This document provides an overview and agenda for a webinar on Amazon Elasticsearch Service (Amazon ES). It introduces Elasticsearch and Amazon ES, including the benefits of using the fully-managed service such as cost efficiency, high availability, security, and ease of deployment. The webinar will cover topics like log analysis, search capabilities, operations management, security, pricing and limits.
AWS AppSync is a fully managed GraphQL service that allows building and running GraphQL APIs on AWS. It supports real-time data, offline programming, and fetching only required data through connections to various data sources like DynamoDB, Lambda, Elasticsearch and HTTP endpoints. It handles authentication, data synchronization, conflict detection and resolution, and provides a clean interface between clients and servers through GraphQL queries.
The document discusses Amazon Route 53 and Route 53 Resolver for hybrid cloud DNS. It explains that Route 53 Resolver allows DNS queries to be resolved between on-premises networks and AWS resources using private and public DNS zones. It provides examples of configuring inbound and outbound endpoints to allow resolution of queries from VPCs and on-premises to internet domains and private domains. The document also mentions additional capabilities like resolving queries for internal domain names in a VPC.
今までデスクトップアプリや Web アプリケーションだった社内システムの開発は、クラウド化と働き方改革という二つのキーワードと共に現場の情シスを悩ませてきました。
今や社内業務アプリにも、場所を問わずアクセスできるようなスマートフォンやタブレット対応のアーキテクチャが求められる時代です。
本セッションでは、そのようなモダンなエンタープライズ向け社内業務アプリを API バックエンドで開発する方法と、その開発現場で戦い続ける情シスの声、そして開発を加速する Azure の様々な API 向けサービスの活用方法を解説します。
This document provides an overview of Elastic Load Balancing (ELB) on AWS. It discusses the different types of ELBs (Application Load Balancer, Network Load Balancer, Classic Load Balancer), their key features and how they can be used to build scalable and highly available systems by distributing traffic across multiple Availability Zones and targets like EC2 instances or ECS containers. It also covers topics like listener configurations, routing, health checks, access logs and integration with other AWS services.
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
AWS AppSync is a fully managed GraphQL service that allows building and running GraphQL APIs on AWS. It supports real-time data, offline programming, and fetching only required data through connections to various data sources like DynamoDB, Lambda, Elasticsearch and HTTP endpoints. It handles authentication, data synchronization, conflict detection and resolution, and provides a clean interface between clients and servers through GraphQL queries.
The document discusses Amazon Route 53 and Route 53 Resolver for hybrid cloud DNS. It explains that Route 53 Resolver allows DNS queries to be resolved between on-premises networks and AWS resources using private and public DNS zones. It provides examples of configuring inbound and outbound endpoints to allow resolution of queries from VPCs and on-premises to internet domains and private domains. The document also mentions additional capabilities like resolving queries for internal domain names in a VPC.
今までデスクトップアプリや Web アプリケーションだった社内システムの開発は、クラウド化と働き方改革という二つのキーワードと共に現場の情シスを悩ませてきました。
今や社内業務アプリにも、場所を問わずアクセスできるようなスマートフォンやタブレット対応のアーキテクチャが求められる時代です。
本セッションでは、そのようなモダンなエンタープライズ向け社内業務アプリを API バックエンドで開発する方法と、その開発現場で戦い続ける情シスの声、そして開発を加速する Azure の様々な API 向けサービスの活用方法を解説します。
This document provides an overview of Elastic Load Balancing (ELB) on AWS. It discusses the different types of ELBs (Application Load Balancer, Network Load Balancer, Classic Load Balancer), their key features and how they can be used to build scalable and highly available systems by distributing traffic across multiple Availability Zones and targets like EC2 instances or ECS containers. It also covers topics like listener configurations, routing, health checks, access logs and integration with other AWS services.
Amazon SageMaker is a fully managed service that enables developers and data scientists to build, train, and deploy machine learning (ML) models quickly. It provides algorithms, notebooks, APIs and scalable infrastructure for building ML models. Some key features of SageMaker include algorithms for common ML tasks, notebooks for developing models, APIs for training and deployment, and scalable infrastructure for training and hosting models. It also integrates with other AWS services like S3, EC2 and VPC.
This document discusses the memory usage of Perl-based web applications running in a multi-process prefork model with MaxRequestsPerChild configuration. It notes that this model ensures memory is reliably freed when processes exit after fulfilling a set number of requests. It allows for temporary large memory allocations or memory leaks to be tolerated. The operator needs to monitor for irregular increases in memory usage and respond accordingly.
La unidad didáctica trata sobre ecuaciones. Los objetivos son reconocer situaciones que se pueden resolver con ecuaciones, traducir enunciados al lenguaje matemático, conocer los elementos de una ecuación y resolver ecuaciones de primer grado y problemas que utilizan ecuaciones. Los contenidos incluyen conceptos básicos de ecuaciones, reglas para resolver ecuaciones sin y con denominadores, y aplicaciones a problemas. La metodología implica el uso de programas informáticos y páginas web para ejercicios de diferentes niveles
AWS(Amazon Web Services)には30以上のサービスがあり、その組み合わせによって成り立っています。うまく使いこなすことで、「単なるサーバ」とは違った開発、運用が実現されます。新サービスや機能拡張により、その選択肢は広がりますが、使いこなしが大切になってきます。今回は、特に予期できる、あるいは予期できないイベントに対応できる開発からサービス運用のための様々なAWSサービスを特に新サービスに力をいれて紹介します。
[要約] Building a Real-Time Bidding Platform on AWS #AWSAdTechJPEiji Shinohara
2016年3月に公開されたWhitepaper『Building a Real-Time Bidding Platform on AWS』の要約です。
https://d0.awsstatic.com/whitepapers/Building_a_Real_Time_Bidding_Platform_on_AWS_v1_Final.pdf
This document discusses various technologies used in the DevelopersIO CAFE platform, including AWS services like Lambda, API Gateway, DynamoDB, Step Functions, and Auth0 for authentication. It provides examples of building APIs with Lambda and API Gateway, using layers to share code between functions, and storing data in DynamoDB. The platform utilizes serverless architecture with continuous delivery via CodePipeline and integrates SaaS services through APIs.
The document appears to be a collection of image URLs and code snippets without much context. It includes 10 Flickr image URLs, some text about different types of testing, and two short code snippets - one containing comma separated numbers and letters, and the other showing a symbol and number. No overall purpose or meaning is clear from the limited information provided.
The document discusses test-driven development (TDD) and common smells or issues that can arise when practicing TDD. It notes that TDD aims to increase code quality by writing tests before code, but that tests can become overly complex or fail to adequately test the code. The document suggests some heuristics to address these potential problems with TDD, such as keeping tests simple, focusing tests on interfaces, and refactoring tests along with code.