Today, AWS announced support for job metadata logs for AWS Parallel Computing Service (PCS). With this launch, PCS can be configured to emit job completion logs to Amazon CloudWatch Logs, Amazon S3, and Amazon Data Firehose. Each job log will contain detailed metadata including information such as job submission time, start time, completed time, user who submitted the job, queue that processed the job, and Amazon EC2 instances used to run the job. Using these logs, you can analyze usage patterns, identify and troubleshoot job failures, track job wait times in the queue, generate user-level usage reports, and more.

This feature is available in all AWS Regions where PCS is available. You can enable job completion metadata logging on all newly-created PCS clusters in just a few clicks using the AWS Management Console. Visit our job completion documentation page to learn more.
 

​Today, AWS announced support for job metadata logs for AWS Parallel Computing Service (PCS). With this launch, PCS can be configured to emit job completion logs to Amazon CloudWatch Logs, Amazon S3, and Amazon Data Firehose. Each job log will contain detailed metadata including information such as job submission time, start time, completed time, user who submitted the job, queue that processed the job, and Amazon EC2 instances used to run the job. Using these logs, you can analyze usage patterns, identify and troubleshoot job failures, track job wait times in the queue, generate user-level usage reports, and more. This feature is available in all AWS Regions where PCS is available. You can enable job completion metadata logging on all newly-created PCS clusters in just a few clicks using the AWS Management Console. Visit our job completion documentation page to learn more.    

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Canada (Central) and AWS Asia Pacific (Malaysia) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.

AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS).

To learn more, see Amazon EC2 C8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Canada (Central) and AWS Asia Pacific (Malaysia) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon C7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. C8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 C8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

AWS is expanding resource control policies (RCPs) support to include two additional services: Amazon Elastic Container Registry and Amazon OpenSearch Serverless. This expansion enhances your ability to centrally establish a data perimeter across a wider range of AWS resources in your organization.

RCPs are available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more about RCPs and view the full list of supported AWS services, visit the Resource control policies (RCPs) documentation in the AWS Organizations User Guide.
 

​AWS is expanding resource control policies (RCPs) support to include two additional services: Amazon Elastic Container Registry and Amazon OpenSearch Serverless. This expansion enhances your ability to centrally establish a data perimeter across a wider range of AWS resources in your organization. RCPs are available in all AWS commercial Regions and AWS GovCloud (US) Regions. To learn more about RCPs and view the full list of supported AWS services, visit the Resource control policies (RCPs) documentation in the AWS Organizations User Guide.    

Amazon Web Services (AWS) announces the availability of Amazon EC2 I7ie instances in the AWS Europe (Spain) region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances.

I7ie instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to existing I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads.

I7ie instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications.

To learn more, visit the I7ie instances page.
 

​Amazon Web Services (AWS) announces the availability of Amazon EC2 I7ie instances in the AWS Europe (Spain) region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I7ie instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to existing I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads. I7ie instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 100 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications. To learn more, visit the I7ie instances page.    

Today, AWS announced major enhancements to its AWS Government Competency, introducing three categories to help public sector customers effectively identify and engage with validated AWS Partners. This update consolidates and streamlines AWS’s public sector partner offerings by merging the AWS Public Safety Competency and AWS Smart City Competency under the Government Competency.

This update features three distinct categories: Citizen Services, Defense & National Security, and Public Safety. The new structure enables government customers to quickly find partners with specific expertise aligned to their mission requirements. Partners in the program must meet rigorous technical validation requirements and demonstrate proven success in their designated categories, ensuring customers can confidently select partners who understand their unique compliance, security, and procurement needs.

AWS has also enhanced the program benefits for qualified partners, including new technical and go-to-market enablement resources, early access to new solutions development tools, and exclusive networking opportunities. Partners will receive specialized support tailored to their focus areas, helping them better serve government customers’ evolving needs.

The AWS Government Competency Program, which has grown from 24 partners in 2016 to more than 169 partners globally, will maintain its high standards through a new re-validation process. This ensures that partners continue to meet the technical expertise, customer success, and compliance requirements that government customers expect.

To learn more about the AWS Government Competency Program and find qualified partners, visit the AWS Government Competency webpage. Government organizations interested in working with AWS Government Competency Partners can start exploring partner solutions today.
 

​Today, AWS announced major enhancements to its AWS Government Competency, introducing three categories to help public sector customers effectively identify and engage with validated AWS Partners. This update consolidates and streamlines AWS’s public sector partner offerings by merging the AWS Public Safety Competency and AWS Smart City Competency under the Government Competency. This update features three distinct categories: Citizen Services, Defense & National Security, and Public Safety. The new structure enables government customers to quickly find partners with specific expertise aligned to their mission requirements. Partners in the program must meet rigorous technical validation requirements and demonstrate proven success in their designated categories, ensuring customers can confidently select partners who understand their unique compliance, security, and procurement needs. AWS has also enhanced the program benefits for qualified partners, including new technical and go-to-market enablement resources, early access to new solutions development tools, and exclusive networking opportunities. Partners will receive specialized support tailored to their focus areas, helping them better serve government customers’ evolving needs. The AWS Government Competency Program, which has grown from 24 partners in 2016 to more than 169 partners globally, will maintain its high standards through a new re-validation process. This ensures that partners continue to meet the technical expertise, customer success, and compliance requirements that government customers expect. To learn more about the AWS Government Competency Program and find qualified partners, visit the AWS Government Competency webpage. Government organizations interested in working with AWS Government Competency Partners can start exploring partner solutions today.    

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​The post Big data para grandes animales: cómo la IA ayuda a salvar a las jirafas en peligro de extinción de Tanzania appeared first on Source LATAM.  

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​The post Anunciamos una nueva colaboración estratégica para aportar claridad a la nomenclatura de los actores de amenazas appeared first on Source LATAM.  

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​The post Microsoft inaugura su primera Región de Datacenters en Chile para acelerar la innovación y el desarrollo económico local appeared first on Source LATAM.  

Amazon S3 Express One Zone now supports renaming objects with the new RenameObject API. For the first time in S3, you can rename existing objects atomically (with a single operation) without any data movement.

The RenameObject API simplifies data management in S3 directory buckets by transforming a multi-step rename operation into a single API call. You can now rename objects in S3 Express One Zone by specifying an existing object’s name as the source and the new name of the object as the destination within the same S3 directory bucket. With no data movement involved, this capability accelerates applications like log file management, media processing, and data analytics while lowering costs. For example, renaming a 1-terabyte log file can now complete in milliseconds, instead of hours, significantly accelerating applications and reducing cost.

You can use the RenameObject API in the S3 Express One Zone storage class in all AWS Regions where the storage class is available. You can get started with the new capability in S3 Express One Zone using the AWS SDKs, AWS CLI, AWS Management Console, Amazon S3 API, or Mountpoint for Amazon S3 (version 1.19.0 or higher). To learn more, visit the S3 User Guide.

​Amazon S3 Express One Zone now supports renaming objects with the new RenameObject API. For the first time in S3, you can rename existing objects atomically (with a single operation) without any data movement.
The RenameObject API simplifies data management in S3 directory buckets by transforming a multi-step rename operation into a single API call. You can now rename objects in S3 Express One Zone by specifying an existing object’s name as the source and the new name of the object as the destination within the same S3 directory bucket. With no data movement involved, this capability accelerates applications like log file management, media processing, and data analytics while lowering costs. For example, renaming a 1-terabyte log file can now complete in milliseconds, instead of hours, significantly accelerating applications and reducing cost. You can use the RenameObject API in the S3 Express One Zone storage class in all AWS Regions where the storage class is available. You can get started with the new capability in S3 Express One Zone using the AWS SDKs, AWS CLI, AWS Management Console, Amazon S3 API, or Mountpoint for Amazon S3 (version 1.19.0 or higher). To learn more, visit the S3 User Guide.  

Amazon EC2 Auto Scaling now offers the ability to filter out instance details from the DescribeAutoScalingGroups API with a new parameter. With IncludeInstances set to false, you can quickly access metadata and configurations about your Auto Scaling Groups without the overhead of instance details, reducing the size of the API response and improving API response time.

The new parameter is available in all commercial AWS Regions, and AWS GovCloud (US) Regions. To learn more, see the EC2 Auto Scaling API Reference.

​Amazon EC2 Auto Scaling now offers the ability to filter out instance details from the DescribeAutoScalingGroups API with a new parameter. With IncludeInstances set to false, you can quickly access metadata and configurations about your Auto Scaling Groups without the overhead of instance details, reducing the size of the API response and improving API response time. The new parameter is available in all commercial AWS Regions, and AWS GovCloud (US) Regions. To learn more, see the EC2 Auto Scaling API Reference.