Amazon Fulfillment Technologies migrated their inventory management systems from Oracle databases to Amazon Aurora PostgreSQL databases. This was a complex migration involving over 300 Oracle databases with stringent latency requirements. The migration involved preparing databases, migrating data using AWS Database Migration Service, and optimizing the databases post-migration, including configuring auto vacuum and monitoring performance with CloudWatch.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. 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.
Designing for Operability: Getting the Last Nines in Five-Nines Availability ...Amazon Web Services
In this workshop, we show how common operation procedures can actually reduce availability. We then share examples of design and planning for operations that can improve your availability.
CI/CD for Serverless and Containerized Applications (DEV309-R1) - AWS re:Inve...Amazon Web Services
To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
Control for Your Cloud Environment Using AWS Management Tools (ENT226-R1) - A...Amazon Web Services
As customers migrate to the cloud, IT needs to maintain structured compliance and governance while providing developers with the flexibility to manage cloud resources at scale. In this session, learn how AWS management tools provide a set of services to track changes to resources, audit actions, manage change, and gain insights. We also show how you can use built-in safety controls to automatically perform actions and remediation across multiple regions and accounts. This session is beneficial to IT and system administrators who are interested in using native AWS tools to operate secure and compliant infrastructure on AWS.
The New Normal for Mission-Critical SAP Workloads (ENT219-R1) - AWS re:Invent...Amazon Web Services
In order to increase business agility, drive transformation, and reduce costs, enterprise customers are moving their entire SAP landscapes to AWS. Examples of enterprise customers running their core businesses on AWS include: AIG, BP, BMS, Brooks Brothers, and Zappos. In this session, hear why thousands of customers are running SAP workloads on AWS, and understand how AWS helps Fortune 500 companies migrate and transform their environments accelerate greater innovation with AWS.
Best Practices for Centrally Monitoring Resource Configuration & Compliance (...Amazon Web Services
Do you want to have a strong understanding of governance across all of your AWS accounts? Are you struggling to get centralized visibility across your entire organization? Join us in this session as we explore AWS Config, a service that enables centralized governance and resource monitoring. Learn best practices for enabling governance policies through a central account across multiple accounts in your organization, and monitor their compliance status using the multi-account, multi-region data aggregation capability. Also learn about recent launches and how customers are using AWS Config in their enterprises today.
Leadership Session: Using DevOps, Microservices, and Serverless to Accelerate...Amazon Web Services
In this session, learn how AWS can help you innovate faster with DevOps, microservices, and serverless. Join us for a rare and intimate discussion with AWS senior leaders: David Richardson, VP of Serverless, Ken Exner, director of AWS Developer Tools, and Deepak Singh, director of Compute Services, Containers, and Linux. Hear them share development best practices and discuss key learnings from building modern applications at Amazon.com. Also, learn how developers can leverage containers, AWS Lambda, and developer tools to build and run production applications in the cloud.
Optimize Performance and Reduce Risk Using AWS Support Tools (ENT316-R1) - AW...Amazon Web Services
To help manage the risk of downtime, AWS Support offers tools, such as Personal Health Dashboard (PHD) and Trusted Advisor (TA), that enable you to monitor your environments and automate actions for compliance with best practices. In this session, we review how AWS Support tools monitor your resources, provide alerts for issues, and automate best practice recommendations and remediation. We also showcase the integration of these tools with Alexa for Business to make it easier to access information about your AWS environment just by asking Alexa. Join us to see how you can optimize your AWS environment and reduce risk by implementing automation of AWS best practice recommendations from with AWS Support tools. Bring your own laptop.
Operationalizing Microsoft Workloads (WIN320) - AWS re:Invent 2018Amazon Web Services
In this session, we discuss best practices and approaches for managing your Microsoft Windows-based infrastructure on AWS. We describe the AWS services that can help you manage Windows servers at scale and realize the maximum benefit of the cloud. In addition, we show you how to build simple and effective solutions to manage logging, configuration drift, inventory, licensing, and more. 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.
Designing for Operability: Getting the Last Nines in Five-Nines Availability ...Amazon Web Services
In this workshop, we show how common operation procedures can actually reduce availability. We then share examples of design and planning for operations that can improve your availability.
CI/CD for Serverless and Containerized Applications (DEV309-R1) - AWS re:Inve...Amazon Web Services
To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
Control for Your Cloud Environment Using AWS Management Tools (ENT226-R1) - A...Amazon Web Services
As customers migrate to the cloud, IT needs to maintain structured compliance and governance while providing developers with the flexibility to manage cloud resources at scale. In this session, learn how AWS management tools provide a set of services to track changes to resources, audit actions, manage change, and gain insights. We also show how you can use built-in safety controls to automatically perform actions and remediation across multiple regions and accounts. This session is beneficial to IT and system administrators who are interested in using native AWS tools to operate secure and compliant infrastructure on AWS.
The New Normal for Mission-Critical SAP Workloads (ENT219-R1) - AWS re:Invent...Amazon Web Services
In order to increase business agility, drive transformation, and reduce costs, enterprise customers are moving their entire SAP landscapes to AWS. Examples of enterprise customers running their core businesses on AWS include: AIG, BP, BMS, Brooks Brothers, and Zappos. In this session, hear why thousands of customers are running SAP workloads on AWS, and understand how AWS helps Fortune 500 companies migrate and transform their environments accelerate greater innovation with AWS.
Best Practices for Centrally Monitoring Resource Configuration & Compliance (...Amazon Web Services
Do you want to have a strong understanding of governance across all of your AWS accounts? Are you struggling to get centralized visibility across your entire organization? Join us in this session as we explore AWS Config, a service that enables centralized governance and resource monitoring. Learn best practices for enabling governance policies through a central account across multiple accounts in your organization, and monitor their compliance status using the multi-account, multi-region data aggregation capability. Also learn about recent launches and how customers are using AWS Config in their enterprises today.
Leadership Session: Using DevOps, Microservices, and Serverless to Accelerate...Amazon Web Services
In this session, learn how AWS can help you innovate faster with DevOps, microservices, and serverless. Join us for a rare and intimate discussion with AWS senior leaders: David Richardson, VP of Serverless, Ken Exner, director of AWS Developer Tools, and Deepak Singh, director of Compute Services, Containers, and Linux. Hear them share development best practices and discuss key learnings from building modern applications at Amazon.com. Also, learn how developers can leverage containers, AWS Lambda, and developer tools to build and run production applications in the cloud.
Optimize Performance and Reduce Risk Using AWS Support Tools (ENT316-R1) - AW...Amazon Web Services
To help manage the risk of downtime, AWS Support offers tools, such as Personal Health Dashboard (PHD) and Trusted Advisor (TA), that enable you to monitor your environments and automate actions for compliance with best practices. In this session, we review how AWS Support tools monitor your resources, provide alerts for issues, and automate best practice recommendations and remediation. We also showcase the integration of these tools with Alexa for Business to make it easier to access information about your AWS environment just by asking Alexa. Join us to see how you can optimize your AWS environment and reduce risk by implementing automation of AWS best practice recommendations from with AWS Support tools. Bring your own laptop.
Best Practices for Safe Deployments on AWS Lambda and Amazon API Gateway (SRV...Amazon Web Services
Deploying frequently is fundamental to reduce the feedback loop and increase developer productivity. There are multiple features available in AWS Lambda, Amazon API Gateway and AWS SAM that can be used to implement a continuous deployment pipeline using safe deployment strategies such as canary releases. In this session, we'll review the possible options applied to different scenarios such as microservices architectures, chaos engineering, and A/B testing, to find out the best practices for your use cases. You will also hear how teams at Capital One created a deployment pipeline using AWS SAM and AWS CodeDeploy for canary deployments for the Capital One Credit Offers API, which is built on Golang and AWS Lambda.
Set Up Compliance Automation Using AWS Management Tools (SEC317) - AWS re:Inv...Amazon Web Services
In this workshop, learn how to detect common resource misconfigurations using AWS Config, AWS CloudTrail and Amazon CloudWatch. Learn how to author custom AWS Config rules using our Rule Development Kit, and learn how to automatically remediate compliance violations when they are detected.
Resiliency Testing: Verify That Your System Is as Reliable as You Think (ARC4...Amazon Web Services
In this workshop, we illustrate how to set up your own resiliency testing. We set up a simple three-tier architecture and explore the failure modes with Bash and Python scripts. To participate, you need an account that can run AWS CloudFormation, AWS Step Functions, AWS Lambda, Application Load Balancers, Amazon EC2, Amazon RDS (MySQL), and the AWS Database Migration Service, and Route53.
“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.
This document provides an overview of AWS Fargate. It begins with introductions to containers and microservices. It describes how containers and microservices are well-suited to each other due to their ability to deploy and scale services independently. The document then discusses container orchestration tools and the options on AWS. It focuses on AWS Fargate, describing its key advantages of having no infrastructure to manage, ability to quickly launch and easily scale containers, and resource-based pricing. Fargate allows developers to focus just on their application without having to manage servers or clusters.
From Monolith to Modern Apps: Best Practices (SRV322-R2) - AWS re:Invent 2018Amazon Web Services
We are a lean team consisting of developers, lead architects, business analysts, and a project manager. To scale our applications and optimize costs, we need to reduce the amount of undifferentiated heavy lifting (e.g., patching, server management) from our projects. We have identified AWS serverless services that we will use. However, we need approval from a security and cost perspective. We need to build a business case to justify this paradigm shift for our entire technology organization. In this session, we learn to migrate existing applications and build a strategy and financial model to lay the foundation to build everything in a truly serverless way on AWS.
Leveraging the AWS Cloud Adoption Framework to Build Your Cloud Action Plan (...Amazon Web Services
The document describes a workshop on using the AWS Cloud Adoption Framework (AWS CAF) to develop a cloud action plan. The workshop guides participants through activities to identify challenges to cloud adoption, organize them by stakeholder perspective, identify themes among the challenges, classify them as knowledge or process gaps, and develop actions to address the challenges. The goal is for participants to start populating an action plan grid to guide initial steps in addressing key adoption challenges over the next 2-4 weeks.
Petabyte-Scale Migration to Amazon S3 Building Photobox's Data Lake (STG393) ...Amazon Web Services
Large-scale migration to the cloud can be complex and time-consuming. AWS solutions, like AWS Snowball, AWS Snowball Edge, and AWS Snowmobile, help customers move petabytes of data cost-effectively and without saturating a network connection for months at a time. In this chalk talk, hear about a real-world scenario with AWS customer, Photobox, Europe's leading provider of photobooks and other personalized items, which migrated over 10 PB of data to Amazon S3 and Amazon Glacier using Snowball Edge to build its data lake. The technical architects responsible for this migration are available to answer detailed questions.
Your road to a Well Architected solution in the Cloud - Tel Aviv Summit 2018Amazon Web Services
The document discusses how the Well-Architected framework from AWS was used to help a customer transition their 20+ year old technology to the AWS cloud. It describes the challenges the customer faced with their on-premises infrastructure and how the Well-Architected pillars of security, reliability, performance efficiency, cost optimization, and operational excellence were applied. Examples are given for how tools like EC2, S3, CloudFormation, and Trusted Advisor can help optimize infrastructure for reliability, security, costs and operations on AWS.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Lifecycle Management of Amazon WorkSpaces Using the AWS Service Catalog Conne...Amazon Web Services
In this builder session, cloud architects, desktop managers, and ITSM leads learn how to use the AWS Service Catalog Connector to launch, operate, and manage Amazon WorkSpaces in ServiceNow. You also learn how to enable Amazon WorkSpaces user self-service capabilities, such as reboot and rebuild. You can use the capabilities and learn to build a governance and management framework for your Amazon WorkSpaces environment that incorporates self-service capabilities to reduce your management overhead.
Many organizations that embark on a journey to the cloud view their effort as an opportunity to transform their outdated operations and development practices. DevOps, Agile software development, and Design Thinking are the popular methodologies used today to successfully speed the delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of each method and provide tips on how to navigate common challenges when adopting these methods during a cloud migration.
The document discusses building real-time serverless backends with GraphQL. It introduces serverless computing on AWS Lambda and shows how AWS AppSync can be used to build applications that support GraphQL queries, mutations, and subscriptions across various data sources. It also discusses how AWS AppSync supports offline capabilities through features like conflict resolution and optimistic UI updates.
Continuous Integration Best Practices (DEV319-R1) - AWS re:Invent 2018Amazon Web Services
Today, more teams are adopting continuous integration (CI) techniques to enable collaboration, increase agility, and deliver a high-quality product faster. Cloud-based development tools such as AWS CodeCommit and AWS CodeBuild can enable teams to easily adopt CI practices without the need to manage infrastructure. In this session, we showcase best practices for code reviews and continuous integration, drawing on practices used by Amazon engineering teams. We’ll incorporate demos to not just explain the practices but show you how.
All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...Amazon Web Services
ALDO wanted to improve in-store customer experience by offering rapid personalized assistance. In this session, follow ALDO’s journey in adopting GraphQL and serverless technologies for their in-store modern apps. Learn how this global fashion brand is offering elevated real-time, personalized customer experiences while optimizing in-store retail operations. Hear how they integrated with their existing infrastructure, along with other challenges. They also share best practices that they are carrying forward for future apps.
ENT202 Breaking Barriers: Move Enterprise SAP Customers to SAP HANA on AWS in...Amazon Web Services
1) Del Monte migrated their SAP environment from a virtual private cloud to AWS with Accenture's help. This included 3 landscapes running on AWS - Dev, QA, and production - with around 50 servers and 25 TB of data migrated.
2) The migration was completed without any business disruption and resulted in a highly stable environment for their SAP applications on AWS.
3) Moving forward, Del Monte plans to take advantage of AWS capabilities like improved disaster recovery across regions, ongoing standardization and automation for greater efficiencies, and new analytical and IoT services to continue innovating on AWS.
SPEKE-ing of Content Protection & DRM (MAE302) - AWS re:Invent 2018Amazon Web Services
Encrypting high-value content has long been a challenge for media customers. The number of digital rights management (DRM) schemes, transcoding and packaging vendors, and packaging formats created hundreds of potential integration points, each requiring extensive engineering resources and time. The Secure Packager and Encoder Key Exchange (SPEKE) is a single, open REST API specification for authentication and key exchange between DRM platforms and encryptors (transcoders and packagers) that reduces the number of integration points and accelerates time-to-market for customers for on-premises, hybrid, and cloud video workflows. In this session, learn about the SPEKE API and the Content Protection Information Exchange (CPIX) format, and how SPEKE establishes secure key exchange using Amazon API Gateway, document encryption, IAM roles, and Signature Version 4 signing for live and file-based video workflows.
This document discusses cloud operations on AWS. It provides an overview of the Well-Architected Operational Excellence pillar and how it can help with designing operations. It also summarizes AWS services like Enterprise Support's Cloud Operations Review, Professional Services' Operations Integration, and AWS Managed Services that can assist with operations. Case studies are presented on how NASA and GE Health Cloud improved their operations with AWS.
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.
Ripping off the Bandage: Re-Architecting Traditional Three-Tier Monoliths to ...Amazon Web Services
The world is powered by many monolithic applications that were written many years ago. These applications have complicated code bases. They are also difficult to maintain, deploy, and operate. The cloud, microservices, and serverless provide agility, efficiency, and resiliency. In this chalk talk, we highlight various approaches for rearchitecting three-tier monoliths to serverless microservices for your customers.
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Best Practices for Safe Deployments on AWS Lambda and Amazon API Gateway (SRV...Amazon Web Services
Deploying frequently is fundamental to reduce the feedback loop and increase developer productivity. There are multiple features available in AWS Lambda, Amazon API Gateway and AWS SAM that can be used to implement a continuous deployment pipeline using safe deployment strategies such as canary releases. In this session, we'll review the possible options applied to different scenarios such as microservices architectures, chaos engineering, and A/B testing, to find out the best practices for your use cases. You will also hear how teams at Capital One created a deployment pipeline using AWS SAM and AWS CodeDeploy for canary deployments for the Capital One Credit Offers API, which is built on Golang and AWS Lambda.
Set Up Compliance Automation Using AWS Management Tools (SEC317) - AWS re:Inv...Amazon Web Services
In this workshop, learn how to detect common resource misconfigurations using AWS Config, AWS CloudTrail and Amazon CloudWatch. Learn how to author custom AWS Config rules using our Rule Development Kit, and learn how to automatically remediate compliance violations when they are detected.
Resiliency Testing: Verify That Your System Is as Reliable as You Think (ARC4...Amazon Web Services
In this workshop, we illustrate how to set up your own resiliency testing. We set up a simple three-tier architecture and explore the failure modes with Bash and Python scripts. To participate, you need an account that can run AWS CloudFormation, AWS Step Functions, AWS Lambda, Application Load Balancers, Amazon EC2, Amazon RDS (MySQL), and the AWS Database Migration Service, and Route53.
“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.
This document provides an overview of AWS Fargate. It begins with introductions to containers and microservices. It describes how containers and microservices are well-suited to each other due to their ability to deploy and scale services independently. The document then discusses container orchestration tools and the options on AWS. It focuses on AWS Fargate, describing its key advantages of having no infrastructure to manage, ability to quickly launch and easily scale containers, and resource-based pricing. Fargate allows developers to focus just on their application without having to manage servers or clusters.
From Monolith to Modern Apps: Best Practices (SRV322-R2) - AWS re:Invent 2018Amazon Web Services
We are a lean team consisting of developers, lead architects, business analysts, and a project manager. To scale our applications and optimize costs, we need to reduce the amount of undifferentiated heavy lifting (e.g., patching, server management) from our projects. We have identified AWS serverless services that we will use. However, we need approval from a security and cost perspective. We need to build a business case to justify this paradigm shift for our entire technology organization. In this session, we learn to migrate existing applications and build a strategy and financial model to lay the foundation to build everything in a truly serverless way on AWS.
Leveraging the AWS Cloud Adoption Framework to Build Your Cloud Action Plan (...Amazon Web Services
The document describes a workshop on using the AWS Cloud Adoption Framework (AWS CAF) to develop a cloud action plan. The workshop guides participants through activities to identify challenges to cloud adoption, organize them by stakeholder perspective, identify themes among the challenges, classify them as knowledge or process gaps, and develop actions to address the challenges. The goal is for participants to start populating an action plan grid to guide initial steps in addressing key adoption challenges over the next 2-4 weeks.
Petabyte-Scale Migration to Amazon S3 Building Photobox's Data Lake (STG393) ...Amazon Web Services
Large-scale migration to the cloud can be complex and time-consuming. AWS solutions, like AWS Snowball, AWS Snowball Edge, and AWS Snowmobile, help customers move petabytes of data cost-effectively and without saturating a network connection for months at a time. In this chalk talk, hear about a real-world scenario with AWS customer, Photobox, Europe's leading provider of photobooks and other personalized items, which migrated over 10 PB of data to Amazon S3 and Amazon Glacier using Snowball Edge to build its data lake. The technical architects responsible for this migration are available to answer detailed questions.
Your road to a Well Architected solution in the Cloud - Tel Aviv Summit 2018Amazon Web Services
The document discusses how the Well-Architected framework from AWS was used to help a customer transition their 20+ year old technology to the AWS cloud. It describes the challenges the customer faced with their on-premises infrastructure and how the Well-Architected pillars of security, reliability, performance efficiency, cost optimization, and operational excellence were applied. Examples are given for how tools like EC2, S3, CloudFormation, and Trusted Advisor can help optimize infrastructure for reliability, security, costs and operations on AWS.
Building Serverless Analytics Solutions with Amazon QuickSight (ANT391) - AWS...Amazon Web Services
Querying and analyzing big data can be complicated and expensive. It requires you to setup and manage databases, data warehouses, and business intelligence (BI) applications—all of which require time, effort, and resources. Using Amazon Athena and Amazon QuickSight, you can avoid the cost and complexity by creating a fast, scalable, and serverless cloud analytics solution without the need to invest in databases, data warehouses, complex ETL solutions, and BI applications. In this session, we demonstrate how you can build a serverless big data analytics solution using Amazon Athena and Amazon QuickSight.
Lifecycle Management of Amazon WorkSpaces Using the AWS Service Catalog Conne...Amazon Web Services
In this builder session, cloud architects, desktop managers, and ITSM leads learn how to use the AWS Service Catalog Connector to launch, operate, and manage Amazon WorkSpaces in ServiceNow. You also learn how to enable Amazon WorkSpaces user self-service capabilities, such as reboot and rebuild. You can use the capabilities and learn to build a governance and management framework for your Amazon WorkSpaces environment that incorporates self-service capabilities to reduce your management overhead.
Many organizations that embark on a journey to the cloud view their effort as an opportunity to transform their outdated operations and development practices. DevOps, Agile software development, and Design Thinking are the popular methodologies used today to successfully speed the delivery of new products and features and create a more customer-centric mindset. In this session, we break down the essential components of each method and provide tips on how to navigate common challenges when adopting these methods during a cloud migration.
The document discusses building real-time serverless backends with GraphQL. It introduces serverless computing on AWS Lambda and shows how AWS AppSync can be used to build applications that support GraphQL queries, mutations, and subscriptions across various data sources. It also discusses how AWS AppSync supports offline capabilities through features like conflict resolution and optimistic UI updates.
Continuous Integration Best Practices (DEV319-R1) - AWS re:Invent 2018Amazon Web Services
Today, more teams are adopting continuous integration (CI) techniques to enable collaboration, increase agility, and deliver a high-quality product faster. Cloud-based development tools such as AWS CodeCommit and AWS CodeBuild can enable teams to easily adopt CI practices without the need to manage infrastructure. In this session, we showcase best practices for code reviews and continuous integration, drawing on practices used by Amazon engineering teams. We’ll incorporate demos to not just explain the practices but show you how.
All About the Customer: GraphQL & Real-Time Subscriptions in Customer Service...Amazon Web Services
ALDO wanted to improve in-store customer experience by offering rapid personalized assistance. In this session, follow ALDO’s journey in adopting GraphQL and serverless technologies for their in-store modern apps. Learn how this global fashion brand is offering elevated real-time, personalized customer experiences while optimizing in-store retail operations. Hear how they integrated with their existing infrastructure, along with other challenges. They also share best practices that they are carrying forward for future apps.
ENT202 Breaking Barriers: Move Enterprise SAP Customers to SAP HANA on AWS in...Amazon Web Services
1) Del Monte migrated their SAP environment from a virtual private cloud to AWS with Accenture's help. This included 3 landscapes running on AWS - Dev, QA, and production - with around 50 servers and 25 TB of data migrated.
2) The migration was completed without any business disruption and resulted in a highly stable environment for their SAP applications on AWS.
3) Moving forward, Del Monte plans to take advantage of AWS capabilities like improved disaster recovery across regions, ongoing standardization and automation for greater efficiencies, and new analytical and IoT services to continue innovating on AWS.
SPEKE-ing of Content Protection & DRM (MAE302) - AWS re:Invent 2018Amazon Web Services
Encrypting high-value content has long been a challenge for media customers. The number of digital rights management (DRM) schemes, transcoding and packaging vendors, and packaging formats created hundreds of potential integration points, each requiring extensive engineering resources and time. The Secure Packager and Encoder Key Exchange (SPEKE) is a single, open REST API specification for authentication and key exchange between DRM platforms and encryptors (transcoders and packagers) that reduces the number of integration points and accelerates time-to-market for customers for on-premises, hybrid, and cloud video workflows. In this session, learn about the SPEKE API and the Content Protection Information Exchange (CPIX) format, and how SPEKE establishes secure key exchange using Amazon API Gateway, document encryption, IAM roles, and Signature Version 4 signing for live and file-based video workflows.
This document discusses cloud operations on AWS. It provides an overview of the Well-Architected Operational Excellence pillar and how it can help with designing operations. It also summarizes AWS services like Enterprise Support's Cloud Operations Review, Professional Services' Operations Integration, and AWS Managed Services that can assist with operations. Case studies are presented on how NASA and GE Health Cloud improved their operations with AWS.
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.
Ripping off the Bandage: Re-Architecting Traditional Three-Tier Monoliths to ...Amazon Web Services
The world is powered by many monolithic applications that were written many years ago. These applications have complicated code bases. They are also difficult to maintain, deploy, and operate. The cloud, microservices, and serverless provide agility, efficiency, and resiliency. In this chalk talk, we highlight various approaches for rearchitecting three-tier monoliths to serverless microservices for your customers.
Under the Hood: How Amazon Uses AWS Services for Analytics at a Massive Scale...Amazon Web Services
As Amazon's consumer business continues to grow, so does the volume of data and the number and complexity of the analytics done in support of the business. In this session, we talk about how Amazon.com uses AWS technologies to build a scalable environment for data and analytics. We look at how Amazon is evolving the world of data warehousing with a combination of a data lake and parallel, scalable compute engines, such as Amazon EMR and Amazon Redshift.
The document discusses strategies for migrating databases to the cloud. It begins by outlining objectives and factors that contribute to successful database migration projects. It then covers various migration options like rehosting, replatforming, or rearchitecting databases. The document also discusses tools like the Schema Conversion Tool (SCT) and Database Migration Service (DMS) that can assist with assessment, conversion between database engines, and migrating data between on-premises and cloud databases. The overall process involves planning, assessment, executing the migration in phases, and testing.
Data Transformation Patterns in AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn how to accelerate common data transformations from a variety of data
- Learn how to efficiently orchestrate transformation jobs
- Learn best practices and methodologies in data preparation for analytics
Building a Modern Data Warehouse - Deep Dive on Amazon RedshiftAmazon Web Services
Osemeke Isibor, Solutions Architect, AWS
In this session, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Redshift Spectrum, a feature of Redshift that enables you to analyze data across Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos.
Architecting for Real-Time Insights with Amazon Kinesis (ANT310) - AWS re:Inv...Amazon Web Services
Amazon Kinesis makes it easy to speed up the time it takes for you to get valuable, real-time insights from your streaming data. In this session, we walk through the most popular applications that customers implement using Amazon Kinesis, including streaming extract-transform-load, continuous metric generation, and responsive analytics. Our customer Autodesk joins us to describe how they created real-time metrics generation and analytics using Amazon Kinesis and Amazon Elasticsearch Service. They walk us through their architecture and the best practices they learned in building and deploying their real-time analytics solution.
The University of Maryland has created a robust analytics platform utilizing AWS and Tableau. This session will provide an overview of the Decision Support project at UMD, showcase the reports.umd.edu site built on an Amazon S3 server, and demonstrate how UMD has utilized Tableau to analyze and report AWS usage and billing data.
SQL Server to Amazon Aurora Migration, Step by Step (DAT405) - AWS re:Invent ...Amazon Web Services
In this session, learn best practices and tips for migrating SQL Server databases to Amazon Aurora. We use a combination of automated tools such as AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), manual procedures, and DBA know-how. We take questions on Amazon Aurora architecture and capabilities, how they compare to Microsoft technologies, and how to migrate core SQL Server features, capabilities, and schema objects to their AWS equivalent counterparts.
This webinar is to discuss how AWS Database Migration Service helps you migrate local database to the AWS Cloud environment, quickly and securely, and make sure the source database remains fully operational during the migration, minimizing downtime to applications that reply on the database. You will also learn how to lay down the plan for database migration for your company.
This is a level 200 webinar that covers introduction to AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT), tips to swiftly migrate existing databases to cloud, best practices of database management on cloud plus a number of successful use cases.
Lessons Learned from a Large-Scale Legacy Migration with Sysco (STG311) - AWS...Amazon Web Services
Migrating enterprise applications to the cloud requires thorough planning and consideration for a number of variables. Should you move your application to a similar infrastructure in the cloud (in a lift-and-shift scenario)? Or should you refactor your application to take advantage of cloud-native services for object storage, serverless, auto-scaling, and so on? In this session, an AWS expert walks through the ten commandments that enterprises should follow when moving applications to the cloud and refactoring them for optimal performance. Then, a representative of Sysco Corporation, a Fortune 50 company, shares how the company migrated mission-critical legacy business systems and modernized them to take advantage of the AWS Cloud. Learn how the company moved its enterprise purchasing system, which processes millions of dollars in sales daily, to the AWS Cloud while achieving a 60% decrease in run costs. Also discover the lessons learned and highlights of the migration, which resulted in 30% increase in performance, 3x improvement in user accessibility, and a significant decrease in order backlogs and outages.
Building Serverless ETL Pipelines with AWS Glue - AWS Summit Sydney 2018Amazon Web Services
Building Serverless ETL Pipelines with AWS Glue
In this session we will introduce key ETL features of AWS Glue and cover common use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We will also discuss how to build scalable, efficient, and serverless ETL pipelines.
Ben Thurgood, Solutions Architect, Amazon Web Services
Using data lakes to quench your analytics fire - AWS Summit Cape Town 2018Amazon Web Services
Speaker: Shafreen Sayyed, AWS
Level: 200
Traditional data storage and analytic tools no longer provide the agility and flexibility required to deliver relevant business insights. We are seeing more and more organisations shift to a data lake solution. This approach allows you to store massive amounts of data in a central location so its readily available to be categorized, processed, analyzed, and consumed by diverse organizational groups. In this session, we’ll assemble a data lake using services such as Amazon S3, Amazon Kinesis, Amazon Athena, Amazon EMR, AWS Glue and integration with Amazon Redshift Spectrum.
Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight - A...Amazon Web Services
Business Intelligence in Minutes with Amazon Athena and Amazon QuickSight
In this session you will learn how to leverage Amazon S3, Amazon Athena, and Amazon QuickSight to explore and visualise data without having to manage a database or spin up a server. We will show you how to upload a dataset to a Data Lake in the AWS Cloud, optimise it in a format that enables high speed queries using SQL, and create rich web-based visualisations from those results.
Warren Paull, Solutions Architect, Amazon Web Services
In this workshop, learn how to create a serverless data lake architecture. Understand how to ingest data at scale from multiple data sources, how to transform the data, and how to catalog it to make it available for querying using a variety of tools. Also learn how to set up governance and data quality controls.
Speakers:
Rajanikanth Bhargava Chilakapati - Solutions Architect, AWS
Karl Hart - Solutions Architect, AWS
John Pignata - Startup Solutions Architect, AWS
The AWS Big Data services are inherently built to run at @scale. In this session, you will learn how to develop an enterprise scale big data application using AWS services such as Amazon EMR, Amazon Redshift & Redshift Spectrum, Amazon Athena, Amazon Elasticsearch Service, Amazon Kinesis, Amazon QuickSight and AWS Glue. This session will also cover different architectural patterns and customer use cases.
Modern Cloud Data Warehousing ft. Equinox Fitness Clubs: Optimize Analytics P...Amazon Web Services
Most companies are overrun with data, yet they lack critical insights to make timely and accurate business decisions. They are missing the opportunity to combine large amounts of new, unstructured big data that resides outside their data warehouse with trusted, structured data inside their data warehouse. In this session, we discuss the most common use cases with Amazon Redshift, and we take an in-depth look at how modern data warehousing blends and analyzes all your data to give you deeper insights to run your business. Equinox Fitness Clubs joins us to share their journey from static reports, redundant data, and inefficient data intergration to a modern and flexible data lake and data warehouse architecture that delivers dynamic reports based on trusted data.
In this session we will introduce key ETL features of AWS Glue and cover common use cases ranging from scheduled nightly data warehouse loads to near real-time, event-driven ETL flows for your data lake. We will also discuss how to build scalable, efficient, and serverless ETL pipelines.
Accelerate Oracle to Aurora PostgreSQL Migration (GPSTEC313) - AWS re:Invent ...Amazon Web Services
There is a lot of interest these days in migrating data from commercial relational databases to open-source relational databases. PostgreSQL is a great choice for migration, offering advanced features, high performance, rock-solid data integrity, and a flexible open-source license. PostgreSQL is compliant with ANSI SQL. It supports drivers for nearly all development languages, and it has a strong community of active committers and companies to provide support. In this talk, we demonstrate an overall approach for migrating an application from your current Oracle database to an Amazon Aurora PostgreSQL database.
Connecting the dots - How Amazon Neptune and Graph Databases can transform yo...Amazon Web Services
This document discusses Amazon Neptune, a fully managed graph database service. It provides an overview of graph databases and their advantages over traditional databases for modeling connected data. It then describes Amazon Neptune's key features, like automatic scaling, high availability across Availability Zones, integration with open standards like Gremlin and SPARQL, and ease of use on AWS. Examples are given showing how to model and query graph data using Gremlin and SPARQL. Finally, it discusses Amazon Neptune's architecture and roadmap for general availability later in 2018.
Similar to How Amazon.com Migrates Inventory Management Systems (DAT346) - 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.