5/9/2023, 12:00:00 AM ~ 5/10/2023, 12:00:00 AM (UTC)
Recent Announcements
AWS IoT SiteWise now provides the ability for customers to automatically compute aggregated asset property values every 15 minutes. Customers can now get aggregated values for asset properties, metrics and transforms (mathematical expressions that map asset properties’ data points from one form to another) for every minute, 15-minute, hour, and day. AWS IoT SiteWise computes commonly used statistical aggregates such as average, count, maximum, minimum, standard deviation, and sum over multiple time intervals. Customers can map data streams and define static or computed equipment and process properties across all facilities so they’re readily available for analysis. For non-numeric properties, such as Strings and Booleans, AWS IoT SiteWise computes only the count aggregate.
AWS IoT SiteWise enhances optimized storage in hot path data for higher throughput
Today, AWS IoT SiteWise announced new performance enhancements that will significantly improve the retrieval of industrial data from its hot storage tier. We have improved the GetAssetPropertyValueHistory and BatchGetAssetPropertyValueHistory APIs by increasing the maximum number of results for each paginated response from 250 up to 20K. With these upgrades, developers can now retrieve asset property data, including measurements, attributes, metrics, and transforms, at high velocity to build industrial applications.
AWS Glue large instance types are now generally available
Today, AWS announces the general availability of AWS Glue G.4X and G.8X, the next series of AWS Glue workers for your most demanding serverless data integration workloads. Glue G.4X and G.8X workers provide higher compute, memory, and storage resources than current Glue workers. These new types of workers help you scale and run your most demanding data integration workloads, such as memory-intensive data transforms, skewed aggregations, machine learning transforms, and entity detection checks with petabytes of data.
AWS Network Firewall ingress TLS inspection is now available in all regions
Ingress Transport Layer Security (TLS) inspection for AWS Network Firewall is now available in all AWS Regions where AWS Network Firewall is available today, including the AWS GovCloud (US) Regions. With this launch, you can use AWS Network Firewall to decrypt, inspect, and re-encrypt TLS traffic originating from the internet, another VPC, or another subnet.
Amazon QuickSight adds new scatterplot options supporting additional use cases
Amazon QuickSight now supports advance use cases for scatterplots with new options like support for visualizing unaggregated data, new ‘label’ field well and performance improvements.
Introducing Amazon EC2 I4g storage-optimized instances
Amazon Elastic Compute Cloud (EC2) I4g storage-optimized instances powered by AWS Graviton2 processors are now generally available. I4g instances deliver the best compute price performance for a storage-optimized instance versus comparable x86-based storage optimized instances, and the best storage performance per TB for a Graviton-based storage instance. Based on AWS Nitro SSDs that are custom built by AWS and reduce both latency and latency variability, I4g instances are optimized for workloads that perform a high mix of random read/write and require very low I/O latency, such as transactional databases (Amazon DynamoDB, MySQL, and PostgreSQL) and real-time analytics such as Apache Spark.
Amazon Managed Service for Prometheus now available in 4 additional AWS regions
Amazon Managed Service for Prometheus is now available in Asia Pacific (Mumbai), Asia Pacific (Seoul), South America (Sao Paulo) and Europe (Paris). Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that makes it easy to monitor and alarm on operational metrics at scale. Prometheus is a popular Cloud Native Computing Foundation open-source project for monitoring and alerting that is optimized for container environments such as Amazon Elastic Kubernetes Service.
AWS CloudTrail Lake enhances query support for all Presto SQL SELECT functions
AWS CloudTrail Lake, a managed data lake that lets organizations aggregate, immutably store, and query their audit and security logs for auditing, security investigations and operational troubleshooting, now supports all Presto SQL SELECT query functions for easy and flexible queryability of data . This new release includes support for popular query functions such as REGEXP_EXTRACT for sophisticated pattern matching such as finding all S3 requests made on a specific S3 bucket prefix, and UNNEST an array such as resources to query over its objects like resourceType. With this release, you can also add comments within the query for better readability.
Amazon Athena now supports Apache Hudi 0.12.2
You can now use Amazon Athena to query tables created with Apache Hudi 0.12.2 which includes support for improved scalability of queries accessing data sets in Amazon S3 data lake. The updated integration enables you to use Athena to query Hudi 0.12.2 tables managed via Amazon EMR, Apache Spark, Apache Hive or other compatible services.
AWS IoT Device Defender and secure tunneling is now available in Middle East (UAE) region
We’re excited to announce the General Availability of AWS IoT Device Defender and the secure tunneling feature of AWS IoT Device Management in the AWS Middle East (UAE) Region, providing flexibility to customers and extending the service footprint to an additional location in the Middle East besides AWS Middle East (Bahrain) Region.
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- Introducing Athena’s Provisioned Capacity
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- How Sentra manages data workflows using Amazon EKS, Dagster, and Karpenter to maximize cost-efficiency with minimal operational overhead
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- Perform Amazon Aurora PostgreSQL minor version upgrades with minimal downtime via minor version update improvements
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AWS Machine Learning Blog
- Announcing provisioned concurrency for Amazon SageMaker Serverless Inference
- Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker
- Transform, analyze, and discover insights from unstructured healthcare data using Amazon HealthLake
- Host ML models on Amazon SageMaker using Triton: Python backend