8/1/2024, 12:00:00 AM ~ 8/2/2024, 12:00:00 AM (UTC)
Recent Announcements
AWS Systems Manager launches API support for Quick Setup
Quick Setup, a capability of AWS Systems Manager, provides an intuitive console experience for configuring frequently used Amazon Web Services features and services with recommended best practices. With just a few clicks, customers can enable common configurations and best practices across accounts and regions. This includes enabling auto-updates for popular AWS agents, such as the CloudWatch agent, defining patch schedules and baselines for Amazon Elastic Compute Cloud (Amazon EC2) instances, or configuring AWS Resource Explorer to search and discover resources in AWS accounts or across an entire AWS Organization.\n Today, AWS Systems Manager announces the launch of a new Quick Setup API which enables customers to programmatically address these use cases. With this launch, customers can integrate the new Quick Setup API into their infrastructure as code and programmatic workflows. By calling the Quick Setup API, customers can automate the deployment of AWS services and their configurations, ensuring they are consistently setup across accounts and regions using tools such as the AWS CLI or the AWS SDK. To get started, review the Quick Setup API reference documentation.
New Amazon CloudWatch dimensions for Amazon EC2 On Demand Capacity Reservations
Today, we are introducing new Amazon CloudWatch(CW) dimensions for Amazon EC2 On-Demand Capacity Reservations(ODCR). The existing CW metrics for On-Demand Capacity Reservations can now be grouped using the following new dimensions: Availability Zone, Instance Match Criteria, Instance Type, Platform, Tenancy, or across all Capacity Reservations. You can group the metrics by any of these dimensions, within selected region.\n You can now efficiently monitor your On Demand Capacity Reservations and identify unused capacity by setting CloudWatch alarms on CloudWatch metrics on any of these six new dimensions in addition to the existing Capacity Reservation ID dimension. These new 5 minute dimension metrics are enabled by default and available to all ODCR customers at no additional cost in all commercial AWS Regions and the AWS GovCloud (US) Regions. To learn more about CloudWatch metrics for On-Demand Capacity Reservations, please refer to the ODCR technical documentation.
AWS CodePipeline introduces stage level conditions to implement pipeline gates
AWS CodePipeline V2 type pipelines now support stage level conditions to enable development teams to safely release changes that meet quality and compliance requirements. Customers can configure stage level conditions to gate a pipeline execution before entering the stage, and before exiting a stage - when all actions in the stage have completed successfully, or when any action in the stage has failed. A condition consists of one or more rules, and a result to apply when the condition fails. Customers can configure a stage level condition from the console, API, CLI, CloudFormation, or SDK.\n Customers can choose from rules that check the status of an Amazon CloudWatch alarm, or whether the current time is within the deployment window, and custom check by invoking an AWS Lambda function. A condition will fail if one or more rules fail, and CodePipeline will perform the configured result such as Rollback and Fail. For example, you can configure a condition to be evaluated when all the actions in a stage have successfully completed, and roll back the changes if a CloudWatch alarm goes into ALARM state within 60 minutes. Customers can also override a condition that blocks a pipeline execution if it fails a condition evaluation to allow the pipeline execution to enter or exit a stage. To learn more about using stage level conditions in your pipeline, visit our documentation. For more information about AWS CodePipeline, visit our product page. Stage level conditions feature is available in all regions where AWS CodePipeline is supported.
Amazon RDS for SQL Server supports integration of transaction log backup with DMS
Amazon RDS for SQL Server now integrates transaction log backups with Database Migration Service (DMS). This integration provides greater reliability in data replication for customers using DMS to replicate data from an RDS for SQL Server source database. If database connection interruptions or sudden transaction volume spikes cause active transaction logs to be archived before DMS can finish processing, DMS can now access the RDS for SQL Server backup logs to recover and resume replication. This prevents replication failures that would previously require a full data reload.\n The integration of transaction log backup with DMS is now generally available in all AWS regions where RDS for SQL Server is currently supported. To learn more about setting up ongoing DMS replication on a RDS for SQL Server DB instance, visit the documentation page.
Amazon Redshift releases drivers for supporting single sign-on with AWS IAM Identity Center
Amazon Redshift customers can now connect to their data warehouses via JDBC/ODBC/Python drivers with corporate identity by integrating their identity providers with AWS IAM Identity Center, which enables a seamless single-sign-on experience with other AWS services or Redshift tools that already support trusted identity propagation. With single sign-on capabilities, users can seamlessly access Amazon Redshift and other AWS services without the need to manage multiple sets of credentials.\n Customers can now connect to Amazon Redshift data warehouses from their SQL client tools over JDBC, Python, and ODBC drivers using their identity with their preferred identity provider such as Microsoft Entra Id, Okta, Ping, OneLogin, etc. by integrating with AWS IAM Identity Center. To authenticate with AWS IAM Identity Center, customers need to configure the issuer_url, plugin_name, and idc_region fields in the Extended Properties for their driver settings. Amazon Redshift supports a browser plugin for AWS IAM Identity Center, which will prompt a browser window for users to sign in with their user credentials defined in their corporate identity providers. Once the users are authenticated they will have authorized access to data based on the permissions defined in either Redshift roles or AWS Lake Formation. This feature is available in the AWS regions where both AWS IAM Identity Center and Amazon Redshift are available. For more information, see our documentation and blog.
Llama 3 is now available in the AWS GovCloud (US-West) Region
As of today, Amazon Bedrock customers can use Meta’s Llama 3 models, Llama 3 8B and Llama 3 70B, in the AWS GovCloud (US-West) Region.\n Meta Llama 3 is designed for you to build, experiment, and responsibly scale your generative artificial intelligence applications. You can now use these two Llama 3 models in Amazon Bedrock to easily experiment with and evaluate even more top foundation models for your use case. Llama 3 models support a broad range of use cases with improvements in reasoning, code generation, and instruction. The Llama 3 model family is a collection of instruction-tuned LLMs in 8B and 70B parameter sizes. Llama 3 8B is ideal for limited computational power and resources, faster training times, and edge devices. The model excels at text summarization, text classification, sentiment analysis, and language translation. Llama 3 70B is ideal for content creation, conversational AI, language understanding, research development, and enterprise applications. The model excels at text summarization and accuracy, text classification and nuance, sentiment analysis and nuance reasoning, language modeling, dialogue systems, code generation, and following instructions. Meta Llama 3 models are available in Amazon Bedrock in US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Canada (Central), Europe (London), and the GovCloud (US-West) AWS Region. To learn more, visit the Llama in Amazon Bedrock product page and documentation.
Amazon RDS for MySQL supports version 8.4 in RDS Database preview environment
Amazon RDS for MySQL now supports version 8.4 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Long-Term Support Release on Amazon RDS for MySQL. You can deploy MySQL 8.4 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases.\n MySQL 8.4 is the latest Long-Term Support Release from the MySQL community. MySQL Long-Term Support Releases include bug fixes, security patches, as well as new features. Please refer to the MySQL 8.4 release notes for more details about this release. The Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. 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. Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region.
AWS Application Migration Service supports New Relic post-launch action
Starting today, AWS Application Migration Service (AWS MGN) provides an action for installing New Relic’s infrastructure agent on your migrated instances. For each migrated server, you can choose to automatically install the New Relic infrastructure agent to support your observability needs.\n Application Migration Service minimizes time-intensive, error-prone manual processes by automating the conversion of your source servers to run natively on AWS. It also helps simplify modernization of your migrated applications by allowing you to select preconfigured and custom optimization options during migration. This feature is now available in all of the Commercial regions where Application Migration Service is available. Access the AWS Regional Services List for the most up-to-date availability information. To start using Application Migration Service for free, sign in through the AWS Management Console. For more information, visit the Application Migration Service product page. For more information on New Relic and to create an account, visit the New Relic sign-up page.
Amazon Bedrock achieves FedRAMP High authorization
Amazon Bedrock is a FedRAMP High authorized service in the AWS GovCloud (US-West) Region. Federal agencies, public sector organizations and other enterprises with FedRAMP High compliance requirements can now leverage Amazon Bedrock to access fully managed large language models (LLMs) and other foundation models (FMs). To learn more about Amazon Bedrock security and compliance, visit the webpage here.\n Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using other AWS services. To learn more and get started, see the following resources
Amazon Bedrock Developer Experience
Amazon Bedrock Console
Amazon DynamoDB Accelerator (DAX) is now available in additional AWS Regions
Amazon DynamoDB Accelerator (DAX) is now available in the Europe (Spain) and Europe (Stockholm) Regions. You can create DAX clusters using Amazon EC2 R5 and T3 instance types in these AWS Regions for applications that require microsecond latency.\n Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available caching service built for Amazon DynamoDB. DAX delivers up to a 10 times performance improvement—from milliseconds to microseconds—even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. You provision a DAX cluster, use the DAX client SDK to point your existing DynamoDB API calls to the DAX cluster, and let DAX handle the rest. For DAX Regional availability information, see the “Service endpoints” section on Amazon DynamoDB endpoints and quotas. Pricing details are available on the Amazon DynamoDB Pricing page. To get started with DAX, see Developing with the DynamoDB Accelerator (DAX) Client.
Amazon WorkSpaces now offers Microsoft Visual Studio
Today Amazon WorkSpaces and WorkSpaces Core are announcing the general availability of Microsoft Visual Studio 2022 on WorkSpaces Personal. Following this launch, WorkSpaces administrators can provide comprehensive Integrated Development Environment (IDE) for .NET and C++ developers on Windows powered WorkSpaces.\n With this launch, Amazon WorkSpaces adds Microsoft Visual Studio Enterprise 2022 and Microsoft Visual Studio Professional 2022 to the list of available license included applications on WorkSpaces Personal. Through the Manage applications workflow, which enables administrators to install the necessary set of applications on WorkSpaces Personal depending on the requirements of their end users and uninstall them when an end user is no longer in need of them. Amazon WorkSpaces administrators can now easily add or remove Microsoft Visual Studio 2022 on existing WorkSpaces Personal using the same workflow. This functionality is now available in all the AWS Regions where Amazon WorkSpaces Personal is available. You will be charged for the hardware and application bundles you choose for your WorkSpaces instances. For more details on pricing, refer to Amazon WorkSpaces pricing. To get started, Open the WorkSpaces console. In the navigation pane, choose WorkSpaces, Personal, select a WorkSpace and choose Actions, Manage applications. You can now install Microsoft Visual Studio 2022 on the selected WorkSpace. To learn more and see the list of supported operating systems, please refer to Manage applications in WorkSpaces Personal.
AWS CodeBuild now supports VPC-connectivity on Windows
AWS CodeBuild now supports connecting your Windows builds to your Amazon VPC resources. This new capability allows CodeBuild to access your VPC resources without requiring internet access. CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages.\n With this feature, you can use CodeBuild to build and test your software within your VPC and access resources such as Amazon Relational Database Service, Amazon ElastiCache, or any service endpoints that are only reachable from within a specific VPC. Configuring your builds to connect to your VPC also secures them by applying the same network access controls as defined in your security groups. This feature is available in US East (Ohio), US East (N. Virginia), US West (Oregon), Europe (Ireland), Europe (Frankfurt), South America (São Paulo), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Asia Pacific (Singapore), and Asia Pacific (Sydney) regions where Windows builds are supported. To get started, configure your CodeBuild project to use Windows compute and select the VPC that your project needs to access. To learn more about CodeBuild’s support for connecting to VPC, see configuring builds with VPC. Visit the product page to learn more about getting started with CodeBuild.
We are happy to announce that the product carbon footprint of Amazon WorkSpaces Thin Client has been verified by the Carbon Trust. This verification is based on measurement and estimation of the product’s carbon footprint throughout the stages of its lifecycle.\n The total lifecycle carbon emission for Amazon WorkSpaces Thin Client is 77kg CO2e as verified by the Carbon Trust. Additionally, this product is made from 50% recycled materials (power adapter and cable not included) and uses Sleep Mode to reduce energy consumption when idle. Amazon WorkSpaces Thin Clients are built to last. But when you’re ready, you can recycle your devices through Amazon Second Chance. See the product sustainability fact sheet for more information about Amazon WorkSpaces Thin Client’s sustainability features and Amazon’s commitment to sustainability. Visit the WorkSpaces Thin Client page and Amazon Business to learn more.
AWS Blogs
AWS Japan Blog (Japanese)
- Information on the release of materials and videos for the AWS Black Belt webinar in May and June 2024
- Achieve scalable IoT analytics with AWS
- How to migrate from Amazon Forecast to Amazon SageMaker Canvas
- AWS Weekly Roundup: Llama 3.1, Mistral Large 2, AWS Step Functions, AWS Certification Renewals, etc. (2024/7/29)
AWS Open Source Blog
AWS Architecture Blog
AWS Cloud Operations & Migrations Blog
- Automate your Multicloud operations with AWS Systems Manager and AWS Lambda
- Developing an AWS Service Catalog self-managed engine for governance
- How to perform Failover and Failback using AWS Elastic Disaster Recovery (AWS DRS) between VMware and AWS environments
AWS Big Data Blog
- Create a customizable cross-company log lake for compliance, Part I: Business Background
- Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift
AWS Contact Center
AWS Database Blog
- Using knowledge graphs to build GraphRAG applications with Amazon Bedrock and Amazon Neptune
- How Infosys used Amazon Aurora Zero-ETL to Amazon Redshift for near real-time analytics and insights
AWS DevOps Blog
AWS HPC Blog
Integration & Automation
AWS for Industries
AWS Machine Learning Blog
- Streamline insurance underwriting with generative AI using Amazon Bedrock – Part 1
- Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock
AWS for M&E Blog
AWS Security Blog
- Federated access to Amazon Athena using AWS IAM Identity Center
- AWS completes the first GDV joint audit with participant insurers in Germany