Amazon Connect now provides bulk removal of agent schedules, making day-to-day management of agent schedules more efficient. With this launch, you can now remove schedules for up to 400 agents for a single day, or up to 30 days for a single agent. For example, remove all schedules for next Monday as the contact center is going to be closed, or remove future shifts for an agent who is no longer with the organization. With bulk remove, managers no longer have to remove agent shifts one agent and one day at a time, thus improving manager productivity by reducing time spent on managing agent schedules.

This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.

 

​Amazon Connect now provides bulk removal of agent schedules, making day-to-day management of agent schedules more efficient. With this launch, you can now remove schedules for up to 400 agents for a single day, or up to 30 days for a single agent. For example, remove all schedules for next Monday as the contact center is going to be closed, or remove future shifts for an agent who is no longer with the organization. With bulk remove, managers no longer have to remove agent shifts one agent and one day at a time, thus improving manager productivity by reducing time spent on managing agent schedules. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.  

Starting today, we’re enhancing the AWS Migration Acceleration Program (MAP) with two key capabilities to help you accelerate your modernization efforts and drive customers’ adoption of AI:

• New “Move to AI” Modernization Pathway, featuring Amazon Bedrock and Amazon SageMaker. This pathway enables you to help customers transform their existing applications and business processes with proven AI patterns that deliver measurable business value.
• Amazon Connect is now a qualifying service in the MAP Modernization Strategic Partner Incentive (SPI). This enables you to help customers transform their contact centers with AI-powered features that increase agent productivity and enhance customer experiences.

These enhancements strengthen your ability to lead customers’ AI transformation and drive contact center modernization.

Learn more:

• AWS Partner Funding Benefits Program Guide
• MAP Modernization SPI Eligible Services

 

​Starting today, we’re enhancing the AWS Migration Acceleration Program (MAP) with two key capabilities to help you accelerate your modernization efforts and drive customers’ adoption of AI:

New “Move to AI” Modernization Pathway, featuring Amazon Bedrock and Amazon SageMaker. This pathway enables you to help customers transform their existing applications and business processes with proven AI patterns that deliver measurable business value.
Amazon Connect is now a qualifying service in the MAP Modernization Strategic Partner Incentive (SPI). This enables you to help customers transform their contact centers with AI-powered features that increase agent productivity and enhance customer experiences.

These enhancements strengthen your ability to lead customers’ AI transformation and drive contact center modernization. Learn more:

AWS Partner Funding Benefits Program Guide
MAP Modernization SPI Eligible Services  

EC2 Image Builder now integrates with Systems Manager Parameter Store, offering customers a streamlined approach for referencing SSM parameters in their image recipes, components, and distribution configurations. This capability allows customers to dynamically select base images within their image recipes, easily use configuration data and sensitive information for components, and update their SSM parameters with output latest images.

Prior to today, customers had to specify AMI IDs in their image recipes to use custom base images, leading to a constant maintenance cycle when these base images had to be updated. Furthermore, customers were required to create custom scripts to update SSM parameters with output images and to utilize SSM parameter values in components, resulting in substantial operational overhead. Now, customers can leverage SSM Parameters as inputs for their image recipes, enabling them to dynamically retrieve the latest base image. This integration extends to components, where SSM Parameters can be easily referenced to save, retrieve and use sensitive information in components, and to the distribution process, where SSM parameters can be updated with latest output images. These enhancements streamline the image building workflow, reduce manual intervention and improve overall efficiency.

This capability is available to all customers at no additional costs, and is enabled in all AWS commercial regions including AWS GovCloud (US), AWS China (Beijing) Region, operated by Sinnet, and in the AWS China (Ningxia) Region, operated by NWCD.

Customers can get started from the EC2 Image Builder Console, CLI, API, CloudFormation, or CDK, and learn more in the EC2 Image Builder documentation.
 

 

​EC2 Image Builder now integrates with Systems Manager Parameter Store, offering customers a streamlined approach for referencing SSM parameters in their image recipes, components, and distribution configurations. This capability allows customers to dynamically select base images within their image recipes, easily use configuration data and sensitive information for components, and update their SSM parameters with output latest images. Prior to today, customers had to specify AMI IDs in their image recipes to use custom base images, leading to a constant maintenance cycle when these base images had to be updated. Furthermore, customers were required to create custom scripts to update SSM parameters with output images and to utilize SSM parameter values in components, resulting in substantial operational overhead. Now, customers can leverage SSM Parameters as inputs for their image recipes, enabling them to dynamically retrieve the latest base image. This integration extends to components, where SSM Parameters can be easily referenced to save, retrieve and use sensitive information in components, and to the distribution process, where SSM parameters can be updated with latest output images. These enhancements streamline the image building workflow, reduce manual intervention and improve overall efficiency. This capability is available to all customers at no additional costs, and is enabled in all AWS commercial regions including AWS GovCloud (US), AWS China (Beijing) Region, operated by Sinnet, and in the AWS China (Ningxia) Region, operated by NWCD. Customers can get started from the EC2 Image Builder Console, CLI, API, CloudFormation, or CDK, and learn more in the EC2 Image Builder documentation.    

Today, Amazon Kinesis Data Streams introduces support for tagging and Attribute-Based Access Control (ABAC) for enhanced fan-out consumers. You can register enhanced fan-out consumers to have dedicated low latency read throughput per shard, up to 2MB/s. ABAC is an authorization strategy that defines access permissions based on tags that can be attached to IAM users, roles, and AWS resources for fine-grained access control. This new feature enables you to apply tags for allocating costs and simplifying permission management for your enhanced fan-out consumers.

With this launch, you can now tag your enhanced fan-out consumers used by different business units to track and allocate costs in AWS Cost Explorer without manually tracking costs per consumer. You can apply tags to enhanced fan-out consumers using the Kinesis Data Streams API or AWS Command Line Interface (CLI). Additionally, ABAC support for enhanced fan-out consumers allows you to use IAM policies to allow or deny specific Kinesis Data Streams API actions when the IAM principal’s tags match the tags on a registered consumer.

Tagging and Attribute-Based Access Control for enhanced fan-out consumers are available in all AWS Regions, including the AWS China and AWS GovCloud (US) Regions. To learn more about tagging and ABAC support for consumers, see Tag your resources and Attribute-Based Access Control (ABAC) for AWS.
 

 

​Today, Amazon Kinesis Data Streams introduces support for tagging and Attribute-Based Access Control (ABAC) for enhanced fan-out consumers. You can register enhanced fan-out consumers to have dedicated low latency read throughput per shard, up to 2MB/s. ABAC is an authorization strategy that defines access permissions based on tags that can be attached to IAM users, roles, and AWS resources for fine-grained access control. This new feature enables you to apply tags for allocating costs and simplifying permission management for your enhanced fan-out consumers. With this launch, you can now tag your enhanced fan-out consumers used by different business units to track and allocate costs in AWS Cost Explorer without manually tracking costs per consumer. You can apply tags to enhanced fan-out consumers using the Kinesis Data Streams API or AWS Command Line Interface (CLI). Additionally, ABAC support for enhanced fan-out consumers allows you to use IAM policies to allow or deny specific Kinesis Data Streams API actions when the IAM principal’s tags match the tags on a registered consumer. Tagging and Attribute-Based Access Control for enhanced fan-out consumers are available in all AWS Regions, including the AWS China and AWS GovCloud (US) Regions. To learn more about tagging and ABAC support for consumers, see Tag your resources and Attribute-Based Access Control (ABAC) for AWS.    

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• Desarrollo de productos
• Educación
• IA
• Salud
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The post Invertir en agentes de cambio del estado de Washington: Conozcan a los ganadores de la convocatoria abierta del AI for Good Lab appeared first on Source LATAM.

 

​The post Invertir en agentes de cambio del estado de Washington: Conozcan a los ganadores de la convocatoria abierta del AI for Good Lab appeared first on Source LATAM.  

Amazon Relational Database Service (Amazon RDS) on AWS Outposts now supports generation 7i instances for Amazon RDS for MySQL on Outposts and amazon RDS for PostgreSQL on Outposts. Amazon RDS on Outposts allows you to deploy fully managed database instances in your on-premises environments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. You can deploy Amazon RDS on Outposts to set up, operate, and scale MySQL, Microsoft SQL Server and PostgreSQL relational databases on-premises, just as you would in the cloud.

Amazon RDS on Outposts now support Generation 7i instances in Asia Pacific (Singapore), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm), US East (N. Virginia, Ohio), US West (N. California, Oregon) regions. For more information about Amazon RDS on Outposts, visit our product page, our documentation, or get started now.

 

​Amazon Relational Database Service (Amazon RDS) on AWS Outposts now supports generation 7i instances for Amazon RDS for MySQL on Outposts and amazon RDS for PostgreSQL on Outposts. Amazon RDS on Outposts allows you to deploy fully managed database instances in your on-premises environments. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. You can deploy Amazon RDS on Outposts to set up, operate, and scale MySQL, Microsoft SQL Server and PostgreSQL relational databases on-premises, just as you would in the cloud. Amazon RDS on Outposts now support Generation 7i instances in Asia Pacific (Singapore), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm), US East (N. Virginia, Ohio), US West (N. California, Oregon) regions. For more information about Amazon RDS on Outposts, visit our product page, our documentation, or get started now.  

Today, AWS announced Amazon EKS Hybrid Nodes support for Bottlerocket, the Linux-based operating system purpose-built for containers. EKS Hybrid Nodes unifies Kubernetes management across cloud, on-premises, and edge environments by enabling customers to use their on-premises infrastructure as nodes in EKS clusters. Customers can now use Bottlerocket as the node operating system for hybrid nodes running in VMware vSphere environments.

EKS Hybrid Nodes customers get the security and efficiency benefits of the Bottlerocket operating system purpose-built for containers and supported by AWS. Customers can now use the same Bottlerocket operating system with EKS across their cloud and on-premises environments to further strengthen their operational consistency.

EKS Hybrid Nodes supports VMware variants of Bottlerocket versions 1.37 and newer across all AWS Regions where EKS Hybrid Nodes is available. These variants support Kubernetes versions 1.28 and above. To get started, see the Amazon EKS User Guide.

 

​Today, AWS announced Amazon EKS Hybrid Nodes support for Bottlerocket, the Linux-based operating system purpose-built for containers. EKS Hybrid Nodes unifies Kubernetes management across cloud, on-premises, and edge environments by enabling customers to use their on-premises infrastructure as nodes in EKS clusters. Customers can now use Bottlerocket as the node operating system for hybrid nodes running in VMware vSphere environments. EKS Hybrid Nodes customers get the security and efficiency benefits of the Bottlerocket operating system purpose-built for containers and supported by AWS. Customers can now use the same Bottlerocket operating system with EKS across their cloud and on-premises environments to further strengthen their operational consistency. EKS Hybrid Nodes supports VMware variants of Bottlerocket versions 1.37 and newer across all AWS Regions where EKS Hybrid Nodes is available. These variants support Kubernetes versions 1.28 and above. To get started, see the Amazon EKS User Guide.  

AWS Budgets now offers enhanced filtering capabilities and cost metrics, providing greater flexibility in how customers track and manage their cloud costs. Customers can now create budgets for new cost metrics such as net unblended costs and net amortized costs allowing monitoring for costs after discounts. Customers can also exclude dimension values when creating a budget and include existing Cost Explorer charge types such as reservation applied usage, Savings Plan Upfront Fee, and Savings Plan Covered Usage.

These new capabilities enable customers to budget against the actual cost of their applications, teams, or cost centers with support for automated discounts and advanced filtering. For example, customers can now create budgets that incorporate Savings Plans and Reservation discounts, ensuring alignment between budgeted amounts and actual invoiced costs. The new dimension exclusion capabilities allow customers to create more targeted budgets – for instance, a development team could track their project spending by excluding shared enterprise services, or a finance team could monitor regional spending by excluding global services.

These enhancements are available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about this new feature, AWS Budgets, and how to monitor costs, visit the AWS Budget product page and documentation.

 

​AWS Budgets now offers enhanced filtering capabilities and cost metrics, providing greater flexibility in how customers track and manage their cloud costs. Customers can now create budgets for new cost metrics such as net unblended costs and net amortized costs allowing monitoring for costs after discounts. Customers can also exclude dimension values when creating a budget and include existing Cost Explorer charge types such as reservation applied usage, Savings Plan Upfront Fee, and Savings Plan Covered Usage. These new capabilities enable customers to budget against the actual cost of their applications, teams, or cost centers with support for automated discounts and advanced filtering. For example, customers can now create budgets that incorporate Savings Plans and Reservation discounts, ensuring alignment between budgeted amounts and actual invoiced costs. The new dimension exclusion capabilities allow customers to create more targeted budgets – for instance, a development team could track their project spending by excluding shared enterprise services, or a finance team could monitor regional spending by excluding global services. These enhancements are available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To learn more about this new feature, AWS Budgets, and how to monitor costs, visit the AWS Budget product page and documentation.  

Amazon ElastiCache now supports Global Datastore in the Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Thailand), Africa (Cape Town), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE) Regions. Global Datastore is a feature of ElastiCache that provides fully managed, fast, reliable, and secure cross-Region replication. Using Global Datastore, you can write to your ElastiCache cluster in one Region and have the data available for read in two other cross-Region replica clusters, thereby enabling low-latency reads and disaster recovery across Regions.

Customers use Global Datastore for real-time applications with a global footprint, as it provides cross-Region replication with latency of typically under one second, increasing application responsiveness by providing geo-local reads closer to end users. In the unlikely event of regional degradation, one of the healthy cross-Region replica clusters can be promoted to become the primary cluster with full read and write capabilities. Once initiated, the promotion typically completes in less than a minute, allowing applications to remain available. To secure cross-Region data transfer traffic, Global Datastore uses encryption in transit.

To get started, you can set up a Global Datastore with an existing cluster, or create new clusters and designate a primary (active) cluster. Creating a Global Datastore takes only a few clicks in the AWS Management Console for ElastiCache or can be automated by downloading the latest AWS SDK or AWS CLI. For pricing and the regional availability, refer to the Amazon ElastiCache pricing page and our documentation.
 

 

​Amazon ElastiCache now supports Global Datastore in the Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Thailand), Africa (Cape Town), Canada West (Calgary), Europe (Milan, Spain, Zurich), Israel (Tel Aviv), Mexico (Central), and Middle East (Bahrain, UAE) Regions. Global Datastore is a feature of ElastiCache that provides fully managed, fast, reliable, and secure cross-Region replication. Using Global Datastore, you can write to your ElastiCache cluster in one Region and have the data available for read in two other cross-Region replica clusters, thereby enabling low-latency reads and disaster recovery across Regions. Customers use Global Datastore for real-time applications with a global footprint, as it provides cross-Region replication with latency of typically under one second, increasing application responsiveness by providing geo-local reads closer to end users. In the unlikely event of regional degradation, one of the healthy cross-Region replica clusters can be promoted to become the primary cluster with full read and write capabilities. Once initiated, the promotion typically completes in less than a minute, allowing applications to remain available. To secure cross-Region data transfer traffic, Global Datastore uses encryption in transit. To get started, you can set up a Global Datastore with an existing cluster, or create new clusters and designate a primary (active) cluster. Creating a Global Datastore takes only a few clicks in the AWS Management Console for ElastiCache or can be automated by downloading the latest AWS SDK or AWS CLI. For pricing and the regional availability, refer to the Amazon ElastiCache pricing page and our documentation.    

Today, AWS Systems Manager announces the launch of just-in-time node access, which helps remove long-standing permissions to nodes while maintaining operational efficiency. Customers can create zero standing privileges to nodes by requiring operators to request access to nodes managed by AWS Systems Manager that are running on AWS, hybrid, and multi-cloud environments before remotely connecting using AWS Systems Manager Session Manager.

As organizations grow, administrators need to track and control access to nodes. Just-in-time node access helps customers limit access to their systems and data to only when needed. Administrators can enable dynamic, time-bound access to nodes through policy-based approvals, controlling who can access which nodes and when. The policies determine whether an operator is denied access, automatically approved, or must obtain human approval before remotely connecting to nodes. Administrators can also increase visibility into Remote Desktop Protocol (RDP) sessions by recording session activity and storing recordings in S3.

AWS Systems Manager just-in-time node access is available in the following AWS Regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Ireland), Europe (London), Europe (Paris), South America (São Paulo), US East (N. Virginia), US East (Ohio), US West (N. California), and US West (Oregon). Just-in-time node access can be enabled in individual accounts, select organization units (OUs), or across an entire organization through the AWS Systems Manager console.

To get started, visit our user guide. To learn more about pricing, visit our pricing page.

 

​Today, AWS Systems Manager announces the launch of just-in-time node access, which helps remove long-standing permissions to nodes while maintaining operational efficiency. Customers can create zero standing privileges to nodes by requiring operators to request access to nodes managed by AWS Systems Manager that are running on AWS, hybrid, and multi-cloud environments before remotely connecting using AWS Systems Manager Session Manager. As organizations grow, administrators need to track and control access to nodes. Just-in-time node access helps customers limit access to their systems and data to only when needed. Administrators can enable dynamic, time-bound access to nodes through policy-based approvals, controlling who can access which nodes and when. The policies determine whether an operator is denied access, automatically approved, or must obtain human approval before remotely connecting to nodes. Administrators can also increase visibility into Remote Desktop Protocol (RDP) sessions by recording session activity and storing recordings in S3. AWS Systems Manager just-in-time node access is available in the following AWS Regions: Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (Stockholm), Europe (Ireland), Europe (London), Europe (Paris), South America (São Paulo), US East (N. Virginia), US East (Ohio), US West (N. California), and US West (Oregon). Just-in-time node access can be enabled in individual accounts, select organization units (OUs), or across an entire organization through the AWS Systems Manager console. To get started, visit our user guide. To learn more about pricing, visit our pricing page.