WordPress RESTful API & Amazon API Gateway (English version)崇之 清水
This document summarizes a presentation about using Amazon API Gateway and the WordPress REST API. The presentation covered what a REST API is, displaying external data on WordPress using APIs, why to use Amazon API Gateway to build serverless REST APIs, and patterns for using the WordPress REST API. Case studies were presented on creating an API to retrieve pet data and display it on WordPress, fetching data with JavaScript and handling CORS, creating a custom API that aggregates other APIs, and using API Gateway caching and throttling to control load on the WordPress REST API. The document concluded that combining WordPress and REST APIs can reduce development time and costs while improving availability.
The document is comprised entirely of copyright notices from Amazon Web Services and does not contain any other substantive information. It references Amazon Web Services, Elastic Beanstalk, CloudWatch Synthetics, and the migration of an application to EC2 instances powered by AWS Graviton2 processors. However, no details are provided about these topics within the document.
The document appears to be a presentation from Amazon Web Services about serverless application development on AWS. It discusses various AWS services for building serverless applications like Lambda, API Gateway, DynamoDB, S3, and Step Functions. It provides examples of creating serverless APIs with Lambda and API Gateway and deploying serverless applications using the Serverless Application Model.
RESTful API を Chalice で紐解く 〜 Python Serverless Microframework for AWS 〜崇之 清水
The document describes how to build serverless applications using the Chalice framework. It shows examples of defining routes, path parameters, HTTP methods, and response handling. It also demonstrates configuring features like CORS, API keys, and authorizers. The document explains how Chalice works behind the scenes by examining its core classes and how it matches incoming requests to route functions. It provides links to additional resources about serverless applications on AWS.
The document contains numerous copyright notices for Amazon Web Services spanning multiple years. It includes various technical terms and acronyms related to AWS services and computing. There are also diagrams and illustrations related to distributed systems, databases, machine learning, and the Internet of Things. However, the document does not appear to have a clear purpose or overarching topic and seems to be a collection of disjointed sections.
The document discusses a Serverless Meetup in Osaka on October 18, 2017 presented by Takayuki Shimizu, a Solutions Architect at Amazon Web Services Japan K.K. It includes copyright notices for Amazon Web Services from 2017 and mentions the topics will involve serverless technologies on AWS.
The document appears to be a presentation from Amazon Web Services (AWS) on serverless computing. It discusses AWS services for computing, storage, databases, APIs, messaging and queues. It provides examples of building serverless applications using AWS Lambda, API Gateway, DynamoDB and other services. Code examples are given for deploying a serverless express application on AWS. The presentation encourages developers to try building serverless applications using AWS services.
- This document discusses serverless architectures using AWS Lambda and provides links to presentations about building serverless applications on AWS from AWS Summit Tokyo 2017.
- It describes how AWS Lambda allows developers to run code without provisioning or managing servers, and lists AWS services that can be used to trigger Lambda functions such as API Gateway, DynamoDB, and S3.
- The document also shares links to GitHub repositories of serverless sample applications and frameworks like AWS Serverless Application Model (SAM).
This document discusses various Amazon Web Services (AWS) products for data science and analytics workflows. It highlights how AWS services like Amazon Redshift, Amazon Kinesis, Amazon EMR, and others can be used together for extracting, transforming, loading (ETL) data, performing analytics, and building data science models at scale. Specific applications and customers like Hearst Publishing that leverage these AWS services for clickstream analytics are also mentioned. The document aims to provide an overview of the AWS big data and analytics portfolio.
1. The document discusses Amazon's artificial intelligence services including Amazon Rekognition, Amazon Polly, and Amazon Lex.
2. It provides an overview of how Alexa works using automatic speech recognition to understand voice commands and natural language understanding to carry out requests.
3. Tips are provided for using Alexa including examples of voice commands to play music or get weather updates.
This document provides an overview of Amazon Web Services for image and speech recognition, including Amazon Rekognition, Amazon Polly, Amazon Lex, and how they integrate with Amazon S3 storage. Key features highlighted are facial analysis, text-to-speech, conversational interfaces, and building custom machine learning models.
Amazon AI のスゴいデモ(仮) - Serverless Meetup Osaka崇之 清水
This document summarizes a serverless meetup in Osaka on January 27, 2017 about Amazon Web Services. It discusses how Amazon Go works using computer vision and deep learning for checkout-free shopping. It also describes several Amazon AI services including Amazon Rekognition for image and video analysis, Amazon Polly for text-to-speech, and Amazon Lex for conversational interfaces. Examples are given of combining these services with AWS Lambda for serverless applications.
Amazon Pinpoint - re:Invent Serverless Follow Up - 20161207崇之 清水
Amazon Pinpoint is a new service that allows users to send personalized messages to customers across multiple messaging channels. Pinpoint provides tools to segment audiences, send push notifications, emails and SMS messages. It also collects analytics on message delivery and opens to help optimize future campaigns.
This document provides an overview of Amazon Web Services (AWS) and how PHP developers can use AWS services. It discusses:
- Popular AWS services like Amazon S3, DynamoDB, SQS, SNS, and how they can be used.
- Using the AWS SDK for PHP to interact with AWS services like S3 programmatically from PHP code using Composer, making API calls, and handling responses.
- Features of the AWS SDK for PHP version 3 like asynchronous programming with promises, command pools for parallel requests, and waiters to wait for resources to be ready.
- Examples of using the SDK to make API calls to S3 and other services, handle promises and errors, and
WordPress RESTful API & Amazon API Gateway - WordCamp Kansai 2016崇之 清水
This document summarizes a presentation given at WordCamp Kansai 2016 about building REST APIs and microservices with Amazon API Gateway and WordPress. The presentation covered:
1. Using REST APIs with WordPress
2. Integrating WordPress with Amazon API Gateway
3. Examples of building WordPress APIs to access third party services and custom backends
The presentation provided examples of using API Gateway as a proxy for the WordPress REST API, enabling CORS, and building microservices architectures with API Gateway, Lambda, and other AWS services behind the WordPress frontend. Attendees were encouraged to explore building scalable WordPress sites and applications with REST APIs and serverless architectures on AWS.
This document describes Amazon Web Services (AWS) API Gateway and how it can be used to create, publish, maintain, monitor, and secure APIs at any scale. API Gateway sits between the internet and AWS services such as Lambda, EC2, DynamoDB, and supports many features including caching, authorization, throttling, monitoring, and transformations. It allows defining RESTful APIs and WebSocket APIs that make AWS services programmatically accessible to developers building mobile, web, and IoT applications.
This document discusses database replication using Amazon Aurora. It covers setting up multi-master replication across Availability Zones, using reader and writer instances for high availability, and replicating Aurora databases to external MySQL or MariaDB databases. It also briefly mentions new features in recent Aurora releases.
IoT Devices Compliant with JC-STAR Using Linux as a Container OSTomohiro Saneyoshi
Security requirements for IoT devices are becoming more defined, as seen with the EU Cyber Resilience Act and Japan’s JC-STAR.
It's common for IoT devices to run Linux as their operating system. However, adopting general-purpose Linux distributions like Ubuntu or Debian, or Yocto-based Linux, presents certain difficulties. This article outlines those difficulties.
It also, it highlights the security benefits of using a Linux-based container OS and explains how to adopt it with JC-STAR, using the "Armadillo Base OS" as an example.
Feb.25.2025@JAWS-UG IoT