本ドキュメントは「AWS利用開始直後のお客様」に向けて、AWS上にシステムを設計、構築、運用する際のベストプラクティス集”AWS Well-Architected Framework”から、特に優先度が高い -AWSを利用開始時におさえておきたい- 項目を抜粋したものです。
If you’re familiar with relational databases, designing your app to use a fully-managed NoSQL database service like Amazon DynamoDB may be new to you. In this webinar, we’ll walk you through common NoSQL design patterns for a variety of applications to help you learn how to design a schema, store, and retrieve data with DynamoDB. We will discuss best practices with DynamoDB to develop IoT, AdTech,
Under the AWS shared responsibility model, AWS provides a secure global infrastructure, including computing, storage, networking and database services, as well as a range of high level services. AWS provides a range of security services and features that AWS customers can use to secure their content and meet their own specific business requirements for security. In this presentation, we focus on a
Working with fleets of ''Internet of Things'' (IoT) devices brings about distinct challenges. In this session, we will explore four of these challenges: telemetry, commands, device devops, and audit and authorization, and how they transform when deploying hundreds-of-thousands of resource-constrained devices. We'll explore high-level architectural patterns that customers use to meet these challeng
"This is a technical architect's case study of how Loggly has employed the latest social-media-scale technologies as the backbone ingestion processing for our multi-tenant, geo-distributed, and real-time log management system. This presentation describes design details of how we built a second-generation system fully leveraging AWS services including Amazon Route 53 DNS with heartbeat and latency-
Amazon Kinesis: Real-time Streaming Big data Processing Applications (BDT311) | AWS re:Invent 2013 "This presentation will introduce Kinesis, the new AWS service for real-time streaming big data ingestion and processing. We’ll provide an overview of the key scenarios and business use cases suitable for real-time processing, and how Kinesis can help customers shift from a traditional batch-oriented
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