The first announcements made at AWS re:Invent 2019
Since 2 December, AWS experts from around the world have gathered at the cloud provider’s annual conference, AWS re:Invent 2019, in Las Vegas. The Premaccess team did not miss this must-attend event. It reports back to you on AWS’s first announcements, both new services and additional features.
TABLE OF CONTENTS
- Amazon Bracket
- Amazon Outpost
- Amazon EKS
- Amazon S3 Access Points
- Provisioned Concurrency for Lambda functions
- Amazon CodeGuru
- Amazon SageMaker
- EC2 Image Builder
- Managed Cassandra Service
- Amazon Detective
- UltraWarm
- Firecracker-container
Amazon Bracket
You are about to discover quantum computing (Quantum Computing). Unlike classical computers, which carry out operations with bits equal to 0 or 1, quantum computers can produce operations with bits in the state of 0 and 1. These are what we call qubits. Such computers can therefore multiply the number of calculations. They are rare and have to run in controlled physical environments. With Amazon Bracket, you can gain hands-on experience of qubits and quantum circuits, and create and test your circuits in a simulated environment.
https://aws.amazon.com/de/blogs/aws/amazon-braket-get-started-with-quantum-computing/
Amazon Outpost
Announced last year in preview, this service is now available. It lets you run your AWS infrastructure on premises, with access to the same APIs and tools available on the Cloud today.
https://aws.amazon.com/fr/outposts/
Amazon EKS is now available on Amazon Fargate
You can therefore use Amazon Elastic Kubernetes (EKS) to run Kubernetes pods on AWS Fargate. EKS and Fargate make it easier to run Kubernetes-based applications on AWS. With AWS Fargate, you no longer need to be a Kubernetes operations expert to run a highly available, cost-optimised cluster. Nor do you need to manage EC2 instances any more.
https://aws.amazon.com/fr/blogs/aws/amazon-eks-on-aws-fargate-now-generally-available/
Amazon S3 Access Points
Is a new S3 feature. It simplifies the management of access to shared data.
With S3 Access Points, you can easily create hundreds of access points with a dedicated name and custom permissions on your application.
https://aws.amazon.com/fr/about-aws/whats-new/2019/12/amazon-s3-access-points-manage-data-access-at-scale-shared-data-sets/
Provisioned Concurrency for Lambda functions
As Lambda celebrates its 5th year, the AWS team offers us even better control over the performance of our serverless applications. And that is with Provisioned Concurrency. This feature keeps your applications’ functions initialised so that they respond in a few milliseconds. It can be particularly useful for microservices.
https://aws.amazon.com/fr/blogs/aws/new-provisioned-concurrency-for-lambda-functions/
Managed services - AWS - Amazon Web Services - Premaccess
Amazon CodeGuru
You can automate the review of your code. Even for the most experienced engineers, it can be difficult to spot problems in code during peer reviews or unit tests. Amazon CodeGuru lets you identify the most expensive lines of code in your applications and receive recommendations to fix or improve them.
https://aws.amazon.com/fr/about-aws/whats-new/2019/12/aws-announces-amazon-codeguru-for-automated-code-reviews-and-application-performance-recommendations/
On the Machine Learning side, several new features have been added to Amazon SageMaker.
These include in particular:
https://aws.amazon.com/fr/blogs/aws/amazon-sagemaker-autopilot-fully-managed-automatic-machine-learning/
EC2 Image Builder
Until now, automating the generation of virtual images was not straightforward. EC2 Image Builder fills that gap. This new service makes it easier and faster to create and maintain secure operating system images for Windows Server and Amazon Linux 2. And it does so using automated build pipelines. The images created by EC2 Image Builder can be used with Amazon Elastic Compute Cloud (EC2).
https://aws.amazon.com/de/blogs/aws/automate-os-image-build-pipelines-with-ec2-image-builder/
Managed Cassandra Service
With Apache Cassandra, you store and manage large amounts of structured data.
But managing that data is not always simple and can take a lot of time. To address this, AWS is launching Amazon Managed Apache Cassandra Service (MCS). It is a scalable, highly available database service compatible with Apache Cassandra. As Amazon MCS is serverless, you only pay for the resources you use. It automatically resizes your tables according to your applications’ traffic. With MCS, there is no limit on table size. Your data is automatically replicated three times across several AWS availability zones for durability. Finally, this new service is integrated with AWS Identity and Access Management (IAM) to help you manage access to your tables and data.
https://aws.amazon.com/fr/blogs/aws/new-amazon-managed-apache-cassandra-service-mcs/
Amazon Detective
Helps you analyse and visualise the security of your data at scale. This service is not yet available, but you can get a preview of it here:
https://pages.awscloud.com/amazon-detective-preview.html
UltraWarm
A new highly available storage tool for Amazon Elasticsearch Service. Fully managed and low cost, it is available in preview today. It offers up to 900 TB of storage.
https://aws.amazon.com/fr/blogs/aws/announcing-ultrawarm-preview-for-amazon-elasticsearch-service/
Firecracker-containerd
The Firecracker-containerd repository, available on Github, lets you use a container runtime, Containerd, to manage Firecracker microVMs. Firecracker is an open source virtualisation technology built specifically to run secure, multi-tenant, container-based services. Thanks to this service, presented last year, you can deploy workloads on lightweight virtual machines (microVMs). The latter offer improved security and workload isolation compared with traditional virtual machines, while optimising the speed and efficiency of containers. Firecracker was developed by AWS to improve the customer experience, in particular on AWS Lambda and AWS Fargate.
https://github.com/firecracker-microvm/firecracker-containerd
https://firecracker-microvm.github.io/
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