9/16/2022, 12:00:00 AM ~ 9/19/2022, 12:00:00 AM (UTC)
Recent Announcements
Amazon ECS now delivers a faster Cluster Auto Scaling experience for scale-in events
Amazon Elastic Container Service (Amazon ECS) has improved Amazon ECS Capacity Providers to deliver a faster Cluster Auto Scaling experience for scale-in events. Amazon ECS now scales-in excess capacity at a much faster rate, which helps you improve utilization of your infrastructure and saves compute costs.
Amazon SageMaker Automatic Model Tuning allows you to find the most accurate version of your machine learning model by searching for the optimal set of hyperparameter configurations. SageMaker Automatic Model Tuning now supports Hyperband, a new search strategy that can find the optimal set of hyperparameters up to 3x faster than Bayesian search for large-scale models such as deep neural networks that address computer vision problems.
AWS IoT TwinMaker Launches v1.2.0 of the TwinMaker Grafana Plugin
AWS IoT TwinMaker introduces new features to improve the performance of data panels powered by the TwinMaker Grafana Plugin. For a complete list of features, see the changelog on AWS IoT TwinMaker App in Grafana.\n A few key features included in this new version are:
Customers can now define the maximum number of alarms that are retrieved by the Get Alarms Query, which provides a way to configure payload size.
The Get Property Value History by Entity query and Get Property Value History by Component Type query now support template variables such as propertyName. This enables developers to create dynamic time-series data panels that will display different properties/metrics based on selected entities.
Amazon RDS for MariaDB supports new minor versions 10.5.17, 10.4.26, 10.3.36
Amazon Relational Database Service (Amazon RDS) for MariaDB now supports MariaDB minor versions 10.5.17, 10.4.26 and 10.3.36. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the numerous bug fixes, performance improvements, and new functionality added by the MariaDB community.
AWS Fargate increases compute and memory resource configurations by 4x
AWS Fargate customers can now configure Amazon Elastic Container Service (ECS) tasks and Amazon Elastic Kubernetes Service (EKS) pods to use up to 16 vCPUs, an approximately 4x increase from before. vCPUs are the primary compute resource in ECS tasks and EKS pods. Larger vCPUs enable compute-heavy applications like machine learning inference, scientific modeling, and distributed analytics to more easily run on Fargate. In addition, customers can now provision up to 120 GiB of memory on Fargate, also a 4x increase from before. This helps batch workloads, extract, transform, load (ETL) jobs, genomics, and media processing applications better perform memory-intensive operations on Fargate. Larger vCPU and memory options may also make migration to serverless container compute simpler for applications that need more compute resources and cannot be easily re-architected into smaller microservices.
AWS Batch extends the job report retention period from 24 hours to 7 days
AWS Batch has increased the job report retention period from 24 hours to 7 days. This means that you can now query the details for AWS Batch jobs that were completed up to 7 days ago. With this longer retention period, you no longer need to worry about jobs disappearing after a day. You can query jobs a few days after submitting them, and have greater visibility over the jobs that you submitted throughout the week.
AWS App Runner now supports deployment using cross-region Amazon ECR image
AWS App Runner now supports Amazon ECR images from any AWS region to create or update App Runner services. App Runner makes it easy for developers to quickly deploy containerized web applications and APIs to the cloud, at scale, and without having to manage infrastructure. With App Runner you can deploy your application from source code or a container image directly in the AWS cloud. Regardless of the source type, App Runner takes care of starting, running, scaling, and load balancing your service.
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AWS Machine Learning Blog
- Discover insights from Zendesk with Amazon Kendra intelligent search
- Amazon SageMaker Automatic Model Tuning now provides up to three times faster hyperparameter tuning with Hyperband
- Read webpages and highlight content using Amazon Polly
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- 10 reasons to import a certificate into AWS Certificate Manager (ACM)
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