Amazon Aurora with MySQL compatibility now offers a quick way to recover from user errors, such as dropping the wrong table or deleting the wrong row. Backtrack allows you to move your database to a prior point in time without needing to restore from a backup, and it completes within seconds, even for large databases.

Application Load Balancers and Network Load Balancers now support resource- and tag-based permissions. This enables customers to implement fine-grained access controls on their load balancers using IAM policies.

Prior to this announcement, customers could only create user- or group-level policies to restrict API actions on the load balancers in their account. Customers were forced to give users all-or-nothing control over the resources. For instance, a user policy to allow DeleteLoadBalancer API would permit the user to delete any load balancer in the account.

With this release, policies can be applied on specific load balancer resources identified by their ARNs or tags. This is supported for all types of load-balancer resources i.e. load balancer, listener, rule and target groups.

Learn more by reading the load balancer user guide . You can also subscribe to our discussion forum to get launch announcements and post your questions.

The PostgreSQL-compatible edition of Amazon Aurora is now available in 13 regions. With the addition of the Asia Pacific (Seoul) AWS Region, you have a new option for database placement, availability, and scalability.

Today, we are announcing the capability to retrieve latest instance console output throughout the lifecycle of Amazon EC2 instances. 

This Quick Start automatically deploys CloudStax NoSQL DB for Apache Cassandra into a highly available architecture on AWS, using Amazon Elastic Container Service (Amazon ECS) for container orchestration and CloudStax FireCamp for stateful service management. 

The IoT Device Simulator is a solution that that enables customers to create and simulate hundreds of virtual connected devices, without having to configure and manage physical devices, or develop time-consuming scripts. The solution also includes a pre-built automotive module that you can use to simulate vehicle telemetry data using pre-defined device types. The automotive module uses a power train simulation model to generate simulated vehicle telemetry data.

Amazon GameLift helps you quickly deploy, scale, and manage dedicated game servers in the cloud at a low cost and deliver low-latency, multiplayer game experiences globally. Typical multiplayer games use only 50% of their peak server capacity on average, meaning that half of the time the game servers have no active players. To reduce wasted capacity and costs, Amazon GameLift can automatically turn off game servers when they are not needed and add new game servers when more players arrive, based on rules you set.

AWS Elemental MediaLive is a broadcast-grade live video processing service. It lets you create high-quality live video streams for delivery to broadcast televisions and internet-connected multiscreen devices, like connected TVs, tablets, smartphones, and set-top boxes. The service functions independently or as part of AWS Media Services, a family of services that form the foundation of cloud-based workflows and offer you the capabilities you need to create, package, and deliver video. To learn more, please visit http://aws.amazon.com/medialive .

Customers that call in to your Amazon Connect contact center can now provide input using their touch-tone keypad for contact flows using an Amazon Lex chatbot. Previously, customers could interact with Amazon Lex chatbots in Amazon Connect contact centers through voice input. Keypad input provides greater flexibility for your customers to now choose how they want to interact with your contact center, in a format that is most comfortable for their environment. For example, keypad input is often preferred when calling from a location with an abundance of ambient noise, or to ensure privacy when in a public space.

Keypad input will work with your existing Amazon Lex chatbots that you’ve already created for your contact center. Amazon Lex interprets the spoken utterance or dual-tone-multi-frequency signaling (DTMF) digits entered on a keypad, and uses them to understand the caller’s intent.

You can use Amazon Lex chatbots with Amazon Connect in the US-East (Northern Virginia) AWS region. To learn more about using Amazon Lex chatbots with Amazon Connect, visit the Amazon Lex Chatbot web page. There are no additional Amazon Connect charges to use Amazon Lex chatbots in your contact flows, but you will be billed for Amazon Lex usage. You can find out more about Amazon Connect, a self-service, cloud contact center , by visiting the Amazon Connect website.

We have added support for Apache Parquet and Apache ORC formats in Amazon Kinesis Data Firehose, so you can stream real-time data into Amazon S3 for cost-effective storage and analytics.