9/9/2022, 12:00:00 AM ~ 9/12/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon RDS for MySQL supports new minor version 8.0.30
Amazon Relational Database Service (Amazon RDS) for MySQL now supports MySQL minor version 8.0.30. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MySQL, and, to benefit from the numerous fixes, performance improvements, and new functionality added by the MySQL community.
Applications using Amazon SNS to send SMS can now be hosted in four new regions
Customers that use Amazon Simple Notification Service (Amazon SNS) can now host their applications in Europe (Milan), Africa (Cape Town), Asia Pacific (Osaka), and AWS GovCloud (US-East) regions, and send text messages (SMS) to consumers in more than 200 countries and territories. Using Amazon SNS, customers can send a message directly to one phone number, or multiple phone numbers at once by subscribing those phone numbers to a topic and sending messages to the topic.
AWS Firewall Manager adds support for AWS WAF custom requests and responses
AWS Firewall Manager now enables you to configure AWS WAF to add custom web requests and responses.
Amazon Cognito enables time-based-one-time-password (TOTP) self-enrollment in hosted UI
Amazon Cognito hosted UI now enables end users to register their own authenticator apps. Customers can now enable users to self-enroll in either SMS based one-time-passwords (OTP) or a time-based-one-time-password (TOTP) authenticator app. Administrators no longer have to initiate end user enrollment when using TOTP with hosted UI. With this new addition, developers using hosted UI will now have the same level of security as before, but without having to develop any custom code, enabling them to focus on improving their application. Administrators will now spend less time onboarding end users to a higher level of authentication assurance. End users of the application now also have the convenience of adding their own authenticator apps and leveraging multi-factor authentication (MFA) when accessing applications that use Cognito hosted UI. Customers can benefit from a higher level of authentication for their applications at no additional cost.
Amazon Quicksight adds Missing Data control for line and area charts
Amazon QuickSight now supports ‘Missing Data’ control for both line and area charts. Previously, line charts only supported ‘missing data’ treatment for datetime fields. Now, we have added support for categorical data as well for both line and area charts. Instead of displaying broken lines (default behavior), Authors can also choose to display broken lines as either continuous lines by directly connecting to the next available data point in series or interpolate these missing values with zero and display a continuous lines. More details can be found here.
Amazon Kinesis Data Analytics for Apache Flink now publishes three new container-level metrics to Amazon CloudWatch: CPU Utilization, Memory Utilization, and Disk Utilization of Flink Task Managers. Task Managers are the worker nodes of a Flink application that perform the data processing. These new metrics provide enhanced visibility to Task Manager resource usage and can be used to easily scale applications running on Kinesis Data Analytics.
Amazon SageMaker enables customers to deploy ML models to make predictions (also known as inference) for any use case. You can now deploy large models (up to 500GB) for inference on Amazon SageMaker’s Real-time and Asynchronous Inference options by configuring the maximum EBS volume size and timeout quotas. This launch enables customers to leverage SageMaker’s fully managed Real-time and Asynchronous inference capabilities to deploy and manage large ML models such as variants of GPT and OPT.
Announcing the composite slot type for Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build sophisticated, natural language, conversational bots (“chatbots”), virtual agents, and IVR systems. Today, Amazon Lex introduces the composite slot type. A slot is used to capture user input and provide the bot the necessary information to fulfill a task. In some cases, the information contains multiple values, each requiring its own slot. For example, a customer making a payment may confirm credit card details to the bot (“Card ending in 5678 with an expiration of September 2025 and billing zip 94105”). Previously, bot builders had to elicit each slot individually (e.g., “Please provide last 4 of the card number”, “Now, please provide the expiration date on the card”). With the composite slot type, Amazon Lex can capture the full user response at once and associate each piece of information with the appropriate slot.
Amazon Personalize increases limits for all customers, simplifying large scale deployments
We are excited to announce that Amazon Personalize is increasing service limits and quotas for existing and new customers, making it easier to deploy Personalize at scale. Amazon Personalize enables developers to improve customer engagement through personalized product and content recommendations – no ML expertise required. Prior to this launch, limits on the use of certain Personalize resources and the rate of data import API calls were set at the AWS account level. For example, customers could use a maximum of 10 filters at a given time in their AWS account. Similarly, customers were limited to 1,000 PutEvent requests per second for their AWS account. With this launch, Personalize transitioned these limits and others from an account level to a dataset group (DSG) level. Customers can now have up to 10 filters and 1,000 PutEvents per second, per DSG. You can create up to 5 dataset groups per account, meaning you can create a total of 50 filters and 5,000 PutEvents per second for each AWS account. This means higher capacity from Amazon Personalize for customers with multiple use-cases or multiple tenants using Amazon Personalize in their applications. These improvements also make it easier to request limit increases. By simply requesting an increase for DSGs via the AWS quotas console, customers will also benefit from increased limits on other resources and API rates, when aggregated at the account level.
AWS Security Hub launches a new security best practice control
AWS Security Hub has launched a new control for its Foundational Security Best Practice standard (FSBP) to enhance your Cloud Security Posture Management (CSPM). This control conducts fully-automatic checks against security best practices for AWS Auto Scaling. If you have Security Hub set to automatically enable new controls and are already using AWS Foundational Security Best Practices, the control is enabled for you automatically. Security Hub now supports 224 security controls to automatically check your security posture in AWS.
AWS Blogs
AWS Japan Blog (Japanese)
AWS Architecture Blog
AWS Cloud Operations & Migrations Blog
- AWS Control Tower releases API, pre-defined controls to your organizational units
- Prepare for an Audit in AWS Part 2 – General Best Practices
- Prepare for an Audit in AWS Part 1 – AWS Audit Manager, AWS Config, and AWS Artifact
- How Kyndryl used AWS Service Management Connector, AWS Config and AWS Systems Manager to achieve lifecycle management of AWS resources through ServiceNow
- Announcing AWS Observability Accelerator to configure comprehensive observability for Amazon EKS
AWS Big Data Blog
- Amazon migrates financial reporting to Amazon QuickSight
- New additions to line charts in Amazon QuickSight
AWS Database Blog
- Validate database objects post-migration from Microsoft SQL Server to Amazon RDS for MySQL and Amazon Aurora MySQL
- Reduce database patching downtime in Amazon RDS Custom for Oracle using Oracle Data Guard Standby-First Patch Apply
Desktop and Application Streaming
AWS for Industries
AWS Machine Learning Blog
- Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference
- Tips to improve your Amazon Rekognition Custom Labels model
- Use ADFS OIDC as the IdP for an Amazon SageMaker Ground Truth private workforce
- How Amp on Amazon used data to increase customer engagement, Part 2: Building a personalized show recommendation platform using Amazon SageMaker
- How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform
- Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS