7/1/2024, 12:00:00 AM ~ 7/2/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS Direct Connect announces native 400 Gbps Dedicated Connections at select locations

AWS Direct Connect now offers native 400 Gbps Dedicated Connections to support your private connectivity needs to the cloud.\n AWS Direct Connect provides private, high-bandwidth connectivity between AWS and your data center, office, or colocation facility. Native 400 Gbps connections provide higher bandwidth, without the operational overhead of managing multiple 100 Gbps connections in a link aggregation group. The increased capacity delivered by 400 Gbps connections is particularly beneficial to applications that transfer large-scale datasets, such as for machine learning and large language model training or advanced driver assistance systems for autonomous vehicles. For production workloads, AWS recommends using connections in more than one AWS Direct Connect location to ensure resilience against device or colocation failure. To get started, follow our Resiliency Recommendations to determine the best resiliency model for your use case. After selecting a resiliency model, the AWS Direct Connect Resiliency Toolkit can guide you through the process for ordering redundant connectivity through the AWS Direct Connect Console or CLI/APIs. AWS encourages you to use the Resiliency Toolkit failover test feature to test your configurations before going live and set up active health monitoring using Amazon CloudWatch Network Monitor. Starting today, 400 Gbps Dedicated Connections are available at these locations. This list will be updated as 400 Gbps Dedicated Connections are made available at additional locations. The AWS Direct Connect pricing page has pricing information for 400 Gbps Dedicated Connections and the Direct Connect User Guide provides setup instructions. Sign into the Direct Connect Console today to order your 400 Gbps Dedicated Connection!

Amazon OpenSearch Ingestion adds support for ingesting data from self-managed sources

Amazon OpenSearch Ingestion now allows you to ingest data from self-managed OpenSearch, Elasticsearch and Apache Kafka clusters, eliminating the need to run and manage 3rd party tools like Logstash to migrate your data from self-managed sources into Amazon OpenSearch Service. Now you can seamlessly migrate or continuously replicate your data from all OpenSearch versions and Elasticsearch 7.x versions either on Amazon EC2 or on-premises environments into Amazon OpenSearch Service managed clusters or Serverless collections.\n You can now migrate data from all indices, or just specific indices, from one or more self-managed OpenSearch/Elasticsearch clusters to one or more Amazon OpenSearch Service managed clusters or Serverless collections. Amazon OpenSearch Ingestion will continually detect new indices in the self-managed source cluster that need to be processed and can even be scheduled to reprocess indices at a configurable interval to pick up on new documents. Similarly, Amazon OpenSearch Ingestion pipelines can consume data from one or more topics in your self-managed Kafka cluster and transform the data before writing it to Amazon OpenSearch Service or Amazon S3. You can check out the complete list of features in this blog post.

Announcing streamlined Migration Acceleration Program (MAP) funding and approval process in AWS Partner Central

Today, Amazon Web Services, Inc. (AWS) announces a new Migration Acceleration Program (MAP) template in AWS Partner Central with streamlined funding and approval processes to better support partner-led migrations. Eligible AWS Partners can leverage MAP to accelerate more customer migration opportunities, now scaling to support migrations up to $10M in annual recurring revenue, with a simple approval workflow and access to new Strategic Partner Incentives (SPIs).\n The new MAP template helps partners accelerate migration opportunities by providing better speed to market with fewer AWS approval stages. The simplified partner experience for submitting fund requests and cash claims in AWS Partner Funding Portal (APFP) automatically creates claim milestones and associates them with realized revenue outcomes for the MAP Mobilize phase. This improves overall partner productivity by avoiding the need to manually create individual claim milestones. The new MAP template also supports additional SPIs for new customer engagement and modernization opportunities. Partners can now easily get visibility to their funding investment status through Analytics tab in AWS Partner Central. The MAP template can be accessed by all partners at the Validated Stage in AWS Partner Central and AWS Migration Competency Partners. To learn more, review the 2024 MAP program guide.

Amazon API Gateway WebSocket APIs now available in 7 additional AWS Regions

Today, Amazon API Gateway has expanded the availability of WebSocket APIs to 7 additional AWS Regions: Asia Pacific (Jakarta), Europe (Zurich), Europe (Spain), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Israel (Tel Aviv), and Canada West (Calgary). With this launch, customers can build APIs with real-time bi-directional communication across all commercial AWS Regions.\n Amazon API Gateway is a fully managed service that makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale. WebSocket APIs enable real-time bi-directional communication, resulting in richer client-server interactions where services can push data to clients without requiring clients to make an explicit request. They are often used in real-time applications such as chat applications, collaboration platforms, multiplayer games, and financial trading platforms. WebSocket APIs have routes that can be integrated with backend HTTP endpoints, Lambda functions, or other AWS services.

AWS Application Migration Service supports Dynatrace post-launch action

Starting today, AWS Application Migration Service (AWS MGN) provides an action for installing the Dynatrace agent on your migrated instances. For each migrated server, you can choose to automatically install the Dynatrace agent to support your observability needs.\n Application Migration Service minimizes time-intensive, error-prone manual processes by automating the conversion of your source servers to run natively on AWS. It also helps simplify modernization of your migrated applications by allowing you to select preconfigured and custom optimization options during migration. This feature is now available in all of the Commercial regions where Application Migration Service is available. Access the AWS Regional Services List for the most up-to-date availability information. To start using Application Migration Service for free, sign in through the AWS Management Console. For more information, visit the Application Migration Service product page. For more information on Dynatrace and to create a trial account, visit the Dynatrace sign up page.

RDS for PostgreSQL supports PL/Rust crates serde, serde_json, regex, and url

Amazon RDS for PostgreSQL now supports new PL/Rust crates such as serde and serde_json crates, allowing you to exchange information between server and client or between servers by serializing and deserializing data structures in your PL/Rust user-defined functions. The release also includes support for regex crate that allow you to search strings for matches of a regular expression and url crate that implements the URL standard to provide parsing and deparsing of URL strings. With support for additional crates, you can now build more types of extensions on RDS for PostgreSQL using Trusted Language Extensions for PostgreSQL (pg_tle).\n pg_tle is an open source development kit to help you build extensions written in a trusted language, such as PL/Rust, that run safely on PostgreSQL. Support for serde, serde_json, regex, and url crates is available on database instances in Amazon RDS running PostgreSQL 16.3-R2 and higher, 15.7-R2 and higher, 14.12-R2 and higher, and 13.15-R2 and higher in all applicable AWS Regions. To learn more about using pg_tle, see our documentation. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Amazon S3 Access Grants now integrate with open source Python frameworks

Amazon S3 Access Grants now integrate with open source Python frameworks using the AWS SDK for Python (Boto3) plugin. S3 Access Grants help you to map identities in Identity Providers (IdPs) such as Active Directory, or AWS Identity and Access Management (IAM) principals, to your datasets in S3. Importing the Boto3 plugin to your client replaces any custom code required to manage data permissions, so you can use S3 Access Grants in open source Python frameworks such as Django, TensorFlow, NumPy, Pandas, and more.\n Get started with S3 Access Grants using the AWS SDK for Python by importing the Boto3 plugin as a module in your Python code. The Boto3 plugin now has the ability to automatically request, cache, and refresh temporary credentials issued by S3, based on an Access Grant. As a result, the permissions for your Python-based S3 clients will be determined based on user group membership in an IdP. Amazon S3 Access Grants are available in all AWS Regions where AWS IAM Identity Center is available. To learn more about the Boto3 plugin, visit the GitHub repository. For pricing details, visit Amazon S3 pricing. To learn more, refer to the documentation.

Amazon Connect launches the ability to preferentially route contacts to specific agents within a queue

Amazon Connect now supports the ability to preferentially route a contact within a queue to specific agents. Using this new feature, you can now set the preferred agent(s) for a given contact, and if that agent is unavailable, fall back to the next set of routing criteria. You can also use this feature to integrate Amazon Connect’s routing with your own custom business logic or machine learning models to personalize matching each contact to the most suitable agent, resulting in better business outcomes and increased customer satisfaction. For example, you could route repeat contacts to the agent who previously handled the customer, and if that specific agent isn’t available, offer the contact to another available agent within the same queue.\n This feature is available in all AWS regions where Amazon Connect is offered. To learn more about routing criteria, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

Amazon S3 Access Grants now integrate with Amazon SageMaker Studio

Amazon S3 Access Grants now integrate with Amazon SageMaker Studio for machine learning (ML) model training. S3 Access Grants help you to map identities in Identity Provider (IdPs) such as Active Directory, or AWS Identity and Access Management (IAM) principals, to your ML datasets in S3. Using the AWS SDK for Python (Boto3) plugin within Amazon SageMaker Studio notebooks helps you easily use S3 Access Grants for ML training and inference.\n Get started with S3 Access Grants in SageMaker Studio by launching a JupyterLab notebook. Next, import the Amazon S3 Access Grants Boto3 plugin into your notebook to start accessing your ML datasets in S3. The Boto3 plugin automatically requests, caches, and refreshes temporary credential tokens for all S3 requests that you run in your notebook. S3 Access Grants automatically update S3 permissions based on end-user group membership as users are added and removed from groups in the IdP. Amazon S3 Access Grants with Amazon SageMaker Studio are available in all AWS Regions where SageMaker Studio is available. For pricing details, visit Amazon S3 pricing and Amazon SageMaker pricing. To learn more about S3 Access Grants, refer to the documentation.

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