Game Tech videos and blogs
Announcements, Updates, and Launches
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Use AWS Fault Injection Service to demonstrate multi-region and multi-AZ application resilience
AWS Fault Injection Service (FIS) helps you to put chaos engineering into practice at scale. Today we are launching new scenarios that will let you demonstrate that your applications perform as...
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Zonal autoshift – Automatically shift your traffic away from Availability Zones when we detect potential issues
Today we’re launching zonal autoshift, a new capability of Amazon Route 53 Application Recovery Controller that you can enable to automatically and safely shift your workload’s traffic away from...
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IDE extension for AWS Application Composer enhances visual modern applications development with AI-generated IaC
Today, I’m happy to share the integrated development environment (IDE) extension for AWS Application Composer. Now you can use AWS Application Composer directly in your IDE to visually build...
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Amazon SageMaker Studio adds web-based interface, Code Editor, flexible workspaces, and streamlines user onboarding
Today, we are announcing an improved Amazon SageMaker Studio experience! The new SageMaker Studio web-based interface loads faster and provides consistent access to your preferred integrated...
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Three new capabilities for Amazon Inspector broaden the realm of vulnerability scanning for workloads
Today, Amazon Inspector adds three new capabilities to increase the realm of possibilities when scanning your workloads for software vulnerabilities: Amazon Inspector introduces a new set of open...
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Amazon CloudWatch Application Signals for automatic instrumentation of your applications (preview)
One of the challenges with distributed systems is that they are made up of many interdependent services, which add a degree of complexity when you are trying to monitor their performance....
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New myApplications in the AWS Management Console simplifies managing your application resources
Today, we are announcing the general availability of myApplications supporting application operations, a new set of capabilities that help you get started with your applications on AWS, operate...
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Easily deploy SaaS products with new Quick Launch in AWS Marketplace
Today we are excited to announce the general availability of SaaS Quick Launch, a new feature in AWS Marketplace that makes it easy and secure to deploy SaaS products. Before SaaS Quick Launch,...
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Package and deploy models faster with new tools and guided workflows in Amazon SageMaker
I’m happy to share that Amazon SageMaker now comes with an improved model deployment experience to help you deploy traditional machine learning (ML) models and foundation models (FMs) faster. As a...
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Use natural language to explore and prepare data with a new capability of Amazon SageMaker Canvas
Today, I’m happy to introduce the ability to use natural language instructions in Amazon SageMaker Canvas to explore, visualize, and transform data for machine learning (ML). SageMaker Canvas now...
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Amazon SageMaker adds new inference capabilities to help reduce foundation model deployment costs and latency
Today, we are announcing new Amazon SageMaker inference capabilities that can help you optimize deployment costs and reduce latency. With the new inference capabilities, you can deploy one or more...
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Leverage foundation models for business analysis at scale with Amazon SageMaker Canvas
Today, I’m excited to introduce a new capability in Amazon SageMaker Canvas to use foundation models (FMs) from Amazon Bedrock and Amazon SageMaker Jumpstart through a no-code experience. This new...
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Introducing highly durable Amazon OpenSearch Service clusters with 30% price/performance improvement
You can use the new OR1 instances to create Amazon OpenSearch Service clusters that use Amazon Simple Storage Service (Amazon S3) for primary storage. You can ingest, store, index, and access just...
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Amazon SageMaker Clarify makes it easier to evaluate and select foundation models (preview)
I’m happy to share that Amazon SageMaker Clarify now supports foundation model (FM) evaluation (preview). As a data scientist or machine learning (ML) engineer, you can now use SageMaker Clarify...
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Evaluate, compare, and select the best foundation models for your use case in Amazon Bedrock (preview)
I’m happy to share that you can now evaluate, compare, and select the best foundation models (FMs) for your use case in Amazon Bedrock. Model Evaluation on Amazon Bedrock is available today in...
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Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity
Amazon Redshift puts artificial intelligence (AI) at your service to optimize efficiencies and make you more productive with two new capabilities that we are launching in preview today. First,...
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AWS Clean Rooms Differential Privacy enhances privacy protection of your users’ data (preview)
Starting today, you can use AWS Clean Rooms Differential Privacy (preview) to help protect the privacy of your users with mathematically backed and intuitive controls in a few steps. As a fully...
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AWS Clean Rooms ML helps customers and partners apply ML models without sharing raw data (preview)
Today, we’re introducing AWS Clean Rooms ML (preview), a new capability of AWS Clean Rooms that helps you and your partners apply machine learning (ML) models on your collective data without...
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Announcing Amazon OpenSearch Service zero-ETL integration with Amazon S3 (preview)
Today we are announcing a preview of Amazon OpenSearch Service zero-ETL integration with Amazon S3, a new way to query operational logs in Amazon S3 and S3-based data lakes without needing to...
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Analyze large amounts of graph data to get insights and find trends with Amazon Neptune Analytics
I am happy to announce the general availability of Amazon Neptune Analytics, a new analytics database engine that makes it faster for data scientists and application developers to quickly analyze...
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