AWS Elemental MediaPackage is a video origination and just-in-time packaging service that allows video distributors to securely and reliably deliver streaming content at scale. From a single video input, AWS Elemental MediaPackage creates video streams formatted to play on connected TVs, mobile phones, computers, tablets, and game consoles. It makes it easy to implement popular video features commonly found on DVRs, such as start-over, pause, and rewind. The service can also protect your content using Digital Rights Management (DRM) technologies.

This Quick Start deploys a Dynatrace Managed cluster on the Amazon Web Services (AWS) Cloud. 

Beginning today, if you’re using geoproximity routing in the Amazon Route 53 Traffic Flow console, you can see how your end users will be routed to each of your application’s endpoints on an interactive map.

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.