6/25/2024, 12:00:00 AM ~ 6/26/2024, 12:00:00 AM (UTC)

Recent Announcements

AI21 Labs’ Jamba-Instruct model now available in Amazon Bedrock

AI21 Labs’ Jamba-Instruct, a powerful instruction-following large language model, is now available in Amazon Bedrock. Fine-tuned for instruction following and built for reliable commercial use, Jamba-Instruct can engage in open-ended dialogue, understand context and subtext, and complete a wide variety of tasks based on natural language instructions.\n With its 256K context window, Jamba-Instruct has the capability to ingest the equivalent of a 800-page novel or an entire company’s financial filings for a given fiscal year. This large context window allows Jamba-Instruct to answer questions and produce summaries that are grounded in the provided inputs, eliminating the need for manual segmentation of documents in order to fit smaller context windows. With its strong reasoning and analysis capabilities, Jamba-Instruct can break down complex problems, gather relevant information, and provide structured outputs. The model is ideal for common enterprise use cases such as enabling Q&A on call transcripts, summarizing key points from documents, building chatbots, and more. Whether you need assistance with coding, writing, research, analysis, creative tasks, or general task assistance, Jamba-Instruct is a powerful model that can streamline your workflow and accelerate time to production for your gen AI enterprise applications.

Amazon CodeCatalyst now supports GitLab.com source code repositories

Amazon CodeCatalyst now supports the use of source code repositories hosted in GitLab.com in CodeCatalyst projects. This allows customers to use GitLab.com repositories with CodeCatalyst’s features such as its cloud IDE (Development Environments), Amazon Q feature development, and custom and public blueprints. Customers can also trigger CodeCatalyst workflows based on events in GitLab.com, view the status of CodeCatalyst workflows back in GitLab.com, and even block GitLab.com pull request merges based on the status of CodeCatalyst workflows.\n Customers want the flexibility to use source code repositories hosted in GitLab.com, without the need to migrate to CodeCatalyst to use it 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 GitLab.com is the top customer ask for CodeCatalyst. Now customers can use the capabilities of CodeCatalyst without the need for migration of source code from GitLab.com.

Amazon DocumentDB announces IAM database authentication

Amazon DocumentDB (with MongoDB compatibility) now supports cluster authentication with AWS Identity and Access Management (IAM) users and roles ARNs. Users and applications connecting to an Amazon DocumentDB cluster to read, write, update, or delete data can now use an AWS IAM identity to authenticate connection requests. These users and applications can use the same AWS IAM user or role when connecting to different DocumentDB clusters and to other AWS services.\n Applications running on AWS EC2, AWS Lambda, AWS ECS, or AWS EKS do not need to manage passwords in application when authenticating to Amazon DocumentDB using an AWS IAM role. These applications get their connection credentials through environment variables of an AWS IAM role, thus making it a passwordless mechanism. New and existing DocumentDB clusters can use AWS IAM to authenticate cluster connections without modifying the cluster configuration. You can also choose both password-based authentication and authentication with AWS IAM ARN to authenticate different users and applications to a DocumentDB cluster. Amazon DocumentDB cluster authentication with AWS IAM ARNs is supported by drivers which are compatible with MongoDB 5.0+. Authentication with AWS IAM ARNs is available in Amazon DocumentDB instance-based 5.0 clusters across all supported regions. To learn more, please refer to the Amazon DocumentDB documentation, and see the Region Support for complete regional availability. To learn more about IAM, refer to the product detail page.

Amazon Redshift Serverless with lower base capacity available in the Asia Pacific (Mumbai) Region

Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 8 Redshift Processing Units (RPUs) in the AWS Asia Pacific (Mumbai) region. Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 32 RPUs. With the new lower base capacity minimum of 8 RPUs, you now have even more flexibility to a support diverse set of workloads of small to large complexity based on your price performance requirements. You can increment or decrement the RPU in units of 8 RPUs.\n Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage data warehouse clusters. With Amazon Redshift Serverless, all users, including data analysts, developers, and data scientists, can use Amazon Redshift to get insights from data in seconds. With the new lower capacity configuration, you can use Amazon Redshift Serverless for production environments, test and development environments at an optimal price point when a workload needs a small amount of compute. To get started, see the Amazon Redshift Serverless feature page, user documentation, and API Reference.

Amazon MSK supports in-place upgrades from M5, T3 instance types to Graviton3 based M7G

You can now upgrade your Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned clusters running on X-86 based M5 or T3 instances and replace them with AWS Graviton3-based M7G instances with a single click of a button. In-place upgrades allows you to seamlessly switch over your existing provisioned clusters to M7G instance type for better price performance, while continuing to serve reads and writes for your connecting client applications.\n Switching to AWS Graviton3 processor based M7G instances on Amazon MSK provisioned clusters allows you to achieve up to 24% compute cost savings and up to 29% higher write and read throughput over comparable MSK clusters running on M5 instances. Additionally, these instances lower energy consumption by up to 60% than comparable instances, making your Kafka clusters more environmentally sustainable. In-place upgrades to M7G instances are now available in all AWS regions where MSK supports M7G. Please refer to our blog for more information on the price/ performance improvements of M7g instances and the Amazon MSK pricing page for information on pricing. To get started, you can update your existing clusters to M7G brokers using the AWS Management Console, and read our developer guide for more information.

Amazon Aurora now provides additional monitoring information during upgrades

Amazon Aurora now provides additional granular monitoring information during upgrades for enhanced observability. Customers can use the additional granularity shared in Amazon Aurora Events to stay informed and better manage their database upgrades.\n Customers upgrade their database version, operating system, and/or other components containing security, compliance, and functional enhancements. When applying upgrades, Aurora will now emit additional messages in Aurora Events and indicate when the database cluster is online and when it is not. For database minor version and patch upgrades, customers can use the messages to get additional granular insights about the exact downtime incurred for their database including the number of connections preserved during the upgrade. To learn more about how to monitor your upgrade process, you can view the technical documentation. 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. You can get started by launching a new Amazon Aurora DB instance directly from the AWS Console or the AWS CLI. To get started with Amazon Aurora, take a look at our getting started page.

Amazon EC2 C6a instances now available in additional regions

Starting today, the general-purpose Amazon EC2 C6a instances are now available in Asia Pacific (Hong Kong) region. C6a instances are powered by third-generation AMD EPYC processors with a maximum frequency of 3.6 GHz. C6a instances deliver up to 15% better price performance than comparable C5a instances. C6a instances offer 10% lower cost than comparable x86-based EC2 instances. These instances are built on the AWS Nitro System, a combination of dedicated hardware and lightweight hypervisor that delivers practically all of the compute and memory resources of the host hardware to your instances for better overall performance and security.

AWS CodeBuild supports Arm-based workloads using AWS Graviton3

AWS CodeBuild’s support for Arm-based workloads now run on AWS Graviton3 without any additional configuration.\n In February 2021, CodeBuild launched support for native Arm builds on the second generation of AWS Graviton processors. Support for this platform allows customers to build and test on Arm without the need to emulate or cross-compile. Now, CodeBuild customers targeting Arm benefit from the enhanced capabilities of AWS Graviton3 processors. The upgrade delivers up to 25% higher performance over Graviton2 processors. Graviton3 also uses up to 60% less energy for the same performance as comparable EC2 instances, enabling customers to reduce their carbon footprint in the cloud. CodeBuild’s support for Arm using Graviton3 is now available in: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Europe (Ireland), Europe (Frankfurt), Europe (London), Europe (Stockholm), Europe (Spain), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central). To learn more about CodeBuild’s support for Arm, please visit our documentation. To learn more about how to get started, visit the AWS CodeBuild product page.

Amazon ElastiCache supports M7g and R7g Graviton3-based nodes in additional AWS regions

Amazon ElastiCache now supports Graviton3-based M7g and R7g node families. ElastiCache Graviton3 nodes deliver improved price-performance compared to Graviton2. As an example, when running ElastiCache for Redis on an R7g.4xlarge node, you can achieve up to 28% increased throughput (read and write operations per second) and up to 21% improved P99 latency, compared to running on R6g.4xlarge. In addition, these nodes deliver up to 25% higher networking bandwidth.\n The M7g and R7g nodes are now available for Amazon ElastiCache in the following AWS regions: US East (N. Virginia and Ohio), US West (Oregon and N. California), Canada (Central), South America (Sao Paolo), Europe (Ireland, Frankfurt, London, Stockholm, Spain and Paris (m7g only)), Asia Pacific (Tokyo, Sydney, Mumbai, Hyderabad, Seoul and Singapore) regions. For complete information on pricing and regional availability, please refer to the Amazon ElastiCache pricing page. To get started, create a new cluster or upgrade to Graviton3 using the AWS Management Console, and get more information.

Amazon Time Sync Service expands microsecond-accurate time to 27 EC2 instance types

The Amazon Time Sync Service now supports clock synchronization within microseconds of UTC on 27 additional Amazon Elastic Compute Cloud (Amazon EC2) instance types in supported regions, including all C7gd, M7gd, and R7gd instances.\n Built on Amazon’s proven network infrastructure and the AWS Nitro System, customers can now access local, GPS-disciplined reference clocks on additional EC2 instance types. These clocks can be used to more easily order application events, measure 1-way network latency, increase distributed application transaction speed, and incorporate in-region and cross-region scalability features while also simultaneously simplifying technical designs. Additionally, you can audit your clock accuracy from your instance to monitor the expected microsecond-range accuracy. Customers already using the Amazon Time Sync Service on these newly supported instance types will see improved clock accuracy automatically, without needing to adjust their AMI or NTP client settings. Customers can also use standard PTP clients and configure a PTP Hardware Clock (PHC) to get the best accuracy possible. Both NTP and PTP can be used without needing any updates to VPC configurations. Amazon Time Sync with microsecond-accurate time is available in US East (N. Virginia) and the Tokyo regions on all R7g as well as C7i, M7i, R7i, C7a, M7a, R7a, M7g, C7gd, R7gd, and M7gd instance types. We will be expanding support to additional AWS Regions. There is no additional charge for using this service. Instructions to configure, and more information on the Amazon Time Sync Service, are available in the EC2 User Guide.

Amazon RDS for MySQL announces Extended Support minor 5.7.44-RDS.20240529

Amazon Relational Database Service (RDS) for MySQL announces Amazon RDS Extended Support minor version 5.7.44-RDS.20240529. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about the bug fixes and patches in this version in the Amazon RDS User Guide.\n Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your MySQL on Aurora and RDS after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

AWS Blogs

AWS Japan Blog (Japanese)

AWS Big Data Blog

AWS Database Blog

AWS DevOps Blog

AWS HPC Blog

AWS for Industries

AWS Machine Learning Blog

AWS for M&E Blog

Networking & Content Delivery

Open Source Project

AWS CLI

OpenSearch

Amplify for iOS