What a week it’s been for AWS customers. Just in the last 5 days we already seen a huge number of product releases including:

AWS Sumerian: With Sumerian, you can construct an interactive 3D scene without any programming experience, test it in the browser, and publish it as a website that is immediately available to users. Product details can be found https://aws.amazon.com/about-aws/whats-new/2017/11/announcing-amazon-sumerian-preview/

Amazon MQ:Amazon MQ is a managed message broker service for Apache ActiveMQ that makes it easy to set up and operate message brokers in the cloud. Amazon MQ works with your existing applications and services without the need to manage, operate, or maintain your own messaging system. See Jeff’s blog post here https://aws.amazon.com/blogs/aws/amazon-mq-managed-message-broker-service-for-activemq/

Amazon EC2 Bare Metal Instances:Amazon EC2 Bare Metal instances provide your applications with direct access to the processor and memory of the underlying server. These instances are ideal for workloads that require access to hardware feature sets (such as Intel VT-x), or for applications that need to run in non-virtualized environments for licensing or support requirements. For for info on getting into the preview, visit https://aws.amazon.com/about-aws/whats-new/2017/11/announcing-amazon-ec2-bare-metal-instances-preview/

PrivateLink for Customers/Partners: We announced that customers can now use AWS PrivateLink to access third party SaaS applications from their Virtual Private Cloud (VPC) without exposing their VPC to the public Internet. Customers can also use AWS PrivateLink to connect services across different accounts and VPCs within their own organizations, significantly simplifying their internal network architecture. See details https://aws.amazon.com/about-aws/whats-new/2017/11/aws-privatelink-now-available-for-customer-and-partner-services/ and kloud will be blogging about this much more in the coming weeks

Amazon GuardDuty:Amazon GuardDuty is a threat detection service that gives you a more accurate and easy way to continuously monitor and protect your AWS accounts and workloads. With a few clicks in the AWS Management Console, GuardDuty begins analyzing AWS data across all your AWS accounts integrated with threat intelligence feeds, anomaly detection, and machine learning for more actionable threat detection in an easy to use, pay as you go cloud security service. Again, Jeff’s done a great article https://aws.amazon.com/blogs/aws/amazon-guardduty-continuous-security-monitoring-threat-detection/

Now that Andy Jassy’s keynote has just finished, we now have a bunch more:

AWS Fargate: containers as a service where a customer no longer needs to manage the underlying EC2 instances. See blog post https://aws.amazon.com/blogs/aws/aws-fargate/

Elastic Kubernetes Service: the same level of integration we’ve to come expect from ECS, but running kubernetes. For more details, see https://aws.amazon.com/blogs/aws/amazon-elastic-container-service-for-kubernetes/

Aurora serverless: Designed for workloads that are highly variable and subject to rapid change, this new configuration allows you to pay for the database resources you use, on a second-by-second basis. More details can be found https://aws.amazon.com/blogs/aws/in-the-works-amazon-aurora-serverless/

AWS recognition for video: Amazon Rekognition Video is a new video analysis service feature that brings scalable computer vision analysis to your S3 stored video, as well as, live video streams. see Jeff’s blog here https://aws.amazon.com/blogs/aws/launch-welcoming-amazon-rekognition-video-service/

AWS Neptune: a fast and reliable graph database service that makes it easy to gain insights from relationships among your highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds of latency. Jeff’s blog can be found https://aws.amazon.com/blogs/aws/amazon-neptune-a-fully-managed-graph-database-service/

AWS DeepLens: a new video camera that runs deep learning models directly on the device, out in the field. You can use it to build cool apps while getting hands-on experience with AI, IoT, and serverless computing. AWS DeepLens combines leading-edge hardware and sophisticated on-board software, and lets you make use of AWS Greengrass, AWS Lambda, and other AWS AI and infrastructure services in your app. See here for the latest blog post https://aws.amazon.com/blogs/aws/deeplens/

This is by no means a complete list of everything released, but just a glimpse of what’s come out so far. Stay tuned to our blog for detailed deep dives into some of these services.

Amazon Web Services

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