Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
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.
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage master nodes or the etcd operator. In this session, we cover how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging. We discuss the key contributions we’re making to make AWS an even better place to run Kubernetes, and show a live demonstration of how AWS customers are starting to use Amazon EKS.
Security & Compliance for Modern Serverless Applications (SRV319-R1) - AWS re...Amazon Web Services
Serverless architecture and a microservices approach has changed the way we develop applications. Increased composability doesn't have to mean decreased auditability or security. In this talk, we discuss the security model for applications based on AWS Lambda functions and Amazon API Gateway. Learn about the security and compliance that comes with Lambda right out of the box and with no extra charge or management. We also cover services like AWS Config, AWS Identity and Access Management (IAM), Amazon Cognito, and AWS Secrets Manager available on the platform to help manage application security.
This document discusses container management and scheduling using Amazon ECS. It describes the different types of schedulers in ECS including service, batch, event, and daemon schedulers. It explains how ECS handles scheduling tasks based on availability zones, instance types, and other constraints. The document also discusses using cluster constraints, custom constraints, and placement strategies to customize task scheduling. Additionally, it covers optimizing resource constraints for tasks and how to use load balancers to help with port allocation.
SRV328 Designing and Implementing a Serverless Media-Processing WorkflowAmazon Web Services
This workshop demonstrates how to use AWS Step Functions to coordinate multiple AWS Lambda functions using visual workflows. You learn how to build a Step Functions state machine to orchestrate a multi-step serverless application. You work in teams to design and implement an image recognition and processing workflow using AWS Step Functions, AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon Rekognition. Prerequisites: Experience using AWS, an AWS account, AWS CLI. We provide AWS credits for use in the hands-on lab. Bring a laptop.
Do you want to ramp up your knowledge of AWS analytics services and launch your first big data application on the cloud? In this session, we walk you through simplifying big data processing as a data bus comprising of ingestion, storage, processing, and visualization. You build a big data application using AWS managed services, including Amazon Athena, Amazon Kinesis, Amazon EMR, AWS Glue, Amazon Redshift, Amazon QuickSight, and Amazon S3. Along the way, we review architecture design patterns for big data applications and give you access to a take-home lab so you can rebuild and customize the application yourself. To get the most from this session, bring your own laptop and have some familiarity with AWS services.
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.
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.
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.
Kubernetes offers a powerful abstraction layer for managing containerized infrastructure. Amazon Elastic Container Service for Kubernetes (Amazon EKS) makes it easy to run Kubernetes on AWS without having to manage master nodes or the etcd operator. In this session, we cover how Amazon EKS makes deploying Kubernetes on AWS simple and scalable, including networking, security, monitoring, and logging. We discuss the key contributions we’re making to make AWS an even better place to run Kubernetes, and show a live demonstration of how AWS customers are starting to use Amazon EKS.
Security & Compliance for Modern Serverless Applications (SRV319-R1) - AWS re...Amazon Web Services
Serverless architecture and a microservices approach has changed the way we develop applications. Increased composability doesn't have to mean decreased auditability or security. In this talk, we discuss the security model for applications based on AWS Lambda functions and Amazon API Gateway. Learn about the security and compliance that comes with Lambda right out of the box and with no extra charge or management. We also cover services like AWS Config, AWS Identity and Access Management (IAM), Amazon Cognito, and AWS Secrets Manager available on the platform to help manage application security.
This document discusses container management and scheduling using Amazon ECS. It describes the different types of schedulers in ECS including service, batch, event, and daemon schedulers. It explains how ECS handles scheduling tasks based on availability zones, instance types, and other constraints. The document also discusses using cluster constraints, custom constraints, and placement strategies to customize task scheduling. Additionally, it covers optimizing resource constraints for tasks and how to use load balancers to help with port allocation.
SRV328 Designing and Implementing a Serverless Media-Processing WorkflowAmazon Web Services
This workshop demonstrates how to use AWS Step Functions to coordinate multiple AWS Lambda functions using visual workflows. You learn how to build a Step Functions state machine to orchestrate a multi-step serverless application. You work in teams to design and implement an image recognition and processing workflow using AWS Step Functions, AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon Rekognition. Prerequisites: Experience using AWS, an AWS account, AWS CLI. We provide AWS credits for use in the hands-on lab. Bring a laptop.
Do you want to ramp up your knowledge of AWS analytics services and launch your first big data application on the cloud? In this session, we walk you through simplifying big data processing as a data bus comprising of ingestion, storage, processing, and visualization. You build a big data application using AWS managed services, including Amazon Athena, Amazon Kinesis, Amazon EMR, AWS Glue, Amazon Redshift, Amazon QuickSight, and Amazon S3. Along the way, we review architecture design patterns for big data applications and give you access to a take-home lab so you can rebuild and customize the application yourself. To get the most from this session, bring your own laptop and have some familiarity with AWS services.
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.
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.
Advanced Continuous Delivery Best Practices (DEV317-R1) - AWS re:Invent 2018Amazon Web Services
Continuous delivery (CD) enables teams to be more agile and quickens the pace of innovation. Too often, however, teams adopt CD without putting the right safety mechanisms in place. In this talk, we discuss opportunities for you to transform your software release process into a safer one. We explore various DevOps best practices, showcasing sample applications and code with AWS CodePipeline and AWS CodeDeploy. We discuss how to set up delivery pipelines with nonproduction testing stages, failure cases, rollbacks, redundancy, canary testing and blue/green deployments, and monitoring. We discuss continuous delivery practices for deploying to Amazon EC2, AWS Lambda, and containers such as Amazon ECS or AWS Fargate.
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.
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
You’ve built an AWS Lambda function. But an application is more than just a single function; you need a lot of them. How do you orchestrate them? How do you know they’re performant? In this session, I’ll get you started with AWS Lambda, AWS Step Functions, and monitoring to get your application up and running. This session is brought to you by AWS Partner, Datadog.
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.
SRV316 Serverless Data Processing at Scale: An Amazon.com Case StudyAmazon Web Services
Come to this session, and learn how Amazon takes advantage of AWS Lambda with Amazon Kinesis, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Analytics to run a highly scalable, high-throughput pipeline to support its data processing needs. We cover different example architectures that handle such use cases as in-line process and data manipulation. We also discuss the advantages of using the AWS platform to manage different streams for data processing.
Operations for Containerized Applications (CON334-R1) - AWS re:Invent 2018Amazon Web Services
This document discusses operations for containerized applications on AWS. It covers topics like automation of deployments and scaling, security, observability, and minimizing operational overhead. The session will take place on November 26th and 27th. It promotes automating operations using the native AWS container stack with services like ECS, ECR, and Fargate or an open source stack with tools like Kubernetes, Terraform and Jenkins. It provides examples of configuring networking, IAM, logging, monitoring and automated scaling of containerized applications on AWS.
Stream Video, Analyze It in Real Time, and Share It in Real Time (ANT357) - A...Amazon Web Services
This document provides an overview of a workshop on streaming video, analyzing it in real-time, and sharing it using Amazon Web Services. The workshop objectives are to work through the video ingestion pipeline, focus on capturing, playback, and machine learning-driven analytics of video, and demonstrate an end-to-end solution. Activities include capturing live video, playing video back using HTTP Live Streaming, analyzing video using Amazon SageMaker, and using services like Amazon Kinesis Video Streams, Amazon SageMaker, and Amazon Rekognition Video.
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.
Deconstructing SaaS: Deep Dive into Building Multi-Tenant Solutions on AWS (A...Amazon Web Services
SaaS presents developers with a unique blend of architectural challenges. While the concepts of multi-tenancy are straightforward, the reality of making all the moving part work together can be daunting. For this session, we’ll move beyond the conceptual bits of SaaS and look under the hood of a SaaS application. The goal here is to examine the fundamentals of identity, data partitioning, and tenant isolation through the lens of a working solution and highlight the challenges and strategies associated with building a next-generation SaaS application on AWS. We’ll look at the full lifecycle of registering new tenants, applying security policies to prevent cross-tenant access, and leveraging tenant profiles to effectively distribute and partition tenant data. The goal here is to connect many of the conceptual dots of a SaaS implementation, highlighting the tradeoffs and considerations that will shape your approach to SaaS architecture.
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.
Securely Deliver Desktop Applications with Amazon AppStream 2.0 (BAP201) - AW...Amazon Web Services
In this session, learn how to provide your users with instant access to critical desktop applications through a browser on any computer. We present an overview of Amazon AppStream 2.0, a fully managed application streaming service, and walk through common application streaming use cases for enterprises, ISVs, 3D design and engineering firms, and educational institutions. We close with a simple walk through to help you get started.
How Amazon.com Migrates Inventory Management Systems (DAT346) - AWS re:Invent...Amazon Web Services
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.
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.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
The document discusses Amazon Web Services (AWS) practices for continuous integration (CI) and continuous delivery (CD) for software development teams. It defines CI as integrating code changes regularly through automated builds and tests. It defines CD as extending CI to automatically deploy successful builds to staging and pre-production environments. The document covers benefits of CI/CD, example AWS tools for CI/CD including CodeCommit, CodeBuild, and CodeDeploy, and techniques for pull request checks and continuous service testing.
Moving to DevOps the Amazon Way (DEV210-R1) - AWS re:Invent 2018Amazon Web Services
DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Design and Implement a Serverless Media-Processing Workflow Amazon Web Services
This document provides an overview of building a serverless media processing workflow using AWS Step Functions. It discusses what serverless means, how Step Functions can be used to sequence Lambda functions, and the different state types available in Step Functions like tasks, choices, and parallel processing. The workshop will guide attendees through creating a multi-step state machine that leverages Lambda tasks, choice states, error handling, and parallel processing. Input/output processing with InputPath and ResultPath is also covered, as well as integrating with other AWS services.
Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Increase the Value of Video with ML & Media Services - SRV322 - Anaheim AWS S...Amazon Web Services
In this session, learn how to generate metadata from your media and make your videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Also learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. We show you how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, we cover how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Advanced Continuous Delivery Best Practices (DEV317-R1) - AWS re:Invent 2018Amazon Web Services
Continuous delivery (CD) enables teams to be more agile and quickens the pace of innovation. Too often, however, teams adopt CD without putting the right safety mechanisms in place. In this talk, we discuss opportunities for you to transform your software release process into a safer one. We explore various DevOps best practices, showcasing sample applications and code with AWS CodePipeline and AWS CodeDeploy. We discuss how to set up delivery pipelines with nonproduction testing stages, failure cases, rollbacks, redundancy, canary testing and blue/green deployments, and monitoring. We discuss continuous delivery practices for deploying to Amazon EC2, AWS Lambda, and containers such as Amazon ECS or AWS Fargate.
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.
Build a Game for Echo Buttons - an Alexa Gadget! (ALX405-R2) - AWS re:Invent ...Amazon Web Services
Games are an integral part of our lives, and they enable us to build more creatively on every platform. In this session, we talk about bringing your IP to Alexa and engaging with players on tens of millions of Alexa devices. Participate in this interactive session, and learn how to build a game that incorporates gaming-friendly Alexa Gadgets called Echo Buttons. This session is aimed at advanced developers who have previously built Alexa skills. Bring your laptop. Also be sure to have an AWS account and credentials for the Amazon Developer Portal.
You’ve built an AWS Lambda function. But an application is more than just a single function; you need a lot of them. How do you orchestrate them? How do you know they’re performant? In this session, I’ll get you started with AWS Lambda, AWS Step Functions, and monitoring to get your application up and running. This session is brought to you by AWS Partner, Datadog.
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.
SRV316 Serverless Data Processing at Scale: An Amazon.com Case StudyAmazon Web Services
Come to this session, and learn how Amazon takes advantage of AWS Lambda with Amazon Kinesis, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Analytics to run a highly scalable, high-throughput pipeline to support its data processing needs. We cover different example architectures that handle such use cases as in-line process and data manipulation. We also discuss the advantages of using the AWS platform to manage different streams for data processing.
Operations for Containerized Applications (CON334-R1) - AWS re:Invent 2018Amazon Web Services
This document discusses operations for containerized applications on AWS. It covers topics like automation of deployments and scaling, security, observability, and minimizing operational overhead. The session will take place on November 26th and 27th. It promotes automating operations using the native AWS container stack with services like ECS, ECR, and Fargate or an open source stack with tools like Kubernetes, Terraform and Jenkins. It provides examples of configuring networking, IAM, logging, monitoring and automated scaling of containerized applications on AWS.
Stream Video, Analyze It in Real Time, and Share It in Real Time (ANT357) - A...Amazon Web Services
This document provides an overview of a workshop on streaming video, analyzing it in real-time, and sharing it using Amazon Web Services. The workshop objectives are to work through the video ingestion pipeline, focus on capturing, playback, and machine learning-driven analytics of video, and demonstrate an end-to-end solution. Activities include capturing live video, playing video back using HTTP Live Streaming, analyzing video using Amazon SageMaker, and using services like Amazon Kinesis Video Streams, Amazon SageMaker, and Amazon Rekognition Video.
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.
Deconstructing SaaS: Deep Dive into Building Multi-Tenant Solutions on AWS (A...Amazon Web Services
SaaS presents developers with a unique blend of architectural challenges. While the concepts of multi-tenancy are straightforward, the reality of making all the moving part work together can be daunting. For this session, we’ll move beyond the conceptual bits of SaaS and look under the hood of a SaaS application. The goal here is to examine the fundamentals of identity, data partitioning, and tenant isolation through the lens of a working solution and highlight the challenges and strategies associated with building a next-generation SaaS application on AWS. We’ll look at the full lifecycle of registering new tenants, applying security policies to prevent cross-tenant access, and leveraging tenant profiles to effectively distribute and partition tenant data. The goal here is to connect many of the conceptual dots of a SaaS implementation, highlighting the tradeoffs and considerations that will shape your approach to SaaS architecture.
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.
Securely Deliver Desktop Applications with Amazon AppStream 2.0 (BAP201) - AW...Amazon Web Services
In this session, learn how to provide your users with instant access to critical desktop applications through a browser on any computer. We present an overview of Amazon AppStream 2.0, a fully managed application streaming service, and walk through common application streaming use cases for enterprises, ISVs, 3D design and engineering firms, and educational institutions. We close with a simple walk through to help you get started.
How Amazon.com Migrates Inventory Management Systems (DAT346) - AWS re:Invent...Amazon Web Services
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.
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.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
The document discusses Amazon Web Services (AWS) practices for continuous integration (CI) and continuous delivery (CD) for software development teams. It defines CI as integrating code changes regularly through automated builds and tests. It defines CD as extending CI to automatically deploy successful builds to staging and pre-production environments. The document covers benefits of CI/CD, example AWS tools for CI/CD including CodeCommit, CodeBuild, and CodeDeploy, and techniques for pull request checks and continuous service testing.
Moving to DevOps the Amazon Way (DEV210-R1) - AWS re:Invent 2018Amazon Web Services
DevOps is currently one of the most sought after engineering models. One reason is that it helps enterprise transformations. The Amazon transformation to DevOps was born out of the desire to be even more customer obsessed, more agile, and more innovative. Come and learn from our journey as we share the playbook that helped us successfully implement and adopt DevOps as well as the lessons we learned the hard way.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
Design and Implement a Serverless Media-Processing Workflow Amazon Web Services
This document provides an overview of building a serverless media processing workflow using AWS Step Functions. It discusses what serverless means, how Step Functions can be used to sequence Lambda functions, and the different state types available in Step Functions like tasks, choices, and parallel processing. The workshop will guide attendees through creating a multi-step state machine that leverages Lambda tasks, choice states, error handling, and parallel processing. Input/output processing with InputPath and ResultPath is also covered, as well as integrating with other AWS services.
Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Increase the Value of Video with ML & Media Services - SRV322 - Anaheim AWS S...Amazon Web Services
In this session, learn how to generate metadata from your media and make your videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Also learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. We show you how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, we cover how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Increase the Value of Video with Machine Learning & Media Services - SRV322 -...Amazon Web Services
In this session, learn how to generate metadata from media, and make videos searchable by objects, people, activities, dialogs, and more by using Amazon Machine Learning (Amazon ML) tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing video libraries. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
Increase the Value of Video with ML & Media Services - SRV322 - Chicago AWS S...Amazon Web Services
The document discusses using Amazon machine learning services like Amazon Rekognition and Amazon Transcribe to generate metadata from video and audio content. This metadata can then be used to index content, enable search and retrieval of specific clips, and add captions. Media files are processed using AWS Elemental MediaConvert and metadata is stored in databases. Amazon ML services allow content to be analyzed at scale to extract useful information.
Increase the Value of Video with ML & Media Services - SRV322 - Toronto AWS S...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
AWS Immersion Day - Image Data Insights & Analytics Specialist Session - June...Amazon Web Services
Learn how to incorporate video data and analytics into your data management and business decision process. Discover how industry leaders are using AWS to do the heavy lifting with image data and innovating quickly. Our specialists will cover common issues and provide best practices from using IoT devices to collect data to training a ML model to using these models on the edge without network connectivity.
Customize a "VOD on AWS" Transcoding Solution with QC, DRM, and More (CTD412)...Amazon Web Services
Building a flexible video processing workflow for file-based media is challenging. In this workshop, learn how to deploy and customize the Video on Demand on an AWS solution and expand it to include QC, DRM, and other advanced capabilities. This well-architected solution automatically provisions services including AWS Elemental MediaConvert, Amazon CloudFront, AWS Step Functions, AWS Lambda, and Amazon S3 to build a scalable, distributed, and global video-on-demand workflow on AWS. Because this solution leverages AWS Step Functions, the workflow is broken into individual steps, making it easier to customize or extend the architecture for specific video-on-demand needs
NEW LAUNCH! Build your own live streaming and on-demand video service with AW...Amazon Web Services
Build both live and VOD video workflows using the new suite of AWS Elemental media services. In this workshop, you will learn about our new media services and then build live and VOD workflows using these newly introduced services which include AWS Elemental MediaLive, MediaPackage, MediaConvert, MediaStore, and MediaTailor.
Serverless Video Ingestion & Analytics with Amazon Kinesis Video Streams (ANT...Amazon Web Services
Amazon Kinesis Video Streams makes it easy to capture live video, play it back, and store it for real-time and batch-oriented ML-driven analytics. In this session, we first dive deep on the top five best practices for getting started and scaling with Amazon Kinesis Video Streams. Next, we demonstrate a streaming video from a standard USB camera connected to a laptop, and we perform a live playback on a standard browser within minutes. We also have on stage members of Amazon Go, who are building the next generation of physical retail store experiences powered by their "just walk out" technology. They walk through the technical details of their integration with Kinesis Video Streams and highlight their successes and difficulties along the way.
Data Lake Patterns for Voice, Vision, Advanced Analytics, & ML Using Serverle...Amazon Web Services
Industry 4.0 demands greater insight into data to bring people, processes, and equipment together. In this workshop, we illustrate how to gain business insights from video and voice data sources, highlighting the data pipeline. We ingest source feeds, efficiently store the data, and perform advanced analytics using AWS ML services and analysis tools. Typical applications include anomaly detection (detecting spills or hazardous objects and predictive maintenance) and voice sentiment analysis (customer service insights). By the end of the session, you will be able to quickly analyze data for uncommon characteristics using those detections to initiate a wide variety of actions.
Automate for Efficiency with Amazon Transcribe and Amazon Translate - AWS Onl...Amazon Web Services
The document discusses Amazon Transcribe and Amazon Translate services. It provides an overview of how each service works, including examples of generating video subtitles and translating text. Common use cases for the language services include customer service, content localization, knowledge management, and semantic search. Workflows are demonstrated combining Transcribe to generate transcripts and Translate to create multi-language subtitles.
Set Up a CI/CD Pipeline for Deploying Containers Using the AWS Developer Tool...Amazon Web Services
Learning Objectives:
- Learn how to set-up a CI/CD pipeline with AWS Fargate or Amazon ECS
- Understand how CodePipeline can help your team release high quality code, faster
- See a working sample of a CI/CD pipeline with AWS Fargate and AWS CodePipeline
This document discusses Amazon Web Services (AWS) for machine learning and deep learning. It describes several AWS services including Amazon Rekognition for image and video analysis, Amazon SageMaker for building and deploying machine learning models, and AWS Greengrass for deploying models to edge devices. It provides examples of using these services for tasks like image classification, object detection, and semantic segmentation. It also shows architectures for deploying models with services like Lambda, S3, and API Gateway.
Building and Moving Live Broadcasting to AWS (CTD305) - AWS re:Invent 2018Amazon Web Services
Learn how the BBC and Nine Network have enhanced the user experience and created new business models and opportunities, giving audiences more choices with more features, all while maintaining broadcast-grade service. When your business is providing live content to viewers, you know that there are no second chances. Audiences have come to expect a faultless live broadcast, and providers know they must ensure reliability with failover and redundancy plans. Learn how migrating to the cloud offers a new way to architect live-streaming workflows while maintaining the highest standards of resilience.
How Reddit Scales to 1B+ Video Views a Month Using AWS (CTD320) - AWS re:Inve...Amazon Web Services
Reddit uses AWS services to process over 1 billion video views per month. They implemented a video pipeline using Amazon S3 for storage, AWS Lambda for processing uploads and triggering transcoding, Amazon Elastic Transcoder for transcoding videos, Amazon SNS for notifications, and Amazon SQS for queuing posts. This scalable architecture on AWS allows Reddit to easily handle 10,000+ daily uploads with minimal infrastructure.
Building an end to end image recognition service - Tel Aviv Summit 2018Amazon Web Services
In this session, we’ll learn how to build and deploy end to end solutions for ingesting and processing computer vision solutions, using machine learning models connected to live video streams, and getting insights such as face detection and object analysis. At the end of the session developers of all skill levels will be able to build their own deep learning powered, computer-vision applications. Attendees will learn how to experiment with different projects for face detection, object recognition and other video-based AWS Machine Learning services.
Personalized Ad Targeting Using Real-Time, Content-Aware Machine Learning (CT...Amazon Web Services
Today, we can harness the power of machine learning services, such as Amazon Rekognition, Amazon Translate, and Amazon SageMaker, to automatically extract detailed information in the form of metadata to describe video content. Previously, creating the metadata for user-generated and professional video content was performed manually, which was both time-consuming and expensive. With Amazon Machine Learning, this metadata can be automatically generated and combined with viewers’ self-identified interests to create personalized advertising within video streams. This session features a demo of a camera matching objects in real time and a machine learning application suggesting relevant advertisements.
Integrating Amazon Elasticsearch with your DevOps Tooling - AWS Online Tech T...Amazon Web Services
Learning Objectives:
- Learn how to stream Amazon CloudWatch Logs data into Amazon Elasticsearch Service
- Learn how to configure Kibana to visualize your data
- Learn how to get started with Amazon Elasticsearch Service
Similar to SRV322 Increase the Value of Video with ML & Media Services (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.