The document discusses building a Cloud Center of Excellence (CCOE) organization. It describes how the CCOE can provide products like standardized cloud capabilities and governance through a Cloud Platform Engineering (CPE) team. It also describes how the CBO aligns these products to customer and stakeholder needs and oversees functions like program management, financial management and organizational change management. The CCOE framework aims to help customers realize maximum value from the cloud.
BDA308 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations.
The document discusses building a global multi-region serverless architecture on AWS. It covers topics like system reliability and availability, why a multi-region multi-master architecture is needed, how to deploy one on AWS using services like DynamoDB Global Tables, Lambda, API Gateway and Route 53. It then provides an example of a serverless architecture with DynamoDB global tables replicated across regions and Lambda functions triggered from API endpoints in different regions for high availability.
Earn Your DevOps Black Belt: Deployment Scenarios with AWS CloudFormation (DE...Amazon Web Services
The document discusses using AWS CloudFormation for continuous integration and continuous deployment (CI/CD) of infrastructure as code. It covers version controlling templates, static analysis and testing of templates, and deploying templates through pipelines to different environments like staging and production. It also provides examples of deploying full application stacks including EC2 instances, containers, serverless architectures, and strategies for grouping resource types.
[NEW LAUNCH!] Introducing Amazon Elastic Inference: Reduce Deep Learning Infe...Amazon Web Services
Deploying deep learning applications at scale can be cost prohibitive due to the need for hardware acceleration to meet latency and throughput requirements of inference. Amazon Elastic Inference helps you tackle this problem by reducing the cost of inference by up to 75% with GPU-powered acceleration that can be right-sized to your application’s inference needs. In this session, learn about how to deploy TensorFlow, Apache MXNet, and ONNX models with Amazon Elastic Inference on Amazon EC2 and Amazon SageMaker. Hear from Autodesk on the positive impact of AI on tools used to design and make a better world. Learn about how Autodesk and the Autodesk AI Lab are using Amazon Elastic Inference to make it cost efficient to run these tools at scale.
Announcing AWS RoboMaker: A New Cloud Robotics Service (ROB201-R) - AWS re:In...Amazon Web Services
The document discusses AWS RoboMaker, a service that allows users to develop, test, and deploy robotics applications on AWS. It provides a cloud-based development environment integrated with simulation tools and ROS. Key capabilities include simulation as a service, cloud extensions for ROS that integrate AWS services, and fleet management tools integrated with AWS Greengrass. The goal is to make robotics development and testing easier by automating setup and providing tools for the entire development cycle from IDE to simulation to deployment.
Deep Learning Applications Using TensorFlow, ft. Advanced Microgrid Solutions...Amazon Web Services
The TensorFlow deep learning framework is used for developing diverse artificial intelligence (AI) applications, including computer vision, natural language, speech, and translation. In this session, learn how to use TensorFlow within the Amazon SageMaker machine learning platform. Then, hear from Advanced Microgrid Solutions about how they implemented a deep neural network architecture with Keras and TensorFlow to forecast energy prices in near real time.
Building an AWS Greengrass Machine Learning Solution at the Edge (IOT403-R1) ...Amazon Web Services
In this workshop, we step through the key features of AWS Greengrass Machine Learning (ML) Inference. First, we explore how to use Amazon SageMaker to build an ML model. We then install and run it on an AWS Greengrass device. AWS Greengrass ML Inference gives you the best of both worlds. You use the cloud to build and train models and ML inference to deploy and run the model locally for quick response times and local action.
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.
BDA308 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations.
The document discusses building a global multi-region serverless architecture on AWS. It covers topics like system reliability and availability, why a multi-region multi-master architecture is needed, how to deploy one on AWS using services like DynamoDB Global Tables, Lambda, API Gateway and Route 53. It then provides an example of a serverless architecture with DynamoDB global tables replicated across regions and Lambda functions triggered from API endpoints in different regions for high availability.
Earn Your DevOps Black Belt: Deployment Scenarios with AWS CloudFormation (DE...Amazon Web Services
The document discusses using AWS CloudFormation for continuous integration and continuous deployment (CI/CD) of infrastructure as code. It covers version controlling templates, static analysis and testing of templates, and deploying templates through pipelines to different environments like staging and production. It also provides examples of deploying full application stacks including EC2 instances, containers, serverless architectures, and strategies for grouping resource types.
[NEW LAUNCH!] Introducing Amazon Elastic Inference: Reduce Deep Learning Infe...Amazon Web Services
Deploying deep learning applications at scale can be cost prohibitive due to the need for hardware acceleration to meet latency and throughput requirements of inference. Amazon Elastic Inference helps you tackle this problem by reducing the cost of inference by up to 75% with GPU-powered acceleration that can be right-sized to your application’s inference needs. In this session, learn about how to deploy TensorFlow, Apache MXNet, and ONNX models with Amazon Elastic Inference on Amazon EC2 and Amazon SageMaker. Hear from Autodesk on the positive impact of AI on tools used to design and make a better world. Learn about how Autodesk and the Autodesk AI Lab are using Amazon Elastic Inference to make it cost efficient to run these tools at scale.
Announcing AWS RoboMaker: A New Cloud Robotics Service (ROB201-R) - AWS re:In...Amazon Web Services
The document discusses AWS RoboMaker, a service that allows users to develop, test, and deploy robotics applications on AWS. It provides a cloud-based development environment integrated with simulation tools and ROS. Key capabilities include simulation as a service, cloud extensions for ROS that integrate AWS services, and fleet management tools integrated with AWS Greengrass. The goal is to make robotics development and testing easier by automating setup and providing tools for the entire development cycle from IDE to simulation to deployment.
Deep Learning Applications Using TensorFlow, ft. Advanced Microgrid Solutions...Amazon Web Services
The TensorFlow deep learning framework is used for developing diverse artificial intelligence (AI) applications, including computer vision, natural language, speech, and translation. In this session, learn how to use TensorFlow within the Amazon SageMaker machine learning platform. Then, hear from Advanced Microgrid Solutions about how they implemented a deep neural network architecture with Keras and TensorFlow to forecast energy prices in near real time.
Building an AWS Greengrass Machine Learning Solution at the Edge (IOT403-R1) ...Amazon Web Services
In this workshop, we step through the key features of AWS Greengrass Machine Learning (ML) Inference. First, we explore how to use Amazon SageMaker to build an ML model. We then install and run it on an AWS Greengrass device. AWS Greengrass ML Inference gives you the best of both worlds. You use the cloud to build and train models and ML inference to deploy and run the model locally for quick response times and local action.
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.
Driving DevOps Transformation in Enterprises (DEV320) - AWS re:Invent 2018Amazon Web Services
In this session, learn how AWS is helping enterprises adopt the DevOps model and automation in their journey to the cloud. By using the DevOps principle to treat your infrastructure environments as code, you can automate and easily scale your lifecycle environments. Learn how services like AWS CloudFormation and AWS OpsWorks enable you to automate your instance provisioning and configurations as code, ensuring consistent, compliant, and scalable cloud infrastructure. Understand how OpsWorks is enabling enterprises to accelerate their migration to the cloud, leveraging popular tools like Chef or Puppet and their respective communities. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
Computação de Alta Performance (HPC) na AWS - CMP201 - Sao Paulo SummitAmazon Web Services
A computação de alta performance (HPC) na nuvem permite alta escala computacional e intensivos gráficos de cargas de trabalho em diversos setores, incluindo aeroespacial, manufatura, ciências da vida, serviços financeiros e energia. A AWS fornece aos desenvolvedores de aplicações e usuários um poder computacional sem precedentes para aplicações massivamente paralelas em áreas como fluído de grande escala e simulação de materiais, renderização de conteúdo 3D, computação financeira e deep learning. Nesta sessão, fornecemos uma visão geral dos recursos de HPC na AWS. Descrevemos a mais nova geração de instâncias de computação de uso geral e aceleradas, destacamos casos de uso de clientes e parceiros em todos os setores e discutimos casos de uso de HPC novos e emergentes. Os participantes aprenderão as melhores práticas para executar fluxos de trabalho de HPC na nuvem, incluindo automação e otimização de fluxo de trabalho.
Studio in the Cloud: Producing Content on AWS (MAE202) - AWS re:Invent 2018Amazon Web Services
Learn how AWS and its partners are helping studios work with the best talent around the world to produce some of the most popular, award-winning content for the big and small screen. We cover several in-depth post-production topics around real-world VFX studio pipelines in this customer-focused session. AWS customers will present their hybrid model architecture for burst cloud compute as well as a cloud-first studio where there is no storage or compute on-premises any more. Fake news, or can this be a reality in 2018?
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.
O caso de negócios da computação em nuvem vai além do custo total de propriedade (TCO). A AWS ajuda as organizações a reduzir seu tempo de lançamento de um produto no mercado e o tempo gasto em trabalhos indiferenciados, bem como a melhorar a disponibilidade da aplicação. Nesta aula, você aprenderá mais sobre o AWS Cloud Value Framework. Esse modelo quantifica não apenas a economia com o TCO, mas também o valor de negócio da agilidade, redução de riscos e eficiência, elementos fundamentais para defender qualquer proposta de mudança. Após essa sessão, você será capaz de descrever os benefícios da nuvem para diferentes partes de sua organização e apresentar um caso de negócios abrangente.
[REPEAT] Deep Learning Applications Using TensorFlow (AIM401-R) - AWS re:Inve...Amazon Web Services
The document provides an overview of Amazon SageMaker and TensorFlow. It discusses how TensorFlow can be used on Amazon SageMaker for deep learning applications. Key points include:
- Amazon SageMaker is a fully managed service that allows users to build, train and deploy machine learning models.
- TensorFlow is an open-source machine learning framework that can be used with Amazon SageMaker.
- Amazon SageMaker supports TensorFlow out of the box with optimized containers for training and inference. This allows users to easily build and deploy TensorFlow models on Amazon SageMaker.
A Deeper Look at How Veeam is Evolving Availability on AWS (STG206-S) - AWS r...Amazon Web Services
Veeam has made significant enhancements to its platform, focusing on the availability of AWS workloads over the past year. Join this technical deep dive where representatives from Veeam demonstrate how the company protects cloud-native workloads on AWS as well as how they back up to and from on-premises environments. They also discuss data protection for VMware Cloud on AWS. Finally, they review the enhancements to Veeam’s Backup and Replication feature set, which now includes cloud mobility to AWS and a cloud archive that leverages Amazon S3 for long-term data retention of backed-up workloads.
The document discusses Amazon WorkSpaces, a managed, secure desktop computing service. It describes how WorkSpaces allows connecting an on-premise Microsoft Active Directory to the cloud to provide remote access to desktops and applications from any device. It also summarizes how the Amazon Active Directory Connector can integrate the on-premise AD with WorkSpaces and other AWS services while applying existing security policies. Finally, it provides an overview of the WorkSpaces pricing models and global availability.
Achieving Business Value with AWS (ENT203-R2) - AWS re:Invent 2018Amazon Web Services
The business case for cloud computing goes beyond total cost of ownership (TCO). In this chalk talk, you learn about the AWS Cloud Value Framework (CVF). This framework quantifies not only TCO savings, but also the value of business agility, operational resilience, and staff productivity, which you can use in building a case for change. After this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive business case.
Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier for customers. It offers a wide variety of compute instances well suited to every imaginable use case, from static websites to high-performance supercomputing on-demand, all available through highly flexible pricing options. This session covers the latest Amazon EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also cover some best practices on how you can optimize your expenditure on Amazon EC2 to make the most of your EC2 instances, saving time and money.
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
AWS, I Choose You: Pokemon's Battle against the Bots (SEC402-R1) - AWS re:Inv...Amazon Web Services
Join us for this advanced-level talk to learn about Pokemon's journey defending against DDoS attacks and bad bots with AWS WAF, AWS Shield, and other AWS services. We go through their initial challenges and the evolution of their bot mitigation solution, which includes offline log analysis and dynamic updates of badbot IPs along with rate-based rules. This is an advanced talk and assumes some knowledge of Amazon DynamoDB, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, AWS Firewall Manager, AWS Shield, and AWS WAF.
Building BMW Group's Customer Engagement Platform on AWS (AMT305) - AWS re:In...Amazon Web Services
In today's "always connected" world, brands must find unique ways to engage customers anywhere, anytime and across an ever-changing variety of formats. Large enterprises are often challenged by aging, monolithic applications that limit their ability to adapt quickly to changes. In this session, the BMW Group discusses how it is using microservices on the AWS Cloud to transform its customer engagement platform. Learn how the company built its Unified Configurator Platform (UCP) to serve 30+ branded customer-facing applications with over 300 RESTful API endpoints using services such as Amazon API Gateway, AWS Lambda, Amazon Elastic Beanstalk, and AWS Elastic Container Service. Additionally, the BMW Group discusses how Game Days and Chaos Monkey methodologies led to the success of the overall program.
Mythical Mysfits: Management and Ops with AWS Fargate (CON322-R1) - AWS re:In...Amazon Web Services
Help our Mythical Mysfits find their forever homes. Our Mythical stack now supports automated deployments. It's now time to take it to the next level. In this workshop, we give you the hands-on experience you need to run microservices in the real world. We focus on optimizations, management, and troubleshooting with AWS Fargate, Amazon CloudWatch, and other common tools. Proficiency in Docker and AWS is recommended. For a more foundational workshop, consider CON214 and CON321, our other workshops in this series.
Amazon DynamoDB is a serverless database for applications that need a flexible data model with high performance at any scale. In this session, we cover newly announced features and provide an end-to-end view of recent innovations. We also share some of our successful customer stories and use cases. Come to this session to learn all about what’s new with DynamoDB!
1) The document discusses Amazon Web Services' machine learning and artificial intelligence services, including Amazon SageMaker, DeepLens, Rekognition, Transcribe, Translate, Polly, Comprehend, and Lex.
2) It provides examples of how customers are using these services for applications like digital assistants, language analysis, computer vision, and more.
3) AWS aims to put machine learning in the hands of every developer by providing a full suite of tools and services across frameworks, training, deployment, and applications.
Deep Dive on Cloud File System Offerings: What to Use, Where, and Why (STG392...Amazon Web Services
The document summarizes Amazon Web Services' portfolio of file storage and data transfer services. It introduces Amazon Elastic File System (EFS), Amazon FSx for Lustre and Windows File Server, AWS Storage Gateway, AWS DataSync, and AWS Transfer for SFTP. The panel of AWS product managers discuss the different services and when each one is best suited for different use cases and workloads. The presentation also highlights some new related sessions at re:Invent that provide more in-depth information on the various services.
Iterating Towards a Cloud-Enabled IT Organization (ENT204-R2) - AWS re:Invent...Amazon Web Services
Transforming your organization and its people to become cloud-natives can be an overwhelming task. Platform teams, operations teams, development teams, and their even their leaders have non-technical challenges to consider and overcome to unlock the maximum value of running their businesses on AWS. In this chalk talk you’ll learn how to combine Amazonian ways of working, organizing, and enabling to kickstart your cloud journey with a “Cloud Foundation Team” and a small number of “Two-Pizza Application Teams”, and also how to then iteratively scale the concepts used to build these initial teams into a fully cloud-enabled IT organization.
Stories from the Frontline: The Best Laid Plans, Gotchas and Business Outcom...Amazon Web Services
Stories from the Frontline: The Best Laid Plans, Gotchas and Business Outcomes of Cloud Migration
Every cloud migration journey has challenging moments. The AWS team will share customer stories and some of the lessons learned from migrating millions of applications to cloud and operating them. Aimed squarely at a business audience, you will hear how to structure your cloud migration program to realise the business benefits of reduced cost, increased agility, and improved stability whilst avoiding some of the pitfalls.
Paul O'Rourke, ANZ ProServe Practice Manager, AWS
Driving DevOps Transformation in Enterprises (DEV320) - AWS re:Invent 2018Amazon Web Services
In this session, learn how AWS is helping enterprises adopt the DevOps model and automation in their journey to the cloud. By using the DevOps principle to treat your infrastructure environments as code, you can automate and easily scale your lifecycle environments. Learn how services like AWS CloudFormation and AWS OpsWorks enable you to automate your instance provisioning and configurations as code, ensuring consistent, compliant, and scalable cloud infrastructure. Understand how OpsWorks is enabling enterprises to accelerate their migration to the cloud, leveraging popular tools like Chef or Puppet and their respective communities. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
Computação de Alta Performance (HPC) na AWS - CMP201 - Sao Paulo SummitAmazon Web Services
A computação de alta performance (HPC) na nuvem permite alta escala computacional e intensivos gráficos de cargas de trabalho em diversos setores, incluindo aeroespacial, manufatura, ciências da vida, serviços financeiros e energia. A AWS fornece aos desenvolvedores de aplicações e usuários um poder computacional sem precedentes para aplicações massivamente paralelas em áreas como fluído de grande escala e simulação de materiais, renderização de conteúdo 3D, computação financeira e deep learning. Nesta sessão, fornecemos uma visão geral dos recursos de HPC na AWS. Descrevemos a mais nova geração de instâncias de computação de uso geral e aceleradas, destacamos casos de uso de clientes e parceiros em todos os setores e discutimos casos de uso de HPC novos e emergentes. Os participantes aprenderão as melhores práticas para executar fluxos de trabalho de HPC na nuvem, incluindo automação e otimização de fluxo de trabalho.
Studio in the Cloud: Producing Content on AWS (MAE202) - AWS re:Invent 2018Amazon Web Services
Learn how AWS and its partners are helping studios work with the best talent around the world to produce some of the most popular, award-winning content for the big and small screen. We cover several in-depth post-production topics around real-world VFX studio pipelines in this customer-focused session. AWS customers will present their hybrid model architecture for burst cloud compute as well as a cloud-first studio where there is no storage or compute on-premises any more. Fake news, or can this be a reality in 2018?
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.
O caso de negócios da computação em nuvem vai além do custo total de propriedade (TCO). A AWS ajuda as organizações a reduzir seu tempo de lançamento de um produto no mercado e o tempo gasto em trabalhos indiferenciados, bem como a melhorar a disponibilidade da aplicação. Nesta aula, você aprenderá mais sobre o AWS Cloud Value Framework. Esse modelo quantifica não apenas a economia com o TCO, mas também o valor de negócio da agilidade, redução de riscos e eficiência, elementos fundamentais para defender qualquer proposta de mudança. Após essa sessão, você será capaz de descrever os benefícios da nuvem para diferentes partes de sua organização e apresentar um caso de negócios abrangente.
[REPEAT] Deep Learning Applications Using TensorFlow (AIM401-R) - AWS re:Inve...Amazon Web Services
The document provides an overview of Amazon SageMaker and TensorFlow. It discusses how TensorFlow can be used on Amazon SageMaker for deep learning applications. Key points include:
- Amazon SageMaker is a fully managed service that allows users to build, train and deploy machine learning models.
- TensorFlow is an open-source machine learning framework that can be used with Amazon SageMaker.
- Amazon SageMaker supports TensorFlow out of the box with optimized containers for training and inference. This allows users to easily build and deploy TensorFlow models on Amazon SageMaker.
A Deeper Look at How Veeam is Evolving Availability on AWS (STG206-S) - AWS r...Amazon Web Services
Veeam has made significant enhancements to its platform, focusing on the availability of AWS workloads over the past year. Join this technical deep dive where representatives from Veeam demonstrate how the company protects cloud-native workloads on AWS as well as how they back up to and from on-premises environments. They also discuss data protection for VMware Cloud on AWS. Finally, they review the enhancements to Veeam’s Backup and Replication feature set, which now includes cloud mobility to AWS and a cloud archive that leverages Amazon S3 for long-term data retention of backed-up workloads.
The document discusses Amazon WorkSpaces, a managed, secure desktop computing service. It describes how WorkSpaces allows connecting an on-premise Microsoft Active Directory to the cloud to provide remote access to desktops and applications from any device. It also summarizes how the Amazon Active Directory Connector can integrate the on-premise AD with WorkSpaces and other AWS services while applying existing security policies. Finally, it provides an overview of the WorkSpaces pricing models and global availability.
Achieving Business Value with AWS (ENT203-R2) - AWS re:Invent 2018Amazon Web Services
The business case for cloud computing goes beyond total cost of ownership (TCO). In this chalk talk, you learn about the AWS Cloud Value Framework (CVF). This framework quantifies not only TCO savings, but also the value of business agility, operational resilience, and staff productivity, which you can use in building a case for change. After this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive business case.
Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier for customers. It offers a wide variety of compute instances well suited to every imaginable use case, from static websites to high-performance supercomputing on-demand, all available through highly flexible pricing options. This session covers the latest Amazon EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also cover some best practices on how you can optimize your expenditure on Amazon EC2 to make the most of your EC2 instances, saving time and money.
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
Accelerate SAP Workloads on AWS High-Memory Instances Powered by Intel (BAP34...Amazon Web Services
Join Lemongrass, an SAP consulting partner, and Intel to learn how a customer in Europe has replatformed its business-critical SAP workloads on high-memory instances to bring more agility and insights-sharing to its business as well as a common support and governance structure that makes its investment future-proof. This session is brought to you by AWS partner, Intel.
AWS, I Choose You: Pokemon's Battle against the Bots (SEC402-R1) - AWS re:Inv...Amazon Web Services
Join us for this advanced-level talk to learn about Pokemon's journey defending against DDoS attacks and bad bots with AWS WAF, AWS Shield, and other AWS services. We go through their initial challenges and the evolution of their bot mitigation solution, which includes offline log analysis and dynamic updates of badbot IPs along with rate-based rules. This is an advanced talk and assumes some knowledge of Amazon DynamoDB, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, AWS Firewall Manager, AWS Shield, and AWS WAF.
Building BMW Group's Customer Engagement Platform on AWS (AMT305) - AWS re:In...Amazon Web Services
In today's "always connected" world, brands must find unique ways to engage customers anywhere, anytime and across an ever-changing variety of formats. Large enterprises are often challenged by aging, monolithic applications that limit their ability to adapt quickly to changes. In this session, the BMW Group discusses how it is using microservices on the AWS Cloud to transform its customer engagement platform. Learn how the company built its Unified Configurator Platform (UCP) to serve 30+ branded customer-facing applications with over 300 RESTful API endpoints using services such as Amazon API Gateway, AWS Lambda, Amazon Elastic Beanstalk, and AWS Elastic Container Service. Additionally, the BMW Group discusses how Game Days and Chaos Monkey methodologies led to the success of the overall program.
Mythical Mysfits: Management and Ops with AWS Fargate (CON322-R1) - AWS re:In...Amazon Web Services
Help our Mythical Mysfits find their forever homes. Our Mythical stack now supports automated deployments. It's now time to take it to the next level. In this workshop, we give you the hands-on experience you need to run microservices in the real world. We focus on optimizations, management, and troubleshooting with AWS Fargate, Amazon CloudWatch, and other common tools. Proficiency in Docker and AWS is recommended. For a more foundational workshop, consider CON214 and CON321, our other workshops in this series.
Amazon DynamoDB is a serverless database for applications that need a flexible data model with high performance at any scale. In this session, we cover newly announced features and provide an end-to-end view of recent innovations. We also share some of our successful customer stories and use cases. Come to this session to learn all about what’s new with DynamoDB!
1) The document discusses Amazon Web Services' machine learning and artificial intelligence services, including Amazon SageMaker, DeepLens, Rekognition, Transcribe, Translate, Polly, Comprehend, and Lex.
2) It provides examples of how customers are using these services for applications like digital assistants, language analysis, computer vision, and more.
3) AWS aims to put machine learning in the hands of every developer by providing a full suite of tools and services across frameworks, training, deployment, and applications.
Deep Dive on Cloud File System Offerings: What to Use, Where, and Why (STG392...Amazon Web Services
The document summarizes Amazon Web Services' portfolio of file storage and data transfer services. It introduces Amazon Elastic File System (EFS), Amazon FSx for Lustre and Windows File Server, AWS Storage Gateway, AWS DataSync, and AWS Transfer for SFTP. The panel of AWS product managers discuss the different services and when each one is best suited for different use cases and workloads. The presentation also highlights some new related sessions at re:Invent that provide more in-depth information on the various services.
Iterating Towards a Cloud-Enabled IT Organization (ENT204-R2) - AWS re:Invent...Amazon Web Services
Transforming your organization and its people to become cloud-natives can be an overwhelming task. Platform teams, operations teams, development teams, and their even their leaders have non-technical challenges to consider and overcome to unlock the maximum value of running their businesses on AWS. In this chalk talk you’ll learn how to combine Amazonian ways of working, organizing, and enabling to kickstart your cloud journey with a “Cloud Foundation Team” and a small number of “Two-Pizza Application Teams”, and also how to then iteratively scale the concepts used to build these initial teams into a fully cloud-enabled IT organization.
Stories from the Frontline: The Best Laid Plans, Gotchas and Business Outcom...Amazon Web Services
Stories from the Frontline: The Best Laid Plans, Gotchas and Business Outcomes of Cloud Migration
Every cloud migration journey has challenging moments. The AWS team will share customer stories and some of the lessons learned from migrating millions of applications to cloud and operating them. Aimed squarely at a business audience, you will hear how to structure your cloud migration program to realise the business benefits of reduced cost, increased agility, and improved stability whilst avoiding some of the pitfalls.
Paul O'Rourke, ANZ ProServe Practice Manager, AWS
How_to_build_your_cloud_enablement_engine_with_the_people_you_already_haveAmazon Web Services
One of the biggest misconceptions we hear from IT leaders is the belief that not having the right people on staff stops you from moving faster, saving money, and expanding your business on the cloud. You already have the people you need to succeed in the cloud, and these highly skilled, experience and dedicated employees have the ability to learn AWS cloud skills and become certified experts. Transforming your talent has a profound impact on workforce productivity and satisfaction, and in this session we will walk through best practices and AWS capabilities to help you along the way.
This document outlines Anupam Mishra's presentation on using AWS services to build a scalable cloud infrastructure and enable fast software delivery through automation. It discusses using AWS Elastic Beanstalk for a basic environment, AWS CodeStar and Code services for continuous integration and delivery, and prebuilt AWS solutions for measuring usage and improving performance. The presentation includes demos of these services.
Governança em escala é um conceito cada vez mais importante para os clientes à medida que eles adotam a nuvem AWS. A governança baseia-se na distribuição de cargas de trabalho em contas separadas e no uso de boas práticas de segurança de acordo com as necessidades dos clientes. Esta sessão abordará como usar dezenas ou até centenas de contas para criar um isolamento entre as cargas de trabalho, com base em padrões de implementação e considerando controle de custos.
Palestrante: MV Ferreira
The AWS Well-Architected Framework enables customers to understand best practices around security, reliability, performance, and cost optimisation when building systems on AWS. This approach helps customers make informed decisions and weigh the pros and cons of application design patterns for the cloud. In this session, you'll learn about the Well-Architected Framework, and the steps you can take to help ensure your solution is Well Architected.
Speaker: Brian Farnhill, Solutions Architect, AWS
1) The document discusses cloud migration strategies and setting up an organization for cloud enablement. It describes the key components of a Cloud Business Office and Cloud Platform Engineering organization.
2) The Cloud Business Office aligns cloud services with customer needs and manages organizational change. Cloud Platform Engineering configures and improves cloud standards and services.
3) An effective way to start a cloud enablement office is to launch a small Cloud Foundation Team and development teams initially, then scale up as the cloud transformation accelerates.
AWS Partner Engagement Opportunities for DoD, Immersion Day Huntsville 2019Amazon Web Services
This document provides an overview of Amazon Web Services (AWS) for a Department of Defense customer in Huntsville, AL. It outlines the roles and responsibilities of AWS, systems integrators, and customers. It also summarizes AWS services, pricing models, support plans, the AWS Partner Network, AWS Marketplace, training options, and annual AWS events. The overall purpose is to educate the customer on how AWS works and how they can utilize AWS capabilities and partnerships.
Learn more about the benefits of streamlining your cloud migrations and optimising the performance and value of your SAP, Oracle, VMware and Windows workloads running on AWS. Also features CP Mining's cloud journey.
Realize Value of Your Microsoft Investments - Transformation Day Montreal 2018Amazon Web Services
This document discusses how AWS can help customers optimize their Microsoft investments and realize value. It provides an overview of why customers choose AWS for their Microsoft workloads and how AWS supports a wide range of Windows and .NET workloads. The document also discusses strategies for migrating Microsoft workloads to AWS, optimizing Microsoft licensing costs, and leveraging tools and partners to accelerate migration.
A Multi-Company Perspective: Enterprise Cloud and PaaSThoughtworks
Tech communities are always abuzz with the potential of Platform as a Service (PaaS). The promised ability to slash delivery times, allowing teams to iterate and release new features faster, has a growing number of organisations looking to implement PaaS in 2016.
In this presentation, industry leaders provide insights from the trenches by letting us enter the world of Cloud applications automation and PaaS. We also get a glimpse into why and how PaaS is widely adopted, as well as appreciate its constructs and challenges.
Further more, you can learn how build your delivery platform around AWS services, CloudFoundry or OpenShift and reflect on how best to create internal cloud and PaaS capabilities to change the way your organisation delivers software.
Reduce Costs and Build a Strong Operational Foundation with the AWS Migration...Amazon Web Services
Speaker: Romulo Gapuz, Solutions Architect, AWS
Up to 80% of enterprise IT budgets are spent on maintaining existing workloads and keeping the lights on versus focusing on new products and services to better serve customers. Migrating existing workloads to the cloud provide a lever to do that, providing efficiencies and benefits on your existing workloads.
What if you could focus your attention and resources on differentiating your company in the marketplace? What if you could innovate at startup-like speed? And finally, what if you could dramatically reduce the risks inherent in your present infrastructure?
The Executive Security Simulation takes senior security management and IT/business executive teams through an experiential exercise that illuminates key decision points for a successful and secure cloud journey. During this team-based, game-like competitive simulation, participants leverage an industry case study to make strategic security, risk, and compliance time-based decisions and investments. Participants experience the impact of these investments and decisions on the critical aspects of their secure cloud adoption. Join this workshop to gain an understanding of the major success factors to lead security, risk, and compliance in the cloud, and learn applicable decision and investment approaches to specific secure cloud adoption journeys. AWS facilitators translate lessons learned in the simulation into real-life examples and practical advice for your team.
This document discusses enterprise modernization and moving from legacy to digital architectures. It describes how Cox Automotive modernized their systems by refactoring legacy infrastructure onto AWS and decomposing monolithic applications. The modernization approach involved slicing monoliths into microservices, building a data platform, and establishing an enablement framework to develop skills. Modernization delivered benefits like increased business agility, cost savings, and higher developer productivity.
Independientemente de que usted sea un banco inversor mundial o una startup emergente del sector tecnológico-financiero, AWS puede ayudarlo a reinventar y optimizar su relación con la tecnología para disminuir los plazos de ingreso al mercado, automatizar y fortalecer la seguridad, aumentar los beneficios de los accionistas, mejorar las experiencias de los clientes y reducir los costos.
Do you need the how-to for cloud best practices? AWS Well-Architected is actionable guidance for architecting systems in the cloud based on AWS’s unparalleled 14 years of public cloud experience with many of the world’s most amazing companies.
AWS Well-Architected helps cloud architects build secure, high-performing, resilient, and efficient cloud infrastructure for their applications and workloads. And, it empowers business results like reduced costs or security and compliance risk, improved reliability of core systems for better customer experiences, and much more.
During this live session, you’ll learn:
What AWS Well-Architected is and how to use it.
Amazing customer results from AWS Well-Architected.
What’s new — including a deep dive on Cloud Financial Management: Functional Ownership, Finance and Technology Partnership, Cloud Budgets and Forecasts, Cost-Aware Processes, Cost-Aware Culture, Quantifying Business Value Delivered Through Cost Optimization.
This session is most appropriate for CCoE lead, cloud infrastructure management, DevOps engineering management, DevOps and cloud practice leads, chief architects, solutions architects.
An Agile Approach to Cloud Adoption_AWSPSSummit_SingaporeAmazon Web Services
The document discusses an agile approach to cloud adoption. It highlights key benefits of moving to the cloud like digital transformation, resilience and availability, speed and agility, future investment opportunities, and cost optimization. It also provides an overview of Amazon Web Services' core services across compute, storage, databases, networking, analytics, machine learning, IoT, mobile services, and security.
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.
With Traditional IT challenged to meet these demands, Businesses and their Development teams have started consuming directly from the cloud, creating additional burden for their teams along the way.
When software engineering teams take on the “full-stack” they either trade off development time to address risk, or they may leave risk unaddressed, weakening the organizations risk posture. Both choices erode their ability to sustainably deliver customer and business value.
Optimize your development organization to deliver agility and value at cloud-scale by creating a Cloud Center of Excellence that programmatically mitigates risk and enables teams to self-service.
By creating a dedicated, balanced product teams of Business, Design, Engineering, and Operations disciplines, end-to-end accountability is established.
Multiple roles are required to extend a Product Operating Model to encompass the Business, Governance, People, and Platform components necessary to scale cloud adoption.
During the exercises, the magnets stand in for the roles. Letters are added with dry-erase markers
Panel 3 establishes what we want our MVP product teams: the CCE foundation team.
▾ High-Level Value Stream of
▾ Business Ideation, High-Level Design, Prioritization, & Funding
▾ How do business ideas get generated?
• Who?
• When?
• How long?
▾ Do you create a high-level design (requirements)?
• Who?
• When?
• How long?
▾ How do business ideas and cases get approved and funded?
• Who?
• When?
• How long?
▾ How do detailed designs get created and approved? (UX, CX, Functional, Architecture, Tech Stack)
• Who?
• When?
• How long?
▾ Software Build and Release
▾ How do you write and build software?
• Who?
• When?
• How long? (typical release cadence / cycle time)
▾ How do you test/ensure software quality?
• What kind of testing do you do? (unit, TDD, integration, end-user, performance, etc…)
• Who?
• When?
• How long?
▾ Platform
▾ How do you determine what infrastructure is needed to support the application?
• Who?
• When?
• How long?
▾ Domains to cover:
• Compute
• Network
• Storage
• Middleware
• App Runtime
• Database
▾ How do you provision the above infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do changes to the environment get reviewed and approved for release?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How does software get deployed to your infrastructure/platform?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you ensure security and compliance of the application and its infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you react to and resolve incidents?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
This is an example of a fully loaded Foundation team and Business Application team.
Customer answers will differ according to priorities and resource availability.
▾ High-Level Value Stream of
▾ Business Ideation, High-Level Design, Prioritization, & Funding
▾ How do business ideas get generated?
• Who?
• When?
• How long?
▾ Do you create a high-level design (requirements)?
• Who?
• When?
• How long?
▾ How do business ideas and cases get approved and funded?
• Who?
• When?
• How long?
▾ How do detailed designs get created and approved? (UX, CX, Functional, Architecture, Tech Stack)
• Who?
• When?
• How long?
▾ Software Build and Release
▾ How do you write and build software?
• Who?
• When?
• How long? (typical release cadence / cycle time)
▾ How do you test/ensure software quality?
• What kind of testing do you do? (unit, TDD, integration, end-user, performance, etc…)
• Who?
• When?
• How long?
▾ Platform
▾ How do you determine what infrastructure is needed to support the application?
• Who?
• When?
• How long?
▾ Domains to cover:
• Compute
• Network
• Storage
• Middleware
• App Runtime
• Database
▾ How do you provision the above infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do changes to the environment get reviewed and approved for release?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How does software get deployed to your infrastructure/platform?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you ensure security and compliance of the application and its infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you react to and resolve incidents?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
This is an example of a fully loaded Foundation team and Business Application team.
Customer answers will differ according to priorities and resource availability.
▾ High-Level Value Stream of
▾ Business Ideation, High-Level Design, Prioritization, & Funding
▾ How do business ideas get generated?
• Who?
• When?
• How long?
▾ Do you create a high-level design (requirements)?
• Who?
• When?
• How long?
▾ How do business ideas and cases get approved and funded?
• Who?
• When?
• How long?
▾ How do detailed designs get created and approved? (UX, CX, Functional, Architecture, Tech Stack)
• Who?
• When?
• How long?
▾ Software Build and Release
▾ How do you write and build software?
• Who?
• When?
• How long? (typical release cadence / cycle time)
▾ How do you test/ensure software quality?
• What kind of testing do you do? (unit, TDD, integration, end-user, performance, etc…)
• Who?
• When?
• How long?
▾ Platform
▾ How do you determine what infrastructure is needed to support the application?
• Who?
• When?
• How long?
▾ Domains to cover:
• Compute
• Network
• Storage
• Middleware
• App Runtime
• Database
▾ How do you provision the above infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do changes to the environment get reviewed and approved for release?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How does software get deployed to your infrastructure/platform?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you ensure security and compliance of the application and its infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you react to and resolve incidents?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
This is an example of a the scaling of the Foundation team.
Customer answers will differ according to priorities and resource availability.
▾ High-Level Value Stream of
▾ Business Ideation, High-Level Design, Prioritization, & Funding
▾ How do business ideas get generated?
• Who?
• When?
• How long?
▾ Do you create a high-level design (requirements)?
• Who?
• When?
• How long?
▾ How do business ideas and cases get approved and funded?
• Who?
• When?
• How long?
▾ How do detailed designs get created and approved? (UX, CX, Functional, Architecture, Tech Stack)
• Who?
• When?
• How long?
▾ Software Build and Release
▾ How do you write and build software?
• Who?
• When?
• How long? (typical release cadence / cycle time)
▾ How do you test/ensure software quality?
• What kind of testing do you do? (unit, TDD, integration, end-user, performance, etc…)
• Who?
• When?
• How long?
▾ Platform
▾ How do you determine what infrastructure is needed to support the application?
• Who?
• When?
• How long?
▾ Domains to cover:
• Compute
• Network
• Storage
• Middleware
• App Runtime
• Database
▾ How do you provision the above infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do changes to the environment get reviewed and approved for release?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How does software get deployed to your infrastructure/platform?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you ensure security and compliance of the application and its infrastructure?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
▾ How do you react to and resolve incidents?
• Who?
• When?
• How long?
• Differences between dev, test, stage, and production?
Moving to the cloud can be challenging. Knowing that, we ask this of customers so that the transition will be smoother.
-Dedicated Resources
-Decision Authority
-Cross Functional
-Physically Co-Located
Here are additional assumptions that are related to starting a CCoE:
-CCOE is a net-new, added function
-Customer must form and sustain the core
-AWS and third parties may staff the balance
-Resources will ramp in phases, and transition to customer in the future
-Will also need to account for up-skilling existing teams/capabilities:Operations, Support, Help Desk, BizOps, Training, etc.