Week 32 (5 Aug - 11 Aug)
Ankur Patel
3x AWS? certified | AWS Community Builder | Cloud Enabler and Practitioner | Solutions Architect | FullStack | DevOps | DSML | 6x Sisense certified | Blogger | Photographer & Traveller
AWS Config expands support for 124 resource types across 29 AWS Regions
Published Date: 2024-08-09 21:55:00
Today, AWS Config expands support for 124 resource types across 29 AWS Regions. If you have enabled AWS Config recording for these resource types, you will benefit from more comprehensive coverage across additional AWS Regions. This expansion provides you greater consistency across AWS Regions for multiple AWS Config use cases including resource inventory, resource configuration change tracking, resource compliance and security monitoring, auditing, and remediation. To view a complete list of all supported types across AWS Regions, see Resource Coverage by Region Availability page.
Amazon DocumentDB achieves FedRAMP High approval in the AWS GovCloud (US) Regions
Published Date: 2024-08-09 17:00:00
Amazon DocumentDB (with MongoDB compatibility) has achieved FedRAMP High approval in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. Federal agencies, public sector organizations and other enterprises with FedRAMP High compliance requirements can now leverage Amazon DocumentDB to store and query their JSON-based document workloads. In addition to achieving FedRAMP High approval in the AWS GovCloud (US-East and US-West) Regions, Amazon DocumentDB is in scope for numerous compliance programs and standards, including HIPAA (Health Insurance Portability and Accountability Act), PCI DSS (Payment Card Industry – Data Security Standard), ISO (International Organization for Standardization), SOC 1, 2, and 3 (System and Organization Controls). To learn more about AWS Application Migration Service compliance validation, visit the documentation here. Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Get started by creating Amazon DocumentDB cluster from the AWS Management Console. ?
Amazon Connect now provides an API to update routing criteria on a queued contact
Published Date: 2024-08-09 17:00:00
Amazon Connect now provides an API to update the routing criteria on a contact while it is currently in queue. Routing criteria allow you to target a contact to a specific preferred agent or to a set of agents based on their attributes, such as their proficiency level in a particular language. With this API, you can now update the routing criteria on a queued contact directly from an external system. For example, you could build a dashboard that allows agents to pick contacts from a queue to be routed next, based on attributes such as customer name, and send those routing instructions to Connect with this new API. To learn more about the UpdateContactRoutingData API, see the UpdateContactRoutingData documentation in the Amazon Connect API Reference. 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 Cognito enhances Advanced Security Features (ASF) to detect additional risks and to cover custom authentication flows
Published Date: 2024-08-08 21:40:00
Amazon Cognito enhances Advanced Security Features (ASF) to detect additional risk factors and cover custom authentication flows. ASF now identifies risks such as impossible travel, where a user signs in from two different locations in a time period implausible for travel between them. Additionally, ASF now detects risks in custom authentication flows. Customers can improve the security of applications that use custom authentication factors by enabling risk detection and adaptive authentication. Amazon Cognito simplifies the process of adding authentication, authorization, and user management to your web and mobile apps. The service provides authentication for applications with millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. This new feature is now available as part of Cognito advanced security features in all AWS Regions, except AWS GovCloud (US) Regions. To get started, see the following resources:
Amazon EC2 C7i-flex instances are now available in US West (Oregon) Region
Published Date: 2024-08-08 20:15:00
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 US West (Oregon) 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 (Ohio), US West (N. California, Oregon), Europe (Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), and South America (S?o Paulo). To learn more, visit Amazon EC2 C7i-flex instances.
AWS announces private IPv6 addressing for VPCs and subnets
Published Date: 2024-08-08 19:30:00
AWS announces the general availability of private IPv6 addressing for VPCs and subnets with Amazon VPC IP Address Manager (IPAM). On AWS, private IPv6 addresses can take the form of Unique Local IPv6 Unicast Addresses (ULA) and Global Unicast Addresses (GUA), and can only be used for private access. These IPv6 addresses are not and cannot be advertised to the internet by AWS. Within IPAM, customers can configure private IPv6 addresses in a private scope, provision ULA and GUA, and use them to create VPCs and subnets for private access. Customers want private IPv6 address for the innate security boost it offers as resources using private IPv6 address cannot access the internet directly. It also provides assurance for compliance as customers can demonstrate that their resources with private IPv6 addresses are not internet accessible through a quick audit. These customers have no intention of directly routing traffic from these resources to the internet via AWS, and instead use proxies or network appliances for selective internet access via AWS, or route traffic through their on-premise network where the IPv6 address range is advertised to the internet. For such use cases, private IPv6 addressing helps simplify IP addressing and VPC network configuration in IPv6. Private IPv6 addressing for VPCs and subnets is now available in all AWS commercial regions and AWS GovCloud (US) regions, in both Free Tier and Advanced Tier VPC IPAM. To learn more about IPv6 addressing type, see the blog and VPC documentation, and to get started, please see the IPAM documentation page.
Amazon WorkSpaces Thin Client now supports Amazon WorkSpaces Pools
Published Date: 2024-08-08 19:00:00
AWS today announced support for Amazon WorkSpaces Pools on Amazon WorkSpaces Thin Client. With this launch, Amazon WorkSpaces Thin Client customers have the flexibility to choose between Amazon WorkSpaces Personal, a fully persistent virtual desktop, and WorkSpaces Pools, a cost-effective, non-persistent virtual desktop, with support for existing Microsoft 365 Apps for enterprise licenses to help reduce cost and optimize agility. WorkSpaces Pools also simplifies management across a customer’s WorkSpaces environments by providing a single cloud-based tool set to manage the various desktop hardware configurations, storage, and applications for the user, including the ability to manage their existing Microsoft 365 Apps for enterprise. Administrators use AWS Application AutoScaling to automatically scale a pool of virtual desktops based on real-time usage metrics or predefined schedules. WorkSpaces Pools offers pay-as-you-go hourly pricing, helping to optimize costs. Amazon WorkSpaces Pools on WorkSpaces Thin Client is available in all AWS Regions where WorkSpaces Thin Client is available. To get started with WorkSpaces Pools on Amazon WorkSpaces Thin Client, log on to AWS Management Console, navigate to the WorkSpaces Thin Client service and follow the Amazon WorkSpaces Thin Client administration guide.
Amazon RDS for Db2 supports loading data from Amazon S3
Published Date: 2024-08-08 18:30:00
Amazon Relational Database Service (Amazon RDS) for Db2 now supports loading data from Amazon S3 into Db2 databases. With Amazon RDS for Db2, you can use a Db2 client to load data into your Db2 databases using locally stored files on the client machine. However, the load cannot be performed if the locally stored data file includes large data objects such as Binary Long Objects (BLOBs), Character Large Objects (CLOBs), Extended Markup Language (XML), or Javascript Object Notation (JSON) greater than 32 KB. With this launch, you can now transfer such data files with large data objects to an S3 bucket and load it directly into Db2 databases on RDS. Refer RDS for Db2 documentation for the steps involved in setting up access to your S3 bucket and loading the data in Db2 databases on RDS. Amazon RDS makes it simple to set up, operate, and scale Db2 deployments in the cloud. Review the Amazon RDS for Db2 pricing page for pricing and regional availability.
Amazon Aurora supports PostgreSQL 16.3, 15.7, 14.12, 13.15, and 12.19
Published Date: 2024-08-08 17:00:00
Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 16.3, 15.7, 14.12, 13.15, and 12.19. These releases contain product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific improvements. Databases now startup faster after upgrades and restarts. Version 16.3 with IO-Optimized configuration includes performance enhancements that improve write throughput for 8xl and larger instances. These releases also contain Babelfish’s new features and improvements such as support for group AD, logical replication, Blue/Green Deployments, and LIKE operator for AI collations. As a reminder, Amazon Aurora PostgreSQL 12 support ends on Feb 29, 2025. Upgrade to a newer major version. You can initiate a minor version upgrade by modifying your DB cluster. Please review the Aurora documentation to learn more. These releases are available in all commercial AWS regions and AWS GovCloud (US) Regions, except China regions. For a full feature parity list, head to our feature parity page, and to see all regions that support Amazon Aurora head to our region page. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page. ?
Announcing pgvector 0.7.0 support in Aurora PostgreSQL
Published Date: 2024-08-08 17:00:00
Amazon Aurora PostgreSQL-Compatible Edition now supports pgvector 0.7.0, an open-source extension for PostgreSQL for storing vector embeddings in your database. pgvector provides vector similarity search capabilities enabling Aurora usage for semantic search and retrieval-augemented generation (RAG)?in generative artificial intelligence (AI) applications. pgvector 0.7.0 adds parallelism to improve the Hierarchical Navigable Small Worlds (HNSW) index build time in Aurora. pgvector 0.7.0 adds two new vector data types: halfvec for storing dimensions as 2-byte floats, and sparsevec for storing up to 1,000 nonzero dimensions, and now supports indexing binary vectors using the PostgreSQL-native bit type. These additions let you use scalar and binary quantization for the vector data type using PostgreSQL expression indexes, which reduces index storage size and lowers index build time. Quantization also lets you increase the maximum dimensions of vectors you can index: 4,000 for halfvec and 64,000 for binary vectors. pgvector 0.7.0 is available in Amazon Aurora clusters running PostgreSQL 16.3, 15.7, 14.12, 13.15, and 12.19 and higher in all applicable AWS Regions except China regions, but including the AWS GovCloud (US) Regions. You can initiate a minor version upgrade by modifying your DB cluster. Please review the Aurora documentation to learn more. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.
AWS Glue Data Catalog views are now GA with Amazon Athena and Amazon Redshift
Published Date: 2024-08-08 17:00:00
Today, AWS announces the general availability of AWS Glue Data Catalog views for Athena and Redshift. AWS Glue Data Catalog views are a new capability that allows customers to create, grant permissions on, and query multi-engine SQL views in AWS Glue Data Catalog from Amazon Athena and Amazon Redshift. With AWS Glue Data Catalog views you can create, share, and query views across AWS regions, accounts, and organizations. AWS Glue Data Catalog views allow customers to create views that can be queried from multiple engines without requiring consumers to have access to the tables referenced in the view. Administrators can use AWS Glue Data Catalog views to represent data restrictions and control what underlying data users can access using the rich SQL dialects provided by Amazon Redshift and Amazon Athena. Access to Glue Data Catalog views is managed with AWS Lake Formation permissions such as named resource grants, data filters, and lake formation tags. To enable easy auditing, all requests are logged in AWS Cloud Trail. AWS Glue Data Catalog Multi-Engine views are generally available in commercial AWS Regions where AWS Lake Formation, AWS Glue Data Catalog, Amazon Redshift, and Amazon Athena are available. To get started with this feature, refer to the below:
PostgreSQL 17 Beta 3 is now available in Amazon RDS Database preview environment
Published Date: 2024-08-08 17:00:00
Amazon RDS for PostgreSQL 17 Beta 3 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 17 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 17 Beta 3 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database. PostgreSQL 17 includes updates to vacuuming that reduces memory usage, improves time to finish vacuuming, and shows progress of vacuuming indexes. With PostgreSQL 17, you no longer need to drop logical replication slots when performing a major version upgrade. PostgreSQL 17 continues to build on the SQL/JSON standard, adding support for JSON_TABLE features that can convert JSON to a standard PostgreSQL table. The MERGE command now supports the RETURNING clause, letting you further work with modified rows. PostgreSQL 17 also includes general improvements to query performance and adds more flexibility to partition management with the ability to SPLIT/MERGE partitions. Please refer to the PostgreSQL community announcement for more details. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the Preview Environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the Preview Environment. Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.
AWS Snowball Edge Storage Optimized 210TB device offers lower capacity pricing option
Published Date: 2024-08-08 17:00:00
AWS Snowball Edge Storage Optimized 210TB device now offers a 100TB pricing option for data migration. With this offering, the AWS Snowball Edge Storage Optimized 210TB device supports two pricing options for data migration: less than 100TB, and from 100TB to 210TB pricing. In addition, the AWS Snowball Edge Storage Optimized 210 device is now available in the following additional regions: Africa (Cape Town), Asia Pacific (Jakarta), Canada (Central), Europe (Stockholm), and Europe (Milan). For the majority of data migration workloads, customers should use AWS DataSync as a secure, online service that automates and accelerates moving data between on premises and AWS Storage services. When bandwidth is limited, or a connection is intermittent, customers can use AWS Snowball Edge Storage Optimized 210TB for offline data migration. The 100TB pricing option is available in all AWS Regions where the AWS Snowball Edge Storage Optimized 210TB is available. Learn more, visit the AWS Snowball Pricing, Snow product page and Snow Family documentation.
Amazon EMR 7.2 now supports Apache Spark 3.5.1
Published Date: 2024-08-08 17:00:00
Today, we are excited to announce that the Amazon EMR 7.2 release is now generally available and includes Apache Spark 3.5.1, Trino 436, and PrestoDB 0.285, Apache Iceberg 1.5.0 and Delta 3.1. Furthermore, with Amazon EMR 7.2, you can view additional Amazon CloudWatch metrics for enhanced monitoring in the Amazon EMR console, which provides comprehensive monitoring capabilities, allowing you to track the performance and health of your cluster more effectively. You can configure the Amazon CloudWatch Agent to publish metrics for Apache Hadoop, YARN, and Apache HBase applications running on your Amazon EMR on EC2 clusters, and track the metrics of each cluster within the EMR console. In addition, Amazon EMR 7.2 adds support for Apache Flink Operator 1.8 with Amazon EMR on EKS. Amazon EMR release 7.2 is now available in all regions where Amazon EMR is available. See Regional Availability of Amazon EMR, and our release notes for more detailed information. To learn how to enable Amazon CloudWatch Agent metrics, view the documentation. ?
Amazon RDS for PostgreSQL supports minor versions 16.4, 15.8, 14.13, 13.16, and 12.20
Published Date: 2024-08-08 17:00:00
Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 16.4, 15.8, 14.13, 13.16, and 12.20. This release of RDS for PostgreSQL also includes updates for PostgreSQL extensions such as pgvector 0.7.3, hypopg 1.4.1, and others. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. You are able to leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance window. Learn more about upgrading your database instances in the Amazon RDS User Guide. 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. ?
AWS Glue announces GA of new ML-powered Glue Data Quality capability
Published Date: 2024-08-08 17:00:00
AWS Glue announces general availability of a new AWS Glue Data Quality(Glue DQ) capability that uses ML-powered anomaly detection algorithms to detect hard-to-find data quality issues and anomalies. This helps customers proactively identify and fix data quality issues. Data engineers and analysts use rules in Glue DQ to measure and monitor their data. While Glue DQ's existing rule-based approach works well for known data patterns, it may miss unexpected anomalies . Now, data engineers and analysts can use Glue DQ's Anomaly Detection capability to easily detect unanticipated data quality issues. To use this feature, customers can write rules or analyzers and then turn on Anomaly Detection in Glue ETL. Glue DQ collects statistics for columns specified in rules and analyzers, applies ML algorithms to detect anomalies, and generates easy-to-understand visual observations explaining the detected issues. Customers can use recommended rules to capture the anomalous patterns and provide feedback to tune the ML model for more accurate detection. To learn more, visit read the blog, watch the introductory video, or refer to the documentation. This capability is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Stockholm), Europe (Frankfurt), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo).
AWS Marketplace launches new dasbhoard and data feed to track customer agreement and renewals for AWS Marketplace sellers
Published Date: 2024-08-08 17:00:00
Amazon Web Services, Inc. (AWS) announces the launch of the Agreements data feed for the Seller Delivery Data Feed Service(SDDS). The Agreement data feed provides Sellers the ability to programmatically create the granular data from the Seller Insight dashboards in a Seller preferred business intelligence tool to track subscriptions, revenue and renewals. For AWS Marketplace sellers leveraging the Seller Delivery Data Feed Service (SDDS), the updated agreement data can be accessed through a new data feed: AgreementFeed_V1. Data can be extracted, transformed and loaded from a seller’s Amazon S3 Bucket to a preferred data warehouse or relational database. In addition, the Agreements and Renewals Insight dashboard includes an enhanced view of AWS Marketplace agreements for SaaS, Server and Professional Services products. The enhanced view includes estimated agreement value and agreement status. Agreement status enables Sellers to identify agreements at different stages of the lifecycle allowing easy categorization of AWS Marketplace sales at a glance. Estimated agreement value helps Sellers during renewal pricing discussions by providing reference to previous agreement values. Prior to this launch, AWS Marketplace sellers relied on email notifications or the AWS Marketplace Agreements API to collect agreement status and estimated value. AWS Marketplace sellers can utilize the agreements and renewals dashboard or data feeds to track and analyze key aspects of their customer agreements. To setup SDDS, visit the AWS Seller guide for accessing data feeds. To learn more about the agreements and renewals dashboard, visit the AWS Seller guide on Seller dashboards for sales operations.
Amazon CloudWatch Application Signals now supports Amazon Bedrock
Published Date: 2024-08-07 21:50:00
Amazon CloudWatch Application Signals now supports Amazon Bedrock, enabling users to troubleshoot errors and slow performance in generative AI applications. Amazon Bedrock is a fully managed service that offers foundation models (FMs) built by leading AI companies, such as Anthropic, Meta, and Amazon along with other tools for building generative AI applications. For users with generative AI applications relying on Bedrock FMs, this enhancement provides a deeper understanding of how failures such as model validation exceptions or how latency in different models impact end user experience. Application Signals, provides out-of-the-box dashboards to correlate telemetry across metrics, traces, logs, real-user monitoring, and synthetic monitoring for your application and its dependencies, such as Amazon Simple Queue Service (SQS), Amazon S3, or Amazon Bedrock, speeding up troubleshooting application disruption. For example, an application developer operating an LLM (Large Language Model) application that invokes Bedrock FMs can track if their customer support API is experiencing any issues. They can then drill into the precisely correlated trace contributing to the error, along with correlated logs, to establish the root cause, such as invalid model inputs or long response times from LLM models, leading to poor end user experience. Tracking model performance within your application allows you to evaluate different models and choose the best one for your use case, optimizing for cost and customer experience. To learn more, see documentation to enable Amazon CloudWatch Application Signals on your applications interacting with Amazon Bedrock models. To try Application Signals on a sample application visit AWS One Observability Workshop.
Announcing the general availability of AWS Backup logically air-gapped vault
Published Date: 2024-08-07 18:20:00
Today, AWS Backup announces the general availability of logically air-gapped vault, a new type of AWS Backup vault that allows secure sharing of backups across accounts and organizations, supporting direct restore to help reduce recovery time from a data loss event. Logically air-gapped vault stores immutable backup copies that are locked by default, and isolated with encryption using AWS owned keys. You can get started with logically air-gapped vault using the AWS Backup console, API, or CLI. Target backups to a logically air-gapped vault by specifying it as a copy destination in your backup plan. Share the vault for recovery or restore testing with other accounts using AWS Resource Access Manager (RAM). Once shared, you can initiate direct restore jobs from that account, eliminating the overhead of copying backups first. AWS Backup support for logically air-gapped vault is available in the following Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Middle East (Bahrain, UAE), Israel (Tel Aviv) and South America (Sao Paulo). It currently supports Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), Amazon Aurora, Amazon DocumentDB, Amazon Neptune, AWS Storage Gateway, Amazon Simple Storage Service (S3), Amazon Elastic File System (EFS), Amazon DynamoDB, Amazon Timestream, AWS CloudFormation, and VMware. For more information visit the AWS Backup product page, documentation, and launch blog.
Amazon RDS for Oracle supports memory optimized R6i instance types in the AWS GovCloud (US) Regions
Published Date: 2024-08-07 17:00:00
Starting today, Amazon Relational Database Service (RDS) for Oracle now supports memory optimized R6i instance types in the AWS GovCloud (US-East) and AWS GovCloud (US-West) regions. The memory optimized R6i instance types feature up to 8x the RAM per vCPU of the existing R6i instance types to better fit your workloads. Many Oracle database workloads require high memory, storage, and I/O bandwidth but can safely reduce the number of vCPUs without impacting application performance. Memory optimized R6i instances come in various configurations from 2 vCPUs to 48 vCPUs, memory from 32 GiB to 1024 GiB, and up to 64:1 memory-to-vCPU ratio. These configurations will allow you to right-size instances for your Oracle workloads. Memory optimized R6i instances are available in Bring Your Own License (BYOL) license model and for both Oracle Database Enterprise Edition (EE) and Oracle Database Standard Edition 2 (SE2) editions. You can launch additional memory configurations of the R6i instance class in the Amazon RDS Management Console or using the AWS CLI. Amazon RDS for Oracle is a fully managed commercial database that makes it easy to set up, operate, and scale Oracle deployments in the cloud. To learn more about Amazon RDS for Oracle, read RDS for Oracle User Guide and visit Amazon RDS for Oracle Pricing for available instance configurations, pricing details, and region availability. ?
Amazon EFS now supports up to 30 GiB/s (a 50% increase) of read throughput
Published Date: 2024-08-07 17:00:00
Amazon EFS provides serverless, fully elastic file storage that makes it simple to set up and run file workloads in the AWS cloud. In March 2024, we increased the Elastic Throughput read throughput limit to 20 GiB/s (from 10 GiB/s) to support the growing demand for read-heavy workloads such as AI and machine learning. Now, we are further increasing the read throughput to 30 GiB/s, extending EFS’s simple, fully elastic, and provisioning-free experience to support throughput-intensive AI and machine learning workloads for model training, inference, financial analytics, and genomic data analysis. The increased throughput limits are immediately available for EFS file systems using the Elastic Throughput mode in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU West (Dublin), and Asia Pacific (Tokyo) Regions. To learn more, see the Amazon EFS Documentation or create a file system using the Amazon EFS Console, API, or AWS CLI. ?
Claude 3.5 Sonnet and Claude 3 Haiku now available in more regions
领英推荐
Published Date: 2024-08-07 17:00:00
Beginning today, Amazon Bedrock customers in US West (Oregon), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Singapore) can now access Claude 3.5 Sonnet. Additionally, Amazon Bedrock customers in Asia Pacific (Tokyo) and Asia Pacific (Singapore) can now access Claude 3 Haiku. Claude 3.5 Sonnet is Anthropic’s latest foundation model and ranks among the most intelligent in the world. With Claude 3.5 Sonnet, you can now get intelligence better than Claude 3 Opus, at one fifth the cost. Claude 3 Haiku is Anthropic’s most compact model, and one of the fastest, most affordable options on the market for its intelligence category. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other foundation models from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, as well as Amazon via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustainable growth from generative AI while maintaining privacy and security. To learn more, read the Claude in Amazon Bedrock product page and documentation. To get started with Claude 3.5 Sonnet and Claude 3 Haiku in Amazon Bedrock, visit the Amazon Bedrock console. ?
Announcing delegated administrator for Cost Optimization Hub
Published Date: 2024-08-07 17:00:00
Cost Optimization Hub is an AWS Billing and Cost Management feature that helps you consolidate and prioritize cost optimization recommendations, so that you can get the most out of your AWS spend. Starting today, you can designate a member account as the delegated administrator, allowing that account to view cost optimization recommendations in the Cost Optimization Hub with administrator privileges, giving you greater flexibility to identify resource optimization opportunities centrally. Delegating an administrator allows you to manage Cost Optimization Hub independently of the management account and incorporate AWS security best practices, which recommend delegating responsibilities outside of the management account where possible. Cost Optimization Hub delegated administrators can easily identify, filter, and aggregate over 15 types of AWS cost optimization recommendations, such as EC2 instance rightsizing recommendations, idle resource recommendations, and Savings Plans recommendations, across your AWS accounts and AWS Regions through a single console page. Delegated administrator for Cost Optimization Hub is available in all AWS Regions where Cost Optimization Hub and AWS Organizations are available. To learn more about delegated administrator for Cost Optimization Hub, see the user guide.
Amazon EC2 High Memory instances now available in Europe (Paris) Region
Published Date: 2024-08-07 17:00:00
Starting today, Amazon EC2 High Memory instances with 9TiB of memory (u-9tb1.112xlarge) are now available in Europe (Paris) region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options. Amazon EC2 High Memory instances are certified by SAP for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, and SAP BW/4HANA in production environments. For details, see the Certified and Supported SAP HANA Hardware Directory. For information on how to get started with your SAP HANA migration to EC2 High Memory instances, view the Migrating SAP HANA on AWS to an EC2 High Memory Instance documentation. To hear from Steven Jones, GM for SAP on AWS on what this launch means for our SAP customers, you can read his launch blog. ?
Amazon QuickSight now includes nested filters
Published Date: 2024-08-07 17:00:00
Amazon QuickSight includes a new advanced filter type: nested filters. Authors can use a nested filter to use one field in a dataset to filter another field in the dataset. You might know this by another name such as in SQL this would be known as a correlated sub-query and in shopping analysis this would be known as market basket analysis. Nested filtering enables authors to show additional contextual data, rather than filtering it out if it doesn’t meet an initial condition. This can be useful in many different scenarios including market basket analysis where it is now possible to find out sales quantity by product for those customers who have purchased a specific product or who did not purchase a specific product. It is now also possible to find out the group of customers who did not purchase any one of the selected product list or only purchased a specific list of products. Nested filters are now available in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Asia Pacific (Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland and London), South America (S?o Paulo) and AWS GovCloud (US-West). See here for QuickSight regional endpoints. For more on how to set up a nested filter, go to our documentation here?and blog post?here. ?
Announcing G4dn WorkSpaces Personal bundles with WSP for Windows
Published Date: 2024-08-06 18:30:00
Amazon WorkSpaces is introducing G4dn WorkSpaces Personal bundles with WSP (WorkSpaces Streaming Protocol) for Windows. Now you can run your graphics-intensive and accelerated applications on Windows using G4dn WorkSpaces with WSP on AWS. The Graphics G4dn bundles offer cost-effective solutions for graphics applications optimized for NVIDIA GPUs using NVIDIA libraries such as CUDA, CuDNN, OptiX, and Video Codec SDK. With WSP, your users will benefit from a highly responsive remote desktop experience with 4K resolution and support for multiple monitors. G4dn WorkSpaces with WSP is available for Windows Server 2022. Alternatively, you can bring your own Windows desktop licenses for Windows 10/11. You can deploy the Graphics G4dn bundles for Windows with WSP in AWS Regions where WorkSpaces is available, except for the Africa (Cape Town) and Israel (Tel Aviv) Regions. You can launch G4dn Graphics bundles for Windows with WSP from the AWS Management Console, AWS API, or AWS CLI. See the Amazon WorkSpaces pricing page for more information.
Amazon EC2 High Memory instances now available in Europe (Frankfurt) Region
Published Date: 2024-08-06 17:00:00
Starting today, Amazon EC2 High Memory instances with 18TiB of memory (u-18tb1.112xlarge) are now available in Europe (Frankfurt) region. Customers can start using these new High Memory instances with On Demand and Savings Plan purchase options. Amazon EC2 High Memory instances are certified by SAP for running Business Suite on HANA, SAP S/4HANA, Data Mart Solutions on HANA, Business Warehouse on HANA, and SAP BW/4HANA in production environments. For details, see the Certified and Supported SAP HANA Hardware Directory. For information on how to get started with your SAP HANA migration to EC2 High Memory instances, view the Migrating SAP HANA on AWS to an EC2 High Memory Instance documentation. To hear from Steven Jones, GM for SAP on AWS on what this launch means for our SAP customers, you can read his launch blog. ?
Introducing Titan Image Generator v2 now available on Amazon Bedrock
Published Date: 2024-08-06 17:00:00
We’re excited to announce the launch of Amazon Titan Image Generator v2, a new image generation model which brings to customers additional control and flexibility - including image conditioning using ControlNet, subject consistency, and background removal. With Amazon Titan Image Generator v2 image conditioning, you can use a reference image to guide the generation of the output image. Image conditioning uses ControlNet techniques, like canny edge to preserve edges, and segmentation to identify regions in the reference image, to guide image generation. Amazon Titan Image Generator v2 also lets you fine-tune the model for subject consistency, allowing you to preserve specific images, objects, or themes in the output. Amazon Titan Image Generator v2’s background removal supports intelligent detection and segmentation, allowing it to work with multiple foreground objects and overlapping elements in the image. With Amazon Titan Image Generator v2, you can now shape your visual narratives like never before, guiding the generative process with precision and infusing your artistic vision into every pixel. Amazon Titan Image Generator v2 is now available in the US East (N. Virginia), US West (Oregon). To learn more, read about Amazon Titan Image Generator v2 in the AWS News launch blog, visit the Amazon Titan product page, or refer to our documentation. To get started with Amazon Titan Image Generator v2 in Amazon Bedrock, visit the Amazon Bedrock console.
Simplified Migration Acceleration Program for VMware funding experience in AWS Partner Central
Published Date: 2024-08-06 17:00:00
Today, Amazon Web Services, Inc. (AWS) announces a simplified Migration Acceleration Program (MAP) template in AWS Partner Central that includes the VMware Strategic Partner Incentive (SPI). Eligible AWS Partners can leverage the enhanced MAP template to accelerate more VMware customer migration opportunities with a simple approval workflow and access to SPIs. The simplified MAP template accelerates VMware opportunities by providing better speed to market with fewer AWS approval stages. The AWS Partner Funding Portal (APFP) automatically calculates the eligible VMware SPI incentive and creates associated claim milestones. This improves overall partner productivity by eliminating manual steps. Now, partners can skip navigating to a separate Partner Initiative Funding (PIF) benefit and directly request the VMware SPI as part of the standard MAP template. The simplified 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 APFP user guide. ?
Large language models powered by Amazon Sagemaker Jumpstart available in Redshift ML
Published Date: 2024-08-06 17:00:00
Amazon Redshift ML enables customers to create, train, and deploy machine learning models on their Redshift data using familiar SQL commands. Now, you can leverage pretrained publicly available LLMs in Amazon SageMaker JumpStart as part of Redshift ML. For example, you can use LLMs to summarize feedback, perform entity extraction, and conduct sentiment analysis on data in your Redshift table. Large Language Models in Redshift ML is now generally available which empowers you to bring the power of generative AI to your data warehouse. With this capability, Amazon Redshift ML removes the complexities of building custom machine learning pipelines to perform generative AI tasks like text summarization or categorization. To get started, create an endpoint using one of the supported text based LLMs in SageMaker Jumpstart, create a Redshift ML model referencing the endpoint and you can start invoking the LLM endpoint using standard SQL commands through Redshift ML using your data in Redshift. Amazon Redshift support for Large Language Models in Amazon Sagemaker Jumpstart is now available where Amazon Redshift is available and Amazon Sagemaker Jumpstart is available. To learn more, visit the Amazon Redshift database developer guide. ?
New version of Amazon ECR basic scanning is now generally available
Published Date: 2024-08-06 17:00:00
Today, Amazon Elastic Container Registry (ECR) announced the general availability of a new version of basic scanning. The new version of ECR basic scanning uses Amazon’s native scanning technology, which is designed to provide customers with improved scanning results and vulnerability detection across a broad set of popular operating systems. This allows customers to further strengthen the security of their container images. ECR basic scanning enables customers to identify software vulnerabilities in their ECR container images. Customers can either scan their container images manually or via configurations that specify which repositories should be scanned when an image is pushed. Today’s launch enables customers to detect container image vulnerabilities across popular operating systems and receive improved scan findings. The new version of ECR basic scanning is now generally available in all AWS commercial regions and the AWS GovCloud (US) Regions at no additional cost. Existing customers can switch to the new version by using the AWS console or using the new put-account-setting API. New ECR accounts are automatically opted into using the new scanning version. To learn more about ECR basic scanning, this change, and supported regions, please visit our documentation. ECR also offers enhanced scanning which is powered by Amazon Inspector and comes with additional security benefits, including scanning for programming language package vulnerabilities. A complete list of differences between ECR basic scanning and enhanced scanning can be found here. ?
AWS Control Tower releases 2 new descriptive control APIs
Published Date: 2024-08-06 17:00:00
AWS Control Tower customers can now programmatically get descriptions for managed controls. These APIs enable automation of AWS Control Tower’s library of managed controls improving ease of use for control deployment. With this release customers can extend AWS Control Tower governance into regions where some of their enabled controls are not available. Customers can also enable a control in additional Regions, even though the control is not supported in all of their governed Regions. AWS Control Tower now supports the below APIs:
Announcing Terraform support Amazon Timestream for InfluxDB Deployments
Published Date: 2024-08-06 17:00:00
We are excited to announce the launch of Terraform compatibility for Amazon Timestream for InfluxDB. Terraform support enables you to automate and streamline your time-series data management workflows with infrastructure-as-code (IaC). With Terraform support, you can now define and manage your Timestream for InfluxDB instances, databases, and tables using Terraform configuration files, reducing manual errors and increasing efficiency. This feature makes it easier to version and track changes to your infrastructure, providing a more seamless experience for industrial and IoT applications. To get started, use the AWS-provided Terraform Reference Engine on GitHub that con?gures the code and infrastructure required for the Terraform open source engine to work with Amazon Timestream for InfluxDB. Amazon Timestream for InfluxDB is available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Europe (Ireland), Europe (Frankfurt), and Europe (Stockholm). To learn more about this new feature and how to get started, visit the Amazon Timestream for InfluxDB product page, documentation, and pricing page. You can also explore the Terraform documentation for more information on how to integrate Terraform with Timestream for InfluxDB. ?
Amazon OpenSearch Service OR1 instances now available in Sao Paulo
Published Date: 2024-08-06 17:00:00
OR1, the OpenSearch Optimized Instance family, is now available in South America (Sao Paulo). OR1 delivers up to 30% price-performance improvement over existing instances (based on internal benchmarks), and uses Amazon S3 to provide 11 9s of durability. The new OR1 instances are best suited for indexing-heavy workloads, and offers better indexing performance compared to the existing memory optimized instances available on OpenSearch Service. OR1 enables customers to economically and reliably scale their OpenSearch deployments without compromising the interactive analytics experience they expect. Each OR1 instance is provisioned with compute, local instance storage for caching, and remote Amazon S3-based managed storage. OR1 offers pay-as-you-go pricing and reserved instances, with a simple hourly rate for the instance, local instance storage, as well as provisioned managed storage. OR1 instances come in sizes ‘medium’ through ‘16xlarge’, and offer compute, memory, and storage flexibility. OR1 instances support OpenSearch versions 2.11 and above. Please refer to the Amazon OpenSearch Service pricing page for pricing details. OR1 instance family is now available on Amazon OpenSearch Service in South America (Sao Paulo). Please refer to the AWS Region Table for more information about Amazon OpenSearch Service availability. To get started with OR1 instances, visit our documentation. ?
Amazon Cognito enhances Advanced Security Features (ASF) to disallow password reuse and stream security events
Published Date: 2024-08-06 17:00:00
Amazon Cognito enhances Advanced Security Features (ASF) to address additional enterprise needs. You now have the option to disallow users from reusing previous passwords, helping you address compliance needs. Additionally, you now have the option to stream security events from ASF to an Amazon S3 bucket, Amazon Kinesis Firehose, or CloudWatch Insights. This allows you to combine ASF events with security signals from other AWS and third-party tools, helping you gain better insights and elevating security. Amazon Cognito is?a service that makes it simpler to add authentication, authorization, and user management to your web and mobile apps. The service provides authentication for applications with millions of users and supports sign-in with social identity providers such as Apple, Facebook, Google, and Amazon, and enterprise identity providers via standards such as SAML 2.0 and OpenID Connect. This new feature is now available as part of Cognito advanced security features in all AWS Regions, except AWS GovCloud (US) Regions.
To get started, see the following resources:
Amazon Connect now supports additional agent scheduling staffing rules
Published Date: 2024-08-05 21:30:00
Amazon Connect now supports additional agent scheduling staffing rules, making it easier to schedule agents while complying with labor, union, and other contractual rules. You can now configure five new rules for scheduling agents in Amazon Connect: minimum rest period between shifts, minimum rest period per week, maximum consecutive working days, maximum consecutive day of the week worked, and shift cannot start earlier than the previous day's shift. Once configured, these rules will be applied when new schedules are generated as well as when existing schedules are edited. These additional rules in agent scheduling make day-to-day management of agent schedules easier for managers. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To get started with Amazon Connect agent scheduling, click here.
Elastic Load Balancing Trust Store now supports cross-account sharing using AWS Resource Access Manager
Published Date: 2024-08-05 18:30:00
Elastic Load Balancing (ELB) Trust Stores now supports a new capability that enables cross-account sharing via AWS RAM (Resource Access Manager). This feature allows customers to centrally manage their ELB Trust Stores across multiple accounts to streamline trust store management and enable consistent Mutual TLS configurations across Application Load Balancers (ALBs). With this launch, ELB Trust Store owners can now share their trust stores and revocation lists with other AWS accounts, organizational units (OUs), and specific IAM roles and users through AWS RAM. Security Admins can now maintain a single or smaller number of trust stores within AWS. Application developers can ensure that their ALBs are reliably authenticating certificate based identities by simply attaching the trust store(s) managed by their respective security admins while configuring their load balancers. This improves operational efficiency while using Mutual TLS and reduces the potential for human error associated with managing disparate trust stores and revocation lists. This feature is now available in all commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more, refer to the ELB documentation.
AWS CodeBuild now supports three new Arm-based compute types
Published Date: 2024-08-05 17:00:00
AWS CodeBuild now supports building and testing your software applications on three new Arm-based compute types: Medium, X-Large and 2X-Large. You can select up to 48 vCPUs and 96 GB memory to run more resource-intensive workloads. With the addition of these new compute types, you now have similar compute options for running x86 and Arm workloads on CodeBuild. You can build and test your software applications on Arm without the need to emulate or cross-compile. CodeBuild supports AWS Graviton 3 processors, which delivers a leap in performance and capabilities over previous generations of AWS Graviton processors. These compute types are now available in: US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), China (Beijing), China (Ningxia), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Stockholm), Israel (Tel Aviv), Middle East (Bahrain), Middle East (UAE), South America (S?o Paulo). To learn more about CodeBuild’s compute options, please visit our documentation. To get started, visit the AWS CodeBuild product page. ?
Amazon RDS for Oracle now supports July 2024 Release Update
Published Date: 2024-08-05 17:00:00
Amazon Relational Database Service (Amazon RDS) for Oracle now supports the July 2024 Release Update (RU) for Oracle Database versions 19c and 21c. To learn more about Oracle RUs supported on Amazon RDS for each engine version, see the Amazon RDS for Oracle Release notes. If the auto minor version upgrade (AmVU) option is enabled, your DB instance is upgraded to the latest quarterly RU six to eight weeks after it is made available by Amazon RDS for Oracle in your AWS Region. These upgrades will happen during the maintenance window. To learn more, see the Amazon RDS maintenance window documentation. For more information about the AWS Regions where Amazon RDS for Oracle is available, see the AWS Region table. ?
AWS Resilience Hub introduces improved resource grouping capabilities
Published Date: 2024-08-05 17:00:00
Today, AWS Resilience Hub is launching improved resource grouping to more intelligently group your resources into Application Components, which are resources that work and fail as a single unit, when onboarding your application. Customers who want to manage and improve the resilience posture of their applications on AWS can now more quickly and easily onboard their application to Resilience Hub with the new improved resource grouping feature. This feature simplifies onboarding by automatically and accurately organizing resources into appropriate AppComponents. Customers are presented with the grouping recommendations and can determine if the recommendations are accurate and apply to their case. This is particularly valuable for complex, cross-Region applications, as it helps minimize total onboarding time and enables more efficient and organized resilience assessments. The improved resource grouping feature is available in all AWS Regions where Resilience Hub is supported. To learn more about Resilience Hub, visit the documentation and product pages.
Amazon DataZone offers business use case-based grouping with data products
Published Date: 2024-08-05 17:00:00
Today, Amazon DataZone introduces data products, which enable the grouping of data assets into well-defined, self-contained packages tailored for specific business use cases. For example, a marketing analysis data product can bundle various data assets, such as marketing campaign data, pipeline data, and customer data. With data products, customers can simplify discovery and subscription processes, aligning them with business objectives and reducing redundancy in handling individual assets. To get started, data producers can create a collection of relevant cataloged assets in the Amazon DataZone portal, add business context, and publish it as a data product unit. This makes it easier for data consumers to find all necessary data assets for specific use cases. Consumers can subscribe to all assets within a data product through a single approval workflow. Data producers can also manage the product's lifecycle, including managing subscriptions and removing it from the catalog. Amazon DataZone offers API support for data product workflows, facilitating integration and automation. The feature is supported in all the AWS commercial regions where Amazon DataZone is currently available. Check out this blog and video to learn more about data products in Amazon DataZone. Get started with the technical documentation.
Amazon Verified Permissions improves support for OIDC identity providers
Published Date: 2024-08-05 17:00:00
Amazon Verified Permissions has simplified implementing fine-grained authorization for developers using third party identity providers, such as Okta, CyberArk and Transmit security. Developers can now authorize user actions, based on attributes and group memberships, managed within their own open id connect (OIDC) compliant identity provider. For example, in a insurance claims processing application, you can authorize that only users in the “manager” group who completed the “high value claim training” are allowed to approve claims for more than $10,000. Verified Permissions provides fine-grained authorization for the applications that you build, allowing you to implement permissions as Cedar policies rather than application code. This feature simplifies implementing fine-grained authorization by enabling you to pass OIDC tokens to authorize requests. When authorizing the request, Amazon Verified Permissions validates the OIDC token and evaluates Cedar policies using user attributes and groups extracted from the token. You can get started using the feature by visiting Amazon Verified Permission from the AWS console, and creating a new policy store. 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 Amazon Verified Permissions is available. For more information visit the Verified Permissions product page. ?
Amazon Connect now supports audio optimization for Amazon WorkSpaces cloud desktops
Published Date: 2024-08-05 17:00:00
Amazon Connect now makes it easier to deliver high-quality voice experiences in Amazon WorkSpaces Virtual Desktop Infrastructure (VDI) environments. Amazon Connect automatically optimizes audio by redirecting media from your agent’s local desktop to Connect, simplifying the agent experience and improving audio quality by reducing network hops. Agents can simply log into their Amazon WorkSpaces client application for a Windows device, a web browser, or Amazon WorkSpaces Thin Client and start accepting calls using your custom agent user interface (i.e., custom Contact Control Panel) using APIs in the Amazon Connect open source JavaScript libraries. These new features are available in all AWS regions where Amazon Connect is offered. To learn more, please see the documentation.