AWS re:Invent started yesterday with a lot of exciting and amazing updates, here is a quick recap from Adam Selipsky Keynote.
- AWS mainframe Modernization: AWS Mainframe Modernization is a unique platform that allows you to migrate your on-premises mainframe workloads to a managed runtime environment on AWS. Mainframe Modernization enables two popular migration patterns: replatforming and automated refactoring.
Read more here: https://aws.amazon.com/mainframe-modernization/
- Amazon SageMaker Canvas: AWS announced Amazon SageMaker a Visual, No Code Machine Learning Capability for Business Analysts: AWS SageMaker Canvas is a new visual, no code capability that allows business analysts to build ML models and generate accurate predictions without writing code or requiring ML expertise.
Read more here: https://aws.amazon.com/blogs/aws/announcing-amazon-sagemaker-canvas-a-visual-no-code-machine-learning-capability-for-business-analysts/
- AWS IoT TwinMaker (Preview): AWS IoT TwinMaker, a new service that makes it faster and easier for developers to create and use digital twins of real-world systems to monitor and optimize operations.
Read more here: https://aws.amazon.com/about-aws/whats-new/2021/11/aws-iot-twinmaker-build-digital-twins/
- AWS IoT FleetWise (Preview): AWS IOT FleetWise is a new service for transferring vehicle data to the cloud more efficiently. AWS IoT FleetWise can access the unique data format of a vehicle then structure and standardize the data so automakers don’t have to build custom data collection systems.
Read more here: https://aws.amazon.com/about-aws/whats-new/2021/11/aws-iot-fleetwise-transferring-vehicle-data-cloud/
- Amazon Kinesis Data Streams On-Demand: Stream Data at Scale Without Managing Capacity. Today AWS announced then Amazon Kinesis Data Streams On-demand, a new capacity mode. This capacity mode eliminates capacity provisioning and management for streaming workloads.
Read more here: https://aws.amazon.com/blogs/aws/amazon-kinesis-data-streams-on-demand-stream-data-at-scale-without-managing-capacity/
- Introducing Amazon Redshift Serverless: With Amazon Redshift Serverless, you can run analytics at any scale without having to manage data Warehouse Infrastructure. With Amazon Redshift, you use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.
Read more here: https://aws.amazon.com/blogs/aws/introducing-amazon-redshift-serverless-run-analytics-at-any-scale-without-having-to-manage-infrastructure/
- Four new AWS Serverless analytics options - Redshift, EMR, MSK, and Kinesis Data Streams! Paying for what you use, makes these services far more accessible for everyone!
- AWS Lake Formation: General Availability of Cell-Level Security and Governed Tables with Automatic Compaction. AWS Lake Formation makes it easy to set up a secure data lake in days instead of weeks or months.
Read more here: https://aws.amazon.com/blogs/aws/aws-lake-formation-general-availability-of-cell-level-security-and-governed-tables-with-automatic-compaction/
- AWS Control Tower Account Factory for Terraform: AWS Control Tower makes it easier to set up and manage a secure, multi-account AWS environment. AWS Control Tower uses AWS Organizations to create what is called a landing zone, bringing ongoing account management and governance based on our experience working with thousands of customers.
Read more here: https://aws.amazon.com/blogs/aws/new-aws-control-tower-account-factory-for-terraform/
- AWS Private 5G: Easily deploy, manage, scale a private cellular network. AWS Private 5G is a managed service that makes it easy to deploy, operate, and scale your own private cellular network, with all required hardware and software provided by AWS
Read more here: https://aws.amazon.com/private5g/
- Amazon EC2 C7g Instances Powered by New AWS Graviton3 Processors: AWS announced C7g instances powered by new Graviton3 processors, these instances are going to be a great match for your compute-intensive workloads: HPC, batch processing, electronic design automation (EDA), media encoding, scientific modeling, ad serving, distributed analytics, and CPU-based machine learning inferencing.
Read more here: https://aws.amazon.com/blogs/aws/join-the-preview-amazon-ec2-c7g-instances-powered-by-new-aws-graviton3-processors/
- Amazon CloudWatch Evidently: AWS CloudWatch Evidently is a new Amazon CloudWatch capability that makes it easy for developers to introduce experiments and feature management in their application code. CloudWatch Evidently may be used for two similar but distinct use-cases: implementing dark launches, also known as feature flags, and A/B testing.
Read more here: https://aws.amazon.com/blogs/aws/cloudwatch-evidently/
- Preview – AWS Migration Hub Refactor Spaces Helps to Incrementally Refactor Your Applications: The preview of AWS Migration Hub Refactor Spaces, is a new capability of AWS Migration Hub to let you refactor existing applications into distributed applications, typically based on microservices.
- AWS Outposts: AWS Outposts gives you on-premises compute and storage that is monitored and managed by AWS, and controlled by the same, familiar AWS APIs. AWS Outposts Servers comes in two form factors.
Read more here: https://aws.amazon.com/blogs/aws/new-aws-outposts-servers-in-two-form-factors/
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