Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...Amazon Web Services
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Manage Queries, and Audit Usage & Control Costs at Scale on Amazon Athena (AN...Amazon Web Services
Amazon Athena is easy to use. Once adopted, it can quickly proliferate throughout an organization. In this session, learn how to segregate query workloads, monitor usage for auditing and tuning purposes, and control query costs of your Athena deployment.
“Cloud First” Helps Hub Intl Grow the Business with Splunk on AWS (ANT330-S) ...Amazon Web Services
What does “Cloud First” really mean for your processes, customers, and the future of your business? In this session, learn from Hub International’s CISO and Head of Architecture how the insurance company is transforming their business by migrating to the cloud for greater scale, cost savings, performance, and security. With a goal to go all-in on AWS by end of 2018, Hub International needed real-time visibility across its cloud and hybrid environments to mitigate risks and ensure seamless migrations—thereby keeping customers happy and their data safe. See how Hub International is harnessing machine data and predictive analytics to secure applications and infrastructure, control costs and improve capacity planning. This session is brought to you by AWS partner, Splunk.
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...Amazon Web Services
AWS global infrastructure provides the tools customers need to design resilient and reliable services. In this session, we discuss how to get the most out of these tools.
Day Two Operations of Kubernetes on AWS (GPSTEC309) - AWS re:Invent 2018Amazon Web Services
You've spent the time designing, architecting, setting up, and configuring your Kubernetes cluster. Now, it's on to day two. "Day two" refers to the functions of scaling, optimizing, monitoring, securing, and in general keeping the lights on. In this talk, we discuss the tools that you have available to help you build a reliable and resilient Kubernetes cluster and run workloads in production. We discuss how to control the network, secure your environment using threat detection, scan your containers for vulnerabilities, use monitoring tools, and create scalable containers and clusters.
Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...Amazon Web Services
In this session, we walk through building and deploying a global-scale, multi-region, active-active serverless backend using Amazon Route 53 to route the traffic among AWS Regions, Amazon API Gateway, and AWS Lambda for the backend, and Amazon DynamoDB global tables for handling data storage at a global scale. We provide a demo and a hands-on coding opportunity.
How to Use Predictive Scaling (API331-R1) - AWS re:Invent 2018Amazon Web Services
Do you have cyclical loads for your application? Do you want your applications to scale to a 9 to 5 pattern in various geographies? Learn how to set up Predictive Scaling using the AWS Auto Scaling Console. We will walk through use cases such as using Predictive Scaling with your existing scaling policies, setting up Predictive Scaling for multiple Auto Scaling Groups with a single scaling plan, and using Predictive Scaling with blue-green deployments. You will leave the session with a solid understanding of when and how to use Predictive Scaling.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...Amazon Web Services
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Manage Queries, and Audit Usage & Control Costs at Scale on Amazon Athena (AN...Amazon Web Services
Amazon Athena is easy to use. Once adopted, it can quickly proliferate throughout an organization. In this session, learn how to segregate query workloads, monitor usage for auditing and tuning purposes, and control query costs of your Athena deployment.
“Cloud First” Helps Hub Intl Grow the Business with Splunk on AWS (ANT330-S) ...Amazon Web Services
What does “Cloud First” really mean for your processes, customers, and the future of your business? In this session, learn from Hub International’s CISO and Head of Architecture how the insurance company is transforming their business by migrating to the cloud for greater scale, cost savings, performance, and security. With a goal to go all-in on AWS by end of 2018, Hub International needed real-time visibility across its cloud and hybrid environments to mitigate risks and ensure seamless migrations—thereby keeping customers happy and their data safe. See how Hub International is harnessing machine data and predictive analytics to secure applications and infrastructure, control costs and improve capacity planning. This session is brought to you by AWS partner, Splunk.
Failing Successfully in the Cloud: AWS Approach to Resilient Design (ARC335-R...Amazon Web Services
AWS global infrastructure provides the tools customers need to design resilient and reliable services. In this session, we discuss how to get the most out of these tools.
Day Two Operations of Kubernetes on AWS (GPSTEC309) - AWS re:Invent 2018Amazon Web Services
You've spent the time designing, architecting, setting up, and configuring your Kubernetes cluster. Now, it's on to day two. "Day two" refers to the functions of scaling, optimizing, monitoring, securing, and in general keeping the lights on. In this talk, we discuss the tools that you have available to help you build a reliable and resilient Kubernetes cluster and run workloads in production. We discuss how to control the network, secure your environment using threat detection, scan your containers for vulnerabilities, use monitoring tools, and create scalable containers and clusters.
Best Practices for Building Multi-Region, Active-Active Serverless Applicatio...Amazon Web Services
In this session, we walk through building and deploying a global-scale, multi-region, active-active serverless backend using Amazon Route 53 to route the traffic among AWS Regions, Amazon API Gateway, and AWS Lambda for the backend, and Amazon DynamoDB global tables for handling data storage at a global scale. We provide a demo and a hands-on coding opportunity.
How to Use Predictive Scaling (API331-R1) - AWS re:Invent 2018Amazon Web Services
Do you have cyclical loads for your application? Do you want your applications to scale to a 9 to 5 pattern in various geographies? Learn how to set up Predictive Scaling using the AWS Auto Scaling Console. We will walk through use cases such as using Predictive Scaling with your existing scaling policies, setting up Predictive Scaling for multiple Auto Scaling Groups with a single scaling plan, and using Predictive Scaling with blue-green deployments. You will leave the session with a solid understanding of when and how to use Predictive Scaling.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
Data Lake Patterns for Voice, Vision, Advanced Analytics, & ML Using Serverle...Amazon Web Services
Industry 4.0 demands greater insight into data to bring people, processes, and equipment together. In this workshop, we illustrate how to gain business insights from video and voice data sources, highlighting the data pipeline. We ingest source feeds, efficiently store the data, and perform advanced analytics using AWS ML services and analysis tools. Typical applications include anomaly detection (detecting spills or hazardous objects and predictive maintenance) and voice sentiment analysis (customer service insights). By the end of the session, you will be able to quickly analyze data for uncommon characteristics using those detections to initiate a wide variety of actions.
Machine Learning at the IoT Edge (IOT214) - AWS re:Invent 2018Amazon Web Services
Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
Scale up a Web Application (ARC409-R) - AWS re:Invent 2018Amazon Web Services
In this session, you use an automated test suite to bombard an application with an increasing number of concurrent users. You then identify the bottlenecks and refactor the application. Discover how many concurrent users can you get to.
Advanced Deployment Best Practices with AWS CodeDeploy (DEV404-R2) - AWS re:I...Amazon Web Services
In this chalk talk, we share best practices for making decisions around designing blue/green or canary deployments for your application or infrastructure updates. We focus on applications running on Amazon EC2, and we use AWS CodeDeploy to automate deployments. We also take a deeper look at some of the advanced features, such as how to reroute traffic while your application is running. Finally, we share some examples of how to consume an Auto Scaling group with AWS CodeDeploy.
Deploy Alexa for Business in Your Organization & Build Your First Private Ski...Amazon Web Services
Alexa for Business enables you to deploy and manage Alexa skills for your organization. You can use Alexa skills to create smart conference rooms, help employees be more productive, and even create a unique experience for your customers. In this workshop, you have a chance to get hands on with Alexa for Business. You create an Alexa for Business organization, set up a private skills catalog for your organization, build a private skill for a Tableau BI application, and publish skills to your catalog. You also set up personal device enrollment, configure access policies for employees, and turn on voice authentication. Finally, you set up a virtual Alexa-enabled conference room and configure default dial-in information so you can join meetings using your voice. Bring your laptop and an existing AWS account. No previous Alexa experience is required.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
The document discusses setting up a development environment for AWS Greengrass. It includes creating a certificate authority to provision an AWS Greengrass core and running the AWS Greengrass service on the core. The agenda also covers reviewing the just-in-time provisioning architecture and provisioning an AWS Greengrass core.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
The document discusses how application platforms and AWS can work together to help customers build and modernize hybrid applications. It describes how application platforms provide capabilities for self-service provisioning, automation, and standards-based development that integrate well with the elasticity, availability, and security of AWS. The document outlines a hybrid journey where applications can start on application platforms and gradually move capabilities to AWS for better performance, cost optimization, and scalability.
How Avatars & AR Are Driving Innovation: Lessons from Electronic Caregiver (A...Amazon Web Services
Electronic Caregiver has embraced the use of augmented reality, artificial intelligence, machine learning, and virtual avatars to transform how it provides health and aging services. In this session, learn how the company translated 20 years of research and clinical experience into an innovative new product line, Addison Care, built on AWS services. We provide an overview of the architecture and facilitate a discussion on selecting and integrating various services. Come prepared for a lively session.
Plan, Track, and Execute Mass Migrations (ENT325-R1) - AWS re:Invent 2018Amazon Web Services
The document discusses best practices for mass migrations to AWS. It recommends using tools like AWS Migration Services and AWS Database Migration Service to help plan and execute migrations. AWS Migration Hub is highlighted as a central location to track application migration progress across AWS and partner solutions. The presentation emphasizes following an iterative agile methodology with weekly demonstrations and retrospectives. It also stresses the importance of full-time staff commitment during the readiness and planning engagement to ensure migration success.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
The document discusses AWS Storage Gateway, which allows for hybrid cloud storage architectures by enabling on-premises access and transfer of data to AWS cloud storage services. It provides an overview of Storage Gateway's file, volume, and tape gateway types. It also discusses how Kellogg's uses Storage Gateway for backup and disaster recovery, including migrating from traditional backups to using Storage Gateway to backup to S3 and EBS. Best practices for using Storage Gateway are also covered.
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018Amazon Web Services
Applications can pick up exactly where they left off instead of rebuilding the memory footprint all over again with Amazon EC2 Hibernate. Learn how you can now hibernate your Amazon EC2 instances backed by Amazon EBS and resume them at a later time. Applications that rely on caches and other memory-centric components can take tens of minutes to preload or warm up. You can now pause and resume EC2 Instances running Amazon Linux to get applications up and running quickly today. It’s like closing and opening your laptop!
Move Data to AWS Faster for Migrations, DR, & Bidirectional Workflows (STG382...Amazon Web Services
There are a myriad of ways to get your file-based data into Amazon S3 and Amazon EFS, from the simple AWS command line tools and similar script-based approaches to proprietary commercial tools built for media workflows. Attend this session to learn about an architecture and associated tips and tricks that enable you to improve data transfer performance—scaling out with parallel streams—without the manual labor of extensive scripting or the cost of third-party licensed software.
Building an Augmented Reality Owner's Manual (AMT315) - AWS re:Invent 2018Amazon Web Services
Car buyers demand more experiences from their vehicles than ever before. But as our vehicles adopt more advanced features, customers find it difficult to understand how to use them, resulting in low utilization. You can address this challenge using an interactive owner’s manual, providing customers with a visual, accessible way of understanding the features of their vehicles. In this session, we walk through the process of building an augmented reality vehicle owner’s manual application, combining augmented reality with Amazon Sumerian, voice interfaces using Amazon Lex and Amazon Polly, and underlying data provided by AWS IoT. Attendees walk away with an understanding of how to build an augmented reality interface to complement the physical controls of the vehicle cockpit.
Customizing Data Lakes to Work for Your Enterprise with Sysco (STG340) - AWS ...Amazon Web Services
Data lakes are helping enterprises of all sizes and industries make the most of their data. However, building a data lake requires consideration of your goals and an understanding of data lakes, including data ingestion, data consumption, and usability layers. In this chalk talk, AWS experts and representatives from Sysco, a Fortune 50 company and leader in food distribution and marketing, discuss parts of a data lake, design considerations, and the pros and cons of different architectural designs. They share guidance around data tracking, costs, user access, synchronization, and data integrity so that your data lake complies with governance requirements and works towards your data goals. Sysco representatives share their data lake experiences, best practices, and lessons learned. We highlight Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
Managing Connected Devices at Scale with AWS IoT Device Management, ft. Hudl ...Amazon Web Services
IoT deployments often consist of thousands to millions of devices deployed across multiple locations. It is essential to have a solution to track, monitor, and manage your connected device fleets at scale. In this session, learn how AWS IoT Device Management can help you onboard, remotely manage, and monitor your connected devices. In this session, we discuss key features of AWS IoT Device Management, including fleet indexing and search, remote commands, over-the-air (OTA) updates, and device monitoring. Learn how AWS IoT Device Management can help you scale your fleets and reduce the cost and effort of managing IoT device deployments. Also, representatives from Hudl, the world leader in sports video analysis, discuss how the company is changing the recording and upload process for high schools across the country with their newest product, Hudl Focus.
How Trek10 Uses Datadog's Distributed Tracing to Improve AWS Lambda Projects ...Amazon Web Services
Tracing is always a challenge, no matter what your architecture is. Creating an application with serverless functions, such as with AWS Lambda, provides agility and scalability to your application, but it also creates an added challenge for code tracing. In this session, we review Datadog's distributed tracing capabilities and how Trek10 uses those capabilities to improve its customers’ applications. Learn how to use AWS X-Ray in a serverless environment. Also, learn strategies for working with traces and logs that explain application errors. Finally, learn how Trek10 uses AWS X-Ray with Datadog to measure and improve its applications' performance. This session is brought to you by AWS partner, Datadog.
Automate & Audit Cloud Governance & Compliance in Your Landing Zone (ENT315-R...Amazon Web Services
The document discusses automating and auditing cloud governance and compliance in AWS landing zones. It describes establishing foundational accounts and organizational structures using AWS Organizations and shared services accounts. It also discusses implementing logging, monitoring and auditing of activity and configurations using services like AWS CloudTrail, AWS Config, and AWS Lambda. The document provides examples of automating security responses by sending events to responders using AWS Lambda.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...Amazon Web Services
Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
Voice-Powered Serverless Analytics (SRV240-R1) - AWS re:Invent 2018Amazon Web Services
As a business manager, imagine asking Alexa within a skill that was specifically built for your organization for key insights into your business, such as “Who is our largest customer in Northern California?” or “How has our sales volume grown between Q1 and Q2 in our Asian markets?” In this workshop, you build an Alexa skill that queries metrics from a data lake that you define. The goal is for you to understand how to uncover key performance indicators (KPIs) from a dataset, build and automate queries with AWS Lambda, and access them via Alexa voice-enabled devices. Startups can make available voice-powered analytics to query at any time, and enterprises can deliver these types of solutions to stakeholders so they can have easy access to the business KPIs that are top of mind.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Data Lake Patterns for Voice, Vision, Advanced Analytics, & ML Using Serverle...Amazon Web Services
Industry 4.0 demands greater insight into data to bring people, processes, and equipment together. In this workshop, we illustrate how to gain business insights from video and voice data sources, highlighting the data pipeline. We ingest source feeds, efficiently store the data, and perform advanced analytics using AWS ML services and analysis tools. Typical applications include anomaly detection (detecting spills or hazardous objects and predictive maintenance) and voice sentiment analysis (customer service insights). By the end of the session, you will be able to quickly analyze data for uncommon characteristics using those detections to initiate a wide variety of actions.
Machine Learning at the IoT Edge (IOT214) - AWS re:Invent 2018Amazon Web Services
Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
Scale up a Web Application (ARC409-R) - AWS re:Invent 2018Amazon Web Services
In this session, you use an automated test suite to bombard an application with an increasing number of concurrent users. You then identify the bottlenecks and refactor the application. Discover how many concurrent users can you get to.
Advanced Deployment Best Practices with AWS CodeDeploy (DEV404-R2) - AWS re:I...Amazon Web Services
In this chalk talk, we share best practices for making decisions around designing blue/green or canary deployments for your application or infrastructure updates. We focus on applications running on Amazon EC2, and we use AWS CodeDeploy to automate deployments. We also take a deeper look at some of the advanced features, such as how to reroute traffic while your application is running. Finally, we share some examples of how to consume an Auto Scaling group with AWS CodeDeploy.
Deploy Alexa for Business in Your Organization & Build Your First Private Ski...Amazon Web Services
Alexa for Business enables you to deploy and manage Alexa skills for your organization. You can use Alexa skills to create smart conference rooms, help employees be more productive, and even create a unique experience for your customers. In this workshop, you have a chance to get hands on with Alexa for Business. You create an Alexa for Business organization, set up a private skills catalog for your organization, build a private skill for a Tableau BI application, and publish skills to your catalog. You also set up personal device enrollment, configure access policies for employees, and turn on voice authentication. Finally, you set up a virtual Alexa-enabled conference room and configure default dial-in information so you can join meetings using your voice. Bring your laptop and an existing AWS account. No previous Alexa experience is required.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
The document discusses setting up a development environment for AWS Greengrass. It includes creating a certificate authority to provision an AWS Greengrass core and running the AWS Greengrass service on the core. The agenda also covers reviewing the just-in-time provisioning architecture and provisioning an AWS Greengrass core.
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
The document discusses how application platforms and AWS can work together to help customers build and modernize hybrid applications. It describes how application platforms provide capabilities for self-service provisioning, automation, and standards-based development that integrate well with the elasticity, availability, and security of AWS. The document outlines a hybrid journey where applications can start on application platforms and gradually move capabilities to AWS for better performance, cost optimization, and scalability.
How Avatars & AR Are Driving Innovation: Lessons from Electronic Caregiver (A...Amazon Web Services
Electronic Caregiver has embraced the use of augmented reality, artificial intelligence, machine learning, and virtual avatars to transform how it provides health and aging services. In this session, learn how the company translated 20 years of research and clinical experience into an innovative new product line, Addison Care, built on AWS services. We provide an overview of the architecture and facilitate a discussion on selecting and integrating various services. Come prepared for a lively session.
Plan, Track, and Execute Mass Migrations (ENT325-R1) - AWS re:Invent 2018Amazon Web Services
The document discusses best practices for mass migrations to AWS. It recommends using tools like AWS Migration Services and AWS Database Migration Service to help plan and execute migrations. AWS Migration Hub is highlighted as a central location to track application migration progress across AWS and partner solutions. The presentation emphasizes following an iterative agile methodology with weekly demonstrations and retrospectives. It also stresses the importance of full-time staff commitment during the readiness and planning engagement to ensure migration success.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
The document discusses AWS Storage Gateway, which allows for hybrid cloud storage architectures by enabling on-premises access and transfer of data to AWS cloud storage services. It provides an overview of Storage Gateway's file, volume, and tape gateway types. It also discusses how Kellogg's uses Storage Gateway for backup and disaster recovery, including migrating from traditional backups to using Storage Gateway to backup to S3 and EBS. Best practices for using Storage Gateway are also covered.
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018Amazon Web Services
Applications can pick up exactly where they left off instead of rebuilding the memory footprint all over again with Amazon EC2 Hibernate. Learn how you can now hibernate your Amazon EC2 instances backed by Amazon EBS and resume them at a later time. Applications that rely on caches and other memory-centric components can take tens of minutes to preload or warm up. You can now pause and resume EC2 Instances running Amazon Linux to get applications up and running quickly today. It’s like closing and opening your laptop!
Move Data to AWS Faster for Migrations, DR, & Bidirectional Workflows (STG382...Amazon Web Services
There are a myriad of ways to get your file-based data into Amazon S3 and Amazon EFS, from the simple AWS command line tools and similar script-based approaches to proprietary commercial tools built for media workflows. Attend this session to learn about an architecture and associated tips and tricks that enable you to improve data transfer performance—scaling out with parallel streams—without the manual labor of extensive scripting or the cost of third-party licensed software.
Building an Augmented Reality Owner's Manual (AMT315) - AWS re:Invent 2018Amazon Web Services
Car buyers demand more experiences from their vehicles than ever before. But as our vehicles adopt more advanced features, customers find it difficult to understand how to use them, resulting in low utilization. You can address this challenge using an interactive owner’s manual, providing customers with a visual, accessible way of understanding the features of their vehicles. In this session, we walk through the process of building an augmented reality vehicle owner’s manual application, combining augmented reality with Amazon Sumerian, voice interfaces using Amazon Lex and Amazon Polly, and underlying data provided by AWS IoT. Attendees walk away with an understanding of how to build an augmented reality interface to complement the physical controls of the vehicle cockpit.
Customizing Data Lakes to Work for Your Enterprise with Sysco (STG340) - AWS ...Amazon Web Services
Data lakes are helping enterprises of all sizes and industries make the most of their data. However, building a data lake requires consideration of your goals and an understanding of data lakes, including data ingestion, data consumption, and usability layers. In this chalk talk, AWS experts and representatives from Sysco, a Fortune 50 company and leader in food distribution and marketing, discuss parts of a data lake, design considerations, and the pros and cons of different architectural designs. They share guidance around data tracking, costs, user access, synchronization, and data integrity so that your data lake complies with governance requirements and works towards your data goals. Sysco representatives share their data lake experiences, best practices, and lessons learned. We highlight Amazon S3 and S3 Select, Amazon Athena, Amazon EMR, Amazon EC2, and Amazon Redshift Spectrum.
DevOps Concepts for Data Science (DEV347-R2) - AWS re:Invent 2018Amazon Web Services
DevOps and Data Science? How does that work? In software teams where innovation is a priority, DevOps can be an accelerator. In data science and machine learning, there are a number of factors that increase complexity of systems and thus the complexity of DevOps. This session will touch on fundamental concepts in data science such as data management, ETL, modeling, and model validation, and open discussion around some ways that common tools and processes can be used to decouple and stabilize workflows to accelerate research.
Managing Connected Devices at Scale with AWS IoT Device Management, ft. Hudl ...Amazon Web Services
IoT deployments often consist of thousands to millions of devices deployed across multiple locations. It is essential to have a solution to track, monitor, and manage your connected device fleets at scale. In this session, learn how AWS IoT Device Management can help you onboard, remotely manage, and monitor your connected devices. In this session, we discuss key features of AWS IoT Device Management, including fleet indexing and search, remote commands, over-the-air (OTA) updates, and device monitoring. Learn how AWS IoT Device Management can help you scale your fleets and reduce the cost and effort of managing IoT device deployments. Also, representatives from Hudl, the world leader in sports video analysis, discuss how the company is changing the recording and upload process for high schools across the country with their newest product, Hudl Focus.
How Trek10 Uses Datadog's Distributed Tracing to Improve AWS Lambda Projects ...Amazon Web Services
Tracing is always a challenge, no matter what your architecture is. Creating an application with serverless functions, such as with AWS Lambda, provides agility and scalability to your application, but it also creates an added challenge for code tracing. In this session, we review Datadog's distributed tracing capabilities and how Trek10 uses those capabilities to improve its customers’ applications. Learn how to use AWS X-Ray in a serverless environment. Also, learn strategies for working with traces and logs that explain application errors. Finally, learn how Trek10 uses AWS X-Ray with Datadog to measure and improve its applications' performance. This session is brought to you by AWS partner, Datadog.
Automate & Audit Cloud Governance & Compliance in Your Landing Zone (ENT315-R...Amazon Web Services
The document discusses automating and auditing cloud governance and compliance in AWS landing zones. It describes establishing foundational accounts and organizational structures using AWS Organizations and shared services accounts. It also discusses implementing logging, monitoring and auditing of activity and configurations using services like AWS CloudTrail, AWS Config, and AWS Lambda. The document provides examples of automating security responses by sending events to responders using AWS Lambda.
Configuration Management and Service Discovery with AWS Lambda (SRV338-R1) - ...Amazon Web Services
Your system is composed of highly decoupled, independent, fast, and modular microservices. But how can they share common configurations, dynamic endpoints, database references, and properly rotate secrets? Based on the size and complexity of your serverless system, you may use AWS Lambda environment variables, AWS Systems Manager's Parameter Store, and the recently announced AWS Secrets Manager. In this session, we showcase the best use cases for each solution, as well as corresponding best practices to achieve the highest standards for security and performance.
Voice-Powered Serverless Analytics (SRV240-R1) - AWS re:Invent 2018Amazon Web Services
As a business manager, imagine asking Alexa within a skill that was specifically built for your organization for key insights into your business, such as “Who is our largest customer in Northern California?” or “How has our sales volume grown between Q1 and Q2 in our Asian markets?” In this workshop, you build an Alexa skill that queries metrics from a data lake that you define. The goal is for you to understand how to uncover key performance indicators (KPIs) from a dataset, build and automate queries with AWS Lambda, and access them via Alexa voice-enabled devices. Startups can make available voice-powered analytics to query at any time, and enterprises can deliver these types of solutions to stakeholders so they can have easy access to the business KPIs that are top of mind.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. Enel (IOT2...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
IoT Building Blocks: From Edge Devices to Analytics in the Cloud - SRV204 - T...Amazon Web Services
In this session, we explore features and functions of AWS IoT services. We first cover AWS IoT fundamentals and our partner ecosystem. Then we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore a use case for IoT applications. Leave this session with an understanding of how to start building IoT applications with AWS IoT.
IoT Building Blocks: From Edge Devices to Analytics in the Cloud - SRV304 - C...Amazon Web Services
In this session, we explore features and functions of AWS IoT services. We first cover AWS IoT fundamentals and our partner ecosystem. Then we discuss AWS IoT services in greater detail, review best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore a use case for IoT applications. Leave this session with an understanding of how to start building IoT applications with AWS IoT.
Securing the edge with AWS IoT services - FND330 - AWS re:Inforce 2019 Amazon Web Services
Edge computing is one of the most important enablers of the future. It saves lives, democratizes resources, and reduces costs in scenarios where near real-time action is required. This session covers how to keep edge computing secure. We dive deep into how AWS IoT Greengrass authenticates and encrypts device data for local and cloud communications so that data is never exchanged without proven identity. You can leverage hardware-secured, end-to-end encryption for messages exchanged between devices, an AWS IoT Greengrass core, and the AWS Cloud, and for messages between an AWS IoT Greengrass core and other local devices using the AWS IoT device SDK.
IoT Compute at the Edge with AWS Greengrass - GOTO AmsterdamBoaz Ziniman
The document discusses AWS Greengrass and edge computing. It begins with an overview of AWS IoT architecture and how AWS Greengrass extends AWS IoT capabilities to the edge by running Lambda functions, messaging, and device state synchronization locally on gateway devices. It then describes several key AWS Greengrass features like local actions and triggers, data synchronization with the cloud, security capabilities, accessing local resources for functions, machine learning inference, and protocol adapters. It provides examples of how AWS Greengrass can be used for applications in various industries.
Amazon FreeRTOS is an IoT operating system for microcontrollers that makes small, low powered edge devices easy to program, deploy, secure, connect and maintain. It is based on the popular FreeRTOS kernel and includes libraries for local and cloud connectivity, security, and over-the-air firmware updates. Amazon FreeRTOS integrates with AWS IoT services like Greengrass, IoT Core, IoT Analytics and more to provide a full solution for IoT devices, edge computing and the cloud.
In this workshop, we introduce AWS IoT Greengrass, discuss its components and features, and share how customers use it to process and route data at the edge. Learn how to connect a "thing" to AWS IoT Core and AWS IoT Greengrass core, provision a Greengrass group, configure the group, and deploy to a Greengrass-enabled device. You also learn how local devices discover and route data to an AWS IoT Greengrass core. Finally, you learn how AWS IoT Greengrass enables the local execution of AWS Lambda code, messaging, data caching, and security.
AWS Greengrass & Amazon FreeRTOS: Connectivity & Security at the Edge (IOT356...Amazon Web Services
In this session, we discuss how customers can use Amazon FreeRTOS on microcontrollers with AWS Greengrass at the edge. We walk through connecting your devices running Amazon FreeRTOS and connecting devices to AWS Greengrass. We also show you how these two services can work together to solve customer use cases. In addition, we cover security best practices for key management and TLS implementation across Amazon FreeRTOS and AWS Greengrass.
Introduction to AWS IoT Greengrass - SVC305 - Chicago AWS SummitAmazon Web Services
An increasingly popular method for relieving some of the workload for Internet of Things (IoT) applications is to move some of the compute chores to edge devices, allowing these devices to locally process some or all of the data they generate. In this workshop, we introduce AWS IoT Greengrass, discuss its components and features, and share how customers use it to process and route data at the edge. You learn how to connect a “thing” to AWS IoT Core and AWS IoT Greengrass core, provision an AWS IoT Greengrass group, configure the group, deploy to an AWS IoT Greengrass–enabled device, and more.
In this session from IoT World 2019, Craig Williams shared how AWS IoT helps our customers around the world easily deploy IoT solutions. He shares how you can use our services to easily collect and analyze data, take preventative measures to secure their fleet of devices, actively monitor devices, and deploy machine learning models onto the devices.
Architecting Digital Media Archive Migrations with AWS - STG301 - Anaheim AWS...Amazon Web Services
Migrating large media archives can be challenging. In this session, learn how the combination of AWS transfer services, including AWS DataSync and AWS Snowball Edge, and the AWS asset management migration solutions help accelerate this process. This match-up simplifies challenges around DAM/MAM integration, speeds up LTO archive retirement, transcodes video, and adds value through metadata analysis and storage by leveraging AI/ML.
Deep Dive into New AWS IoT Services Launched in 2018 (IOT320) - AWS re:Invent...Amazon Web Services
Take a deep dive into the newer services available in 2018 for AWS IoT. In this session, we look at new features added to AWS IoT Core and AWS Greengrass with Edge ML, and then deep dive into AWS IoT Analytics, AWS Device Management, and AWS IoT Device Defender. Learn more about when to use some of these services and explore comparisons between them.
Connected Product Development - Secure Cloud & Local Connectivity for Microco...Amazon Web Services
Learning Objectives:
- Configure and download Amazon FreeRTOS on supported hardware to quickly develop a POC
- Deploy a connected product running Amazon FreeRTOS and connect to AWS cloud services
- Connect a device running Amazon FreeRTOS to a local AWS Greengrass Core device
Building IoT Applications for a Smart Home, ft. Vestel (IOT306-R1) - AWS re:I...Amazon Web Services
The IoT transformation begins at home. Today, device manufacturers and network providers are building groundbreaking connected devices and applications to make your home smarter. In this session, we dive into the best practices and common patterns for building connected devices and applications for a Smart Home. This session focuses on securely onboarding your devices to a consumer's account, leveraging IoT, using ML at the edge, and video streaming for home security. By the end of the session, you'll have a set of best practices for how to build IoT products in the Smart Home. Also hear from Vestel about their smart home application.
La seguridad en la nube de AWS es la mayor prioridad. Como cliente de AWS, se beneficiará de una arquitectura de red y un centro de datos diseñados para satisfacer los requisitos de seguridad de las organizaciones más exigentes.
Una ventaja de la nube de AWS es que permite a los clientes escalar e innovar al mismo tiempo que garantizan la seguridad del entorno. Los clientes solo pagan por los servicios que usan, es decir, que puede gozar de la seguridad que necesite sin tener que realizar pagos iniciales y a un costo inferior que el de un entorno on-premise.
https://aws.amazon.com/es/security/
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices and with AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices can leverage AWS IoT and use AWS IoT Button to demonstrate building a real connected product, securely connect with AWS IoT.
AWS and Symantec: Cyber Defense at Scale (SEC311-S) - AWS re:Invent 2018Amazon Web Services
Learn how Symantec uses AWS to provide complete, integrated security solutions that monitor and protect companies and governments from hackers. Hear about lessons learned from how Symantec scaled up its infrastructure to analyze billions of logs every day to detect the world’s most sophisticated cyber attacks, and you’ll see how Symantec integrates with native AWS services, like Amazon GuardDuty, AWS Lambda, and AWS Systems Manager, into its own security solutions to provide even better security in the cloud. This session is brought to you by AWS partner, Symantec Corporation.
The document provides an overview of Amazon Web Services (AWS) including its global infrastructure, key services, and security practices. It discusses AWS' 13+ years of experience and 165 cloud services. Specific AWS services covered include compute, storage, databases, security, and containers. Pricing and availability of AWS services are also summarized.
Similar to Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General Electric (IOT206) - AWS re:Invent 2018 (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.
25. Use Case: Risks in Building Automation
Disrupt service by sending
high volume of traffic
Denial of Service
Mimic the identity of a valid
device
Spoofing
Information is intercepted and
manipulated
Man-in-the-middle
26. Greengrass with Hardware Security Integration
Mitigates these Risks
Only registered devices can
connect to Greengrass and
IoT cloud
Denial of Service
Hardware root-of-trust
identity for Greengrass Core
devices
Spoofing
Communication encrypted using
Transport Layer Security protocol
Man-in-the-middle