Selipsky announced the new AWS IoT TwinMaker for a faster and easier way of creating and using digital twins of real-world systems to monitor and optimise operations. This greatly reduces the dependency on engineering teams and ML experts. However, Canvas is a new visual, no code capability that allows users to build ML models and generate predictions without having to write any line of code. Like Amazon SageMaker, Canvas uses the same technology to automatically clean and combine data, create hundreds of models, select the best performing among them, generate new individual or batch predictions. SageMaker CanvasĬalling it AWS’ attempt at the democratisation of machine learning, AWS CEO Selipsky announced Amazon SageMaker Canvas. This is based on the identity of who is performing the action. Granular Access Control with Row and Cell-Level Security: Users can now control access to specific rows and columns in query results and within AWS Glue ETL jobs. Storage Optimisation with Automatic Compaction: When this option is enabled, Lake Formation compacts small S3 objects in governed tables into larger objects to optimise access via analytics engines like Amazon Athena. These tables support ACID transactions to let users concurrently insert and delete data across multiple governed tables. Governed Tables: These are a new type of Amazon S3 tables for simple and reliable ingestion and management of data at any scale. ![]() In his keynote speech, Selipsky announced the general availability of new features to simplify loading of data, optimising storage, and managing access to a data lake: Lake FormationĪWS Lake Formation makes it easy to set up secure data lakes in a matter of days, which usually takes weeks or months. The transformed mainframe workloads can be deployed to the service’s managed runtime environment post the testing phase. This service can be used during all the migration phases, including assessment, discovery, deployment, building, and testing phases. It enables re-platforming (Micro Focus) and automated refactoring (BluAge).ĪWS Mainframe Modernization Framework provides an integrated platform that combines appropriate toolchains for each pattern. The main goal of this framework is to mitigate risks and accelerate mainframe to cloud projects. It allows customers to plan, migrate, modernise, and run their on-premise mainframe workloads to a managed execution environment on AWS. AWS Mainframe Modernisation FrameworkĪmazon launched the AWS Mainframe Modernisation service, which is a platform for mainframe migration and modernisation. Selipsky also announced the new C7g instance type and Trn1 instance for EC2. Other significant features include that Graviton3 performs two times faster than floating-point performance for scientific workload, two times faster for cryptographic workloads, three times faster for machine learning workloads. As per Selipsky, Graviton3 will deliver 25 per cent better performance than its predecessor while using 60 per cent less energy. ![]() The latest version, too, has seemingly lived up to the hype. The Graviton Arm server chip was announced for the first time three years ago, and over time, it has proved to be a game-changer for server customers. Graviton3ĪWS announced the new arm-based Graviton-based processor called Graviton3. During his speech, Selipsky made some high profile announcements we list them here.
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