AWS Summit 2013 | India - Web, Mobile and Social Apps on AWS, Kingsley Wood

Amazon Web Services (AWS) can make hosting scalable, highly-available websites and web applications easier and less expensive for the Enterprise Education customers. Join us for an informative webinar on tools AWS provides to elastically scale your architecture to avoid underutilized resources while reducing complexity with templates, partners, and tools to do much of the heavy lifting of creating and running a website for you.

Review of how AWS EC2 storage options have evolved, and making the right selection for your workload. Covering Amazon Elastic Block Storage, EBS and Amazon Elastic File System, EFS.

Using AWS has never been easier or more affordable to solve business problems and uncover new opportunities using data. Now, businesses of all sizes and across all industries can take advantage of big data technologies and easily collect, store, process, analyze, and share their data. Gain a thorough understanding of what AWS offers across the big data lifecycle and learn architectural best practices for applying these technologies to your projects. We will also deep dive into how to use AWS services such as Kinesis, DynamoDB, Redshift, and Quicksight to optimize logging, build real-time applications, and analyze and visualize data at any scale.

This document summarizes AOL's migration from managing their own data centers to using AWS cloud services. It discusses how AOL moved to a DevOps model with a focus on culture, automation, measurement, and sharing. Key points include establishing an agile culture that prioritized teamwork and initiative over tools. Automation replaced manual processes to improve flexibility and speed. Monitoring metrics helped optimize performance without guesswork. Sharing data across teams removed silos and empowered self-sufficiency. Migrating infrastructure to AWS' cloud improved scalability while reducing costs and hardware management burdens.

TIBCO Jaspersoft® for AWS is a business intelligence suite that helps you deliver stunning interactive reports and dashboards inside your app that make it easy for your customers to get answers. Purpose-built for AWS, our reporting and analytics server quickly and easily connects to Amazon Relational Database Service (RDS), Amazon Redshift, and Amazon EMR. It includes ad-hoc reporting, dashboards, data analysis, data visualization, and data blending. In less than 10 minutes, you can be analyzing and reporting on your data. You get a full Cloud BI server starting at less than $1/hour, with no user or data limits and no additional fees. This webinar deck shows how embeddable analytics with TIBCO Jaspersoft for AWS gives you the power to create the experience your end users demand and how to scale and manage that experience across your customer base with AWS.

High performance Redis is popular among developers for its incredible performance, versatility and simplicity. The powerful combination of low cost memory and high performance Redis brings to life new next generation analytic uses - such as simultaneous real time transaction and analytics processing. With Redis Labs' RLEC Flash on AWS SSD instances, you can get fantastic performance at up to 70% lower costs. Join this session to learn how next generation Flash from leading memory provider Intel has made significant strides in performance while retaining its cost advantage to memory. Using a combination of AWS' powerful SSD instances, and Redis Labs' RLEC Flash, you can achieve up to 3M ops/sec at sub millisecond latencies, with a combination of RAM and Flash. The session will also feature customer use cases from a large university, a large customer engagement company and a pioneer of online Flash sales. Session sponsored by Redis Labs.

Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, "Where do I start?" Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.

Kalibrr is a startup that provides an online talent assessment platform. They launched their minimum viable product (MVP) on AWS in March 2013, seeing user growth from 0 to 25,000 in two months. AWS allowed Kalibrr to scale easily and provided reliability with no downtime. Kalibrr uses EC2 instances to host their web servers, SES for email, S3 for content storage, ELB for load balancing, and Route 53 for DNS management. AWS's scalability, ease of use, and reliability helped Kalibrr launch their MVP successfully and support further growth.

In our first Windows webinar, find out about the benefits of migrating your Windows workloads to AWS. During the session, we will explain why AWS makes your Windows applications faster, more reliable and more secure. He will also talk about how to bring your own license (BYOL), how to architect, deploy, and manage your Windows platforms on AWS.

Big Data is everywhere these days. But what is it and how can you use it to fuel your business? Data is as important to organizations as labour and capital, and if organizations can effectively capture, analyze, visualize and apply big data insights to their business goals, they can differentiate themselves from their competitors and outperform them in terms of operational efficiency and the bottom line. Join this session to understand the different AWS Big Data and Analytics services such as Amazon Elastic MapReduce (Hadoop), Amazon Redshift (Data Warehouse) and Amazon Kinesis (Streaming), when to use them and how they work together. Reasons to attend: - Learn how AWS can help you process and make better use of your data with meaningful insights. - Learn about Amazon Elastic MapReduce and Amazon Redshift, fully managed petabyte-scale data warehouse solutions. - Learn about real time data processing with Amazon Kinesis.

This document provides an overview of Amazon Redshift presented by Pavan Pothukuchi and Chris Liu. The agenda includes an introduction to Redshift, its benefits, use cases, and Coursera's experience using Redshift. Some key benefits highlighted are that Redshift is fast, inexpensive, fully managed, secure, and innovates quickly. Example use cases from NTT Docomo and Nasdaq are discussed. Chris Liu then discusses Coursera's experience moving from no data warehouse to using Redshift over three years, including their current ecosystem involving Redshift, other AWS services, and business intelligence applications. Lessons learned around thinking in Redshift, communicating with users, surprises, and reflections are also shared.

The document summarizes announcements from AWS re:Invent 2017, including over 32,000 attendees, 562 sessions, and 28 new services and features announced. Some of the major new services announced include AWS Organizations for centralized account management, Amazon Rekognition for image and facial recognition, Amazon Lex for building conversational interfaces, and Lambda@Edge for running Lambda functions at the edge.

This document discusses scaling applications on Amazon Web Services (AWS) as user counts increase. It begins with an overview of AWS services for applications with a single user, including compute (EC2), storage (EBS), load balancing (ELB), and auto-scaling. For applications with more than one user, it discusses choosing appropriate EC2 instance types and auto-scaling policies. The document then notes that as user counts grow to thousands or millions, it will discuss scaling strategies in further documents. It promotes additional AWS scaling guides and notes that the company presenting is hiring various roles.

Ian Ward, Platform and Security Engineer from Mapbox, discusses how the AWS global edge network helps improve the availability and performance of delivering hundreds of billions of map tiles to hundreds of millions of end users across the globe on mobile devices, in cars, and over the web. In this session, Ian shares insights on how Mapbox manages day-to-day edge operations using Amazon CloudFront logs, dashboards, and ad hoc queries, and how Mapbox has configured CloudFront with dozens of behaviors and origins to customize their content delivery. Mapbox has grown from using a single AWS region to using several regions, so Ian also explains how his team uses Amazon Route 53 and open source tools to simplify complexity around regional failover, and how Mapbox leverages AWS WAF to deter attacks and abuse.

1. The document discusses building web applications on AWS, highlighting its benefits like on-demand access without upfront costs, low costs, global reach, and automatic scaling. 2. It provides examples of companies from startups to enterprises using AWS for a variety of applications beyond just web like mobile, analytics, backup/DR, and even NASA's Mars Rover. 3. The key aspects of designing for AWS are availability, automation, latency, and scale through services like auto-scaling, load balancing, and scalable data stores.

This session, gives an insider view of some the innovations that help make the AWS Cloud unique. He will show examples of AWS networking innovations from the interregional network backbone, through custom routers and networking rotocol stack, all the way down to individual servers. He will show examples from AWS server hardware, storage, and power distribution and then, up the stack, in high scale streaming data processing.

In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.

With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.

With AWS companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100% API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session we'll talk about some key concepts and design patterns for Continuous Deployment and Continuous Integration, two elements of lean development of applications and infrastructures.

This document discusses how to run a website on Amazon Web Services (AWS). It provides an overview of benefits like easy deployment, global scalability, and cost savings. It also describes specific AWS services that can be used, such as pre-built content management system (CMS) templates, CloudFormation for launching sites, and S3 for storage. The document demonstrates launching WordPress and Joomla! sites across Availability Zones and regions. It highlights how AWS services provide fault tolerance and lower variable costs compared to owning infrastructure.

This document summarizes presentations from three companies - ZipList, Zumobi, and Viddy - on using Amazon CloudSearch for search capabilities in their mobile and social applications. ZipList discusses using CloudSearch to enable unified search across global recipes and individual user recipe boxes. Zumobi provides an example of using CloudSearch to power search within a news app. Viddy talks about how CloudSearch allowed them to focus on innovation rather than rebuilding search infrastructure, reducing costs and improving performance.

This document discusses how cloud computing with AWS enables innovation. It highlights how AWS provides scalable infrastructure that allows companies to focus on their core business instead of managing servers. AWS offers a variety of services that help companies get started easily and remove barriers to experimentation. The cloud allows for rapid scaling, real-time analytics, and increased agility that traditional infrastructure cannot match.

1) AWS provides universal cloud security capabilities that are the same for all customers and can be customized for specific business needs. 2) AWS allows customers to have full visibility of their entire cloud infrastructure through monitoring tools. 3) AWS undergoes regular third-party audits to ensure security controls and compliance standards are being met, and makes audit reports and certifications transparent.

The volume, velocity and variety of data has changed drastically in the last decade. Everything generates data today, from your customers on social networks, to the instances running your web applications. The tools to support collecting, storing, organizing, analyzing and sharing of data are all available in a couple of clicks, with Amazon Web Services. Attend this session to learn how Big Data in the cloud can help you easily unlock business opportunities hidden in your data today.

This document provides an overview of Amazon Web Services (AWS). It begins with a high-level introduction to AWS and why organizations are adopting cloud computing on AWS. It then provides a 1,000 foot view of the various compute, storage, database, analytics and application services available in the AWS toolbox. Finally, it addresses some top questions people have when first approaching AWS.

This presentation from our customer, Bejig, details how they have successfully designed and implemented cloud computing projects on Amazon Web Services. David Hampstead, CTO, Bejig

The document summarizes a presentation about HubCare, a company that manages child care services in Australia using AWS cloud services. HubCare currently manages over 800 child care services involving 300,000 children and 650,000 parents through daily transactions with 6 government agencies backed up on AWS cloud. HubCare uses AWS services like auto scaling, load balancing, and CloudFront to efficiently handle traffic spikes and reduce costs. Aggregating child data on AWS cloud enables better decisions by government and services to serve and protect the welfare of Australian children.

The document discusses Channel 4 Television's use of AWS as their platform of choice for hosting web applications. It describes how they began using AWS in 2008 and have since expanded usage across their infrastructure. Key benefits highlighted include agility, scalability, resilience, and cost management compared to physical infrastructure. The document provides guidance on approaches for architecting applications on AWS, including using pre-configured AMIs, designing for security and horizontal scaling, and considering additional AWS services like DynamoDB, Redshift, and S3 Glacier for big data use cases.

The cloud is a highly dynamic environment that changes the way organizations need to think about security, underpinned by the shared security model. Learn how to increase the effectiveness of your security response as you move to the cloud. We’ll discuss how to leverage features in AWS and our security tools to reduce downtime with minimal impact to your security and business operations. Pulling from experiences helping clients move to the cloud, this talk will help provide practical advice you can apply today.

The document provides an overview of Amazon Web Services (AWS) Elastic MapReduce (EMR) capabilities. It discusses how EMR allows customers to process vast amounts of data using Hadoop/Spark clusters in AWS without having to stand up and manage their own hardware. Examples are given of how companies like Netflix, Foursquare, and Anthropic use EMR for big data processing tasks like recommendations, analytics, and machine learning. The document highlights benefits of EMR like ease of use, flexibility, and cost savings compared to on-premises clusters.

In this presentation from the AWS Lab at Cloud Expo Europe 2014 you will find an overview of how Amazon got into Cloud Computing, details of some of the customers that are using Amazon Web Services today and a selection of the services that make up AWS.

Explore the financial considerations of owning and operating a traditional data center versus utilizing cloud infrastructure. The session will consider many cost factors which can be overlooked when comparing models, such as provisioning, procurement, training, support contracts and software licensing. Learn how to further reduce your current costs on AWS and improve your spend predictability. Join this webinar to learn more.

This session walks through approaches for media ingest, storage, processing and delivery scenarios on the AWS cloud. We cover solutions for high speed file transfer, cloud-based transcoding, tiered storage, content processing, and global low latency delivery, as well as the orchestration and management of the entire media workflow with the AWS Data Pipeline service. Attendees can expect to come away with an understanding of best practices for architecting and deploying cloud-based media workflows.

AWS has different pricing models to match your needs. One example is the different instance types available such as On-Demand, Reserved and Spot Instances. Customers can develop cost-saving strategies based upon their usage patterns, models and growth expectations. In some cases, a set of larger instances can be cheaper than multiple small instances. Learn how to size your AWS applications to maximize your use and minimize your spend. Companies such as Pinterest take very active roles to constantly reduce their spend; learn how they do it and develop your own cost-saving approaches.

With AWS you can choose the right database for the right job. Given the myriad of choices, from relational databases to non-relational stores, this session will profile details and examples of some of the choices available to you (MySQL, RDS, Elasticache, Redis, Cassandra, MongoDB and DynamoDB), with details on real world deployments from customers using Amazon RDS, ElastiCache and DynamoDB.

AWS and BMC Cloud Management are the cloud services and management that enable IT organisations to pursue robust, flexible and controlled hybrid IT strategies which augment well-understood on-premises resources with scalable on-demand public cloud services. CloudFX helps execute on this strategy, delivering financial and business benefits of cloud computing that include: faster time-to-market, moving CapEx to OpEx and fortifying IT systems while maintaining tight controls and governance across the entire hybrid environment.

How to look for a service provider with an agile, resilient infrastructure for your online assets. Neil McIntyre, Head of IT, Trinity Mirror

1) The document discusses scaling a web application from basic static hosting to serving millions of users on AWS, including strategies like serverless architectures, auto-scaling, caching, messaging queues, and database sharding. 2) It provides an overview of AWS services that can be used at different stages of scaling, from basic S3 hosting to load balancing, caching with ElastiCache, auto-scaling groups, and serverless architectures using Lambda and API Gateway. 3) The document outlines an example progression of an application from version 0.1 with a single EC2 instance to version 0.7 with decoupled and event-driven architectures, discussing strategies for scaling databases, adding asynchronous processing, and implementing micro

Understand how to architect an infrastructure to handle going from zero to millions of users. From leveraging highly scalable AWS services to making smart decisions on building out your application, you'll learn a number of best practices for scaling your infrastructure in the cloud.

Ian Massingham gave a presentation on scaling applications on AWS from initial launch to over 1 million users. He began by discussing foundational AWS services and database options. He then walked through examples of scaling an application from 1 user to over 500,000 users by leveraging services like EC2, RDS, DynamoDB, ElastiCache, S3, CloudFront, and Auto Scaling. Key strategies included separating components across instances, adding redundancy, implementing caching, and leveraging auto scaling to dynamically scale resources based on demand. Massingham concluded by discussing strategies for scaling beyond 500,000 users such as service-oriented architectures and workload distribution across availability zones.

This document discusses scaling applications on AWS to support millions of users. It begins by introducing AWS global infrastructure services like compute, storage, databases, and networking services. It then discusses starting simply with EC2 instances and expanding horizontally and vertically. The document covers database options on AWS like RDS, DynamoDB, and Redshift. It discusses adding features like auto scaling, load balancing, caching, and content delivery. It proposes a service-oriented architecture with loose coupling. It provides an example reference architecture scaled to support over 1 million users.

This document discusses how various companies scale their services and applications on AWS to handle large user loads and data volumes. It provides examples of Animoto handling over 1 billion files saved per day and Airbnb having over 9 million guests. It then outlines an approach for scaling an application from 1 user to millions by starting with EC2 instances, adding services like S3, DynamoDB, ElastiCache and auto-scaling groups. The document emphasizes using AWS managed services to avoid re-inventing solutions for tasks like queuing, storage and databases.

For people who start to create a cloud service, it’s really important to know how to create a scalable cloud service to fit the growth of the future workloads. In this session, we will introduce how to design a scalable cloud service including AWS services introduction and best practices.

This document provides an overview of a workshop on cloud native, capacity, performance and cost optimization tools and techniques. It begins with introducing the difference between a presentation and workshop. It then discusses introducing attendees, presenting on various cloud native topics like migration paths and operations tools, and benchmarking Cassandra performance at scale across AWS regions. The goal is to explore cloud native techniques while discussing specific problems attendees face.

Slides for a discussion about Cloud Computing organised by the Isle of Man Branch of the BCS in September 2012. These slides introduce Cloud Computing, delve into some detail on Mcirosoft Azue and Amazon Web Services and pose some questions as to suitability, consideration and risks to be discussed. This talk was presented by Arron Clague from Synapse Consulting and Owen Cutajar from Intelligence Ltd

This document provides an overview of scalable architecture strategies on AWS. It discusses: 1. Scaling the infrastructure seamlessly by adding more resources as needed to support growth in users and traffic, without performance drops or practical limits. 2. How Sanlih E-Television used AWS to support its online strategy and estimated 30% savings over other cloud providers due to AWS's stability, competitive pricing, and ability to integrate internet and mobile services. 3. Different strategies for scaling architectures on AWS including separating databases from application servers, using caching, offloading static content to S3, and implementing auto-scaling and load balancing.

This document provides an overview of strategies for building scalable applications on AWS. It recommends starting simply with EC2, RDS, and Route 53, then adding services like S3, DynamoDB, ElastiCache, and CloudFront to optimize performance. Auto Scaling is introduced to automatically scale resources based on demand. The document discusses best practices like separating databases by function, implementing sharding, and leveraging serverless options. The goal is to demonstrate how these techniques can help applications scale to millions of users on AWS.

The document discusses how to build cloud-enabled apps that can scale on AWS. It covers scaling vertically by increasing instance sizes, scaling horizontally by adding more instances, using auto-scaling to dynamically scale based on demand, distributing load with an ELB, scaling databases using read replicas and sharding, and taking advantage of managed database services like RDS and DynamoDB for easier administration. It also discusses decomposing applications into small, stateless components and using infrastructure as code for continuous deployment and agility.

1) The document provides guidance on building a scalable architecture for a startup using AWS services. It outlines an approach from the initial launch through scaling up as the business grows. 2) Key services discussed include EC2, RDS, DynamoDB, S3, CloudFront, ElastiCache, ELB, Auto Scaling and Elastic Beanstalk. The document emphasizes building stateless, scalable components and leveraging managed AWS services. 3) As traffic increases, the architecture scales out individual tiers, adds read replicas, and uses Auto Scaling to dynamically scale the number of instances based on demand. Elastic Beanstalk is also introduced as a way to simplify deploying scalable applications.

The document provides an overview of a serverless workshop that will teach attendees how to build a serverless web application. It outlines the scenario of building a website for the fictional company Wild Rydes. The workshop consists of four labs that will cover hosting a static website on Amazon S3, managing users with Amazon Cognito, creating a serverless backend with AWS Lambda and DynamoDB, and building a RESTful API with API Gateway. Details are provided on the services that will be used, including Lambda, DynamoDB, Cognito, S3, and API Gateway.

Learn about the only solution to instantly provision a full-featured ETL environment running on AWS for less than your Sunday newspaper!

As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.

As serverless architectures become more popular, AWS customers need a framework of patterns to help them deploy their workloads without managing servers or operating systems.

The document discusses best practices for cloud architecture based on lessons learned from Amazon Web Services customers. It provides guidance on designing systems for failure, loose coupling, elasticity, security, leveraging constraints, parallelism, and different storage options. The key lessons are applied to migrating a sample web application architecture to AWS.