Week 23 (3 Jun - 9 Jun)

Amazon Redshift Serverless is now available in the AWS Middle East (UAE) region

Published Date: 2024-06-07 17:30:00

Amazon Redshift Serverless, which allows you to run and scale analytics without having to provision and manage data warehouse clusters, is now generally available in the AWS Middle East (UAE) region. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics. You only pay for the compute used for the duration of the workloads on a per-second basis. You can benefit from this simplicity without making any changes to your existing analytics and business intelligence applications. With a few clicks in the AWS Management Console, you can get started with querying data using the Query Editor V2 or your tool of choice with Amazon Redshift Serverless. There is no need to choose node types, node count, workload management, scaling, and other manual configurations. You can create databases, schemas, and tables, and load your own data from Amazon S3, access data using Amazon Redshift data shares, or restore an existing Amazon Redshift provisioned cluster snapshot. With Amazon Redshift Serverless, you can directly query data in open formats, such as Apache Parquet, in Amazon S3 data lakes. Amazon Redshift Serverless provides unified billing for queries on any of these data sources, helping you efficiently monitor and manage costs.

Amazon CodeCatalyst now supports Bitbucket Cloud source code repositories

Published Date: 2024-06-07 17:00:00

Amazon CodeCatalyst now supports the use of source code repositories hosted in Bitbucket Cloud in CodeCatalyst projects. This allows customers to use Bitbucket Cloud repositories with CodeCatalyst’s features such as its cloud IDE (Development Environments), Generative AI features such as Q feature development, and custom blueprints. Customers can also trigger CodeCatalyst workflows based on events in Bitbucket Cloud, view the status of CodeCatalyst workflows back in Bitbucket Cloud , and even block Bitbucket Cloud pull request merges based on the status of CodeCatalyst workflows. Customers want the flexibility to use source code repositories hosted in Bitbucket Cloud, without the need to migrate to CodeCatalyst to use its functionality. Migration is a long process and customers want to evaluate CodeCatalyst and its capabilities using their own code repositories before they decide to migrate. Support for popular source code providers such as Bitbucket Cloud is the top customer ask for CodeCatalyst. Now customers can use the capabilities of CodeCatalyst without the need for migration of source code from Bitbucket Cloud. This capability is available in regions where CodeCatalyst is available. There is no change to pricing. For more information, see the documentation or visit the Amazon CodeCatalyst website.

Amazon Data Firehose now supports integration with AWS Secrets Manager

Published Date: 2024-06-07 17:00:00

Amazon Data Firehose (Firehose) now supports integration with AWS Secrets Manager (Secrets Manager) to configure secrets such as database credentials or keys to connect to streaming destinations such as Amazon Redshift, Snowflake, Splunk, and HTTP endpoints. Amazon Data Firehose needs to access a secret such as database credentials or keys to connect to a streaming destination. With this launch, Amazon Data Firehose can retrieve a secret from Secrets Manager instead of using a plain text secret in configuration to connect to the destination. By using Secrets Manager integration, you can ensure that secrets are not visible in plain text during Firehose stream creation workflow either in AWS Management Console or API parameters. This feature provides a more secure practice to store and maintain a secret in Firehose and allows you to leverage automatic secret rotation capability provided by Secrets Manager.

Amazon FSx for Lustre increases maximum metadata IOPS by up to 15x

Published Date: 2024-06-07 17:00:00

Amazon FSx for Lustre, a service that provides high-performance, cost-effective, and scalable file storage for compute workloads, is increasing the maximum level of metadata IO operations per second (IOPS) you can drive on a file system by up to 15x, and now allows you to provision metadata IOPS independently of your file system’s storage capacity. A file system’s level of metadata IOPS determines the number of files and directories that you can create, list, read, and delete per second. By default, the metadata IOPS of an FSx for Lustre file system scales with its storage capacity. Starting today, you can provision up to 15x higher metadata performance per file system—independently of your file system’s storage capacity—allowing you to scale to even higher levels of performance, accelerate time-to-results, and optimize your storage costs for metadata-intensive machine learning research and high-performance computing (HPC) workloads. You can also update your file system’s metadata IOPS level with the click of a button, allowing you to quickly increase performance as your workloads scale.

Centrally manage member account root email addresses across your AWS Organization

Published Date: 2024-06-07 17:00:00

Today, we are making it easier for AWS Organizations customers to centrally manage the root email address of member accounts across their Organization using the AWS Command Line Interface (CLI), AWS Software Development Kit (SDK), and AWS Organizations console. We previously released the Accounts SDK that enables Organizations customers to centrally and programmatically manage both primary and alternate contact information as well as the enabled AWS Regions for their accounts. In order to manage the root email address, customers were forced to login as root to manage the root email address of member accounts. Starting today, customers can use the same SDK to update the root email address of a member account from either the Organization’s management account (or delegated administrator), saving them the time and effort of logging into each account directly and allowing them to manage their Organization’s root addresses at scale. Additionally, this API will require customers to verify the new root email address using One Time Password (OTP) ensuring customers are using accurate email addresses for their member accounts. The root email address won’t change to the new email address until it has been verified.

Amazon API Gateway customers can easily secure APIs using Amazon Verified Permissions

Published Date: 2024-06-07 17:00:00

Amazon Verified Permissions expanded support for securing Amazon API Gateway APIs, with fine grained access controls when using an Open ID connect (OIDC) compliant identity provider. Developers can now control access based on user attributes and group memberships, without writing code. For example, say you are building a loan processing application. Using this feature, you can restrict access to the “approve_loan” API to only users in the “loan_officer” group. Amazon Verified Permissions is a scalable fine-grained authorization service for the applications that you build. Verified Permissions launched a new feature to secure API Gateway REST APIs for customers using an OIDC compliant identity provider. The feature provides a wizard for connecting Verified Permissions with API Gateway and an identity provider, and defining permissions based on user groups. Verified Permissions automatically generates an authorization model and Cedar policies that allow only authorized user groups access to application’s APIs. The wizard deploys a Lambda authorizer that calls Verified Permissions to validate that the API request has a valid OIDC token and is authorized. Additionally, the lambda authorizer caches authorization decisions to reduce latency and cost. To get started, visit the Verified Permissions console, and create a policy store by selecting “Import using API Gateway and Identity Provider”. We have partnered with leading identity providers, CyberArk, Okta, and Transmit Security, to test this feature and ensure a smooth experience. This feature is available in all regions where Verified permissions is available. For more information visit the product page. ?

AWS AppFabric now supports JumpCloud

Published Date: 2024-06-06 21:30:00

AWS AppFabric, a no-code service that quickly integrates with software-as-a-service (SaaS) applications to enhance an organization’s security posture, now supports JumpCloud. AppFabric provides aggregated and normalized audit logs from popular SaaS applications like Slack, Zoom, Salesforce, Atlassian Jira suite, Google Workspace, and Microsoft 365. By centralizing SaaS application data, AppFabric helps teams gain greater visibility into vulnerabilities in a customer's SaaS environment, enabling them to monitor threats more effectively and respond to incidents faster. IT and security teams no longer need to manage point-to-point SaaS integrations that take time away from higher value tasks, like standardizing alerts or setting common security policies. AppFabric's support for JumpCloud means that customers can now seamlessly ingest JumpCloud log data, along with over 35 other supported applications.

Amazon EC2 C6id instances are now available in South America (S?o Paulo) region

Published Date: 2024-06-06 21:00:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6id instances are available in the South America (Sao Paulo) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. C6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage for compute-intensive workloads, such as batch processing, distributed analytics, high performance computing (HPC), ad serving, highly scalable multiplayer gaming, and video encoding.

Amazon Inspector container image scanning is now available for Amazon CodeCatalyst and GitHub actions

Published Date: 2024-06-06 19:30:00

Amazon Inspector now offers native integration with Amazon CodeCatalyst and GitHub actions for container image scanning, allowing customers to assess their container images for software vulnerabilities within their Continuous Integration and Continuous Delivery (CI/CD) tools, pushing security earlier in the software development lifecycle. With this expansion, Inspector now natively integrates with four developer tools including, Jenkins, TeamCity, GitHub actions, and Amazon CodeCatalyst for container image scanning. This feature works with CI/CD tools hosted anywhere in AWS, as well as in on-premise environments and hybrid clouds, providing consistency for developers to use a single solution across all their development pipelines. Amazon Inspector is a vulnerability management service that continually scans AWS workloads for software vulnerabilities, code vulnerabilities, and unintended network exposure across your entire AWS Organization. Customers can also use Amazon Inspector to scan container images and other archives, such as zip and TAR, for software vulnerabilities directly from local developer laptops and machines. To learn more about scanning container images hosted anywhere, click here. ?

Announcing the common control library in AWS Audit Manager

Published Date: 2024-06-06 19:15:00

AWS Audit Manager has introduced a common control library that simplifies the process of automating risk and compliance assessments against enterprise controls. This new library enables Governance, Risk, and Compliance (GRC) teams to efficiently map their controls into Audit Manager for evidence collection. The new common control library provides pre-defined and pre-mapped AWS data sources, eliminating the need to identify which AWS resources to assess for various controls. It defines AWS-managed common controls based on extensive mapping and reviews by AWS certified auditors, determining the appropriate data sources for evidence collection. With this launch, Audit Manager will also deliver more evidence mappings for controls, including 140 newly supported API calls for additional evidence. You can customize and update all evidence mappings as appropriate for your objectives. The library also reduces the need to implement different compliance standard requirements individually and review data multiple times across different compliance regimes. It identifies common requirements across controls, helping customers understand their audit readiness across multiple frameworks simultaneously. As AWS Audit Manager updates or adds data sources (e.g., additional CloudTrail events or API calls, or newly launched AWS Config rules) or maps additional compliance frameworks to the common controls, customers automatically inherit these improvements. This removes the need for constant updating and provides the benefit of additional compliance frameworks added to the Audit Manager library.

AWS launches Tax Settings API to programmatically manage tax registration information

Published Date: 2024-06-06 19:03:00

Today AWS launches AWS Tax Settings API, a new public API service that enables customers to programmatically view, set, and modify tax registration information and associated business legal name and address. This launch allows you to automate tax registration updates as an enhanced offering to the AWS Tax Settings page. Previously, customers managing tax registration information could only update tax information from the Tax Settings Page on the AWS Billing Console. Now, the API enables customers to automate setting their tax information while creating bulk accounts instead of manually setting tax registration information for accounts manually. This programmatic support allows customers to build automation around setting and modifying tax registration information. Customers creating accounts using the AWS Account Creation API and other AWS services can now fully automate their account creation process by integrating the tax registration workflow into their overall programmatic account creation process.?For further details, visit here.

Amazon OpenSearch Ingestion now supports ingesting streaming data from Amazon MSK Serverless

Published Date: 2024-06-06 18:30:00

Amazon OpenSearch Ingestion now allows you to ingest streaming data from Amazon Managed Streaming for Apache Kafka (MSK) Serverless, enabling you to seamlessly index the data from Amazon MSK Serverless clusters in Amazon OpenSearch Service managed clusters or Serverless collections without the need for any third-party data connectors. With this integration, you can now use Amazon OpenSearch Ingestion to perform near- real-time aggregations, sampling and anomaly detection on data ingested from Amazon MSK Serverless, helping you to build efficient data pipelines to power your complex observability and analytics use cases.

Amazon OpenSearch Ingestion pipelines can consume data from one or more topics in an Amazon MSK Serverless cluster and transform the data before writing it to Amazon OpenSearch Service or Amazon S3. While reading data from Amazon MSK Serverless via Amazon OpenSearch Ingestion, you can configure the number of consumers per topic and tune different fetch parameters for high and low priority data. Furthermore, you can also optionally use AWS Glue Schema Registry to specify your data schema to dynamically read custom data schema at ingest time.

Amazon Location Service launches Enhanced Location Integrity features

Published Date: 2024-06-06 17:00:00

Amazon Location Service launches enhanced location integrity features, which offer tools to help developers evaluate the accuracy and authenticity of user-reported locations. With enhanced location integrity features, customers can now use predictive tools that anticipate user movements into or out of customer-specified areas, using criteria like time-to-breach and proximity to enhance monitoring and security measures. For instance, a retailer can utilize improved location integrity features to gauge the proximity of a curbside pickup user and optimize operations for a superior customer experience.

Customers can also use new validation capabilities to help confirm user locations by triangulating WiFi, cellular signals, and IP address information. This is critical for detecting and preventing location spoofing. Lastly, Amazon Location Service now also supports detailed geofences, allowing for the management of complex areas like state boundaries. These improvements provide stronger and more accurate location tracking capabilities, enabling more stringent protocols for location integrity.

Amazon Location Service is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), South America (S?o Paulo), and the AWS GovCloud (US-West) Region.

To learn more, visit the Amazon Location Service Developer Guide. ?

Amazon CloudWatch GetMetricData API now supports AWS CloudTrail data event logging

Published Date: 2024-06-06 17:00:00

Amazon CloudWatch now supports AWS CloudTrail data?event logging for the GetMetricData and GetMetricWidgetImage APIs. With this launch, customers have greater visibility into metric retrieval activity from their AWS account for best practices in security and operational troubleshooting. CloudTrail captures API activities related to Amazon CloudWatch GetMetricData and GetMetricWidgetImage APIs as events. Using the information that CloudTrail collects, you can identify a specific request to CloudWatch GetMetricData or GetMetricWidgetImage APIs, the IP address of the requester, the requester's identity, and the date and time of the request. Logging CloudWatch GetMetricData and GetMetricWidgetImage APIs using CloudTrail helps you enable operational and risk auditing, governance, and compliance of your AWS account. AWS CloudTrail logging for the GetMetricData and GetMetricWidgetImage API actions is available now in all AWS commercial Regions. Data logging incurs charges according to AWS CloudTrail Pricing. To learn more about this feature, visit the Amazon CloudWatch documentation page. To?enable logging for Amazon CloudWatch metrics data events, using the AWS CloudTrail Management Console or the AWS CloudTrail Command Line Interface (CLI), specify CloudWatch metric as the data event type, then choose the APIs that you want to monitor.

Amazon EC2 instance type finder capability is generally available in AWS Console

Published Date: 2024-06-06 17:00:00

Today, Amazon Web Services, announced the availability of Amazon EC2 instance type finder, enabling you to select the ideal Amazon EC2 instance types for your workload. It uses machine learning to help customers make quick and cost-effective selections for instance types, before provisioning workloads. Using the AWS Management Console, customers can specify their workload requirements and get trusted recommendations. Amazon EC2 instance type finder is integrated with Amazon Q, allowing customers to use natural language to specify requirements and get instance family suggestions. EC2 has more than 750 instance types and EC2 instance type finder enables customers to easily choose the best option for their workload requirements. It helps customers stay up to date with the latest instance types and allows them to optimize price-performance for their workloads. By using the EC2 instance type finder in Amazon Q and other console experiences, customers can make informed decisions on the best instance types for their workloads, thereby speeding up their AWS development. Customers can get instance family suggestions while in an activity, such as launching an instance. EC2 instance type finder is available in all commercial AWS regions (learn more here). Amazon Q experience is available everywhere builders need it. You can find Amazon Q in the AWS Management Console, documentation, AWS website, your IDE through Amazon CodeWhisperer, or through AWS Chatbot in team chat rooms on Slack or Microsoft Teams. For Regional availability for specific Amazon Q in AWS capabilities, visit the Amazon Q FAQs page. ?

AWS IoT Device Management adds a unified connectivity metrics monitoring dashboard

Published Date: 2024-06-06 17:00:00

Today, AWS IoT Device Management announced the launch of a new connectivity metrics dashboard, enabling customers to easily identify connectivity patterns and configure operational alarms for their device fleet through a unified view. AWS IoT Device Management is a fully managed cloud service that helps you register, organize, monitor, and remotely manage Internet of Things (IoT) devices at scale. With this launch, you can now select and view a range of connectivity metrics sourced from AWS IoT Core and AWS IoT Device Management on a single page. The connectivity metrics dashboard consolidates frequently used metrics from AWS IoT Core, such as successful connections, inbound/outbound messages published, and connection request authorization failures. Additionally, you can use the guided workflow to enable AWS IoT Device Management’s Fleet Indexing feature and add widgets for connected device counts, percentage of devices disconnected, and disconnect reasons to the same page. Using the unified dashboard, you can quickly identify potential connectivity and operational problems to reduce the time associated with fleet troubleshooting procedures. To get started with the connectivity metrics dashboard, visit the ‘Monitor’ tab in the AWS IoT console and then select the new ‘Connectivity metrics’ page.

To learn more, visit the AWS IoT Device Management?developer guide.

Amazon SageMaker Model Registry now supports machine learning (ML) governance information

Published Date: 2024-06-06 17:00:00

Amazon SageMaker now integrates Model Cards into Model Registry, making it easier for customers to manage governance information for specific model versions directly in Model Registry in just a few clicks. Today, customers register ML models in Model Registry to manage their models. Now, with this launch, they can register ML model versions early in the development lifecycle, including essential business details and technical metadata. This integration allows customers to seamlessly review and govern models across their lifecycle from a single place. By enhancing the discoverability of model governance information, this update offers customers greater visibility into the model lifecycle from experimentation and training to evaluation and deployment. This streamlined experience ensures that model governance is consistent and easily accessible throughout the development process. This new capability is now available in all AWS regions where SageMaker is present except GovCloud regions. To get started, see SageMaker Model Registry developer guide for additional information.

Amazon CodeCatalyst now supports GitHub Cloud source code with blueprints

Published Date: 2024-06-06 17:00:00

Amazon CodeCatalyst now supports the use of source code repositories hosted in GitHub Cloud with its blueprints capability. This allows customers to create a project from a CodeCatalyst blueprint into a GitHub Cloud source repository and add a blueprint into an existing project's GitHub Cloud source repository. It also enables customers to create custom blueprints in a GitHub Cloud repository. Customers can use CodeCatalyst blueprints to create a project with a source repository and sample source code, CI/CD workflows, build and test reports, and integrated issue tracking tools. As the blueprint gets updated with the latest best practices or new options, it can regenerate the relevant parts of your codebase in projects containing that blueprint. CodeCatalyst also allows IT Leaders to build custom well-architected blueprints for their developer teams, specifying technology to be used, control access to project resources, set deployment locations and define testing and building methods. These capabilities were earlier available for source code repositories in CodeCatalyst. Customers wanted the flexibility to use blueprints with source code repositories hosted in GitHub Cloud. With this launch, customers can now get the same value from CodeCatalyst blueprints with GitHub Cloud hosted repositories.

Amazon OpenSearch Serverless slashes entry cost in half for all collection types

Published Date: 2024-06-05 21:00:00

We are excited to offer a new lower entry point for Amazon OpenSearch Serverless, which makes it affordable to run small-scale search and analytics workloads. Opensearch Serverless’ compute capacity for indexing and searching data are measured in OpenSearch Compute Units (OCUs). Prior to this update, highly-available production deployments required a minimum of 4 OCUs with redundancy for protection against Availability Zone outages and infrastructure failures. With the introduction of fractional 0.5 OCU, OpenSearch Serverless can be deployed starting at just 2 OCUs for production workloads. This includes 1 OCU for primary and standby indexing nodes at 0.5 OCU each, and 1 OCU total for search across two 0.5 OCU active replica nodes in separate Availability Zones. OpenSearch Serverless will automatically scale up the OCUs based on workload demand. Additionally, for dev/test workloads that don't require high availability, OpenSearch Serverless offers a 1 OCU deployment option, further cutting costs in half, with 0.5 OCU for indexing and 0.5 OCU for search.

Amazon Connect now provides time zone support for forecasts

Published Date: 2024-06-05 20:45:00

Amazon Connect now provides time zone support for forecasts, making it easier for contact center managers to analyze future demand. With this launch, you can now generate, view, and download forecasts for the time zone in which your business operates. This feature will also automatically adjust forecasts to account for daylight saving changes (e.g., if a contact center receives contacts from 8am-8pm US Eastern time, then forecasts will automatically switch from 8am-8pm Eastern Daylight Time (EDT) to 8am-8pm Eastern Standard Time (EST) on November 3, 2024). Time zone support in forecasts simplifies the day-to-day experience for managers.

Amazon Aurora MySQL 3.07 (compatible with MySQL 8.0.36) is generally available

Published Date: 2024-06-05 19:50:00

Starting today, Amazon Aurora MySQL 3.07 (with MySQL 8.0 compatibility) will support MySQL 8.0.36. In addition to security enhancements and bug fixes in MySQL 8.0.36, Amazon Aurora MySQL 3.07 includes several fixes and general improvements. For more details, refer to the Aurora MySQL 3 and MySQL 8.0.36. To upgrade, you can initiate a minor version upgrade manually by modifying your DB cluster, or you can enable the “Auto minor version upgrade” to allow automatic upgrades in the upcoming maintenance window. This release is available in all AWS regions where Aurora MySQL is available.

Amazon EC2 C6id instances are now available in Canada (Central) region

Published Date: 2024-06-05 17:00:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C6id instances are available in Canada (Central) Region. These instances are powered by 3rd generation Intel Xeon Scalable Ice Lake processors with an all-core turbo frequency of 3.5 GHz and up to 7.6 TB of local NVMe-based SSD block-level storage. C6id instances are built on AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor, which delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security. Customers can take advantage of access to high-speed, low-latency local storage for compute-intensive workloads, such as batch processing, distributed analytics, high performance computing (HPC), ad serving, highly scalable multiplayer gaming, and video encoding. These instances are generally available today in the US (Ohio, N.Virginia, Oregon), Canada (Calgary, Central), Asia Pacific (Tokyo, Sydney, Seoul, Singapore), Europe (Ireland, Frankfurt, London), Israel (Tel Aviv), and AWS GovCloud (US-West) Regions. Customers can purchase the new instances via Savings Plans, Reserved, On-Demand, and Spot instances. To learn more, see Amazon C6id instances. To get started, visit AWS Command Line Interface (CLI), and AWS SDKs.

AWS HealthImaging now publishes events to Amazon EventBridge

Published Date: 2024-06-05 17:00:00

AWS HealthImaging now supports event-driven architectures by sending event notifications to Amazon EventBridge. By subscribing to HealthImaging events in EventBridge, you can automatically kick-off application workflows such as image quality assessment or de-identification based upon changes to resources in the data store. With EventBridge, developers can take advantage of a serverless event bus to easily connect and route events between many AWS services and third-party applications. Developers working with HealthImaging can now receive state changes for asynchronous tasks, such as DICOM import jobs and image set copy and update operations. Events are delivered to EventBridge in near real-time, and developers can write simple rules to listen for specific events. AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers and their software partners to store, analyze, and share medical images at petabyte scale. With AWS HealthImaging, you can run your medical imaging applications at scale from a single, authoritative copy of each medical image in the cloud, while reducing total cost of ownership. AWS HealthImaging is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland). To learn more, visit AWS HealthImaging. ?

Introducing Amazon EMR Serverless Streaming jobs for continuous processing on streaming data

Published Date: 2024-06-04 20:00:00

Amazon EMR Serverless is a serverless option in Amazon EMR that makes it simple for data engineers and data scientists to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers. We are excited to announce a new streaming job mode on Amazon EMR Serverless, enabling you to continuously analyze and process streaming data. Streaming has become vital for businesses to gain continuous insights from data sources like sensors, IoT devices, and web logs. However, processing streaming data can be challenging due to requirements such as high availability, resilience to failures, and integration with streaming services. Amazon EMR Serverless Streaming jobs has built-in features to addresses these challenges. It offers high availability through multi-AZ (Availability Zone) resiliency by automatically failing over to healthy AZs. It also offers increased resiliency through automatic job retries on failures and log management features like log rotation and compaction, preventing the accumulation of log files that might lead to job failures. In addition, Amazon EMR Serverless Streaming jobs support processing data from streaming services like self-managed Apache Kafka clusters, Amazon Managed Streaming for Apache Kafka, and now is integrated with Amazon Kinesis Data Streams using a new built-in Amazon Kinesis Data Streams Connector, making it easier to build end-to-end streaming pipelines.

Amazon API Gateway integration timeout limit increase beyond 29 seconds

Published Date: 2024-06-04 19:30:00

Amazon API Gateway now enables customers to increase their integration timeout beyond the prior limit of 29 seconds. This setting represents the maximum amount of time API Gateway will wait for a response from the integration to complete. You can raise the integration timeout to greater than 29 seconds for Regional REST APIs and private REST APIs, but this might require a reduction in your account-level throttle quota limit. With this launch, customers with workloads requiring longer timeouts, such as Generative AI use cases with Large Language Models (LLMs), can leverage API Gateway. 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. APIs act as the "front door" for applications to access data, business logic, or functionality from your backend services. Using API Gateway, you can create RESTful APIs and WebSocket APIs that enable real-time two-way communication applications. API Gateway supports containerized and serverless workloads, as well as web applications.

Amazon Route 53 Profiles now available in the AWS GovCloud (US) Regions

Published Date: 2024-06-04 19:15:00

Starting today, you can enable Route 53 Profiles in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions to define a standard DNS configuration, in the form of a Profile, that may include Route 53 private hosted zone (PHZ) associations, Route 53 Resolver rules, and Route 53 Resolver DNS Firewall rule groups, and apply this configuration to multiple VPCs in your account. Profiles can also be used to enforce DNS settings for your VPCs, with configurations for DNSSEC validations, Resolver reverse DNS lookups, and the DNS Firewall failure mode. Your can share Profiles with AWS accounts in your organization using AWS Resource Access Manager (RAM). Route 53 Profiles simplifies the association of Route 53 resources and VPC-level settings for DNS across VPCs and AWS accounts in a Region with a single configuration, minimizing the complexity of having to manage each resource association and setting per VPC.

Amazon Timestream for LiveAnalytics now an Amazon EventBridge Pipes target

Published Date: 2024-06-04 17:00:00

Amazon TimeStream for LiveAnalytics is now an Amazon EventBridge Pipes target, simplifying the ingestion of time-series data from sources such as Amazon Kinesis, Amazon DynamoDB, Amazon SQS, and more. Pipes provides a fully-managed experience, enabling you to easily ingest time-series data into Timestream for LiveAnalytics without the need to write undifferentiated integration code. Amazon Timestream for LiveAnalytics is fast, scalable, purpose-built time series database that makes it easy to store and analyze trillions of time series data points per day. Amazon EventBridge Pipes provides a simple, consistent, and cost-effective way to create point-to-point integrations between event producers and consumers. Now, with a few clicks, you can connect your applications generating time-series data to Timestream using Pipes, enabling you to monitor your applications in real time and quickly identify trends and patterns. You can now ingest time-series data from diverse sources using Eventbridge Pipes, making it easier to derive advanced insights. ?

AWS DMS now supports Babelfish for Aurora PostgreSQL as a source

Published Date: 2024-06-04 17:00:00

AWS Database Migration Service (AWS DMS) now supports Babelfish for Aurora PostgreSQL as a source by enhancing its existing PostgreSQL endpoint to handle Babelfish data types. Babelfish is a feature of Amazon Aurora PostgreSQL-Compatible Edition that enables Aurora to understand commands from applications written for Microsoft SQL Server. AWS DMS supports both Full Load and Change Data Capture (CDC) migration modes for Babelfish. Full Load migration copies all of the data from the source database and CDC copies only the data that has changed since the last migration. To migrate your data from Babelfish, you can use the AWS DMS console, AWS CLI, or AWS SDKs. To learn more, refer to using Babelfish for Aurora PostgreSQL as a source for AWS DMS. ?

Amazon Q offers inline completions in the command line

Published Date: 2024-06-04 17:00:00

Today, Amazon Q Developer launches AI-powered inline completions in the command line. As developers type in their command line, Q Developer will provide real-time AI-generated code suggestions. For instance, if a developer types git, Q Developer might suggest push origin main. Developers can accept the suggestion by simply pressing the right arrow. To generate accurate suggestions, Q Developer looks at your current shell context and your recent shell history. You can learn more about how Q Developer manages your data here.

Amazon Connect agent workspace launches refreshed look and feel

Published Date: 2024-06-04 17:00:00

The Amazon Connect agent workspace now features an updated user interface to improve productivity and focus for your agents. The new user interface is designed to be more intuitive, highly responsive, and increase visual consistency across capabilities, providing your agents with a streamlined user experience. With this launch, you can also easily build and embed third-party applications that have a consistent look and feel with the agent workspace by using Cloudscape Design System components.

Amazon Titan Text Embeddings V2 now available for use with Bedrock Knowledge Bases

Published Date: 2024-06-04 17:00:00

Amazon Titan Text Embeddings V2, a new embeddings model in the Amazon Titan family of models, is now available for use with Knowledge Bases for Amazon Bedrock. Using Titan Text Embeddings V2, customers can embed their data into a vector database and use it to retrieve relevant information for tasks such as questions and answers, classification, or personalized recommendations. Amazon Text Embeddings V2 is optimized for retrieval augmented generation (RAG) and is an efficient model ideal for high accuracy retrieval tasks at different dimensions. The model supports flexible embeddings sizes (1024, 512 , 256) and maintains accuracy at smaller dimension sizes, helping to reduce storage costs without compromising on accuracy. When reducing from 1,024 to 512 dimensions, Titan Text Embeddings V2 retains approximately 99% retrieval accuracy, and when reducing from 1,024 to 256 dimensions, the model maintains 97% accuracy. Additionally, Titan Text Embeddings V2 includes multilingual support for 100+ languages in pre-training as well as unit vector normalization for improving accuracy of measuring vector similarity.

AWS Backup now supports Amazon Elastic Block Store (EBS) Snapshots Archive in the AWS GovCloud (US) Regions

Published Date: 2024-06-03 21:00:00

Today, AWS Backup announces support for EBS Snapshots Archive in the AWS GovCloud (US) Regions, allowing customers to automatically move EBS Snapshots created by AWS Backup to EBS Snapshots Archive. EBS Snapshots Archive is low-cost, long-term storage tier meant for your rarely-accessed snapshots that do not need frequent or fast retrieval, allowing you to save up to 75% on storage cost. You can now use AWS Backup to transition your EBS Snapshots to EBS Snapshots Archive and manage their lifecycle, alongside AWS Backup’s other supported resources in the AWS GovCloud (US) Regions. EBS Snapshots are incremental, storing only the changes since the last snapshot and making them cost effective for daily and weekly backups that need to be accessed frequently. You may also have EBS snapshots that you only need to access every few months or years, retaining them for long-term regulatory requirements. For these long-term snapshots, you can now transition your EBS snapshots managed by AWS Backup to EBS Snapshots Archive Tier to store full, point-in-time snapshots at lower storage costs.

Amazon CloudWatch Logs announces Live Tail streaming CLI support

Published Date: 2024-06-03 21:00:00

We are excited to announce streaming CLI support for Amazon CloudWatch Logs Live Tail, making it possible to view, search and filter relevant log events in real-time. You can now view your logs interactively in real-time as they’re ingested via AWS CLI or programmatically within your own custom dashboards inside or outside of AWS. In CloudWatch Logs, Live Tail console has been providing customers a rich out-of-the-box experience to view and detect issues in their incoming logs. Additionally, it provides fine-grained controls to filter and highlight analytics of interest while investigating issues relating to deployments or incidents. By using the streaming CLI for Live Tail, you can now have similar experience from AWS CLI or integrate the same capabilities within your custom dashboard.

AWS Elastic Beanstalk now supports .NET 8 on AL2023

Published Date: 2024-06-03 18:20:00

AWS Elastic Beanstalk now supports .NET 8 on AL2023 Elastic Beanstalk environments. Elastic Beanstalk .NET 8 on AL2023 environments come with .NET 8.0 installed by default. See Release Notes for additional details.

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. .NET 8 on AL2023 runtime adds security improvements, such as support for the SHA-3 hashing algorithm, along with other updates including enhanced dynamic profile-guided optimization (PGO) that can lead to runtime performance improvements, and better garbage collection with the ability to adjust the memory limit on the fly. You can create Elastic Beanstalk environment(s) running .NET 8 on AL2023 using any of the Elastic Beanstalk interfaces such as Elastic Beanstalk Console, Elastic Beanstalk CLI, Elastic Beanstalk API, and AWS Toolkit for Visual Studio.

AWS CloudFormation Hooks is now available in the AWS GovCloud (US) Regions

Published Date: 2024-06-03 17:00:00

AWS CloudFormation Hooks is now generally available in the AWS GovCloud (US) Regions. With this launch, customers can deploy Hooks in these newly supported AWS Regions to help keep resources secure and compliant. With CloudFormation Hooks, you can invoke custom logic to automate actions or inspect resource configurations prior to a create, update or delete CloudFormation stack operation. Today’s launch extends this capability to GovCloud customers and partners to help keeping resources secure and compliant. With this launch, CloudFormation Hooks is available in 31 AWS regions globally: US East (Ohio, N. Virginia), US West (N. California, Oregon), Canada (Central, Calgary), Asia Pacific (Hong Kong, Jakarta, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo, Hyderabad, Melbourne), Europe (Ireland, Frankfurt, Zurich, London, Paris, Stockholm, Milan), Middle East (UAE, Bahrain), South America (S?o Paulo), Africa (Cape Town), and the AWS GovCloud (US-East, US-West) Regions. To get started, you can explore sample hooks published to the CloudFormation Public Registry or author Hooks using the CloudFormation CLI and publish them to your CloudFormation Private Registry. To learn more, check out the AWS News Blog post, refer to the User Guide and API reference. You can also learn more by following the AWS CloudFormation Hooks workshop. ?

AWS Batch introduces the Job Queue Snapshot to view jobs at the front of the job queues

Published Date: 2024-06-03 17:00:00

AWS Batch now offers the Job Queue Snapshot feature, enabling you to observe the jobs at the front of your queues. This feature provides visibility to the existing AWS Batch Fair Share Scheduling capabilities. The Job Queue Snapshot displays the jobs at the front of your job queues to assist administrators. Job Queue Snapshot addresses the needs of customers using AWS Batch and leveraging Fair Share Scheduling to balance workloads within the same organization. By gaining visibility into the jobs at the front of their queues, you can quickly identify and resolve issues that may be impacting workload progress, helping you to meet Service Level Agreements (SLAs) and minimize disruptions to your end-users. The Job Queue Snapshot feature is available to all AWS Batch customers today and across all AWS Regions where AWS Batch is offered. Customers can access the snapshot through the AWS Batch console or by using the GetJobQueueSnapshot API via the AWS Command Line Interface (AWS CLI). To learn more about Job Queue Snapshot and how to leverage it for your batch computing workloads, visit Viewing job queue status in the AWS Batch User Guide.

AWS Transfer Family increases message size and throughput limits for AS2

Published Date: 2024-06-03 17:00:00

AWS Transfer Family support for the Applicability Statement (AS2) protocol has increased its default message size limit from 50 MB to 1 GB and throughput limit from 30 to 100 message transfers per second. You will find these increased limits reflected on the AWS Transfer Family page within the Service Quotas console. These increased limits enable you to reliably connect with trading partners that frequently transmit sizable batches of AS2 messages. The increased message size and throughput limits for AS2 are available in all AWS Regions where the service is available. To learn more about the AS2 quotas and limitations, visit the documentation. To get started with Transfer Family’s AS2 capabilities, take the self-paced workshop or deploy the AS2 CloudFormation template. ?