AWS re:Invent 2019 — A Recap
AWS re:Invent is the biggest learning conference hosted by Amazon Web Services for the global cloud computing community. The event features keynote announcements, training and certification opportunities, access to technical sessions, a partner expo, after-hours events, and so much more. This year more than 65K people attend this event from world wide. This year event was full of new services and new updates in Machine Learning, Artificial Intelligence, IoT, Security, Analytics, Big Data, Deep Learning etc.
1. Introducing EC2 Image Builder: AWS announces the availability of EC2 Image Builder, a service that makes it easier and faster to build and maintain secure image. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-ec2-image-builder/
2. Amazon Transcribe Medical: Medical Speech Recognition: Amazon Web Services announced the availability of Amazon Transcribe Medical, a new speech recognition capability of Amazon Transcribe, designed to convert clinician and patient speech to text. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-announces-amazon-transcribe-medical-medical-speech-recognition/
3. Amazon EventBridge Schema Registry (In Preview): The Amazon EventBridge schema registry stores event structure or schema — in a shared central location and maps those schemas to code for Java, Python and Typescript so it’s easy to use events as objects in code. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-eventbridge-schema-registry-now-in-preview/
4. AWS DeepComposer: the world’s first machine learning-enabled keyboard for developers. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-deepcomposer/
5. Amazon SageMaker Operators for Kubernetes: Amazon SageMaker Operators for Kubernetes make it easier for developers and data scientists using Kubernetes to train, tune and deploy machine learning (ML) models in Amazon SageMaker. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-operators-for-kubernetes/
6. Amazon Redshift introduces support for materialized views (In preview): Redshift adds support for materialized views in preview. Materialized views provide significantly faster query performance for repeated and predictable analytical workloads such as dashboarding, queries from business intelligence (BI) tools, and ELT (Extract, Load, Transform) data processing. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/11/amazon-redshift-introduces-support-for-materialized-views-preview/
7. AWS IoT SiteWise: Announcing five new features and updated pricing. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-five-new-features-and-updated-pricing-for-aws-iot-sitewise/
8. AWS License Manager: Adds Dedicated Host management capabilities to simplify your ‘Bring your own license’ (BYOL) experience. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-license-manager-adds-dedicated-host-management-capabilities/
9. AWS launches new program to drive migrations for end of support Windows Server applications: Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-launches-program-drive-migration-windows-server/
10. AWS DeepRacer expands: more ways to participate, more things to learn, and more ways to win. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-deepracer-expands-participate-learn-win/
11. Introducing Amazon Braket: Amazon Braket is a fully managed service that makes it easy for scientists, researchers, and developers to build, test, and run quantum computing algorithms. Amazon Braket helps you get started learning about quantum computing by providing a development environment to build quantum algorithms, test them on simulated quantum computers, and run them on your choice of different quantum hardware technologies. Read more @ https://aws.amazon.com/braket/
12. Introducing AWS Identity and Access Management (IAM) Access Analyzer: AWS Identity and Access Management (IAM) Access Analyzer is a new feature that makes it simple for security teams and administrators to check that their policies provide only the intended access to resources. Resource policies allow customers to granularly control who is able to access a specific resource and how they are able to use it across the entire cloud environment. Read more @ https://aws.amazon.com/iam/features/analyze-access/
13. Introducing Access Analyzer for Amazon S3 to review access policies: Access Analyzer for S3 is a new feature that monitors your access policies, ensuring that the policies provide only the intended access to your S3 resources. Access Analyzer for S3 evaluates your bucket access policies and enables you to discover and swiftly remediate buckets with potentially unintended access.Read more @ https://aws.amazon.com/blogs/storage/protect-amazon-s3-buckets-using-access-analyzer-for-s3/
Compute Announcements:
14. Launch of M6g, R6g, C6g Instances (Powered by Arm-based AWS Graviton2 Processors) — Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-new-amazon-ec2-m6g-c6g-and-r6g-instances-powered-by-next-generation-arm-based-aws-graviton2-processors/
15. Amazon ECS Cluster Auto Scaling Now Available — With ECS Cluster Auto Scaling, your ECS clusters running on EC2 can automatically scale as needed to meet the resource demands of all tasks and services in your cluster, including scaling to and from zero. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-cluster-auto-scaling-now-available/
16. Amazon ECS Capacity Providers Now Available — Capacity Providers are a new way to manage compute capacity for containers, that allow the application to define its requirements for how it uses the capacity. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-capacity-providers-now-available/
17. AWS launches Fargate Spot, save up to 70% for fault tolerant applications — AWS Fargate now supports Fargate Spot, a new deployment option on AWS Fargate to run fault-tolerant applications with up to 70% discount compared to Fargate prices. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-launches-fargate-spot-save-up-to-70-for-fault-tolerant-applications/
18. Amazon EC2 Nitro System Based Instances Now Support 36% Faster Amazon EBS-Optimized Instance Performance — The AWS Nitro System is the underlying platform for the latest generation of EC2 instances that enables AWS to innovate faster, further reduce cost for our customers, and deliver added benefits like increased security and new instance types. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ec2-nitro-system-based-instances-now-support-36-faster-amazon-ebs-optimized-instance-performance/
19. Run Serverless Kubernetes Pods Using Amazon EKS and AWS Fargate — You can now use Amazon Elastic Kubernetes Service (EKS) to run Kubernetes pods on AWS Fargate, the serverless compute engine built for containers on AWS. This makes it easier than ever to build and run your Kubernetes applications in the AWS cloud. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/run-serverless-kubernetes-pods-using-amazon-eks-and-aws-fargate/
20. AWS Lambda announces Provisioned Concurrency — a feature that provides customers greater control over performance of their serverless applications at any scale. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-lambda-announces-provisioned-concurrency/
21. Amazon ECS, Amazon EKS, and AWS App Mesh now support AWS Outposts — AWS Outposts, a fully managed service that extends AWS infrastructure, and tools to virtually any datacenter, co-location space, or on-premises facility for a consistent hybrid experience. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-ecs-amazon-eks-aws-app-mesh-now-support-aws-outposts/
22. Introducing AWS Compute Optimizer — a new machine learning-based recommendation service that makes it easy for you to ensure that you are using optimal AWS Compute resources. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-compute-optimizer/
23. Amazon EC2 Inf1 Instances — high performance and the lowest cost machine learning inference in the cloud. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-ec2-inf1-instances-high-performance-and-the-lowest-cost-machine-learning-inference-in-the-cloud/
Machine Learning Announcements:
24. Introducing Contact Lens for Amazon Connect (In Preview) — Contact Lens for Amazon Connect is a set of integrated ML analytics capabilities for Amazon Connect that gives contact centers the ability to understand the sentiment, trends, and compliance of customer conversations to improve customer experience and identify crucial customer feedback. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-contact-lens-for-amazon-connect-preview/
25. Amazon Detective (In Preview) — a new service in Preview that makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-detective/
26. Amazon SageMaker Model Monitor — a new capability of Amazon SageMaker that continuously monitors machine learning (ML) models in production, detects deviations such as data drift that can degrade model performance over time, and alerts you to take remedial actions. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-model-monitor/
27. Amazon SageMaker Notebook (In Preview) — Amazon SageMaker has launched the public preview of a new notebook experience that allows developers to spin up machine learning notebooks in seconds, and enables sharing of notebooks with just a single click. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-the-new-amazon-sagemaker-notebook-experience-now-in-preview/
28. Amazon Fraud Detector (In Preview) — a fully managed service that makes it easy to identify potentially fraudulent online activities such as online payment fraud and the creation of fake accounts. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-fraud-detector-now-in-preview/
29. Amazon SageMaker Debugger — a new capability of Amazon SageMaker that provides complete insights into the training process of machine learning (ML) models by automating the capture and analysis of data from training runs at real time, with no code changes. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-debugger-get-complete-insights-into-the-training-process-of-machine-learning-models/
30. Amazon CodeGuru — new machine learning service for development teams who want to automate code reviews, identify the most expensive lines of code in their applications, and receive intelligent recommendations on how to fix or improve their code. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-announces-amazon-codeguru-for-automated-code-reviews-and-application-performance-recommendations/
31. Amazon SageMaker Autopilot — With this feature, Amazon SageMaker can use your tabular data and the target column you specify to automatically train and tune your model, while providing full visibility into the process. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-autopilot/
32. Amazon SageMaker Adds Processing — a Managed Solution to Run Data Processing and Model Evaluation Workloads Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-sagemaker-adds-processing-managed-solution-data-processing-model-evaluation-workloads/
33. Amazon SageMaker Studio — an integrated development environment (IDE) for machine learning (ML) that lets you easily build, train, debug, deploy and monitor your machine learning models. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-sagemaker-studio-the-first-integrated-development-environment-ide-for-machine-learning/
34. Amazon Kendra — a new highly accurate and easy to use enterprise search service powered by machine learning. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-kendra-reinventing-enterprise-search-with-machine-learning/
35. Amazon Redshift data lake export: Users can now unload the result of an Amazon Redshift query to Amazon S3 data lake as Apache Parquet, an efficient open columnar storage format for analytics. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-redshift-data-lake-export/
36. Amazon RDS on Outposts is available (In Preview): Amazon RDS on Outposts is available in Preview, allowing users to deploy fully managed Amazon RDS database instances in their on-premises environments. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-rds-on-outposts-available-in-preview/
37. Amazon S3 Access Points: makes it simple to manage access at scale for applications using shared data sets on S3. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-s3-access-points-manage-data-access-at-scale-shared-data-sets/
38. Amazon Augmented AI: Amazon A2I makes it easy to build the workflows required for human review of ML predictions. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-augmented-ai/
39. Amazon Rekognition Custom Labels: a new feature of Amazon Rekognition that enables customers to build their own machine learning (ML) based image analysis capabilities to detect unique objects and scenes, relevant to their business need. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-launches-amazon-rekognition-custom-labels-enable-customers-find-objects-scenes-unique/
40. AWS Transit Gateway now supports Inter-Region Peering: AWS Transit Gateway now supports the ability to establish peering connections between Transit Gateways in different AWS Regions. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-transit-gateway-supports-inter-region-peering/
41. Run IP Multicast Workloads in the Cloud Using AWS Transit Gateway: AWS Transit Gateway now supports routing internet protocol (IP) multicast traffic between attached Amazon Virtual Private Cloud (VPC) connections. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/run-ip-multicast-workloads-aws-transit-gateway/
42. Amazon Redshift introduces support for federated querying (In Preview): The in-preview Amazon Redshift Federated Query feature allows users to query and analyze data across operational databases, data warehouses and data lakes. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-redshift-federated-query-preview/
43. Accelerated Site-to-Site VPN for Improved VPN Performance: availability of Accelerated Site-to-Site VPN which uses AWS Global Accelerator to improve the performance of VPN connections by intelligently routing traffic through the AWS Global Network and AWS edge locations. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-accelerated-site-to-site-vpn-for-improved-vpn-performance/
44. AWS Deep Learning AMIs with Updated Framework Support: Tensorflow 1.15 & 2.0, PyTorch 1.3.1, and MXNet 1.6.0-rc0 — The AWS Deep Learning AMIs are available on Ubuntu 18.04, Ubuntu 16.04, Amazon Linux 2, and Amazon Linux with TensorFlow 1.15, Tensorflow 2.0, PyTorch 1.3.1, MXNet 1.6.0-rc0. Also new in this version is support for AWS Neuron, a SDK for running inference using AWS Inferentia chips. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/new-aws-deep-learning-amis-with-updated-framework-support-tensorflow-115-2-pytorch-131-mxnet-160-rc0/
45. AWS Deep Java Library: an open source library to develop Deep Learning models in Java. DJL offers user-friendly APIs to train, test, and deploy Deep Learning models. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-deep-java-library-develop-and-deploy-machine-learning-models-in-java/
46. AWS Wavelength for delivering ultra-low latency applications for 5G: AWS Wavelength embeds AWS compute and storage services at the edge of telecommunications providers’ 5G networks, and provides seamless access to the breadth of AWS services in the region. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-aws-wavelength-delivering-ultra-low-latency-applications-5g/
47. Amazon Redshift introduces RA3 nodes with managed storage: Amazon Redshift RA3 nodes with managed storage are generally available. RA3 nodes enable users to scale and pay for compute and storage independently allowing to size their cluster based only on their compute needs. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-redshift-announces-ra3-nodes-managed-storage/
48. AWS Deep Learning Containers with Tensorflow 1.15, PyTorch 1.3.1, and MXNet 1.6.0-rc0: The AWS Deep Learning Containers are available today with the latest framework versions of Tensorflow 1.15, PyTorch 1.3.1, and MXNet 1.6.0-rc0. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/new-aws-deep-learning-containers-with-tensorflow-1-15-pytorch-1-3-1-and-mxnet-1-6-0-rc0/
49. AWS UltraWarm for Amazon Elasticsearch Service (In Preview): Amazon Elasticsearch Service now offers UltraWarm, a performance-optimized warm storage tier. UltraWarm lets you store and interactively analyze your data using Elasticsearch and Kibana while reducing your cost per GB by up to 90% over existing Amazon Elasticsearch Service hot storage options. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-announces-ultrawarm-preview-for-amazon-elasticsearch-service/
50. Amazon RDS Proxy (In Preview): Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), is now available in preview. RDS Proxy makes applications more scalable, more resilient to database failures, and more secure. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-rds-proxy-available-in-preview/
51. Amazon Managed Apache Cassandra Service (In Preview): Amazon Managed Apache Cassandra Service is a scalable, highly available, and managed Apache Cassandra–compatible database service that enables users to run your Cassandra workloads in the AWS Cloud using the same Cassandra application code, Apache 2.0–licensed drivers, and tools. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-managed-apache-cassandra-service-now-in-preview/
52. AWS Local Zone in Los Angeles: The LA Local Zone is a new type of AWS infrastructure deployment that places compute, storage, and other select services closer to customers, giving developers the ability to run applications that require single-digit millisecond latencies to end-users in LA. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-local-zone-in-los-angeles-ca/
53. AWS Step Functions Express Workflows: Express Workflows are a new type of AWS Step Functions workflow type that cost-effectively orchestrate AWS compute, database, and messaging services at event rates greater than 100,000 events per second. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-step-functions-express-workflows/
54. AWS Security Hub integrates with AWS IAM Access Analyzer: AWS Security Hub now integrates with AWS Identity and Access Management (IAM) Access Analyzer. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-security-hub-integrates-with-the-aws-identity-and-access-management-iam-access-analyzer/
55. Amazon Kinesis Video Streams adds support for real-time two-way media streaming with WebRTC — Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-kinesis-video-streams-adds-support-for-real-time-two-way-media-streaming-with-webrtc/
56. AWS Retail Competency Partners: The AWS Retail Competency saves our customers time and takes the validation process out of the equation as it takes care of the heavy lifting of identifying, vetting, and highlighting industry specialized APN Partners who have proven success and deep technical capabilities when it comes to retail. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-retail-competency-partners/
57. AWS Marketplace announces a simplified fee structure and the expansion of Seller Private Offers. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-marketplace-announces-simplified-fee-structure-expansion-seller-private-offers/
58. AWS Service Ready Program to help customers find tools that integrate with AWS services. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/new-aws-service-ready-program-help-customers-find-tools-integrate-with-aws-services/
59. Amazon Neptune Workbench provides in-console experience to query graph. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-neptune-workbench-provides-in-console-experience-to-query-your-graph/
60. AWS Marketplace makes it easier for you to discover relevant third-party software and data products. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/aws-marketplace-discover-relevant-third-party-software-data-products/
61. APN Immersion Days: AWS Immersion Day workshops provide a customizable AWS experience delivered by AWS Solution Architects and Account Managers to AWS customers. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-new-benefit-apn-consulting-partners-apn-immersion-days/
62. AWS Public Safety & Disaster Response Competency Partners: AWS Customers can quickly identify top-tier APN Consulting Partners who identify, build, and implement technology offerings aimed at improving organizational capacity to prepare, respond, and recover from emergencies and disasters, globally. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-aws-public-safety-disaster-response-competency-partners/
63. Amplify for iOS and Android: The Amplify Framework is an open source project for building cloud-enabled mobile and web applications, consisting of libraries, UI components, and a CLI toolchain. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amplify-for-ios-and-android/
64. Amazon Chime Meetings App for Slack is Now Available. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/announcing-amazon-chime-meetings-app-for-slack/
65. Amazon ECS now supports Active Directory Authentication using Windows Accounts gMSA. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-elastic-container-service-now-supports-active-directory-authentication-using-windows-group-managed-service-accounts/
66. The Amplify DataStore: a persistent storage engine that synchronizes data between apps and the cloud. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amplify-datastore/
67. Amazon API Gateway Offers Faster, Cheaper, Simpler APIs Using HTTP APIs (In Preview) — Amazon API Gateway announced HTTP APIs, enabling customers to quickly build high performance RESTful APIs that are up to 71% cheaper than REST APIs also available from API Gateway. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/amazon-api-gateway-offers-faster-cheaper-simpler-apis-using-http-apis-preview/
68. The EKS Preview of ARM-Processor EC2 Instances is Available in More Regions with Latest Kubernetes Versions. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/eks-preview-arm-processor-ec2-instances-available-more-regions/
69. The Amazon Builders’ Library: The Amazon Builders’ Library is a collection of living articles that take readers under the hood of how Amazon architects, releases and operates the software underpinning Amazon.com and AWS. Read more @ https://aws.amazon.com/about-aws/whats-new/2019/12/introducing-amazon-builders-library/
I am damn excited to use this new services and new updates. Are you?
For any query write to me at piyush.jalan93@gmail.com.
Stay tuned for further updates.
Thanks.
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