Amazon Kinesis Data Analytics is now available in the US East (Ohio) AWS Region. Amazon Kinesis Data Analytics is the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks. Amazon Kinesis Data Analytics enables you to query streaming data or build entire streaming applications using SQL, so that you can gain actionable insights and respond to your business and customer needs promptly. 

New York-based private equity firm American Industrial Partners or AIP will acquire Current, and together the duo will work to further Current’s push into the LED-centric smart lighting space and Internet of Things technologies.

You can now launch M5 instance types when using Amazon RDS for Oracle . Amazon EC2 M5 instances are the next generation of the Amazon EC2 General Purpose compute instances. M5 instances offers a balance of compute, memory, and networking resources for a broad range of database workloads.

You can now enable AWS WAF for your APIs in Amazon API Gateway, making it easier to protect your APIs against common web exploits.

AWS WAF is a web application firewall that helps protect your web applications and APIs from attacks by allowing you to configure rules that allow, block, or monitor (count) web requests based on customizable rules and conditions that you define.

You can use AWS WAF for your Amazon API Gateway APIs to protect from attacks such as SQL injection and Cross-Site Scripting (XSS). Additionally, you can filter web requests based on IP address, geographic area, request size, and/or string or regular expression patterns using the rules. You can put these conditions on HTTP headers or body of the request itself, allowing you to create complex rules to block attacks from specific user-agents, bad bots, or content scrapers. You can also take advantage of Managed Rules from AWS Marketplace to get immediate protections for your APIs from common threats, such as OWASP Top 10 security risks and Common Vulnerabilities and Exposures (CVE).

Support for AWS WAF with Amazon API Gateway is available in US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), EU (Ireland), EU (Frankfurt), Asia Pacific (Sydney) and Asia Pacific (Tokyo) regions. For more information on Amazon API Gateway visit our product page . To learn about AWS WAF, please click here .

You can learn more about how to enable AWS WAF for Amazon API Gateway in our documentation .

Amazon Web Services (AWS) announces the availability of new EC2 instances featuring 2.5 GHz AMD EPYC 7000 series processors that are variants of Amazon EC2’s general purpose (M5 ) and memory optimized (R5 ) instance families. The AMD-based instances provide additional options for customers who are looking to achieve a 10% cost savings on their Amazon EC2 compute environment for a variety of workloads. M5a instances are ideal for business-critical applications, web and application servers, back-end servers for enterprise applications, gaming servers, caching fleets, and app development environments. R5a instances are ideal for high performance databases, distributed web scale in-memory caches, mid-size in-memory databases, real time big data analytics, and other enterprise applications.

Amazon EC2 Spot Console now provides savings information for Spot Instances launched in your account, enabling you to quickly understand the cost savings achieved over On-Demand prices. Using the Spot console, now you can view the usage and savings information for Spot Instances at the fleet level, or for all the running Spot Instances. You can view the savings made in the last hour or the last three days, and you can view the average cost per vCPU hour and per memory (GiB) hour. You can also view the detailed usage and savings information for the individual instance types used per single Spot Fleet or for all the running Spot instances.

To start viewing the Spot savings information for Spot fleets, choose “Savings” for a selected Spot Fleet request under EC2 Spot Console. By default, usage and savings information is displayed for the last 3 days. To start viewing the Spot savings across all the running instances, choose “Savings Summary” under EC2 Spot Console.

EC2 Spot savings information is accessible only using EC2 Spot Console. EC2 Spot savings is now available in all public AWS regions.

You can learn more about this feature by reading the documentation page .

The Machine Learning for Telecommunicaton solution provides a framework for an end-to-end machine learning (ML) process including ad-hoc data exploration, data processing and feature engineering, and model training and evaluation. It also includes a synthetic telecom IP Data Record (IPDR) dataset to demonstrate how to use ML algorithms to test and train models for predictive analysis in telecommunication. Customers can use the included notebooks as a starting point to develop their own custom ML models, and customize the included Jupyter notebooks for their own use case.

Hello! Bonjour! Hola! Ciao! Hallo! 안녕! 您好！您好！こんにちは！Olá!

Amazon S3 Management Console is now available in five new languages – Spanish, Italian, German, Traditional Chinese, and Portuguese – increasing the number of languages supported by the S3 Management Console to ten. The expansion of languages makes it even easier to configure, manage, and administer your S3 storage buckets and objects in your native language. The S3 Management Console is also available in English, French, Japanese, Korean, and Simplified Chinese.

Starting today, payer accounts can access all of their linked accounts’ Reserved Instance (RI) purchase recommendations from a centralized view, making it easy to identify cost savings opportunities on a per-account basis. Previously, payer accounts were only able to access recommendations based on the aggregate usage across all of their accounts. This launch expands the RI purchase recommendation capabilities to allow payer accounts to generate and view recommendations based on the usage incurred by each account. This allows you to easily identify the cost savings opportunities for each of your accounts from a central location, eliminating the need to access recommendations separately for each of your accounts.

You can now use Apache Flink 1.6.0, Apache Zeppelin 0.8.0, and S3 Select with Apache Hive and Presto on Amazon EMR release 5.18.0. Flink 1.6.0 adds several new features and updates, including native support for state TTL that allows you to control access to Flink states and support for HTTP/REST based job submissions that allows better integration with container environments on the cluster. It also features several SQL and Table API improvements that simplify the executions of streaming and batch queries and adds SQL support for Avro data format. Zeppelin 0.8.0 features support for running Spark interpreter in Apache Hadoop YARN cluster mode, support for Ipython interpreter, and ability to use Apache HDFS as backend storage for saving and reading Zeppelin notebook files.

With EMR release 5.18.0, you can now use S3 Select with Hive and Presto. S3 Select allows applications to retrieve only a subset of data from an object stored in Amazon S3. This improves performance as it reduces the amount of data that needs to be transferred to and processed by the EMR cluster when running Hive and Presto queries. Please visit S3 Select with Hive and S3 Select with Presto pages to learn more about these features.

Additionally, with this release, you can also use the upgraded versions of Apache Spark 2.3.2, Apache HBase 1.4.7, and Presto 0.210.

You can create an Amazon EMR cluster with the release 5.18.0 by choosing the release label “emr-5.18.0” from the AWS Management Console, AWS CLI, or SDK. You can select Flink, HBase, Presto, and Zeppelin to install these applications when you launch your EMR cluster. Please visit the Amazon EMR documentation for more information about EMR release 5.18.0 , Flink 1.6.0 , HBase 1.4.7 , Spark 2.3.2 , Presto 0.210 , and Zeppelin 0.8.0.

Amazon EMR release 5.18.0 is now available in all supported regions for Amazon EMR.

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