11/26/2024, 12:00:00 AM ~ 11/27/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS PrivateLink now supports cross-region connectivity

AWS PrivateLink now supports native cross-region connectivity. Until now, Interface VPC endpoints only supported connectivity to VPC endpoint services in the same region. This launch enables customers to connect to VPC endpoint services hosted in other AWS Regions in the same AWS partition over Interface endpoints.\n As a service provider, you can enable access to your VPCE service for customers in all existing and upcoming AWS Regions without the need to setup additional infrastructure in each region. As a service consumer, you can privately connect to VPCE services in other AWS Regions without the need to setup cross-region peering or exposing your data over the public internet. Cross-region enabled VPCE services can be accessed through Interface endpoints at a private IP address in your VPC, enabling simpler and more secure inter-region connectivity. To learn about pricing for this feature, please see the AWS PrivateLink pricing page. The capability is available in US East (N. Virginia), US West (Oregon), Europe (Ireland), Asia Pacific (Singapore), South America (São Paulo), Asia Pacific (Tokyo) and Asia Pacific (Sydney) Regions. To learn more, visit AWS PrivateLink in the Amazon VPC Developer Guide.

Amazon Aurora now supports Graviton4-based R8g database instances

AWS Graviton4-based R8g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and Amazon Aurora with MySQL compatibility in US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt) regions. R8g instances offer larger instance sizes, up to 48xlarge and features an 8:1 ratio of memory to vCPU, and the latest DDR5 memory. Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon Aurora databases, depending on database engine, version, and workload.\n You can spin up R8g database instances in the Amazon RDS Management Console or using the AWS CLI. Upgrading a database instance to R8g instance family requires a simple instance type modification. For more details, refer to the Aurora documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.

Introducing Advanced Scaling in Amazon EMR Managed Scaling

We are excited to announce Advanced Scaling, a new capability in Amazon EMR Managed Scaling which provides customers increased flexibility to control the performance and resource utilization of their Amazon EMR on EC2 clusters. With Advanced Scaling, customers will be able to configure the desired resource utilization or performance levels for their cluster, and Amazon EMR Managed Scaling will leverage the customers intent to intelligently scale the cluster and optimize cluster compute resources.\n Customers appreciate the simplicity of Amazon EMR Managed Scaling. However, there are instances where the default Amazon EMR Managed Scaling algorithm might lead to cluster under-utilization for specific customer’s workload. For instance, clusters running multiple tasks of relatively short duration (task runtime of 10 seconds or less), Amazon EMR Managed Scaling by default scales up the cluster aggressively and conservatively scale it down to avoid negative impact to job run times. While this is the right approach for SLA-sensitive workloads, it might not be optimal for cost sensitive workloads. With Advanced Scaling, customer can now configure Amazon EMR Managed Scaling behavior suitable for their workload type and we will apply tailored optimization to intelligently add or remove nodes from the clusters. To get started with Advanced Scaling, you can set the ScalingStrategy and UtilizationPerformanceIndex parameters either when creating a new Managed Scaling policy, or updating an existing Managed Scaling policy. Advanced Scaling is available with Amazon EMR release 7.0 and later and is available in all regions where Amazon EMR Managed Scaling is available. For more details, please refer to our Advanced Scaling documentation.

Amazon EBS announces Time-based Copy for EBS Snapshots

Today, Amazon Elastic Block Store (Amazon EBS), a high-performance block storage service, announces the general availability of Time-based Copy. This new feature helps you meet your business and compliance requirements by ensuring that your EBS Snapshots are copied within and across AWS Regions within a specified timeframe.\n Customers use EBS Snapshots to back up their EBS volumes, and copy them across multiple AWS Regions and accounts, for disaster recovery, data migration and compliance purposes. Time-based Copy gives you predictability when copying your snapshots across Regions. With this feature, you can specify a desired completion duration, ranging from 15 minutes to 48 hours, for individual copy requests, ensuring that your EBS Snapshots meet their duration requirements or Recovery Point Objectives (RPOs). You can now also monitor your Copy operations via EventBridge and the new SnapshotCopyBytesTransferred CloudWatch metric, available by default at a 1-minute frequency at no additional charge. Amazon EBS Time-based Copy is available in all AWS commercial Regions and the AWS GovCloud (US) Regions, through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. For pricing information, please visit the EBS pricing page. To learn more, see the technical documentation for Time-based Copy for Snapshots.

Amazon EFS now supports up to 2.5 million IOPS per file system

Amazon EFS now supports up to 2.5 million read IOPS and up to 500,000 write IOPS per file system, a 10x increase over the previous limits, making it easier to power machine learning (ML) research, multi-tenant SaaS, genomics, and other data-intensive workloads on AWS.\n Amazon EFS provides serverless, fully elastic file storage that makes it simple to set up and run file workloads on AWS. With this launch, Amazon EFS supports up to 2.5 million read IOPS and up to 500,000 write IOPS per file system. Now, applications that demand millions of IOPS and tens of GiB per second of throughput performance, such as analytics user shares supporting hundreds of data scientists, multi-tenant SaaS applications supporting thousands of customers, and distributed applications processing petabytes of genomics data, can easily scale to achieve the required highest level of performance. The increased IOPS limits are available for all new EFS General Purpose file systems using the Elastic Throughput mode in all AWS commercial regions, except in AWS China Regions. For new file systems, you can request an IOPS limit increase in the Amazon EFS Service Quota console. To learn more, see the Amazon EFS Documentation or create a file system using the Amazon EFS Console, API, or AWS CLI.

Colombian Sellers and Channel Partners now available in AWS Marketplace

AWS Marketplace now enables customers to discover and subscribe to software from Colombia Independent Software Vendors (ISVs) and Channel Partners. This expansion serves to increase the breadth of software and data offerings, adding to the 20,000+ software listings and data products from 5000+ sellers.\n Starting today, AWS Marketplace customers around the world can directly procure software and data products from ISVs in Colombia, making it easier than ever to reach data-driven decisions and build operations in the cloud. In addition, AWS Marketplace customers can now purchase software through regional and local Channel Partners in Colombia, who offer knowledge of their business, localized support, and trusted expertise, through Channel Partner Private Offers (CPPO). Software from Colombian ISVs such as Software Colombia, CARI AI and Nuevosmedios are now available in AWS Marketplace. In addition, Channel Partners such as Ikusi, Axity Colombia, Netdata, and AndeanTrade are now able to sell software in AWS Marketplace through CPPO. ISVs and Channel Partners from Colombia join the ever-growing offerings from AWS Marketplace and more products are added regularly. AWS Marketplace is a curated digital catalog of third-party software that makes it easy for customers to find, buy, and deploy solutions that run on Amazon Web Services (AWS). For more information on listing in AWS Marketplace, please visit the AWS Marketplace Seller Guide. For more information on purchasing solutions through AWS Marketplace, please visit the AWS Marketplace Buyer Guide.

Amazon EC2 R7g instances are now available in AWS Middle East (Bahrain) region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R7g instances are available in Middle East (Bahrain) region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.\n Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 R7g. 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.

Amazon Redshift multi-data warehouse writes through data sharing is now generally available

AWS announces the general availability of Amazon Redshift multi-data warehouse writes through data sharing. You can now start writing to Amazon Redshift databases from multiple Amazon Redshift data warehouses in just a few clicks. The written data is available to all Amazon Redshift warehouses as soon as it is committed. This allows your teams to flexibly scale compute by adding warehouses of different types and sizes based on their write workloads’ price-performance needs, isolate compute to more easily meet your workload performance requirements, and easily and securely collaborate with other teams.\n With Amazon Redshift multi-data warehouse writes through data sharing, you can easily keep extract, load and transform (ETL) jobs more predictable by splitting workloads between multiple warehouses, helping you meet your workload performance requirements with less time and effort. You can track usage and control costs as each team or application can write using its own warehouse, regardless of where the data is stored. You can use different types of RA3 and Serverless warehouses across different sizes to meet each individual workload’s price-performance needs. Your data is immediately available across AWS accounts and regions once committed, enabling better collaboration across your organization. Amazon Redshift multi-warehouse writes through data sharing is available for RA3 provisioned clusters and Serverless workgroups in all AWS regions where Amazon Redshift data sharing is supported. To get started with Amazon Redshift multi-warehouse writes through data sharing, visit the documentation page.

Amazon Q Developer now provides natural language cost analysis

Today, AWS announces the addition of cost analysis capabilities to Amazon Q Developer, allowing customers to retrieve and interpret their AWS cost data through natural language interactions. Amazon Q Developer is a generative AI-powered assistant that helps customers build, deploy, and operate applications on AWS. The cost analysis capability helps users of all skill levels to better understand and manage their AWS spending without previous knowledge of AWS Cost Explorer.\n Customers can now ask Amazon Q Developer questions about their AWS costs such as “Which region had the largest cost increase last month?” or “What services cost me the most last quarter?”. Q interprets these questions, analyzes the relevant cost data, and provides easy-to-understand responses. Each answer includes transparency on the Cost Explorer parameters used and a link to visualize the data in Cost Explorer. This feature is now available in all AWS Regions where Amazon Q Developer is supported. Customers can access it via the Amazon Q icon in the AWS Management Console. To get started, see the AWS Cost Management user guide.

Amazon QuickSight now supports prompted reports and reader scheduling for pixel-perfect reports

We are enabling Amazon QuickSight readers to generate filtered views of pixel-perfect reports and create schedules to deliver reports via email. Readers can create up to five schedules per dashboard for themselves. Previously, only dashboard owners could create schedules and only on the default (author published) view of the dashboard. Now, if an author has added controls to the pixel-perfect report, schedules can be created or updated to respect selections on the filter control.\n These features empower each user to create the view of pixel perfect report that they are interested in and send them as scheduled reports. Authors can create filter controls (prompts) for different audiences to customize the view they are looking for. Readers can use the prompts to filter data and schedule it as a report. Therefore, it ensures that customers receive reports that they are interested in and when they are interested in them. Prompted Reports and Reader Scheduling are now available in all supported Amazon QuickSight regions - see here for QuickSight regional endpoints. For more on how to set up this setting, go to our documentation for reader scheduling and documentation for prompted reports.

Amazon ECR announces 10x increase in repository limit to 100,000

Amazon Elastic Container Registry (ECR) now supports a 10x increase in the default limit for repositories per region per account to 100,000, up from the previous limit of 10,000. This change better aligns with your growth needs and saves you time from not having to request limit increases till 100,000 repositories. You still have the flexibility to adjust the new limit and request additional increases if you require more than 100,000 repositories per registry.\n The new limit increase is already applied to your current registries and is available in all AWS commercial and Gov Cloud (US) regions. To learn more about default ECR service limits, please visit our documentation. You can learn more about storing, managing and deploying container images and artifacts with Amazon ECR, including how to get started, from our product page and user guide.

Amazon EC2 C7g instances are now available in additional regions

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances are available in Europe (Paris) and Asia Pacific (Osaka) Regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.\n Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 C7g. 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.

Amazon RDS for PostgreSQL, MySQL, and MariaDB now supports M8g and R8g database instances

AWS Graviton4-based M8g and R8g database (DB) instances are now generally available for Amazon Relational Database Service (RDS) for PostgreSQL, MySQL, and MariaDB. Graviton4-based instances provide up to a 40% performance improvement and up to 29% price/performance improvement for on-demand pricing over Graviton3-based instances of equivalent sizes on Amazon RDS open source databases, depending on database engine, version, and workload.\n AWS Graviton4 processors are the latest generation of custom-designed AWS Graviton processors built on the AWS Nitro System. Both M8g and R8g DB instances are available with new 24xlarge and 48xlarge sizes. With these new sizes, M8g and R8g DB instances offer up to 192 vCPU, up to 50Gbps enhanced networking bandwidth, and up to 40Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). These instances are now available in the US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt) Regions. For complete information on pricing and regional availability, please refer to the Amazon RDS pricing page. For information on specific engine versions that support these DB instance types, please see the Amazon RDS documentation.

AWS Network Firewall expands the list of supported protocols and keywords in firewall rules

Today, we are excited to announce support for new protocols in AWS Network Firewall so you can protect your Amazon VPCs using application-specific inspection rules. With this launch, AWS Network Firewall will detect protocols like HTTP2, QUIC, and PostgreSQL so you can apply firewall inspection rules to these protocols. You can also use new rule keywords in TLS, SNMP, DHCP, and Kerberos rules to apply granular security controls to your stateful inspection rules.\n AWS Network Firewall is a managed firewall service that makes it easy to deploy essential network protections for all your Amazon VPCs. It’s flexible rules engine lets you define firewall rules that give you fine-grained control over network traffic. You can also enable AWS Managed Rules for intrusion detection and prevention signatures that protect against threats such as botnets, scanners, web attacks, phishing and emerging events. You can create AWS Network Firewall rules using Amazon VPC console, AWS CLI or the Network Firewall API. To see which regions AWS Network Firewall is available in, visit the AWS Region Table. For more information, please see the AWS Network Firewall product page and the service documentation.

Amazon EC2 R8g instances now available in AWS Asia Pacific (Mumbai)

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Asia Pacific (Mumbai) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. 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.\n AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g 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 R8g 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.

Amazon RDS for SQL Server Supports Minor Versions in November 2024

New minor versions of Microsoft SQL Server are now available on Amazon RDS for SQL Server, providing performance enhancements and security fixes. Amazon RDS for SQL Server now supports these latest minor versions of SQL Server 2016, 2017, 2019 and 2022 across the Express, Web, Standard, and Enterprise editions.\n We encourage you to upgrade your Amazon RDS for SQL Server database instances at your convenience. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS CLI. Learn more about upgrading your database instances from the Amazon RDS User Guide. The new minor versions include:  

SQL Server 2016 GDR for SP3 - 13.0.6455.2

SQL Server 2017 CU31 GDR - 14.0.3485.1

SQL Server 2019 CU29 GDR - 15.0.4410.1

SQL Server 2022 CU16 - 16.0.4165.4

These minor versions are available in all AWS commercial regions where Amazon RDS for SQL Server databases are available, including the AWS GovCloud (US) Regions. Amazon RDS for SQL Server makes it simple to set up, operate, and scale SQL Server deployments in the cloud. See Amazon RDS for SQL Server Pricing for pricing details and regional availability.

Announcing AWS Partner Assistant, a generative AI-powered virtual assistant for AWS Partners

AWS Partner Assistant, a generative AI–powered virtual assistant built on Amazon Q Business, is now available for Partners in AWS Partner Central and the AWS Marketplace Management Portal. Partner Assistant makes it easier for you to get quick answers to common questions—helping you boost productivity and accelerate your AWS Partner journey to unlock benefits faster.\n Partner Assistant enables you to reduce the need for manual searches by generating real-time guidance and concise summaries from guides and documentation that are available specifically for AWS Partners. For example, you can ask Partner Assistant how to list a software as a service (SaaS) product in AWS Marketplace, for details about available funding programs for Partners, or how to obtain the Generative AI Competency. The assistant’s responses include links to resources available in Partner Central and AWS Docs for further details. AWS Partner Assistant is available to all Partners who have linked their Partner Central and AWS accounts. Get started using AWS Partner Assistant by logging in to AWS Partner Central or the AWS Marketplace Management Portal and accessing the chat from the bottom right of your screen. Learn more about becoming an AWS Partner.

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