Today, AWS Partner Central announces the general availability of Partner Connections, which allows AWS Partners to discover and connect with other Partners for collaboration on shared customer opportunities. With Partner Connections, Partners can co-sell joint solutions, accelerate deal progression, and expand their reach by teaming with other AWS Partners.

At the core of Partner Connections are two key capabilities: connections discovery and multi-partner opportunities. The connections discovery feature uses AI-powered recommendations to streamline Partner matchmaking, making it easier for Partners to find suitable collaborators and add them to their network. With multi-partner opportunities, Partners can work together seamlessly to create and manage joint customer opportunities in APN Customer Engagements (ACE). This integrated approach allows Partners to work seamlessly with AWS and other Partners on shared opportunities, reducing the operational overhead of managing multi-partner opportunities.

Partners can also create, update, and share multi-partner opportunities using the Partner Central API for Selling. Our CRM integration Partners can also enable this capability, allowing their customers to collaborate with other Partners and AWS on joint sales opportunities from their own customer relationship management (CRM) system.

Partner Connections is available to all eligible AWS Partners who have signed the ACE Terms and Conditions and have linked their AWS account to their Partner Central account. To get started, log in to AWS Partner Central and review the ACE user guide for more information.
 

 

​Today, AWS Partner Central announces the general availability of Partner Connections, which allows AWS Partners to discover and connect with other Partners for collaboration on shared customer opportunities. With Partner Connections, Partners can co-sell joint solutions, accelerate deal progression, and expand their reach by teaming with other AWS Partners. At the core of Partner Connections are two key capabilities: connections discovery and multi-partner opportunities. The connections discovery feature uses AI-powered recommendations to streamline Partner matchmaking, making it easier for Partners to find suitable collaborators and add them to their network. With multi-partner opportunities, Partners can work together seamlessly to create and manage joint customer opportunities in APN Customer Engagements (ACE). This integrated approach allows Partners to work seamlessly with AWS and other Partners on shared opportunities, reducing the operational overhead of managing multi-partner opportunities. Partners can also create, update, and share multi-partner opportunities using the Partner Central API for Selling. Our CRM integration Partners can also enable this capability, allowing their customers to collaborate with other Partners and AWS on joint sales opportunities from their own customer relationship management (CRM) system. Partner Connections is available to all eligible AWS Partners who have signed the ACE Terms and Conditions and have linked their AWS account to their Partner Central account. To get started, log in to AWS Partner Central and review the ACE user guide for more information.    

Today’s launch extends the abilities of Amazon Q Developer to access CloudZero’s cloud cost optimization platform without leaving the AWS Management Console. Administrators on the Q Developer Pro Tier can enable the new CloudZero plugin in the AWS Management Console by configuring the credentials to access these third party services. Builders can now easily get cost insights, billing information and learn more about CloudZero directly in the console using Q Developer. For example, customers can ask about insights and cost information using natural language by asking “@cloudzero list my top cost insights”.

When working with Amazon Q Developer in the AWS Management Console, prefix your questions with “@cloudzero”. Q Developer will call out to CloudZero’s APIs, assemble a natural language response, and return a summary with deep links to CloudZero. Access to CloudZero information directly in the Console allows builders avoid context switching and deep links let them investigate further as needed.

CloudZero is a leader in proactive cloud cost efficiency, enabling engineers to build cost-efficient software without slowing down innovation. CloudZero’s next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. CloudZero enables companies to understand their operational cloud spend and take an engineering-led approach to optimizing that spend.

To learn more about Amazon Q Developer, visit the service overview page.
 

 

​Today’s launch extends the abilities of Amazon Q Developer to access CloudZero’s cloud cost optimization platform without leaving the AWS Management Console. Administrators on the Q Developer Pro Tier can enable the new CloudZero plugin in the AWS Management Console by configuring the credentials to access these third party services. Builders can now easily get cost insights, billing information and learn more about CloudZero directly in the console using Q Developer. For example, customers can ask about insights and cost information using natural language by asking “@cloudzero list my top cost insights”.
When working with Amazon Q Developer in the AWS Management Console, prefix your questions with “@cloudzero”. Q Developer will call out to CloudZero’s APIs, assemble a natural language response, and return a summary with deep links to CloudZero. Access to CloudZero information directly in the Console allows builders avoid context switching and deep links let them investigate further as needed. CloudZero is a leader in proactive cloud cost efficiency, enabling engineers to build cost-efficient software without slowing down innovation. CloudZero’s next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. CloudZero enables companies to understand their operational cloud spend and take an engineering-led approach to optimizing that spend. To learn more about Amazon Q Developer, visit the service overview page.    

AWS Step Functions expands its AWS SDK integrations with support for 36 additional AWS services including AWS End User Messaging and Amazon Q Apps, an Amazon Q Business capability. You can leverage our breadth and depth of services in your workflow, without writing additional integration code.

AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to help customers build distributed applications at scale. By directly invoking AWS services or their API actions from AWS Step Functions, customers can write less code, simplify their architecture, and save costs. In addition to the 36 newly added services, Step Functions also added support for over 1,000 new API actions from new and existing AWS services such as AWS Transfer Family, Amazon EC2, AWS Lambda, and AWS Glue. For the full list of added services, visit AWS SDK service integrations.

These enhancements are now generally available in all regions where AWS Step Functions is available. Specific services and API actions are subject to the availability of the target services in the AWS Region. To learn more about AWS SDK integrations, visit the Developer Guide, or build a state machine using our AWS SDK integration tutorial.
 

 

​AWS Step Functions expands its AWS SDK integrations with support for 36 additional AWS services including AWS End User Messaging and Amazon Q Apps, an Amazon Q Business capability. You can leverage our breadth and depth of services in your workflow, without writing additional integration code. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to help customers build distributed applications at scale. By directly invoking AWS services or their API actions from AWS Step Functions, customers can write less code, simplify their architecture, and save costs. In addition to the 36 newly added services, Step Functions also added support for over 1,000 new API actions from new and existing AWS services such as AWS Transfer Family, Amazon EC2, AWS Lambda, and AWS Glue. For the full list of added services, visit AWS SDK service integrations. These enhancements are now generally available in all regions where AWS Step Functions is available. Specific services and API actions are subject to the availability of the target services in the AWS Region. To learn more about AWS SDK integrations, visit the Developer Guide, or build a state machine using our AWS SDK integration tutorial.    

AWS announces GeneralPurpose.4xlarge and GeneralPurpose.8xlarge bundles for Amazon WorkSpaces Personal and Amazon WorkSpaces Core, providing customers with powerful cloud desktops for resource-intensive Windows workloads.

GeneralPurpose.4xlarge bundles offer 16vCPUs and 64 GB RAM, while GeneralPurpose.8xlarge bundles provide 32vCPUs and 128 GB RAM. Both bundles include a 175GB root volume and a 100GB user volume and are available on WorkSpaces Personal and WorkSpaces Core. These new large bundles are designed to allow developers, scientists, financial analysts, and engineers to run demanding applications with ease. Developers can handle large compilation and development tasks with tools like Visual Studio, IntelliJ, and Eclipse, while engineers and scientists can run complex simulations with MatLab, GNU Octave, R, and Stata. With pay-as-you-go pricing and on-demand scaling, these bundles offer an efficient alternative to costly physical workstations.

The new General Purpose bundles are available today in AWS Regions where WorkSpaces Personal and WorkSpaces Core are offered, except Africa (Cape Town) and Israel (Tel Aviv). They support Windows Server 2022 and Windows 11 through BYOL options. You can launch these bundles through the Amazon WorkSpaces Console, or via APIs. To get started, sign in to the Amazon WorkSpaces Management Console. For pricing details, visit Amazon WorkSpaces Personal pricing or Amazon WorkSpaces Core pricing.

 

​AWS announces GeneralPurpose.4xlarge and GeneralPurpose.8xlarge bundles for Amazon WorkSpaces Personal and Amazon WorkSpaces Core, providing customers with powerful cloud desktops for resource-intensive Windows workloads. GeneralPurpose.4xlarge bundles offer 16vCPUs and 64 GB RAM, while GeneralPurpose.8xlarge bundles provide 32vCPUs and 128 GB RAM. Both bundles include a 175GB root volume and a 100GB user volume and are available on WorkSpaces Personal and WorkSpaces Core. These new large bundles are designed to allow developers, scientists, financial analysts, and engineers to run demanding applications with ease. Developers can handle large compilation and development tasks with tools like Visual Studio, IntelliJ, and Eclipse, while engineers and scientists can run complex simulations with MatLab, GNU Octave, R, and Stata. With pay-as-you-go pricing and on-demand scaling, these bundles offer an efficient alternative to costly physical workstations. The new General Purpose bundles are available today in AWS Regions where WorkSpaces Personal and WorkSpaces Core are offered, except Africa (Cape Town) and Israel (Tel Aviv). They support Windows Server 2022 and Windows 11 through BYOL options. You can launch these bundles through the Amazon WorkSpaces Console, or via APIs. To get started, sign in to the Amazon WorkSpaces Management Console. For pricing details, visit Amazon WorkSpaces Personal pricing or Amazon WorkSpaces Core pricing.  

Today, Amazon MemoryDB announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their MemoryDB service quotas, streamlining the quota management process and reducing the need for manual interventions.

With Service Quotas, customers can now view and manage their MemoryDB quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets.

Service Quotas for MemoryDB is available in all commercial regions and the AWS GovCloud (US) Regions where MemoryDB is available.

To learn more about Service Quotas and how to manage your MemoryDB quotas, visit the Service Quotas User Guide or the Amazon MemoryDB product page.

 

​Today, Amazon MemoryDB announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their MemoryDB service quotas, streamlining the quota management process and reducing the need for manual interventions. With Service Quotas, customers can now view and manage their MemoryDB quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Service Quotas for MemoryDB is available in all commercial regions and the AWS GovCloud (US) Regions where MemoryDB is available. To learn more about Service Quotas and how to manage your MemoryDB quotas, visit the Service Quotas User Guide or the Amazon MemoryDB product page.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in the AWS GovCloud (US-West) Region. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i.

C7i-flex instances offer the most common sizes, from large to 8xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. For compute-intensive workloads that need larger instance sizes (up to 192 vCPUs and 384 GiB memory) or continuous high CPU usage, you can leverage C7i instances.

C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo) and AWS GovCloud (US-West).

To learn more, visit Amazon EC2 C7i-flex instances.
 

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in the AWS GovCloud (US-West) Region. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i. C7i-flex instances offer the most common sizes, from large to 8xlarge, and are a great first choice for applications that don’t fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. For compute-intensive workloads that need larger instance sizes (up to 192 vCPUs and 384 GiB memory) or continuous high CPU usage, you can leverage C7i instances. C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo) and AWS GovCloud (US-West). To learn more, visit Amazon EC2 C7i-flex instances.    

AWS Elastic Beanstalk is expanding its Spot allocation strategy options to include capacity-optimized-prioritized, lowest-price and price-capacity-optimized, in addition to the existing default capacity-optimized strategy.

AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Customers can now enjoy additional allocation strategy options for Spot instances on Elastic Beanstalk such as capacity-optimized-prioritized, lowest-price, and price-capacity-optimized strategies. The capacity-optimized-prioritized strategy allows users to prioritize instance types while still focusing on available capacity, ideal for workloads with specific instance preferences. The lowest-price strategy requests your Spot Instances using the lowest priced pools to maximize cost savings. The price-capacity-optimized strategy balances both price and capacity availability, offering a middle ground for users seeking to optimize costs without compromising too much on the likelihood of interruptions.

These strategies are available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions.

For more information on Spot allocation strategies and Elastic Beanstalk please see our developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
 

 

​AWS Elastic Beanstalk is expanding its Spot allocation strategy options to include capacity-optimized-prioritized, lowest-price and price-capacity-optimized, in addition to the existing default capacity-optimized strategy. AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Customers can now enjoy additional allocation strategy options for Spot instances on Elastic Beanstalk such as capacity-optimized-prioritized, lowest-price, and price-capacity-optimized strategies. The capacity-optimized-prioritized strategy allows users to prioritize instance types while still focusing on available capacity, ideal for workloads with specific instance preferences. The lowest-price strategy requests your Spot Instances using the lowest priced pools to maximize cost savings. The price-capacity-optimized strategy balances both price and capacity availability, offering a middle ground for users seeking to optimize costs without compromising too much on the likelihood of interruptions. These strategies are available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information on Spot allocation strategies and Elastic Beanstalk please see our developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.    

Today, Amazon ElastiCache announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their ElastiCache service quotas, streamlining the quota management process and reducing the need for manual interventions.

With Service Quotas, customers can now view and manage their ElastiCache quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Customers will also benefit from visibility into quota usage for all on-boarded quotas via Amazon CloudWatch usage metrics, allowing for better resource planning and management.

Service Quotas for ElastiCache is available in all commercial regions and the AWS GovCloud (US) Regions.

To learn more about Service Quotas and how to manage your ElastiCache quotas, visit the Service Quotas User Guide or the Amazon ElastiCache product page.

 

​Today, Amazon ElastiCache announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their ElastiCache service quotas, streamlining the quota management process and reducing the need for manual interventions. With Service Quotas, customers can now view and manage their ElastiCache quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Customers will also benefit from visibility into quota usage for all on-boarded quotas via Amazon CloudWatch usage metrics, allowing for better resource planning and management. Service Quotas for ElastiCache is available in all commercial regions and the AWS GovCloud (US) Regions. To learn more about Service Quotas and how to manage your ElastiCache quotas, visit the Service Quotas User Guide or the Amazon ElastiCache product page.  

Today, Amazon MSK announced the availability of four additional instance sizes of Graviton3-based M7g instances for Express Brokers. With this launch, you now have seven different instance sizes to choose from to host Express Brokers in Amazon Managed Streaming for Apache Kafka (Amazon MSK), ranging from large to 16xlarge.

Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% as compared to standard Apache Kafka brokers. Express brokers come preconfigured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes.

Learn more here.
 

 

​Today, Amazon MSK announced the availability of four additional instance sizes of Graviton3-based M7g instances for Express Brokers. With this launch, you now have seven different instance sizes to choose from to host Express Brokers in Amazon Managed Streaming for Apache Kafka (Amazon MSK), ranging from large to 16xlarge. Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% as compared to standard Apache Kafka brokers. Express brokers come preconfigured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes. Learn more here.    

The Customer Carbon Footprint Tool is now available on a dedicated page in the AWS Billing console, under Cost and Usage Analysis. It is no longer in the Cost and Usage Reports page, as this page is being deprecated.

The Customer Carbon Footprint Tool supports customers on their sustainability journey. When signed into the AWS Billing console, customers can view their carbon emissions data for the past 36 months by geographical location and by AWS services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). All other services are reported as Other. They can also measure changes in their carbon footprint over time, as they deploy new resources in the cloud.

To learn more about the Customer Carbon Footprint tool, visit the product page or review the User Guide. Current AWS customers can visit the AWS Billing console to start using this tool as they progress on their sustainability journey.
 

 

​The Customer Carbon Footprint Tool is now available on a dedicated page in the AWS Billing console, under Cost and Usage Analysis. It is no longer in the Cost and Usage Reports page, as this page is being deprecated. The Customer Carbon Footprint Tool supports customers on their sustainability journey. When signed into the AWS Billing console, customers can view their carbon emissions data for the past 36 months by geographical location and by AWS services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). All other services are reported as Other. They can also measure changes in their carbon footprint over time, as they deploy new resources in the cloud. To learn more about the Customer Carbon Footprint tool, visit the product page or review the User Guide. Current AWS customers can visit the AWS Billing console to start using this tool as they progress on their sustainability journey.