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.
CMP316_Hedge Your Own Funds Run Monte Carlo Simulations on EC2 Spot FleetAmazon Web Services
Monte Carlo simulation is a method of generating thousands of series representing potential outcomes of possible returns. This includes drawdowns, Sharpe ratios, standard deviations, and other statistics of a specific investment or portfolio. In this session, learn how to run Monte Carlo simulations using Amazon EC2 Spot fleets to predict investment returns, all while saving up to 90 percent over On-Demand!
DEV333_Using Amazon CloudWatch for Amazon ECS Resource Monitoring at ScaleAmazon Web Services
Learn how Mapbox improved and leveled up their Amazon ECS monitoring by using Amazon CloudWatch Events and custom metrics. We cover the events that kick off data collection, which enables our team to track the trillions of compute seconds happening every day on Mapbox’s ECS clusters. The result of the data collection includes custom metrics and alarms used to inform stakeholders across Mapbox about detailed ECS usage, so development teams and finance alike can easily put a price tag on each container.
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.
AWS Commercial Management and Cost Optimisation - Dec 2017Amazon Web Services
Technical levers and strategic mechanisms for AWS Commercial Management and Cost Optimisation. Includes 2017 commercially relevant updates.
Speaker: Peter Shi, Commercial Architect, BD AWS APAC
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.
Startups and enterprises are increasingly using open source projects for architectures. AWS customers and partners also run their own open source programs and contribute key technologies to the industry (see DCS201). At AWS, we engage with open source projects in several ways. Through bug fixes and enhancements to popular projects, including work with the Hadoop ecosystem (see BDM401), Chromium (see BAP305) and Boto, and standalone projects like the security library s2n (see NET405) and machine learning project MXNet (see MAC401). We have services like Amazon ECS for Docker (see CON316) and Amazon RDS for MySQL and PostgreSQL (see DAT305) that make open source easier to use. In this session, learn more about existing AWS open source work and our next steps.
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.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
This document discusses best practices for optimizing AWS architectures for cost efficiency. It provides strategies across business goals, architecture, and operations. Key recommendations include using AWS cost tools, Reserved Instances, automation to avoid idle instances, Spot Instances, optimizing databases through caching, splitting architectures into focused stacks, and leveraging managed services. The presentation provides customer examples and emphasizes letting AWS handle undifferentiated heavy lifting to save money and focus on core business needs.
CMP316_Hedge Your Own Funds Run Monte Carlo Simulations on EC2 Spot FleetAmazon Web Services
Monte Carlo simulation is a method of generating thousands of series representing potential outcomes of possible returns. This includes drawdowns, Sharpe ratios, standard deviations, and other statistics of a specific investment or portfolio. In this session, learn how to run Monte Carlo simulations using Amazon EC2 Spot fleets to predict investment returns, all while saving up to 90 percent over On-Demand!
DEV333_Using Amazon CloudWatch for Amazon ECS Resource Monitoring at ScaleAmazon Web Services
Learn how Mapbox improved and leveled up their Amazon ECS monitoring by using Amazon CloudWatch Events and custom metrics. We cover the events that kick off data collection, which enables our team to track the trillions of compute seconds happening every day on Mapbox’s ECS clusters. The result of the data collection includes custom metrics and alarms used to inform stakeholders across Mapbox about detailed ECS usage, so development teams and finance alike can easily put a price tag on each container.
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.
AWS Commercial Management and Cost Optimisation - Dec 2017Amazon Web Services
Technical levers and strategic mechanisms for AWS Commercial Management and Cost Optimisation. Includes 2017 commercially relevant updates.
Speaker: Peter Shi, Commercial Architect, BD AWS APAC
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.
Startups and enterprises are increasingly using open source projects for architectures. AWS customers and partners also run their own open source programs and contribute key technologies to the industry (see DCS201). At AWS, we engage with open source projects in several ways. Through bug fixes and enhancements to popular projects, including work with the Hadoop ecosystem (see BDM401), Chromium (see BAP305) and Boto, and standalone projects like the security library s2n (see NET405) and machine learning project MXNet (see MAC401). We have services like Amazon ECS for Docker (see CON316) and Amazon RDS for MySQL and PostgreSQL (see DAT305) that make open source easier to use. In this session, learn more about existing AWS open source work and our next steps.
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.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
This document discusses best practices for optimizing AWS architectures for cost efficiency. It provides strategies across business goals, architecture, and operations. Key recommendations include using AWS cost tools, Reserved Instances, automation to avoid idle instances, Spot Instances, optimizing databases through caching, splitting architectures into focused stacks, and leveraging managed services. The presentation provides customer examples and emphasizes letting AWS handle undifferentiated heavy lifting to save money and focus on core business needs.
ATC303-Cache Me If You Can Minimizing Latency While Optimizing Cost Through A...Amazon Web Services
This document summarizes a presentation about caching strategies to minimize latency and optimize costs. It discusses caching at the edge with CloudFront, caching at the web tier and app tier with solutions like Varnish and ElastiCache, and caching database queries with DynamoDB Accelerator. The presentation provides examples from Team Internet and recommends caching everything possible at each layer to improve performance.
Aside from greater speed, agility, scalability, security, availability, reliability, and flexibility, AWS Cloud allows you to save on Total Cost of Ownership around IT infrastructure.
We share best practices customers employ to cost-optimise their AWS environment. This includes right sizing, scheduling instances to reduce costs, storage optimiisation, how you can save using reserved instances, as well as a look into the relevant tools to support your optimisation efforts.
For organizations looking to glean insights from their data, it is essential to deploy the right environment to successfully support analytics workloads. Learn about the different storage options from AWS, and discuss with our experts how to select the best option for your big data analytics workloads. Hear how one customer, ViaSat, used Amazon EBS for their Apache Kafka and Apache Hadoop workload to improve cost and performance. We also describe best practices and share tips for success throughout.
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.
DAT339_Replicate, Analyze, and Visualize Datasets Using AWS Database Migratio...Amazon Web Services
Customers often have disparate datasets within their data centers and on AWS. As a result, they find it challenging to replicate and analyze the data and drive positive business outcomes. In this workshop, we use AWS managed database services and serverless technologies to help replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. Then, we use Amazon Athena to interactively analyze data using SQL. Finally, we use Amazon QuickSight to visualize the data and enable better business decisions.
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.
GPSTEC326-GPS Industry 4.0 AI and the Future of ManufacturingAmazon Web Services
Advances in artificial intelligence, machine learning, and deep learning, along with the rapid deployment of Internet of Things (IoT) devices, are changing how physical products are designed and built. In this session, learn how AWS partners Siemens and Autodesk use AWS to enhance the design process and how they're incorporating AWS services into their products and smart factories. We explore how these trends impact the future of design and manufacturing.
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.
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.
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"
I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Server...Amazon Web Services
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 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.
This document summarizes a presentation given by Henry Hahn on launching applications using AWS services. It discusses how Amazon transformed its development practices to focus on DevOps principles like continuous integration and delivery. It also outlines the various AWS Code services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline that help automate the software development lifecycle from source control to deployment. The presentation demonstrates using these services to deploy a sample application through CodeStar and monitoring the deployment pipeline.
GPSWKS407-Strategies for Migrating Microsoft SQL Databases to AWSAmazon Web Services
Data is king! In this workshop, we explore different strategies and options for migrating Microsoft SQL Server databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools you can use for migration, monitoring, and backup and recovery.
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.
MCL310_Building Deep Learning Applications with Apache MXNet and GluonAmazon Web Services
In this workshop, learn how to set up a deep learning environment and explore neural network architectures, namely multilayer perceptrons, convolution neural networks (CNNs), and LSTMs. You'll learn to model problems and use cases that many customers tackle by using Gluon, the new new intuitive, dynamic programming interface for Apache MXNet. You'll also learn how to model common use cases with deep learning on AWS.
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.
This document provides an overview and summary of a session on working with Amazon ElastiCache for Redis. The session covers an introduction to Amazon ElastiCache and Redis, best practices and caching strategies when using ElastiCache, and hands-on workshops on performance testing and using ElastiCache for Redis. It also discusses Redis cluster mode, resizing and failure recovery strategies for ElastiCache clusters, and common usage patterns such as caching, processing streaming data, and powering mobile and IoT applications with ElastiCache.
Many customers want a disaster recovery environment, and they want to use this environment daily and know that it's in sync with and can support a production workload. This leads them to an active-active architecture. In other cases, users like Netflix and Lyft are distributed over large geographies. In these cases, multi-region active-active deployments are not optional. Designing these architectures is more complicated than it appears, as data being generated at one end needs to be synced with data at the other end. There are also consistency issues to consider. One needs to make trade-off decisions on cost, performance, and consistency. Further complicating matters is the variety of data stores used in the architecture results in a variety replication methods. In this session, we explore how to design an active-active multi-region architecture using AWS services, including Amazon Route 53, Amazon RDS multi-region replication, AWS DMS, and Amazon DynamoDB Streams. We discuss the challenges, trade-offs, and solutions.
A modern Big Data architecture involves extending your on-premises data management to AWS, implementing a data pipeline to stream real-time data into cloud data warehouse Amazon Redshift, perform data transformation, discovery, predictive analytics through machine learning, visualize complex information and be notified to respond to business events. This session is for APN Consulting Partners and organizations looking for ways to accelerate and modernize their Big Data projects. You will learn how to deploy and integrate AWS Services with Third-party Solutions in AWS Marketplace. Reduce your time to market by combining AWS services, open source software and ready-to-run on AWS solutions. Familiarity with Database technologies required. The session includes demonstrations and cooperative learning group activities.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
After IAM and Detective Controls you’ll turn to Infrastructure Security, which means tuning AWS Service configurations, AMI composition, and hardening other digital assets that will be deployed. We will cover how to define networking architecture (e.g. VPC, subnets, security groups); how to develop hardened AMIs based on your requirements; the importance of defining Internet ingress and egress flows, and how to determine Vulnerability Management and operational maintenance cadence.
ATC303-Cache Me If You Can Minimizing Latency While Optimizing Cost Through A...Amazon Web Services
This document summarizes a presentation about caching strategies to minimize latency and optimize costs. It discusses caching at the edge with CloudFront, caching at the web tier and app tier with solutions like Varnish and ElastiCache, and caching database queries with DynamoDB Accelerator. The presentation provides examples from Team Internet and recommends caching everything possible at each layer to improve performance.
Aside from greater speed, agility, scalability, security, availability, reliability, and flexibility, AWS Cloud allows you to save on Total Cost of Ownership around IT infrastructure.
We share best practices customers employ to cost-optimise their AWS environment. This includes right sizing, scheduling instances to reduce costs, storage optimiisation, how you can save using reserved instances, as well as a look into the relevant tools to support your optimisation efforts.
For organizations looking to glean insights from their data, it is essential to deploy the right environment to successfully support analytics workloads. Learn about the different storage options from AWS, and discuss with our experts how to select the best option for your big data analytics workloads. Hear how one customer, ViaSat, used Amazon EBS for their Apache Kafka and Apache Hadoop workload to improve cost and performance. We also describe best practices and share tips for success throughout.
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.
DAT339_Replicate, Analyze, and Visualize Datasets Using AWS Database Migratio...Amazon Web Services
Customers often have disparate datasets within their data centers and on AWS. As a result, they find it challenging to replicate and analyze the data and drive positive business outcomes. In this workshop, we use AWS managed database services and serverless technologies to help replicate, analyze, and visualize data. We replicate an on-premises database to Amazon RDS and Amazon S3 using AWS Database Migration Service and the AWS Schema Conversion Tool. Then, we use Amazon Athena to interactively analyze data using SQL. Finally, we use Amazon QuickSight to visualize the data and enable better business decisions.
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.
GPSTEC326-GPS Industry 4.0 AI and the Future of ManufacturingAmazon Web Services
Advances in artificial intelligence, machine learning, and deep learning, along with the rapid deployment of Internet of Things (IoT) devices, are changing how physical products are designed and built. In this session, learn how AWS partners Siemens and Autodesk use AWS to enhance the design process and how they're incorporating AWS services into their products and smart factories. We explore how these trends impact the future of design and manufacturing.
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.
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.
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"
I Want to Analyze and Visualize Website Access Logs, but Why Do I Need Server...Amazon Web Services
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 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.
This document summarizes a presentation given by Henry Hahn on launching applications using AWS services. It discusses how Amazon transformed its development practices to focus on DevOps principles like continuous integration and delivery. It also outlines the various AWS Code services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline that help automate the software development lifecycle from source control to deployment. The presentation demonstrates using these services to deploy a sample application through CodeStar and monitoring the deployment pipeline.
GPSWKS407-Strategies for Migrating Microsoft SQL Databases to AWSAmazon Web Services
Data is king! In this workshop, we explore different strategies and options for migrating Microsoft SQL Server databases to AWS. We cover the migration process, mechanisms, best practices, version and object compatibility, and licensing. We walk you through the migration plan and activities, landing zone, and what you need to consider before migrating. We also discuss the different tools you can use for migration, monitoring, and backup and recovery.
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.
MCL310_Building Deep Learning Applications with Apache MXNet and GluonAmazon Web Services
In this workshop, learn how to set up a deep learning environment and explore neural network architectures, namely multilayer perceptrons, convolution neural networks (CNNs), and LSTMs. You'll learn to model problems and use cases that many customers tackle by using Gluon, the new new intuitive, dynamic programming interface for Apache MXNet. You'll also learn how to model common use cases with deep learning on AWS.
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.
This document provides an overview and summary of a session on working with Amazon ElastiCache for Redis. The session covers an introduction to Amazon ElastiCache and Redis, best practices and caching strategies when using ElastiCache, and hands-on workshops on performance testing and using ElastiCache for Redis. It also discusses Redis cluster mode, resizing and failure recovery strategies for ElastiCache clusters, and common usage patterns such as caching, processing streaming data, and powering mobile and IoT applications with ElastiCache.
Many customers want a disaster recovery environment, and they want to use this environment daily and know that it's in sync with and can support a production workload. This leads them to an active-active architecture. In other cases, users like Netflix and Lyft are distributed over large geographies. In these cases, multi-region active-active deployments are not optional. Designing these architectures is more complicated than it appears, as data being generated at one end needs to be synced with data at the other end. There are also consistency issues to consider. One needs to make trade-off decisions on cost, performance, and consistency. Further complicating matters is the variety of data stores used in the architecture results in a variety replication methods. In this session, we explore how to design an active-active multi-region architecture using AWS services, including Amazon Route 53, Amazon RDS multi-region replication, AWS DMS, and Amazon DynamoDB Streams. We discuss the challenges, trade-offs, and solutions.
A modern Big Data architecture involves extending your on-premises data management to AWS, implementing a data pipeline to stream real-time data into cloud data warehouse Amazon Redshift, perform data transformation, discovery, predictive analytics through machine learning, visualize complex information and be notified to respond to business events. This session is for APN Consulting Partners and organizations looking for ways to accelerate and modernize their Big Data projects. You will learn how to deploy and integrate AWS Services with Third-party Solutions in AWS Marketplace. Reduce your time to market by combining AWS services, open source software and ready-to-run on AWS solutions. Familiarity with Database technologies required. The session includes demonstrations and cooperative learning group activities.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
After IAM and Detective Controls you’ll turn to Infrastructure Security, which means tuning AWS Service configurations, AMI composition, and hardening other digital assets that will be deployed. We will cover how to define networking architecture (e.g. VPC, subnets, security groups); how to develop hardened AMIs based on your requirements; the importance of defining Internet ingress and egress flows, and how to determine Vulnerability Management and operational maintenance cadence.
by Steve Laino, GRC Consultant, AWS
After AWS IAM and detective controls, the afternoon at AWS Security Week turns to infrastructure security, which means tuning AWS service configurations, AMI composition, and hardening other digital assets that will be deployed. You will learn how to define networking architecture (VPCs, subnets, security groups); how to develop hardened AMIs based on your requirements; the importance of defining Internet ingress and egress flows; and how to determine vulnerability management and operational maintenance cadence.
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.
How to Bring Microsoft Apps to AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how AWS can help you to improve performance, increase availability, and improve the security posture for your Microsoft workloads
- Learn best practices to ensure maximum performance and availability for your Microsoft workloads while migrating to the AWS Cloud
- Learn about Microsoft on AWS Licensing Options
Best Practices for Securing an Amazon VPC (NET318) - AWS re:Invent 2018Amazon Web Services
In this interactive workshop, we provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (Amazon VPCs). Using a hands-on approach, we take you through using Amazon VPC features such as subnets, security groups, AWS PrivateLink, network ACLs, routing, flow logs, and service endpoints. We also share best practices for VPC design and management based on our experience supporting customers running large-scale infrastructures. We recommend you bring your own laptop.
Best Practices for AWS PrivateLink (NET301) - AWS re:Invent 2018Amazon Web Services
AWS PrivateLink is a networking service that allows you to increase the security, scale, and resiliency of your services. In this session, we review the way AWS PrivateLink works, best practices, and how to increase availability and security. We review how to set up both the consumer and provider sides of PrivateLink, use cases, and interoperability with other AWS services. Whether you want to consume services in a more scalable and private way or you have services you want to share with others, we help you understand best practices for AWS PrivateLink.
Paul Maddox gave a presentation on deploying containerized microservices applications on Amazon ECS. He demonstrated building a Twitter analyzer application with Go microservices that communicate via RPC and are deployed to a production ECS cluster using AWS CloudFormation templates. Key components included Amazon ECS, ECR, container instances, tasks and containers. Deployments were made repeatable and auditable using infrastructure-as-code.
Securing Your AWS Global Transit Network: Are You Asking the Right Questions?Khash Nakhostin
Now that you’ve designed and implemented your Global Transit Network, it’s time to revisit one of those seven considerations: security. What are the right questions to start asking to verify that your security posture is adequate for your AWS cloud environment?
Your first question might be: Why do I even need additional security? Isn’t what Amazon provides “out of the box” adequate? Unfortunately, even this is not the right starting question. It’s important to appreciate that, while Amazon says it has a shared security model, your Amazon EC2 instance may not meet your security requirements “by default.” Though Amazon makes specific security features available to you, it’s still up to you to choose judiciously among the many native and third-party options.
Migrating Your Microsoft Applications to AWS - ENT325 - re:Invent 2017Amazon Web Services
When you plan your data center migration to the cloud, it's critical to consider how workloads will run to ensure maximum performance and availability. With Microsoft applications making up 60% or more of most on-premises data centers, more and more customers are moving their Microsoft workloads to AWS to improve performance, increase availability, and improve their security posture. In this session, we discuss how customers are accomplishing this task. We cover the common architectural patterns for moving Microsoft applications such as SQL Server, SharePoint, and Dynamics, and we discuss how to integrate with Active Directory for a seamless transition. We also examine tools like AWS Application Discovery and AWS Server Migration Service that can help make your move faster and easier.
This document discusses several best practices for architecting applications for the cloud. It begins by outlining three approaches for architecting applications in AWS: deploying existing apps with minimal changes, evolving apps to leverage more AWS services, and designing apps from the start to be cloud-native. It then discusses seven cloud architecture best practices: designing for failure, building security at every layer, leveraging different storage options, implementing elasticity, thinking parallel, loose coupling, and not fearing constraints. For each best practice, it provides examples and recommendations.
ENT201 Simplifying Microsoft Architectures with AWS ServicesAmazon Web Services
Learn how to architect fully available and scalable Microsoft solutions and environments in AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, plan authentication and authorization, and explore various hybrid scenarios with other cloud environment and on-premises solutions or infrastructure. Learn about common architecture patterns for network design, Microsoft Active Directory, and business productivity solutions like Dynamics AX, CRM, and Microsoft SharePoint, also common scenarios for custom .NET, .NET Core with Microsoft SQL deployments and migrations.
The document discusses security at scale on AWS. It covers several topics:
- AWS security controls including over 70 services, 7,710 audit artifacts and 3,030 audit requirements.
- How AWS handles security at scale through automation, ubiquitous logging and encryption, and rapid detection and response times of under 10 minutes on average.
- AWS services that can help with security including IAM, CloudTrail, GuardDuty, and AWS Config rules.
- Reference architectures that show how to scale infrastructure securely including using multiple availability zones and services like Route 53, S3, CloudFront, and Lambda.
Your Virtual Data Center: VPC Fundamentals and Connectivity Options (NET201) ...Amazon Web Services
This document provides an overview of Amazon Virtual Private Clouds (VPCs). It discusses VPC fundamentals like choosing IP address ranges and creating subnets. It also covers connectivity options for VPCs like creating internet gateways, VPC peering, and connecting to on-premises networks. The document lists additional topics like using security groups, VPC endpoints, DNS, and VPC flow logs. Related training sessions are also referenced.
Discover how to architect fully available and scalable Microsoft solutions and environments on AWS. Find out how Microsoft solutions can work alongside various AWS services to boost resiliency, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, learn about authentication and authorization, and explore various hybrid scenarios involving on-premises solutions or infrastructure. Examine common architecture patterns for network design, Microsoft Active Directory, and business productivity; as well as common scenarios for custom .NET, .NET Core with Microsoft SQL deployments, and migrations.
Artur Rodrigues, Senior Solutions Architect, Amazon Web Services
AWS Security Week: Infrastructure Security- Your Minimum Security BaselineAmazon Web Services
AWS Security Week at the San Francisco Loft: Infrastructure Security - Your Minimum Security Baseline
Presenter: Damindra Bandara, Security Consultant, AWS
AWS PrivateLink: Fundamentals - SRV211 - Atlanta AWS SummitAmazon Web Services
In this mid-level session, we explore the fundamentals of AWS PrivateLink, including VPC design, VPC endpoints, and Network Load Balancer. Discover the benefits and use cases for connecting your VPCs with services in AWS over AWS PrivateLink, and hear about related technologies such as AWS Direct Connect, Amazon Route 53, and other AWS services. This architecture discussion is designed for architects, network administrators, and technology decision makers interested in understanding how to connect their Amazon VPCs to SaaS services in a secure and scalable manner.
Data protection is the highest priority for any organisation, so we answer common questions about GDPR, data residency, freedom of information, and privacy. We also address security-related compliance, risk management strategies, and best practices for securing data on AWS.
This document discusses various Amazon Web Services that can be used to implement application resiliency and security. It covers goals like controlling access, implementing fault tolerance, and reducing security risks. Specific AWS services discussed for network security include VPCs, security groups, and CloudFront. The document also discusses using multiple availability zones, separating services across subnets, obfuscating infrastructure details, and implementing layered access controls. Logging and monitoring services like CloudTrail, Config, and VPC flow logs are presented as ways to gain visibility and ensure compliance.
Similar to NET309_Best Practices for Securing an Amazon Virtual Private Cloud (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.