like code generation and structured extraction. No cluster setup, capacity planning, or distributed training expertise is required.
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AWS Expands EC2 I7ie Storage-Optimized Instances Now

🚀 AWS has expanded availability of I7ie Amazon EC2 instances to seven additional regions, targeting large storage I/O–intensive workloads. I7ie instances are powered by 5th Gen Intel Xeon processors (3.2 GHz all-core turbo), provide up to 120 TB local NVMe storage density and up to twice the vCPUs and memory of prior generations. Using 3rd-generation AWS Nitro SSDs, they deliver lower latency and improved real-time storage performance and are offered in nine sizes with up to 100 Gbps networking and 60 Gbps EBS bandwidth.
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