World's best AWS Cloud Log Analytics & Management Tool
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This document introduces Cloudlytics, a service that provides analytics and reporting for Amazon Web Services (AWS) cloud logs. It allows users to analyze logs from CloudFront, S3 storage, Elastic Load Balancing, and more to gain insights into end user behavior and optimize AWS costs. The summaries are drag-and-drop customizable and include visual reports on content consumption patterns, popular content, geographic usage, and cost analysis. Cloudlytics claims to be easier, faster, and more cost-effective than alternatives for AWS log analytics.
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Big Data and Analytics on AWS
This document discusses a presentation about big data and analytics on AWS. It describes what big data is, provides examples of AWS services for ingesting, storing, processing, analyzing and visualizing big data. It also provides examples of industries using AWS for data analysis and discusses Amazon Kinesis for real-time processing of streaming data. Finally, it discusses putting the various AWS services together in an end-to-end big data workflow.
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Amazon Web Services (AWS) has over 1 million active customers as of 2014. AWS adds enough new server capacity daily to support Amazon's global infrastructure when it was a $7 billion annual revenue company. AWS has 11 regions, 54 edge locations, and a variety of compute, storage, database, deployment/management, security/administration, and enterprise application services. Media companies are adopting AWS for its scalable infrastructure and services that support ingestion and storage of large amounts of media files, scalable compute for transcoding workflows, content delivery with CloudFront, and analytics for monetizing and managing content and customer data.
Building Serverless Web Applications - DevDay Austin 2017
This document provides an overview of building serverless web applications on AWS. It discusses AWS Lambda and its benefits over traditional server-based computing. Common serverless use cases and event sources that can trigger Lambda functions are described. Design patterns for building serverless applications including monolithic and microservices architectures are covered. Amazon API Gateway and AWS Serverless Application Model (SAM) are introduced as tools for developing serverless applications.
Building Serverless Web Applications - DevDay Los Angeles 2017
The document provides information about building serverless web applications using AWS Lambda and other AWS services. It begins with an overview of serverless computing using AWS Lambda and how it avoids the need to provision and manage servers. It then discusses various AWS compute offerings and when to use EC2, ECS, or Lambda. The rest of the document discusses serverless design patterns, demonstrates building a serverless web application using services like API Gateway and DynamoDB, and how to define and manage serverless applications using the AWS Serverless Application Model (SAM).
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SMC301 The State of Serverless Computing
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AWS Cloud Kata | Bangkok - Getting to Scale on AWS
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National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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National Security Agency - NSA mobile device best practices
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