Did you miss Andy Jassy’s AWS re:Invent 2020 Keynote? If so, you missed a lot. Just so you don’t experience FOMO, here are some links to new product announcements. Enjoy.
Amazon EC2 Mac Instances – Utilizing Mac mini hardware and AWS Nitro System, you can build, test, package, and sign Xcode applications for the Apple platform using Amazon EC2 Mac instances (and HERE’s a fun video).
Habana Gaudi EC2 Instances – Ideal for deep learning training workloads of applications, delivering up to 40% better price performance than current GPU-based EC2 instances.
AWS Trainium – High performance, cost-efficient, custom ML chip designed by AWS for training ML models in the cloud, optimized for deep learning training workloads.
Graviton2 – Processors custom built by Amazon Web Services. Graviton2 processors provide increased performance and capabilities and power Amazon EC2 T4g, M6g, C6g, and R6g instances. Graviton2 processors deliver 7x more performance, 4x more compute cores, 5x faster memory, and 2x larger caches, as well as 40% better price performance.
Amazon ECS Anywhere – Deploy native Amazon ECS tasks—traditional AWS managed infrastructure, as well as customer-managed infrastructure—in any environment without compromising value of a fully-managed, easy to use control plane.
New Lambda Billing – Billing increments will now be rounded to the nearest millisecond (from 100ms) with no minimum.
AWS Proton – Automate and manage infrastructure provisioning and code deployments for serverless and container-based applications with this new service.
Increased Lambda Memory – Memory more than tripled to 10 GB to a Lambda function; access to up to 6 vCPUs in each execution environment.
Added Container Image Support – Package and deploy Lambda functions as container images of up to 10 GB.
gp3 Volume – New type of SSD EBS volume that lets you provision performance independent of storage capacity and offers a 20% lower price than existing gp2 volume types, allowing customers to prioritize performance without paying for unnecessary storage volumes.
io2 Block Express – A modular storage system for increased performance and scalability—high performance for SAP HANA, Microsoft SQL Server, Oracle, and Apache Cassandra workloads, plus mission-critical transaction processing applications.
Babelfish for Aurora PostgreSql – Adds an endpoint to Aurora PostgreSQL that understands the SQL Server wire protocol TDS and T-SQL commands. Since PostgreSQL understands database requests from applications written for Microsoft SQL Server, there’s no need to change libraries, schema, or SQL statements.
AWS Glue Elastic Views – Use familiar SQL to create virtual tables quickly from different data sources. AWS Glue Elastic Views continuously monitors for changes to data in your source data stores and provides updates to the materialized views in your target data stores automatically, ensuring data accessed through the materialized view is always up to date.
MACHINE LEARNING & ARTIFICIAL INTELLIGENCE
Amazon SageMaker Data Wrangler – Data aggregation and preparation for ML made easier and faster. Choose data from various sources and import it with a click. Convert data into your desired format without writing code. Gain insights with visualizations—histograms, scatter plots, box and whisker plots, line plots, bar charts, etc.
Amazon SageMaker Feature Store – Store and access features to name, organize, and reuse them easily. Unify features for training and real-time inference without writing code.
Amazon SageMaker Pipelines – CI/CD for Machine Learning. Create, automate, and manage Machine Learning workflows at scale.
Amazon DevOps Guru – Fully managed Ops service that automatically detects operational issues and recommends fixes. Alerts developers and operators to problems to quickly understand the scope of the problem and possible causes.
Amazon QuickSight Q – Ask questions about your data using natural language and get accurate answers in seconds.
Amazon Monitron – End-to-end system for monitoring equipment. Uses machine learning to detect anomalous behavior in industrial equipment, empowering predictive maintenance and reducing unexpected interruptions.
Amazon Lookout for Equipment – Detect unusual equipment behavior using data from sensors (sound, vibration, temperature, etc.), so you can act before it’s too late and prevent machine failures and unplanned downtime.
AWS Panorama Appliance – Bring computer vision to on-premises cameras and make automated predictions. Automate tasks that normally require human inspection to increase visibility and prevent issues.
Amazon Connect Wisdom – Reduce the time agents spend searching for answers using ML repos of questions and phrases customers ask.
Amazon Connect Voice ID – Provides real-time caller authentication by analyzing speech attributes and creating a digital voiceprint.
Contact Lens for Amazon Connect – Real-time sentiment analysis used to identify customer issues, enabling proactive assistance and improving customer satisfaction.
Amazon Connect Customer Profiles – Automatically consolidates customer information to a unified customer profile, delivered to agents at the beginning of the customer interaction for a more personalized interaction and higher satisfaction level.
Amazon Connect Tasks – Improve productivity by prioritizing, assigning, and tracking all contact center agent tasks, and quickly resolve customer issues
AWS Outposts – Offers AWS infrastructure, AWS services, APIs, and tools to almost any datacenter, co-location space, or on-premises facility—smaller sizes available for locations with limited space (1U and 2U).
AWS Local Zones – In addition to local zones in Los Angeles, 3 were added today (Boston, Houston, and Miami) and 12 more will be added throughout 2021.
AWS Wavelength – Infrastructure for mobile edge computing. Currently available in 8 US cities and coming to Tokyo, Daejeon, and London soon.