AWS announces the general availability of new general-purpose Amazon EC2 M8a instances. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.

M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements.

M8a instances are built on the AWS Nitro System and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.

M8a instances are available in the following AWS Regions: US East (Ohio), US West (Oregon), and Europe (Spain). To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page or the AWS News blog.

 

​AWS announces the general availability of new general-purpose Amazon EC2 M8a instances. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.
M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements.
M8a instances are built on the AWS Nitro System and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.
M8a instances are available in the following AWS Regions: US East (Ohio), US West (Oregon), and Europe (Spain). To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page or the AWS News blog.  

Today, AWS announces a new pricing and cost estimation capability in Amazon Q Developer. Amazon Q Developer is the most capable generative AI-powered assistant for software development. With this launch, customers can now use Amazon Q Developer to get information about AWS product and service pricing, availability, and attributes, helping them select the right resources and estimate workload costs using natural language.

When architecting new workloads on AWS, customers need to estimate costs so they can evaluate cost/performance tradeoffs, set budgets, and plan future spending. Customers can now use Amazon Q Developer to retrieve detailed product attribute and pricing information using natural language, making it easier to estimate the cost of new workloads without having to review multiple pricing pages or specify detailed API request parameters. Customers can now ask questions about service pricing (e.g., “How much does RDS extended support cost?”), the cost of a planned workload (e.g., “I need to send 1 million notifications per month to email, and 1 million to HTTP/S endpoints. Estimate the monthly cost using SNS.”), or the relative costs of different resources (e.g., “What is the cost difference between an Application Load Balancer and a Network Load Balancer?”). To answer these questions, Amazon Q Developer retrieves information from the AWS Price List APIs.

To learn more, see Managing your costs using generative AI with Amazon Q Developer. To get started, open the Amazon Q chat panel in the AWS Management Console and ask a question about pricing.

 

​Today, AWS announces a new pricing and cost estimation capability in Amazon Q Developer. Amazon Q Developer is the most capable generative AI-powered assistant for software development. With this launch, customers can now use Amazon Q Developer to get information about AWS product and service pricing, availability, and attributes, helping them select the right resources and estimate workload costs using natural language. When architecting new workloads on AWS, customers need to estimate costs so they can evaluate cost/performance tradeoffs, set budgets, and plan future spending. Customers can now use Amazon Q Developer to retrieve detailed product attribute and pricing information using natural language, making it easier to estimate the cost of new workloads without having to review multiple pricing pages or specify detailed API request parameters. Customers can now ask questions about service pricing (e.g., “How much does RDS extended support cost?”), the cost of a planned workload (e.g., “I need to send 1 million notifications per month to email, and 1 million to HTTP/S endpoints. Estimate the monthly cost using SNS.”), or the relative costs of different resources (e.g., “What is the cost difference between an Application Load Balancer and a Network Load Balancer?”). To answer these questions, Amazon Q Developer retrieves information from the AWS Price List APIs. To learn more, see Managing your costs using generative AI with Amazon Q Developer. To get started, open the Amazon Q chat panel in the AWS Management Console and ask a question about pricing.  

AWS is announcing Amazon EC2 I7ie instances are now available in AWS South America (São Paulo) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon 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 (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver 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 I3en instances.

I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS).

To learn more, visit the I7ie instances page.

 

​AWS is announcing Amazon EC2 I7ie instances are now available in AWS South America (São Paulo) region. Designed for large storage I/O intensive workloads, I7ie instances are powered by 5th Gen Intel Xeon 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 (highest in the cloud) for storage optimized instances and offer up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, I7ie instances deliver 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 I3en instances. I7ie are high density storage optimized instances, ideal for workloads requiring fast local storage with high random read/write performance at very low latency consistency to access large data sets. These instances are available in 9 different virtual sizes and deliver up to 100Gbps of network bandwidth and 60Gbps of bandwidth for Amazon Elastic Block Store (EBS). To learn more, visit the I7ie instances page.  

Starting today, AWS Marketplace expands its Japan consumption tax (JCT) support for Channel Partner Private Offers (CPPOs), enhancing the tax experience for Independent Software Vendors (ISVs) and Channel Partners. For transactions where Japan ISVs authorize Japan Channel Partners to resell to Japan addressed buyers, AWS Japan G.K. («AWS Japan») will now collect the 10% JCT for the first leg of the transaction between ISVs and Channel Partners, issue a tax qualified invoice (TQI) to the Channel Partners and disburse the JCT to ISVs.

AWS Japan will continue to collect the 10% JCT for the second leg of the transaction between Japan Channel Partners and Japan buyers and issue a TQI to the buyers, as previously established under the Japan Marketplace Facilitator rule. This launch unifies the compliance across both transactions, creating a seamless tax experience.

This feature is applicable for Japan ISVs and Japan Channel Partners when transacting via the AWS Japan Marketplace Operator. To learn more, please visit the AWS Japan FAQ or AWS Marketplace Seller Guide.

 

​Starting today, AWS Marketplace expands its Japan consumption tax (JCT) support for Channel Partner Private Offers (CPPOs), enhancing the tax experience for Independent Software Vendors (ISVs) and Channel Partners. For transactions where Japan ISVs authorize Japan Channel Partners to resell to Japan addressed buyers, AWS Japan G.K. («AWS Japan») will now collect the 10% JCT for the first leg of the transaction between ISVs and Channel Partners, issue a tax qualified invoice (TQI) to the Channel Partners and disburse the JCT to ISVs. AWS Japan will continue to collect the 10% JCT for the second leg of the transaction between Japan Channel Partners and Japan buyers and issue a TQI to the buyers, as previously established under the Japan Marketplace Facilitator rule. This launch unifies the compliance across both transactions, creating a seamless tax experience. This feature is applicable for Japan ISVs and Japan Channel Partners when transacting via the AWS Japan Marketplace Operator. To learn more, please visit the AWS Japan FAQ or AWS Marketplace Seller Guide.  

Starting today, Amazon EC2 Im4gn Instances are available in Asia Pacific (Mumbai) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage.

The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication.

Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page. 

 

​Starting today, Amazon EC2 Im4gn Instances are available in Asia Pacific (Mumbai) region. Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of instance storage with the 2nd Generation AWS Nitro SSDs that are custom-designed by AWS for the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics. These instances help with transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads requiring fast access to data sets on local storage. The Im4gn instances also feature up to 100 Gbps networking and support for Elastic Fabric Adapter (EFA) for applications requiring high levels of inter-node communication. Get started with Im4gn instances by visiting the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs. To learn more, visit the Im4gn instances page.   

Today, AWS Marketplace announces enhanced pricing dimension capabilities, increasing limits and improving flexibility for sellers managing their product pricing. These enhancements increase the maximum pricing dimensions from 24 to 200, enable immediate use of new SaaS dimensions, and remove the 90-day price update restriction for dimensions without active subscriptions.

These enhancements address key product pricing needs for sellers offering complex enterprise software. With 200 dimensions each for contract and usage-based pricing, sellers can now fully represent pricing across multiple features, user types, and consumption metrics in a single listing; matching the same pricing structures they offer outside of AWS Marketplace. When sellers add new usage dimensions to their public offers, these become available immediately for use. For instance, when a seller launches a new feature, subscribers can now instantly access it. Similarly, for dimensions without active subscriptions, sellers can adjust prices to align with their external pricing strategies without waiting through multiple 90-day periods.

These enhancements to pricing dimensions are now available in all AWS Regions where AWS Marketplace is supported.

To learn more, visit the AWS Marketplace Seller Guide, or access the AWS Marketplace Management Portal to try the new capabilities.

 

​Today, AWS Marketplace announces enhanced pricing dimension capabilities, increasing limits and improving flexibility for sellers managing their product pricing. These enhancements increase the maximum pricing dimensions from 24 to 200, enable immediate use of new SaaS dimensions, and remove the 90-day price update restriction for dimensions without active subscriptions. These enhancements address key product pricing needs for sellers offering complex enterprise software. With 200 dimensions each for contract and usage-based pricing, sellers can now fully represent pricing across multiple features, user types, and consumption metrics in a single listing; matching the same pricing structures they offer outside of AWS Marketplace. When sellers add new usage dimensions to their public offers, these become available immediately for use. For instance, when a seller launches a new feature, subscribers can now instantly access it. Similarly, for dimensions without active subscriptions, sellers can adjust prices to align with their external pricing strategies without waiting through multiple 90-day periods. These enhancements to pricing dimensions are now available in all AWS Regions where AWS Marketplace is supported. To learn more, visit the AWS Marketplace Seller Guide, or access the AWS Marketplace Management Portal to try the new capabilities.  

Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts.

When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI.

This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.

 

​Starting today, Amazon VPC Lattice lets you configure the number of IPv4 addresses assigned to resource gateway elastic network interfaces (ENIs). This enhancement builds on VPC Lattice’s capability of providing access to resources on Layer-4 such as databases, clusters, domain names, etc. across multiple VPCs and accounts. When configuring a resource gateway, you can now specify the number of IPv4 addresses per ENI, which becomes immutable after setting. The IPv4 addresses are used for network address translation and determine the maximum number of concurrent IPv4 connections to a resource. You should consider your expected connection volume when configuring the IPv4 address count. By default, VPC Lattice assigns 16 IPv4 addresses per ENI. For IPv6, VPC Lattice always assigns a /80 CIDR per ENI. This feature is available at no additional cost in all AWS Regions where VPC Lattice is offered. For more information, visit the Amazon VPC Lattice product detail page and Amazon VPC Lattice documentation.  

AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers.

Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency.

This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only.

AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.

 

​AWS Marketplace now supports usage-based private offers in four new currencies: EUR, GBP, AUD, and JPY. AWS Marketplace Sellers and Channel Partners can now reach buyers globally without currency conversion complexity or foreign exchange risk by pricing their offers in these new currencies. For sellers, this means faster deal cycles, simplified cash flow management in local currency, and the ability to close larger deals with confidence. For AWS Marketplace buyers, software and services can now be procured in their preferred currency, eliminating foreign exchange risk in invoice amounts, and streamlining the procurement process for private offers. Sellers can now create private offers in EUR, GBP, AUD, and JPY, and receive their disbursements in the offer currency, regardless of pricing types, including contract with consumption-based pricing and usage-based (pay-as-you-go) pricing, in addition to contract-only pricing. For Channel Partner Private Offers (CPPO), the seller, channel partner, and buyer must all transact in the same currency. Sellers need to issue a resale authorization in the negotiated currency, and the channel partner then creates the CPPO in that currency. This functionality is available worldwide for all AWS Marketplace Sellers for all private offers. Public offers remain in USD only. AWS Marketplace Sellers can choose to get disbursed to a bank account in one of the eligible jurisdictions by updating your banking information and set your currency preferences in the AWS Marketplace Management Portal Settings page. To learn more, visit the documentation on local currency offers and disbursements.  

Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions.

AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows.

This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.

 

​Today, AWS announces the general availability of a new capability of AWS Service Quotas called automatic quota management. AWS Service Quotas helps you view and manage your quotas from a central location. This new feature monitors quota usage, and notifies customers before they run out of their allocated quotas supported on AWS Service Quotas. This helps customers with better visibility and proactive awareness about their quota usage, enabling them to scale their applications without interruptions. AWS customers can get notified of their quota usage with automatic quota management. Customers can configure their preferred notifications channels, such as email, SMS, or Slack, through Service Quotas console or API. Notifications are also available in AWS Health, and customers can subscribe to related AWS Cloudtrail events for automation workflows. This new capability is now available at no additional cost in all AWS commercial regions. To explore this feature and for details, please visit Service Quotas console and AWS Service Quotas documentation.  

Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs.

Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute.

To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.

 

​Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Seoul) and Canada (Central) regions. Each RPU provides 16 GB of memory. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to support a diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs. Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.