Nowadays, it’s common for a web server to be fronted by a global content delivery service, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. Website administrators and developers want to generate insights in order to improve website availability through bot detection and mitigation, by optimizing web content based on the devices and browser used, by reducing perceived latency by caching a popular object closer to its viewer, and so on. In this session, we dive deep into building an end-to-end serverless analytics solution to analyze Amazon CloudFront access logs, both at rest and in transit, using Amazon Athena and Amazon Kinesis Analytics, respectively, and we generate visualization insights using Amazon QuickSight. Join a discussion with AWS solution architects to learn more about the various ways to generate insights to improve the overall perceived experience for your website users.
This document discusses an AWS re:Invent session on best practices for configuring, securing, customizing, and monitoring Amazon CloudFront distributions. The session covers how CloudFront delivers content, cache configurations and examples, customizing delivery with Lambda@Edge, and using real-user monitoring (RUM) for performance metrics. Key topics include setting cache behaviors and headers, optimizing cache hit rates, customizing content with Lambda@Edge triggers, and using RUM to understand real user experiences versus synthetic monitoring.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
MBL204_Architecting Cost-Effective Mobile Backends for Scale, Security, and P...Amazon Web Services
Successful mobile applications rely on a broad spectrum of backend services that support the features and functionality of the front-end mobile application. The success of the mobile application depends on those backend services being built so that they can scale as the application’s audience grows, sometimes explosively when an app takes off. They must also protect the security and privacy of the data used in the application.
In this session, we explore the new Network Load Balancer that was launched as part of the Elastic Load Balancing service, which can load balance any kind of TCP traffic. This offers customers a high-performance, scalable, low-cost load balancer that can handle millions of requests per second with very low latencies, while maintaining high levels of performance. Come and learn more about this new Network Load Balancer.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
This document discusses best practices for migrating a large database from Apache Cassandra to Amazon DynamoDB based on Samsung's experience migrating their cloud services database. It covers the planning, data analysis, data modeling, testing and execution phases of the migration. Key lessons included evaluating the suitability of DynamoDB for the workload, testing with realistic workloads, designing tables to match access patterns, performing an online migration to minimize downtime, and addressing ongoing operational challenges like backup and diluted partitions.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
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 one 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.
This document discusses an AWS re:Invent session on best practices for configuring, securing, customizing, and monitoring Amazon CloudFront distributions. The session covers how CloudFront delivers content, cache configurations and examples, customizing delivery with Lambda@Edge, and using real-user monitoring (RUM) for performance metrics. Key topics include setting cache behaviors and headers, optimizing cache hit rates, customizing content with Lambda@Edge triggers, and using RUM to understand real user experiences versus synthetic monitoring.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
MBL204_Architecting Cost-Effective Mobile Backends for Scale, Security, and P...Amazon Web Services
Successful mobile applications rely on a broad spectrum of backend services that support the features and functionality of the front-end mobile application. The success of the mobile application depends on those backend services being built so that they can scale as the application’s audience grows, sometimes explosively when an app takes off. They must also protect the security and privacy of the data used in the application.
In this session, we explore the new Network Load Balancer that was launched as part of the Elastic Load Balancing service, which can load balance any kind of TCP traffic. This offers customers a high-performance, scalable, low-cost load balancer that can handle millions of requests per second with very low latencies, while maintaining high levels of performance. Come and learn more about this new Network Load Balancer.
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
This document discusses best practices for migrating a large database from Apache Cassandra to Amazon DynamoDB based on Samsung's experience migrating their cloud services database. It covers the planning, data analysis, data modeling, testing and execution phases of the migration. Key lessons included evaluating the suitability of DynamoDB for the workload, testing with realistic workloads, designing tables to match access patterns, performing an online migration to minimize downtime, and addressing ongoing operational challenges like backup and diluted partitions.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
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 one 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.
MBL209_Learn How MicroStrategy on AWS is Helping Vivint Solar Deliver Clean E...Amazon Web Services
"Vivint Solar is a leading full-service residential solar provider in the United States with more than 100,000 solar systems to its credit. Vivint Solar uses MicroStrategy on AWS to keep track of internal processes, including operations, finance, customer support, and human resources. With MicroStrategy on AWS, Vivint Solar could deploy a fully configured MicroStrategy environment in just an hour, giving their IT team more time to focus on other high-value projects. Today, Vivint Solar uses over 25 different AWS tools and services including, AWS Lambda, AWS Step Functions, Amazon SQS, AWS CloudFormation, and AWS CodeDeploy to track and analyze their data. Join us in this session to learn how Vivint Solar is using analytics to transform the way they do business and revolutionize the way people think about renewable energy.
Session sponsored by MicroStrategy"
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
This session provides an overview of IPv6 and covers key aspects of AWS support for the protocol. We discuss Amazon S3 and S3 Transfer Acceleration, Amazon CloudFront and AWS WAF, Amazon Route 53, AWS IoT, Elastic Load Balancing, and the virtual private cloud (VPC) environment of Amazon EC2. The presentation assumes solid knowledge of IPv4 and these AWS services.
ARC306_High Resiliency & Availability Of Online Entertainment Communities Usi...Amazon Web Services
With increase in popularity of online engagement as a means of entertainment, broad use of wide range of communities have become popular. These communities need to be highly available and resilient at scale. Failure of availability could be fatal to the product that are used by the customer. We will share the process you should use to develop your architectural principles that will allow you to reap the benefits of reduced complexity.
Living on the Edge, It’s Safer Than You Think! Building Strong with Amazon Cl...Amazon Web Services
Your application is exposed to a variety of threats from common distributed attacks to sophisticated zero-day vectors. Learn how to architect beyond the region and take advantage of the AWS Edge Network and upgrade your security posture with easy to deploy solutions that scale. At this session you will learn how to I ensure your application will withstand malicious threats and DDoS attacks, what role does architecture play in your security posture, and how professional services and partners like Flux7 can help.
This document summarizes a presentation given at AWS re:Invent 2017 about Cisco's journey from monolithic architecture to microservices. The presentation discusses Cisco's migration of thousands of services to microservices running across over 100 instances. It describes the four pillars of Cisco's approach: automation, cloud services, microservices, and continuous delivery pipelines. Specific microservices patterns for data management are also summarized, including patterns for shared static data, shared mutable data, and distributed transactions.
What's New for AWS Purpose Built, Non-relational Databases - DAT204 - re:Inve...Amazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, will cover what's new in AWS non-relational data services, such as Amazon DynamoDB, Amazon ElastiCache, and Amazon Elastisearch. We will discuss how developers might select different data services to solve different aspects of an application and demo scenarios on which application use cases lend themselves well to which data services. If you’re a developer building massively scaled applications, requiring flexibility, consistent millisecond performance, and trying to understand what non-relational data service you might use, this is a great introductory session.
This document summarizes a presentation given at AWS re:Invent 2017 about replacing tape backups with AWS. The presentation covered the costs and challenges of tape backups, options for backing up to AWS using AWS Storage Gateway or directly to S3/Glacier. It included a demo of replacing tape with Storage Gateway virtual tapes in 10 minutes. It also summarized how Southern Oregon University replaced their tape backups by using Storage Gateway to write backups to S3 and archive to Glacier, reducing infrastructure costs and management overhead.
AWS X-Ray: Debugging Applications at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to reduce time to resolution for errors and performance bottlenecks from days/hours to minutes
- Learn how to detect latency distribution and pinpoint issues to specific service(s)
- Learn how to quantify customer impact
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
The document discusses Amazon Pinpoint, a service that allows users to engage customers, send messages, and analyze user behavior and analytics. It provides an overview of key Pinpoint concepts like user segmentation, targeting channels for delivery, and analytics. It also demonstrates how to set up a Pinpoint project using the AWS CLI and SDKs to import user data, create campaigns for messaging, and extend Pinpoint with custom integrations.
MSC204_Leverage AWS Marketplace to accelerate production ready workloadsAmazon Web Services
In this hands-on lab, learn how to get started on AWS Marketplace to build solutions that help to accelerate production-ready workloads. We dive into how to use it in your development and production environments, and review how to consume software in your AWS accounts. We go through what you can do to operate securely with your AWS Marketplace software, and we show you how to reduce the risk in your projects.
AWS Database and Analytics State of the Union - 2017 - DAT201 - re:Invent 2017Amazon Web Services
In this session, we discuss the evolution of database and analytics services in AWS, the new database and analytics services and features we launched this year, and our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different forms. Storage, management, and analysis of this data require database services that scale and perform in ways not possible before. AWS offers a collection of database and other data services—including Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR—to process, store, manage, and analyze data. In this session, we provide an overview of AWS database and analytics services and discuss how customers are using these services today.
As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against evolving design requirements. This session follows this evolution of a single regional VPC into a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
This document provides a summary of Amazon Web Services (AWS) storage solutions and customer use cases. It discusses AWS storage services like Amazon S3, EBS, EFS, Snowball, and Storage Gateway. It also highlights new storage features for data movement, security, management and analytics. Several case studies describe how customers are using AWS storage for backup/disaster recovery, media workflows, scientific computing, and other workloads.
by Rich Cowper, Solutions Architect Manager & Itzik Paz, Solutions Architect, AWS
Calling all serverless developers! Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! The company's rydesharing network of unicorns has grown to thousands, fulfilling hundreds of thousands of passenger rydes each day. Your mission is to collect, store, process, and analyze data to track the real-time location and health of our unicorns. In this workshop, learn how to build infrastructure to process data streams in real time using Amazon Kinesis. Build serverless applications using Amazon Kinesis Analytics to aggregate and summarize data, and use AWS Lambda to store aggregated data in Amazon DynamoDB. Finally, use Amazon Kinesis Firehose to build a data lake in Amazon S3, and use Amazon Athena to run ad-hoc queries against it. Requirements: laptop, text editor, AWS account, and AWS Command Line Interface (CLI) installed and configured.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
In this session, we seek to address the many real-life conditions that lead to different VPC design scenarios. We break down the reasons why customers choose to deploy a single VPC as opposed to a multi-VPC approach. We also explore the architectures that lead to customers deploying advanced VPC designs, such as shared services VPCs or multi-region transit VPCs. The session explores in detail the tools you need to support these architectures, such as AWS Direct Connect, VPC peering, VPN, AWS Identity and Access Management (IAM), and resource tagging.
How Nextdoor Built a Scalable, Serverless Data Pipeline for Billions of Event...Amazon Web Services
In this session, learn how Nextdoor replaced their home-grown data pipeline based on a topology of Flume nodes with a completely serverless architecture based on Kinesis and Lambda. By making these changes, they improved both the reliability of their data and the delivery times of billions of records of data to their Amazon S3–based data lake and Amazon Redshift cluster. Nextdoor is a private social networking service for neighborhoods.
This is your chance to learn directly from top CTOs and Cloud Architects from some of the most innovative AWS customers. In this lightning round session, we'll have an action-packed hour, jumping straight to the architecture and technical detail for some of the most innovative data storage solutions of 2017. Hear how Insitu collects and analyzes data from drone flights in the field with AWS Snowball Edge. See how iRobot collects and analyzes IoT data from their robotic vacuums, mops, and pool cleaners. Learn how Viber maintains a petabyte-scale data lake on Amazon S3. Understand how Alert Logic scales their massive SaaS cloud security solution on Amazon S3 & Amazon Glacier.
MBL209_Learn How MicroStrategy on AWS is Helping Vivint Solar Deliver Clean E...Amazon Web Services
"Vivint Solar is a leading full-service residential solar provider in the United States with more than 100,000 solar systems to its credit. Vivint Solar uses MicroStrategy on AWS to keep track of internal processes, including operations, finance, customer support, and human resources. With MicroStrategy on AWS, Vivint Solar could deploy a fully configured MicroStrategy environment in just an hour, giving their IT team more time to focus on other high-value projects. Today, Vivint Solar uses over 25 different AWS tools and services including, AWS Lambda, AWS Step Functions, Amazon SQS, AWS CloudFormation, and AWS CodeDeploy to track and analyze their data. Join us in this session to learn how Vivint Solar is using analytics to transform the way they do business and revolutionize the way people think about renewable energy.
Session sponsored by MicroStrategy"
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
This session provides an overview of IPv6 and covers key aspects of AWS support for the protocol. We discuss Amazon S3 and S3 Transfer Acceleration, Amazon CloudFront and AWS WAF, Amazon Route 53, AWS IoT, Elastic Load Balancing, and the virtual private cloud (VPC) environment of Amazon EC2. The presentation assumes solid knowledge of IPv4 and these AWS services.
ARC306_High Resiliency & Availability Of Online Entertainment Communities Usi...Amazon Web Services
With increase in popularity of online engagement as a means of entertainment, broad use of wide range of communities have become popular. These communities need to be highly available and resilient at scale. Failure of availability could be fatal to the product that are used by the customer. We will share the process you should use to develop your architectural principles that will allow you to reap the benefits of reduced complexity.
Living on the Edge, It’s Safer Than You Think! Building Strong with Amazon Cl...Amazon Web Services
Your application is exposed to a variety of threats from common distributed attacks to sophisticated zero-day vectors. Learn how to architect beyond the region and take advantage of the AWS Edge Network and upgrade your security posture with easy to deploy solutions that scale. At this session you will learn how to I ensure your application will withstand malicious threats and DDoS attacks, what role does architecture play in your security posture, and how professional services and partners like Flux7 can help.
This document summarizes a presentation given at AWS re:Invent 2017 about Cisco's journey from monolithic architecture to microservices. The presentation discusses Cisco's migration of thousands of services to microservices running across over 100 instances. It describes the four pillars of Cisco's approach: automation, cloud services, microservices, and continuous delivery pipelines. Specific microservices patterns for data management are also summarized, including patterns for shared static data, shared mutable data, and distributed transactions.
What's New for AWS Purpose Built, Non-relational Databases - DAT204 - re:Inve...Amazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, will cover what's new in AWS non-relational data services, such as Amazon DynamoDB, Amazon ElastiCache, and Amazon Elastisearch. We will discuss how developers might select different data services to solve different aspects of an application and demo scenarios on which application use cases lend themselves well to which data services. If you’re a developer building massively scaled applications, requiring flexibility, consistent millisecond performance, and trying to understand what non-relational data service you might use, this is a great introductory session.
This document summarizes a presentation given at AWS re:Invent 2017 about replacing tape backups with AWS. The presentation covered the costs and challenges of tape backups, options for backing up to AWS using AWS Storage Gateway or directly to S3/Glacier. It included a demo of replacing tape with Storage Gateway virtual tapes in 10 minutes. It also summarized how Southern Oregon University replaced their tape backups by using Storage Gateway to write backups to S3 and archive to Glacier, reducing infrastructure costs and management overhead.
AWS X-Ray: Debugging Applications at Scale - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to reduce time to resolution for errors and performance bottlenecks from days/hours to minutes
- Learn how to detect latency distribution and pinpoint issues to specific service(s)
- Learn how to quantify customer impact
MBL309_User Engagement, Messaging, and Analytics Using Amazon Pinpoint from A...Amazon Web Services
The document discusses Amazon Pinpoint, a service that allows users to engage customers, send messages, and analyze user behavior and analytics. It provides an overview of key Pinpoint concepts like user segmentation, targeting channels for delivery, and analytics. It also demonstrates how to set up a Pinpoint project using the AWS CLI and SDKs to import user data, create campaigns for messaging, and extend Pinpoint with custom integrations.
MSC204_Leverage AWS Marketplace to accelerate production ready workloadsAmazon Web Services
In this hands-on lab, learn how to get started on AWS Marketplace to build solutions that help to accelerate production-ready workloads. We dive into how to use it in your development and production environments, and review how to consume software in your AWS accounts. We go through what you can do to operate securely with your AWS Marketplace software, and we show you how to reduce the risk in your projects.
AWS Database and Analytics State of the Union - 2017 - DAT201 - re:Invent 2017Amazon Web Services
In this session, we discuss the evolution of database and analytics services in AWS, the new database and analytics services and features we launched this year, and our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different forms. Storage, management, and analysis of this data require database services that scale and perform in ways not possible before. AWS offers a collection of database and other data services—including Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR—to process, store, manage, and analyze data. In this session, we provide an overview of AWS database and analytics services and discuss how customers are using these services today.
As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against evolving design requirements. This session follows this evolution of a single regional VPC into a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions.
Progressive Web Apps (PWAs) are the future of distributable mobile apps. Learn what they are, what tools you need, and how to build a mobile PWA. Then follow along and build your own mobile PWA. Understand what AWS offers for mobile app developers, and learn how to build a PWA and distribute it through AWS Mobile Hub.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
This document provides a summary of Amazon Web Services (AWS) storage solutions and customer use cases. It discusses AWS storage services like Amazon S3, EBS, EFS, Snowball, and Storage Gateway. It also highlights new storage features for data movement, security, management and analytics. Several case studies describe how customers are using AWS storage for backup/disaster recovery, media workflows, scientific computing, and other workloads.
by Rich Cowper, Solutions Architect Manager & Itzik Paz, Solutions Architect, AWS
Calling all serverless developers! Wild Rydes (www.wildrydes.com), the world’s leading unicorn transportation startup, needs your help! The company's rydesharing network of unicorns has grown to thousands, fulfilling hundreds of thousands of passenger rydes each day. Your mission is to collect, store, process, and analyze data to track the real-time location and health of our unicorns. In this workshop, learn how to build infrastructure to process data streams in real time using Amazon Kinesis. Build serverless applications using Amazon Kinesis Analytics to aggregate and summarize data, and use AWS Lambda to store aggregated data in Amazon DynamoDB. Finally, use Amazon Kinesis Firehose to build a data lake in Amazon S3, and use Amazon Athena to run ad-hoc queries against it. Requirements: laptop, text editor, AWS account, and AWS Command Line Interface (CLI) installed and configured.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
In this session, we seek to address the many real-life conditions that lead to different VPC design scenarios. We break down the reasons why customers choose to deploy a single VPC as opposed to a multi-VPC approach. We also explore the architectures that lead to customers deploying advanced VPC designs, such as shared services VPCs or multi-region transit VPCs. The session explores in detail the tools you need to support these architectures, such as AWS Direct Connect, VPC peering, VPN, AWS Identity and Access Management (IAM), and resource tagging.
How Nextdoor Built a Scalable, Serverless Data Pipeline for Billions of Event...Amazon Web Services
In this session, learn how Nextdoor replaced their home-grown data pipeline based on a topology of Flume nodes with a completely serverless architecture based on Kinesis and Lambda. By making these changes, they improved both the reliability of their data and the delivery times of billions of records of data to their Amazon S3–based data lake and Amazon Redshift cluster. Nextdoor is a private social networking service for neighborhoods.
This is your chance to learn directly from top CTOs and Cloud Architects from some of the most innovative AWS customers. In this lightning round session, we'll have an action-packed hour, jumping straight to the architecture and technical detail for some of the most innovative data storage solutions of 2017. Hear how Insitu collects and analyzes data from drone flights in the field with AWS Snowball Edge. See how iRobot collects and analyzes IoT data from their robotic vacuums, mops, and pool cleaners. Learn how Viber maintains a petabyte-scale data lake on Amazon S3. Understand how Alert Logic scales their massive SaaS cloud security solution on Amazon S3 & Amazon Glacier.
ABD317_Building Your First Big Data Application on AWS - ABD317Amazon Web Services
This document provides instructions for building a big data application on AWS that collects and analyzes web server logs. It discusses using Amazon Kinesis to collect logs with a Firehose delivery stream into an S3 bucket. It then covers using Kinesis Analytics to process the logs in real-time by writing SQL queries that compute metrics and detect anomalies. Finally, it discusses loading the processed logs into Amazon Redshift for interactive querying and visualizing insights with Amazon QuickSight.
ABD206-Building Visualizations and Dashboards with Amazon QuickSightAmazon Web Services
Just as a picture is worth a thousand words, a visual is worth a thousand data points. A key aspect of our ability to gain insights from our data is to look for patterns, and these patterns are often not evident when we simply look at data in tables. The right visualization will help you gain a deeper understanding in a much quicker timeframe. In this session, we will show you how to quickly and easily visualize your data using Amazon QuickSight. We will show you how you can connect to data sources, generate custom metrics and calculations, create comprehensive business dashboards with various chart types, and setup filters and drill downs to slice and dice the data.
This document discusses serverless architectural patterns including:
1) A web application pattern using AWS Lambda, API Gateway, DynamoDB, S3, and CloudFront
Migrating to 21st Century Analytics: Zopa Story
Speakers:
Shafreen Sayyed, Solution Architect, AWS
Varun Gangoor, Senior Big Data Engineer, Zopa
Data makes the world go around these days, and 21st Century Data Analytics means you can store, process and analyze massive amounts of data, often in real time, whilst making that data consumable across diverse groups in your organization. Many traditional tools lock data away in inflexible silos, making this impossible. This session will look at what is needed in a Financial Services organization to achieve a flexible and scalable data architecture, and we will also hear from Zopa, UK's first peer-to-peer lending company, about how they migrated their data analytics estate to AWS and look at what new insight that has given them.
The document provides an overview of serverless architectural patterns on AWS. It covers serverless key concepts, event processing architecture using AWS Lambda and event sources like S3, Kinesis, etc. It also discusses operation automation architecture using Lambda, CloudWatch Events, and other services. The document reviews web application architecture with API Gateway, Lambda, DynamoDB and data processing architecture using services like Kinesis, S3, Redshift for streaming and batch data.
The document provides information about serverless computing on AWS Lambda. It discusses that serverless applications have no servers to provision or manage, scale automatically based on usage, and have built-in availability and fault tolerance. Various AWS services that can be used as event sources or functions for serverless applications are listed. Common use cases for serverless include web applications, data processing, chatbots, backends, and IT automation.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
AWS Lambda enables you to run code without provisioning or managing servers in one AWS Region. Today, Lambda@Edge provides the same benefits closer to your end users, enabling you to assemble and deliver content on-demand to create low-latency web experiences. Come and join us for examples of how customers can move significant workloads they previously managed server fleets into Lambda for truly serverless website backends.
Building Serverless Websites with Lambda@Edge - CTD309 - re:Invent 2017Amazon Web Services
The document discusses building serverless websites using AWS Lambda@Edge. It provides an overview of Lambda@Edge and how it can be used with Amazon CloudFront to customize content delivery and generate responses at the edge. Specific examples covered include customizing content based on device type or location, A/B testing using origin selection, redirecting unauthenticated users, and aggregating content from multiple sources to generate personalized responses. The document argues that many features that currently require backend servers, such as authentication, personalization, and dynamic content, could potentially be moved to the edge using Lambda@Edge.
ABD201-Big Data Architectural Patterns and Best Practices on AWSAmazon Web Services
In this session, we simplify big data processing as a data bus comprising various stages: collect, store, process, analyze, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
Journey Towards Scaling Your API to 10 Million UsersAdrian Hornsby
The slides from my talk at the NordicAPI summit 2017:
https://nordicapis.com/sessions/journey-towards-scaling-application-10-million-users/
A collection of thoughts and ideas that I experienced during my 10 years working with AWS Cloud.
Manage Infrastructure Securely at Scale and Eliminate Operational Risks - DEV...Amazon Web Services
Managing AWS and hybrid environments securely and safely while having actionable insights is an operational priority and business driver for all customers. Using SSH or RDP sessions could lead to unintended or malicious outcomes with no traceability. Learn to use Amazon EC2 Systems Manager to improve your security posture, automate at scale, and minimize application downtime for both Windows and Linux workloads. Easily author configurations to automate your infrastructure without SSH access, and control the blast radius of configuration changes. Get a cross-account and cross-region view of what’s installed and running on your servers or instances. Learn to use Systems Manager to securely store, manage, and retrieve secrets. You can also run patch compliance checks on the fleet to react to malware and vulnerabilities within minutes, while still providing granular control to users with different privilege levels and full auditability. You will hear from FINRA, the Financial Industry Regulatory Authority, on how they use Systems Manager to safely manage their Enterprise environment.
RET301-Build Single Customer View across Multiple Retail Channels using AWS S...Amazon Web Services
A challenge faced by many retailers is how to form an integrated single view of the customer across multiple retail channels to help you better understand purchasing behavior & patterns. In this session, we will present a solution that merges web analytics data with customer purchase history based on AWS API Gateway, Lambda and S3. Learn how to track customer purchase behaviors across different selling channels to better predict future needs and make relevant, intelligent recommendations.
End-User Computing on AWS with Amazon WorkSpaces and Amazon AppStream 2.0 - E...Amazon Web Services
IT organizations today need to support a modern, flexible, global workforce and ensure their users can be productive from anywhere. Moving desktops and applications to AWS offers improved security, scale, and performance, with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and talk through best practices for moving your end-user computing to AWS. We also dive deep into Amazon AppStream 2.0, and demonstrate some of the newest capabilities, including Microsoft Active Directory integration, single sign-on with SAML 2.0, and new graphics instances.
Building .NET-based Serverless Architectures and Running .NET Core Microservi...Amazon Web Services
In this session, we first look at common approaches to refactoring common legacy .NET applications to microservices and AWS serverless architectures. We also look at modern approaches to .NET-based architectures on AWS. We then elaborate on running .NET Core microservices in Docker containers natively on Linux in AWS while examining the use of AWS SDK and .NET Core platform. We also look at the use of the various AWS services such as Amazon SNS, Amazon SQS, Amazon Kinesis, and Amazon DynamoDB, which provide the backbone of the platform. For example, Experian Consumer Services runs a large ecommerce platform that is now cloud based in the AWS. We look at how they went from monolithic platform to microservices, primarily in .NET Core. With a heavy push to move to Java and open source, we look at the development process, which started in the beta days of .NET Core, and how the direction Microsoft was going allowed them to use existing C# skills while pushing themselves to innovate in AWS. The large, single team of Windows based developers was broken down into several small teams to allow for rapid development into an all Linux environment.
NET203_Using Amazon VPC Flow Logs to Do Predictive Security AnalyticsAmazon Web Services
1) The document describes a workshop on using Amazon VPC flow logs and machine learning to perform predictive security analytics.
2) It outlines collecting network flow logs from Amazon VPC, analyzing them using services like Amazon Kinesis and Elasticsearch, and using Amazon Machine Learning to detect anomalies and threats.
3) The expected outcome is an automated system that can analyze network traffic in real-time, predict and detect threats, alert on anomalies, and protect workloads using AWS WAF based on the machine learning predictions and security rules.
Similar to I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Servers to Do That? - CTD408 - re:Invent 2017 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.