This document provides information about Amazon GameLift, AWS's managed game hosting service. It discusses Amazon GameLift's managed servers and FlexMatch matchmaking features. The webinar also introduces new Realtime Servers, which allow building multiplayer games with Node.js scripts instead of custom game servers. Overall, the document outlines Amazon GameLift's global infrastructure and tools to help developers scale online games.
This document discusses building an image classification model using Amazon SageMaker and deploying it via an API Gateway and Lambda function. Key steps include:
1. Developing a Python Lambda function to preprocess images from API requests and call a SageMaker endpoint for predictions.
2. Creating an IAM role for the Lambda function to access SageMaker.
3. Building and deploying the SageMaker model.
4. Configuring API Gateway to invoke the Lambda function via a REST API, with the Lambda function returning classification results.
This allows building and deploying a machine learning model on SageMaker and serving predictions through a serverless API for image classification.
Azure supports both Linux and Windows containers that allow for efficient isolation and resource sharing. It provides container services and tools including Docker images, Kubernetes, Mesos and Docker support to deploy and manage containers at cloud scale. Azure's container infrastructure can be used to build applications with microservices architecture and provide agility and cost control.
JOSUG2014 OpenStack 4th birthday party in Japan; the way of OpenStack API DragonNaoto Gohko
JOSUG2014 OpenStack 4th birthday party in Japan
the way of OpenStack API Dragon.
we provide OpenStack API on "GMO Apps Cloud" known to be capable of providing efficient social Games.