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AWS Official Blog 12/03/2019 20:33
We are announcing Provisioned Concurrency, a feature that provides customers greater control over performance of their serverless applications at any scale. Functions using Provisioned Concurrency execute with consistent start-up latency making them ideal for building interactive mobile or web backends, latency sensitive microservices, and synchronously invoked APIs.
AWS Official Blog 12/03/2019 15:21
Amazon EMR is now available on AWS Outposts, allowing you to deploy open-source tools like Apache Spark and Apache Hive in your data center. Using , you can set up, deploy, manage, and scale Apache Hadoop, Apache Hive, Apache Spark, and Presto clusters in your on-premises environments, just as you would in the cloud. Amazon EMR on AWS Outposts provides cost-efficient capacity while automating time-consuming administration tasks like infrastructure provisioning, cluster setup, configuration, or tuning, freeing you to focus on your applications.
AWS Official Blog 11/27/2019 12:22
AWS Managed Services (AMS) launched support for AWS CloudFormation (CFN) Stack Update. You can now make changes to your stack’s configurations or change it’s resources, such as new input parameter values or updated template, through the AMS request for change (RFC) process. Changes submitted are validated for safety and only nondestructive changes are automatically executed. For destructive changes, a change set is provided to you for approval before automated execution.
AWS Official Blog 11/26/2019 19:58
Amazon EMR release 6.0.0 (Beta 2) is now available with Hive 3.1.2, Hadoop 3.2.1, Spark 2.4.4, and Scala 2.12. In this release, Hive LLAP is enabled by default, allowing you to benefit from improved query performance and new features such as materialized views, and workload management. Additionally, Scala has been upgraded, allowing you to start testing your Spark applications with Scala 2.12.
AWS Official Blog 11/26/2019 19:27
Today, we publish additional query metrics that can help customers understand performance. Athena publishes query-related metrics to . With this release, Athena will publish four additional query metrics. They are:. Query Planning Time, the time taken to plan the query. This includes the time spent retrieving table partitions from the data source,. Query Queuing Time, the time that the query was in a queue waiting for resources,. Service Processing Time, the time taken to write results after the query engine finished its execution,. Total Execution Time, time Athena took to run the query.
AWS Official Blog 11/26/2019 19:13
Following the recent announcement of , we have updated to support PostgreSQL version 11.4. includes major improvements to partitioning, improvements to parallelism, and many other useful performance improvements like adding columns with a non-null column default faster. This version includes SQL stored procedures that allow embedded transactions within a procedure.
AWS Official Blog 11/26/2019 18:50
Amazon CloudWatch Contributor Insights for Amazon DynamoDB (Preview) is a new diagnostic tool that provides an at-a-glance view of the traffic trends of your DynamoDB table and helps you identify the most frequently accessed keys. Now, you can monitor a table’s item access patterns continuously and also use to provide graphs and visualizations of the table’s activity. You can use this information to better understand the top drivers of your application’s traffic and respond appropriately to unsuccessful requests.

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