8/5/2022, 12:00:00 AM ~ 8/8/2022, 12:00:00 AM (UTC)

Recent Announcements

AWS IoT SiteWise now supports payload compression for data ingestion

AWS IoT SiteWise now supports payload compression for data ingested using the AWS IoT SiteWise data ingestion API (BatchPutAssetPropertyValue). By using payload compression industrial customers can reduce payload size and optimize network bandwidth used in order to ingest data to AWS IoT SiteWise.

Amazon Timestream is now available in Asia Pacific (Sydney) and Asia Pacific (Tokyo) AWS regions

You can now use Amazon Timestream in the Asia Pacific (Sydney) and Asia Pacific (Tokyo) AWS regions. Amazon Timestream is a serverless, fully managed, time series database for IoT, edge, and operational applications that can scale to process trillions of time series events per day up to 1,000 times faster than relational databases, and at as low as 1/10th the cost.

Amazon EC2 Is4gen and Im4gn instances are now available in four additional Regions

Starting today, Amazon EC2 Is4gen and Im4gn instances, the latest generation storage-optimized instances, are available in the AWS Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt), Europe (London) Regions. Is4gen and Im4gn instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of storage with the new AWS Nitro SSDs that are custom-designed by AWS to maximize the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics which continuously read and write from the SSDs in a sustained manner. AWS Nitro SSDs enable up to 60% lower latency and up to 75% reduced latency variability in Im4gn and Is4gen instances compared to the third generation of storage optimized instances. These instances maximize the number of transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads that require very fast access to data sets on local storage.

Amazon CloudWatch Evidently adds support for creating target customer segments for feature launches and experiments

Amazon CloudWatch Evidently introduces a new feature that allows customers to define target audience (segment) for experiments or launches using customer defined criteria. For example, customers can choose to run an experiment or launch a feature on a custom segment of Chrome browser users, early adopters of their service or users in a certain geographic region. When launching new features or experiments, customers can configure it to include multiple segments and each segment can be configured to serve one or more variants of the feature, monitor key metrics such as page load times and conversions, then safely dial up traffic for general use.

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