Tag: Internet

Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) and U7i-12TB instances (u7i-12tb.224xlarge) are now available in AWS Asia Pacific (Singapore) region. 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.

Amazon SageMaker HyperPod now supports flexible instance groups, enabling customers to specify multiple instance types and multiple subnets within a single instance group. Customers running training and inference workloads on HyperPod often need to span multiple instance types and availability zones for capacity resilience, cost optimization, and subnet utilization, but previously had to create and manage a separate instance group for every instance type and availability zone combination, resulting in operational overhead across cluster configuration, scaling, patching, and monitoring. With flexible instance groups, you can define an ordered list of instance types using the new InstanceRequirements parameter and provide multiple subnets across availability zones in a single instance group. HyperPod provisions instances using the highest-priority type first and automatically falls back to lower-priority types when capacity is unavailable, eliminating the need for customers t

Amazon Elastic Container Registry (Amazon ECR) now automatically discovers and syncs OCI referrers, such as image signatures, SBOMs, and attestations, from upstream registries into your Amazon ECR private repositories with its pull through cache feature. Previously, when you listed referrers on a repository with a matching pull through cache rule, Amazon ECR would not return or sync referrers from the upstream repository. This meant that you had to manually list and fetch the upstream referrers. With today's launch, Amazon ECR's pull through cache will now reach upstream during referrers API requests and automatically cache related referrer artifacts in your private repository. This enables end-to-end image signature verification, SBOM discovery, and attestation retrieval workflows to work seamlessly with pull through cache repositories without requiring any client-side workarounds. This feature is available today in all AWS Regions where Amazon ECR p

Today, AWS Deadline Cloud announces an AI-powered troubleshooting assistant that helps you quickly diagnose and resolve render job failures. AWS Deadline Cloud is a fully managed service that simplifies render management for computer-generated 2D/3D graphics and visual effects for films, TV shows, commercials, games, and industrial design. Render job failures from missing assets, software errors, configuration mismatches, and resource constraints can stall production pipelines and waste compute resources. Previously, diagnosing these issues required specialized technical staff to manually parse logs and identify root causes — a process that is time-consuming, difficult to scale, and often unavailable to smaller studios. The new Deadline Cloud assistant investigates failed jobs you identify, analyzes logs and metrics, detects common issues, and provides troubleshooting recommendations based on industry best practices and a pre-trained knowledge base covering Deadline Cloud

Amazon Managed Grafana now supports creating new workspaces with Grafana version 12.4.  This release includes features that were launched as a part of open source Grafana versions 11.0 to 12.4, including Drilldown apps, scenes powered dashboards, variables in transformations, visualization enhancements, and new features with the Amazon CloudWatch plugin. Queryless Drilldown apps enable customers to perform point-and-click exploration of Prometheus metrics, Loki logs, Tempo traces, and Pyroscope profiles. The Scenes-powered rendering engine boosts dashboard performance. Amazon CloudWatch Logs adds support for PPL and SQL queries, cross-account Metrics Insights, and log anomaly detection. The rebuilt table visualization improves performance with CSS cell styling and interactive Actions buttons, while trendline transformations and navigation bookmarks enhance data exploration. Grafana 12.4

AWS Clean Rooms now supports configurable Spark properties for PySpark jobs, offering customers the ability to optimize their workloads based on their performance and scale requirements. With this launch, customers can customize Spark settings such as memory overhead, task concurrency, and network timeouts for each analysis that uses PySpark, the Python API for Apache Spark. For example, a pharmaceutical research company collaborating with healthcare organizations for real-world clinical trial data can set specific memory tuning for large-scale workloads to improve performance and optimize costs.  AWS Clean Rooms helps companies and their partners easily analyze and collaborate on their collective datasets without revealing or copying one another’s underlying data. For mor

SageMaker JumpStart now offers optimized deployments, enabling customers to deploy foundation models with pre-configured settings tailored to specific use cases and performance constraints. SageMaker JumpStart optimized deployments simplify model deployment by offering task-aware configurations that optimize for cost, throughput, or latency based on your workload requirements - whether content generation, summarization, or Q&A. This launch includes support for 30+ popular models from Meta, Microsoft, Mistral AI, Qwen, Google, and TII, with visibility into key performance metrics like P50 latency, time-to-first token (TTFT), and throughput before deployment. With SageMaker JumpStart optimized deployments, customers can select from use case-specific configurations (such as generative writing or chat-style interactions) and choose optimization targets including cost-optimized, throughput-optimized, latency-optimized, or balanced performance. Models deploy to SageMaker AI Ma

Amazon CloudWatch RUM (Real User Monitoring) is a feature of Amazon CloudWatch that enables developers and operations teams to collect, view, and analyze client-side performance data from real end-user sessions in web and mobile applications. With its expansion to the AWS European Sovereign Cloud, customers operating under strict European data residency and sovereignty requirements can now monitor their web application performance without data leaving the sovereign boundary. This capability is designed for enterprises, public sector organizations, and regulated industries in Europe that require full control over where their data is stored and processed. CloudWatch RUM helps teams proactively identify and resolve performance bottlenecks across both web and mobile applications by surfacing real-time metrics such as page load times, JavaScript errors, HTTP failures, and mobile-specific signals like crash rates and network latency — enabling faster root cause analysis and impr

Amazon CloudWatch now supports auditing telemetry configuration and enabling telemetry from AWS services such as Amazon EC2, Amazon VPC, and AWS CloudTrail across multiple AWS Regions from a single region. Customers can enable the telemetry auditing feature for their account or organization across all supported regions at once and create enablement rules that automatically apply to selected regions or all available regions. With today's launch, customers can scope enablement rules to specific regions or all supported regions. For example, a central security team can create a single organization-wide enablement rule for VPC Flow Logs that applies across all regions, ensuring consistent telemetry collection for every VPC across every account. Rules configured for all regions automatically expand to include new regions as they become available. CloudWatch's cross-region telemetry configuration and enablement rule is available in all AWS commercial regions. Standard Clou

AWS Elastic Disaster Recovery (AWS DRS) is now available in the AWS European Sovereign Cloud, enabling organizations with data sovereignty requirements to protect their mission-critical workloads with disaster recovery on AWS. AWS DRS minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery, with Recovery Point Objectives (RPOs) measured in seconds and Recovery Time Objectives (RTOs) typically in minutes. With AWS DRS, you can recover applications from physical infrastructure, VMware vSphere, Microsoft Hyper-V, and cloud infrastructure. AWS DRS uses a unified process for testing, recovery, and failback for a wide range of applications, including critical databases such as Oracle, MySQL, and SQL Server, and enterprise applications such as SAP. AWS Elastic Disaster Recovery is available in t