Tag: Internet

Amazon Timestream for InfluxDB now offers Advanced Metrics, providing comprehensive visibility into your database performance and health. This new capability automatically publishes detailed operational metrics from your Timestream for InfluxDB 2 instances directly to Amazon CloudWatch, enabling real-time monitoring and alerting without requiring additional configuration or instrumentation for both Single-AZ and Multi-AZ Timestream for InfluxDB 2 databases. With Advanced Metrics, customers can track critical database performance indicators, set up custom dashboards, and configure automated alerts based on predefined thresholds. This enhanced observability helps DevOps teams quickly identify potential issues, optimize database performance, and ensure high availability for time-series applications by providing deeper insights into resource utilization, query performance, and system health across their InfluxDB 2 environments. Amazon Timestream for InfluxDB Advanced M

Amazon CloudWatch Logs now supports expanded analytics and data protection capabilities for the Infrequent Access (Logs IA) ingestion class, including support for data protection, OpenSearch’s Piped Processing Language (PPL) and OpenSearch SQL. These enhancements make it easier for customers to perform flexible analytics and protect sensitive data while cost-effectively consolidating all your logs natively on AWS, making Logs IA ideal for ad-hoc troubleshooting and forensic analysis on infrequently accessed logs. Logs IA is a cost-effective ingestion class for consolidating logs that are queried occasionally, such as forensic investigations. Logs IA currently offers log analytics with Logs Insights Query Language, export to S3, and encryption with a lower ingestion price per GB compared to the Standard log class. With today’s launch, customers can now use OpenSearch SQL and OpenSearch PPL queries to perform advanced analytics. In addition, data protection allows customer

AWS Lambda now supports up to 32 GB of memory and 16 vCPUs for functions running on Lambda Managed Instances, enabling customers to run compute-intensive workloads such as large-scale data processing, media transcoding, and scientific simulations without managing any infrastructure. Customers can also configure the memory-to-vCPU ratio — 2:1, 4:1, or 8:1 — to match the resource profile of their workload. Lambda Managed Instances lets you run Lambda functions on managed Amazon EC2 instances with built-in routing, load balancing, and auto-scaling, giving you access to specialized compute configurations including the latest-generation processors and high-bandwidth networking, with no operational overhead. Customers building compute-intensive applications such as data processing pipelines, high-throughput API backends, and batch computation workloads require substantial memory and CPU resources to process large datasets, serve low-latency responses at scale, and run complex

Today, AWS announces the general availability of Visible services and Visible Regions account settings in the AWS Management Console. These settings allow you to customize which services and regions appear in the Management Console for authorized users in your account, helping your users easily identify what is available to them and simplifying navigation. You can configure these settings in the AWS Management Console under Unified Settings in the Account Settings tab. You can also configure these setting programmatically via User Experience Customization (UXC) in AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), AWS Cloud Development Kit (CDK), or AWS CloudFormation. The Visible services and Visible Regions settings are available in AWS Commercial Regions at no additional cost. Visit the AWS User Experience Customization documentation page and

Amazon GameLift Servers now supports Amazon EC2 5th through 8th generation instances, offering enhanced price-performance, efficiency, and flexibility for game server hosting. This update allows developers to leverage the latest advancements in EC2 compute, memory, and networking across three main instance families: General Purpose (M-series): Balanced CPU, memory, and networking for a wide range of game workloads. Compute Optimized (C-series): High-performance compute instances with a 2:1 memory ratio, ideal for CPU-intensive game servers. Memory Optimized (R-Series): Optimized for high-memory workloads with an 8:1 memory ratio, supporting complex simulations and large player sessions. Each new EC2 generation brings significant improvements: 5th Gen: Proven reliability with Intel processors with balanced performance 6th Gen: Includes AWS Graviton2 ARM-based options alongside Intel and AMD var

AWS HealthImaging now supports fine-grained access control, enabling organizations to securely manage access to medical imaging data at the DICOM study and series levels. Medical imaging workflows are typically organized around DICOM studies, which are stored in AWS HealthImaging as one or more image set resources. Now customers can easily grant users access to all image sets for a set of DICOM Studies or Series with easy-to-maintain IAM policies. Customers can now grant permissions for DICOMweb APIs using DICOM Study Instance UIDs and Series Instance UIDs directly in their IAM policies, eliminating the need to list individual image set ARNs. Customers can now create dynamic, temporary access grants using AWS Security Token Service (STS) session policies with low-latency authentication. This capability provides enhanced protection for Protected Health Information (PHI) by scoping access grants to specific Studies or Series rather than entire data stores. This launch better s

Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) and U7i-12TB instances (u7i-12tb.224xlarge) are now available in AWS Europe (Milan). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-8tb instances offer 8TiB of DDR5 memory, and U7i-12tb instances offer 12TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-8tb instances deliver 448 vCPUs; U7i-12tb instances deliver 896 vCPUs. Both instances support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 100 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the High Memory instances page.

AWS Step Functions expands its AWS SDK integrations with 28 additional services and over 1,100 new API actions across new and existing AWS services, including Amazon Bedrock AgentCore and Amazon S3 Vectors. This expansion enables you to orchestrate a broader set of AWS services directly from your workflows without writing integration code. AWS Step Functions is a visual workflow service capable of orchestrating over 220 AWS services to help customers build distributed applications at scale. With the Amazon Bedrock AgentCore service integration, you can invoke AI agent runtimes with built-in retries, run multiple agents in parallel using Map states, and automate agent provisioning workflows that create, update, and tear down agent infrastructure as workflow steps. This expansion also includes Amazon S3 Vectors for automating document ingestion pipelines that populate knowledge bases for AI applications. It also a

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies via a single API. Starting today, customers can use Palmyra Vision 7B from Writer on Amazon Bedrock to build generative AI applications that interpret and generate text from images. With Palmyra Vision 7B on Bedrock, customers can build generative AI applications for visual understanding tasks without managing inference infrastructure. The model has been trained on PixMo, a dataset of 1 million high-quality image-text pairs, and excels in visual question answering and image-text comprehension for enterprise applications. It enables visual understanding tasks such as document analysis, chart interpretation, and image-based question answering. Palmyra Vision 7B can extract handwritten text, classify objects and colors, interpret plots and dashboards, and answer natural-language questions about image content. Typical applications include a

Today, AWS announces the ability to remotely connect from Kiro and Cursor IDEs to Amazon SageMaker Studio. This new capability allows data scientists, ML engineers, and developers to leverage their Kiro and Cursor setup - including its spec-driven development, conversational coding, and automated feature generation capabilities - while accessing the scalable compute resources of Amazon SageMaker Studio. By connecting Kiro and Cursor to SageMaker Studio using the AWS Toolkit extension, you can eliminate context switching between your local IDE and cloud infrastructure, maintaining your existing agentic development workflows within a single environment for all your AWS analytics and AI/ML services. SageMaker Studio, offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (Open-Source Software), and VS Code IDE as remote IDE. Starting today, you can also use your customized local Kiro and Curs