The document describes a presentation on getting started with Docker and Amazon ECS. It discusses how Realtor.com migrated their application deployment process from using AMIs to using containers with Amazon ECS. They initially used a "build/burn AMI" process, then migrated to AWS Elastic Beanstalk, and finally moved to using Amazon ECS directly by defining tasks with CloudFormation templates. This improved their deployment speed and ability to deploy multiple versions simultaneously.
"When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost.
In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones."
GPSBUS220-Refactor and Replatform .NET Apps to Use the Latest Microsoft SQL S...Amazon Web Services
Developers and architects migrating Microsoft enterprise applications to AWS can leverage new tools and services to implement DevOps best practices identified and developed by AWS solution architects and service teams. Learn about architectural best practices and AWS services such as AWS CodeBuild and AWS CodeDeploy, focusing on the .NET environment. Get examples of using the latest SQL Server release on Amazon EC2 or Amazon RDS, or on other database offerings native to AWS, like Amazon Aurora or serverless environments. Hear how an APN Partner took a global retail customer’s ecommerce engine and SQL Server–based data platform from on premises to the AWS Cloud in just weeks.
Join us to learn what's new in serverless computing and AWS Lambda. Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, will share the latest developments in serverless computing and how companies are benefiting from serverless applications. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more. You will also hear from FICO about how it is using serverless computing for its predictive analytics and data science platform.
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to get hands-on experience with Docker as you containerize Intersella 8888’s aging monolithic application and deploy it using Amazon ECS.
AWS credits are provided. Bring your laptop, and please have an active AWS account."
MCL204_How Washington County Sherriff’s Office is using Amazon AI to Identify...Amazon Web Services
In this session, we dive into design paradigms and architectures that allow you to leverage the power of AWS AI services and Analytics to build intelligent AI systems. Going back to 2001, Washington County jail management system has archived hundred thousands of mugshots and by using Amazon Rekognition and other AWS services, they were able to build a powerful tool for identifying suspects.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
"When designing microservices there are a number of things to think about. Just for starters, the bounds of their functionality, how they communicate with their dependencies, and how they provide an interface for their own consumers. Serverless technologies such as AWS Lambda change paradigms around code structure, usage of libraries, and how you deploy and manage your applications. In this session, we show you how by combining microservices and serverless technologies, you can achieve the ultimate flexibility and agility that microservices aim for, while providing business value in how serverless greatly reduces operational overhead and cost.
In addition, National Geographic will share how it built its NG1 platform using a serverless, microservices architecture. The NG1 platform provides National Geographic consumers with content personalized to their preferences and behaviors in an intuitive, easy-to-use way on smartphones."
GPSBUS220-Refactor and Replatform .NET Apps to Use the Latest Microsoft SQL S...Amazon Web Services
Developers and architects migrating Microsoft enterprise applications to AWS can leverage new tools and services to implement DevOps best practices identified and developed by AWS solution architects and service teams. Learn about architectural best practices and AWS services such as AWS CodeBuild and AWS CodeDeploy, focusing on the .NET environment. Get examples of using the latest SQL Server release on Amazon EC2 or Amazon RDS, or on other database offerings native to AWS, like Amazon Aurora or serverless environments. Hear how an APN Partner took a global retail customer’s ecommerce engine and SQL Server–based data platform from on premises to the AWS Cloud in just weeks.
Join us to learn what's new in serverless computing and AWS Lambda. Dr. Tim Wagner, General Manager of AWS Lambda and Amazon API Gateway, will share the latest developments in serverless computing and how companies are benefiting from serverless applications. You'll learn about the latest feature releases from AWS Lambda, Amazon API Gateway, and more. You will also hear from FICO about how it is using serverless computing for its predictive analytics and data science platform.
In this workshop, we explore features and functions of the AWS IoT service. We start out by covering the AWS ecosystem as it relates to IoT. Next, we cover the AWS IoT service in greater detail, review some best practices for IoT solutions, and look at some common architectural patterns. With this foundation in place, we explore the AWS IoT service hands on with an IoT device and accompanying lab exercises. To get the most out of this workshop you need to have an AWS account created before the workshop begins. You should also bring a laptop so you can connect to the IoT device and perform the workshop lab exercises.
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to get hands-on experience with Docker as you containerize Intersella 8888’s aging monolithic application and deploy it using Amazon ECS.
AWS credits are provided. Bring your laptop, and please have an active AWS account."
MCL204_How Washington County Sherriff’s Office is using Amazon AI to Identify...Amazon Web Services
In this session, we dive into design paradigms and architectures that allow you to leverage the power of AWS AI services and Analytics to build intelligent AI systems. Going back to 2001, Washington County jail management system has archived hundred thousands of mugshots and by using Amazon Rekognition and other AWS services, they were able to build a powerful tool for identifying suspects.
"Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months."
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
Advanced Patterns in Microservices Implementation with Amazon ECS - CON402 - ...Amazon Web Services
This document discusses advanced patterns for implementing microservices architectures using Amazon ECS. It covers microservices concepts, characteristics, and advantages of ECS. It also discusses how to deploy containers on ECS using tasks and services, implement the twelve-factor app model, perform continuous deployment, service discovery, and task placement. Finally, it shares BuzzFeed's experience building a microservices platform on ECS, including challenges overcome and lessons learned.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
SRV331_Build a Multi-Region Serverless Application for Resilience and High Av...Amazon Web Services
Have a mission-critical serverless app that requires maximum uptime? Come learn how to build and deploy a multi-region serverless application to maximize application availability and resilience. In this workshop, you'll enter a scenario in which you help a fictional unicorn ridesharing company (www.wildrydes.com) deploy a critical customer support application using a serverless architecture. When a passenger completes a ride, they can use the app to inform the company if they had any issues with their trip—perhaps a lost wallet or a misbehaving unicorn. Since Wild Rydes is global, this support application takes advantage of a multi-region, highly available architecture using services such as AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Route 53, Amazon CloudFront and Amazon S3 to maximize availability. It also uses Amazon Cognito Federated Identities for user authentication. Attendees should bring a laptop and be familiar with the AWS Management Console and the AWS CLI.
GPSTEC317-From Leaves to Lawns AWS Greengrass at the Edge and BeyondAmazon Web Services
AWS Greengrass provides a wide range of opportunities from IoT gateway applications to building systems like those with microservice architectures. In this session, we first evaluate how AWS Greengrass fits into OEM, ODM, and IT service delivery models. We then wade into a gentle overview of AWS Greengrass and how it interoperates with AWS IoT and other AWS services. We walk through several key AWS Greengrass distributed architectures. Next, to help you accelerate your solution using AWS Greengrass, we discuss how AWS Greengrass fits into the AWS Cloud development and delivery model. The talk wraps up with a demonstration of AWS Greengrass facilitating communication between a closed machine to machine (M2M) network and AWS IoT.
AMF303-Deep Dive into the Connected Vehicle Reference Architecture.pdfAmazon Web Services
At this fast-paced, interactive workshop, get hands-on with live data streaming from an actual car driving the streets of Las Vegas. Explore AWS IoT, common patterns, and best practices for processing IoT data, and deploy a reference architecture to begin consuming and analyzing connected vehicle data in your own AWS account. Walk away from this workshop with the knowledge needed to connect your own vehicle to the cloud.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
This document summarizes a workshop on migrating a monolithic application architecture to a microservices architecture using Amazon ECS. The workshop consists of 3 labs: 1) deploying the monolithic application as a container on ECS, 2) incrementally building microservices and deploying them on ECS to replace functionality in the monolith, and 3) using an Application Load Balancer to route requests to the monolith and microservices. The goal is to help Interstella 8888, an intergalactic trading company, scale its logistics platform for processing rare resource orders by adopting a microservices approach.
Financial services companies are using machine learning to reduce fraud, streamline processes, and improve their bottom line. AWS provides tools that help them easily use AI tools like MXNet and Tensor Flow to perform predictive analytics, clustering, and more advanced data analyses. In this session, hear how IHS Markit has used machine learning on AWS to help global banking institutions manage their commodities portfolios. Learn how Amazon Machine Learning can take the hassle out of AI.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
by Itzik Paz, Solutions Architect & Rich Cowper, Solutions Architect Manager, AWS
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront.
SRV314_Building a Serverless Pipeline to Transcode a Two-Hour Video in MinutesAmazon Web Services
Learn how Verizon’s Revvel team built a world-class video transcoding pipeline on AWS. This session shows how Revvel migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. You will gain insights on how they were able to achieve massive parallelization that gives Revvel the ability to transcode an entire movie or TV series into multiple device formats and bitrates within minutes, while never paying for idle resources. In addition, the Revvel team will cover best practices and lessons learned in creating a custom CI/CD pipeline for Lambda functions that allows them to test code quality during an upgrade to a Lambda function. Revvel is a team within Verizon, chartered with building and innovating video solutions. In November 2016, Verizon acquired Vessel to accelerate their efforts in building a next-generation television service, and Revvel was born.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
This document discusses best practices for optimizing AWS architectures for cost efficiency. It provides strategies across business goals, architecture, and operations. Key recommendations include using AWS cost tools, Reserved Instances, automation to avoid idle instances, Spot Instances, optimizing databases through caching, splitting architectures into focused stacks, and leveraging managed services. The presentation provides customer examples and emphasizes letting AWS handle undifferentiated heavy lifting to save money and focus on core business needs.
Monitoring and Troubleshooting in a Serverless World - SRV303 - re:Invent 2017Amazon Web Services
How do you monitor and troubleshoot an application made up of many ephemeral, stateless functions? How do you debug a distributed application in production? In this talk, we walk you through best practices, tools, and conventions using common troubleshooting scenarios. We'll discuss how you can use AWS services to address these scenarios, such as using Amazon CloudWatch for alarms and using AWS X-Ray to detect cross service calls.
You will also learn how Financial Engines leverages AWS X-Ray to debug, monitor, and analyze latency data for its serverless applications. It will also share some best practices for debugging and reporting.
The document discusses best practices for planning a large-scale migration to AWS. It covers the three stages of cloud migration: pre-migration, migration, and post-migration. In the pre-migration stage, companies should create a Cloud Center of Excellence, conduct sample migrations to validate the process, and build a minimum viable landing zone. During migration, they should prioritize agility, use specialized migration factories, and track progress. In the post-migration stage, they should apply lessons learned, create reusable components, and continue to evolve their cloud environment. The overall goal is to plan an iterative migration process with built-in governance and automation.
IOT308-One Message to a Million Things Done in 60 seconds with AWS IoTAmazon Web Services
The AWS IoT message broker is a fully managed publish/subscribe broker service that enables the sending and receiving of messages between devices and applications with high speed and reliability. In this session, learn about the common AWS IoT messaging patterns and dive deep into understanding the scaling best practices while using these patterns in applications. In addition, Amazon Music talks about how they used AWS IoT to build event notifications of soccer games in their applications for our customers.
WIN204-Simplifying Microsoft Architectures with AWS ServicesAmazon Web Services
Learn how to architect fully available and scalable Microsoft solutions and environments in AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, plan authentication and authorization, and explore various hybrid scenarios with other cloud environment and on-premise solutions/infrastructure. Learn about common architecture patterns for network design, Active Directory, and business productivity solutions like Dynamics AX, CRM, and SharePoint, also common scenarios for custom .NET, .NET Core with SQL deployments and migrations.
Successfully Migrating Business-Critical Applications to AWS - ENT401 - re:In...Amazon Web Services
When critical business applications move to the AWS Cloud, the business needs to be assured that applications will migrate rapidly and that performance will be as good or better than on-premises. This session covers a proven solution to evaluate, move, and compare migrated applications and assure they meet user expectations. The session also covers how to monitor and intelligently remediate applications on an ongoing basis, so user experience is consistent and can scale and heal accordingly. You see Cisco CloudCenter in action, along with discovery and third-party migration tools used to understand applications and move them to AWS. With AppDynamics and CloudCenter working together, you can see before and after examples of a business application running as good as or better than when on-premises. We also share advanced use cases of AppDynamics, providing user experience analytics and directing CloudCenter to scale applications.
Session sponsored by Cisco
Zero to Lightspeed: Building production apps easily with Amazon Lightsail - C...Amazon Web Services
Whether you are launching a simple website or a scaled application, time to go live is a key consideration for your business. Amazon Lightsail is the easiest way to get started on AWS, letting you build and scale your infrastructure faster. In this session, we will walk you through how to use Lightsail to launch your application with a few clicks and scale it as needed for redundancy, traffic spikes, or intergalactic attack. With in-browser SSH and RDP access, easy server management, and in-console guidance, Lightsail provides all the tools needed for builders of all levels – no prior AWS experience required.
GPSTEC319-Build Once Deploy Many Architecting and Building Automated Reusable...Amazon Web Services
This session explains how to build reusable, maintainable AWS CloudFormation–based automation for AWS Cloud deployments. We have built over 50 Quick Start reference deployments with partners and customers, and will share this expertise with you. We explore the anatomy of a typical AWS CloudFormation template, dive deep into best practices for building Quick Start automation across Linux and Windows and explore useful design patterns. This expert-level session is for partners interested in building Quick Starts or other AWS CloudFormation–based automation. It requires familiarity with Git, shell scripting, Windows PowerShell, and AWS services like Amazon EC2, Amazon S3 and AWS CloudFormation.
The document provides an overview of using Docker containers on Amazon Web Services (AWS). It discusses Amazon Elastic Container Service (ECS) for managing containers at scale on AWS, including features like load balancing, auto scaling, and integration with other AWS services. It also covers using Fargate, a serverless compute engine for ECS that eliminates the need to provision and manage servers.
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
In this session, hear how Cambia Health Solutions, a not-for-profit total health solutions company, created a self-service data model to convert a large-scale, on-premises batch processing model to a cloud-based, real-time pub-sub and RESTful API model. Learn how Cambia leveraged AWS services like Amazon Aurora, AWS Database Migration Service (AWS DMS), AWS Lambda, and AWS messaging services to create an architecture that provides a reasonable runway for legacy customers to convert from old mode to new mode and, at the same time, offer a fast track for onboarding new customers.
Advanced Patterns in Microservices Implementation with Amazon ECS - CON402 - ...Amazon Web Services
This document discusses advanced patterns for implementing microservices architectures using Amazon ECS. It covers microservices concepts, characteristics, and advantages of ECS. It also discusses how to deploy containers on ECS using tasks and services, implement the twelve-factor app model, perform continuous deployment, service discovery, and task placement. Finally, it shares BuzzFeed's experience building a microservices platform on ECS, including challenges overcome and lessons learned.
The document discusses strategies for scaling an application from 1 user to over 100,000 users on AWS. It begins with simple architectures using EC2 instances and databases and progresses to more scalable options like load balancers, auto scaling, caching, and serverless technologies. It emphasizes starting with SQL databases and managing users with Cognito before considering NoSQL. The document provides guidance on services like S3, CloudFront, ElastiCache, DynamoDB and auto scaling groups to optimize performance and costs at larger scales.
SRV331_Build a Multi-Region Serverless Application for Resilience and High Av...Amazon Web Services
Have a mission-critical serverless app that requires maximum uptime? Come learn how to build and deploy a multi-region serverless application to maximize application availability and resilience. In this workshop, you'll enter a scenario in which you help a fictional unicorn ridesharing company (www.wildrydes.com) deploy a critical customer support application using a serverless architecture. When a passenger completes a ride, they can use the app to inform the company if they had any issues with their trip—perhaps a lost wallet or a misbehaving unicorn. Since Wild Rydes is global, this support application takes advantage of a multi-region, highly available architecture using services such as AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon Route 53, Amazon CloudFront and Amazon S3 to maximize availability. It also uses Amazon Cognito Federated Identities for user authentication. Attendees should bring a laptop and be familiar with the AWS Management Console and the AWS CLI.
GPSTEC317-From Leaves to Lawns AWS Greengrass at the Edge and BeyondAmazon Web Services
AWS Greengrass provides a wide range of opportunities from IoT gateway applications to building systems like those with microservice architectures. In this session, we first evaluate how AWS Greengrass fits into OEM, ODM, and IT service delivery models. We then wade into a gentle overview of AWS Greengrass and how it interoperates with AWS IoT and other AWS services. We walk through several key AWS Greengrass distributed architectures. Next, to help you accelerate your solution using AWS Greengrass, we discuss how AWS Greengrass fits into the AWS Cloud development and delivery model. The talk wraps up with a demonstration of AWS Greengrass facilitating communication between a closed machine to machine (M2M) network and AWS IoT.
AMF303-Deep Dive into the Connected Vehicle Reference Architecture.pdfAmazon Web Services
At this fast-paced, interactive workshop, get hands-on with live data streaming from an actual car driving the streets of Las Vegas. Explore AWS IoT, common patterns, and best practices for processing IoT data, and deploy a reference architecture to begin consuming and analyzing connected vehicle data in your own AWS account. Walk away from this workshop with the knowledge needed to connect your own vehicle to the cloud.
CON318_Interstella 8888 Monolith to Microservices with Amazon ECSAmazon Web Services
This document summarizes a workshop on migrating a monolithic application architecture to a microservices architecture using Amazon ECS. The workshop consists of 3 labs: 1) deploying the monolithic application as a container on ECS, 2) incrementally building microservices and deploying them on ECS to replace functionality in the monolith, and 3) using an Application Load Balancer to route requests to the monolith and microservices. The goal is to help Interstella 8888, an intergalactic trading company, scale its logistics platform for processing rare resource orders by adopting a microservices approach.
Financial services companies are using machine learning to reduce fraud, streamline processes, and improve their bottom line. AWS provides tools that help them easily use AI tools like MXNet and Tensor Flow to perform predictive analytics, clustering, and more advanced data analyses. In this session, hear how IHS Markit has used machine learning on AWS to help global banking institutions manage their commodities portfolios. Learn how Amazon Machine Learning can take the hassle out of AI.
DEV326_DevOps Essentials An Introductory Workshop on CICD PracticesAmazon Web Services
In a few hours, quickly learn how to effectively leverage various AWS services to improve developer productivity and reduce the overall time to market new product capabilities. In this workshop, we demonstrate a prescriptive approach to incrementally adopt and embrace some of the best practices around continuous integration/continuous delivery (CI/CD) using AWS developer tools and third-party solutions. The tools include source control systems including GitHub and AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy, to name a few.
by Itzik Paz, Solutions Architect & Rich Cowper, Solutions Architect Manager, AWS
This presentation compares three modern architecture patterns that startups are building their businesses around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers AWS Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront.
SRV314_Building a Serverless Pipeline to Transcode a Two-Hour Video in MinutesAmazon Web Services
Learn how Verizon’s Revvel team built a world-class video transcoding pipeline on AWS. This session shows how Revvel migrated from transcoding video on EC2 instances to a serverless pipeline using AWS Lambda and Amazon S3. You will gain insights on how they were able to achieve massive parallelization that gives Revvel the ability to transcode an entire movie or TV series into multiple device formats and bitrates within minutes, while never paying for idle resources. In addition, the Revvel team will cover best practices and lessons learned in creating a custom CI/CD pipeline for Lambda functions that allows them to test code quality during an upgrade to a Lambda function. Revvel is a team within Verizon, chartered with building and innovating video solutions. In November 2016, Verizon acquired Vessel to accelerate their efforts in building a next-generation television service, and Revvel was born.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
This document discusses best practices for optimizing AWS architectures for cost efficiency. It provides strategies across business goals, architecture, and operations. Key recommendations include using AWS cost tools, Reserved Instances, automation to avoid idle instances, Spot Instances, optimizing databases through caching, splitting architectures into focused stacks, and leveraging managed services. The presentation provides customer examples and emphasizes letting AWS handle undifferentiated heavy lifting to save money and focus on core business needs.
Monitoring and Troubleshooting in a Serverless World - SRV303 - re:Invent 2017Amazon Web Services
How do you monitor and troubleshoot an application made up of many ephemeral, stateless functions? How do you debug a distributed application in production? In this talk, we walk you through best practices, tools, and conventions using common troubleshooting scenarios. We'll discuss how you can use AWS services to address these scenarios, such as using Amazon CloudWatch for alarms and using AWS X-Ray to detect cross service calls.
You will also learn how Financial Engines leverages AWS X-Ray to debug, monitor, and analyze latency data for its serverless applications. It will also share some best practices for debugging and reporting.
The document discusses best practices for planning a large-scale migration to AWS. It covers the three stages of cloud migration: pre-migration, migration, and post-migration. In the pre-migration stage, companies should create a Cloud Center of Excellence, conduct sample migrations to validate the process, and build a minimum viable landing zone. During migration, they should prioritize agility, use specialized migration factories, and track progress. In the post-migration stage, they should apply lessons learned, create reusable components, and continue to evolve their cloud environment. The overall goal is to plan an iterative migration process with built-in governance and automation.
IOT308-One Message to a Million Things Done in 60 seconds with AWS IoTAmazon Web Services
The AWS IoT message broker is a fully managed publish/subscribe broker service that enables the sending and receiving of messages between devices and applications with high speed and reliability. In this session, learn about the common AWS IoT messaging patterns and dive deep into understanding the scaling best practices while using these patterns in applications. In addition, Amazon Music talks about how they used AWS IoT to build event notifications of soccer games in their applications for our customers.
WIN204-Simplifying Microsoft Architectures with AWS ServicesAmazon Web Services
Learn how to architect fully available and scalable Microsoft solutions and environments in AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, plan authentication and authorization, and explore various hybrid scenarios with other cloud environment and on-premise solutions/infrastructure. Learn about common architecture patterns for network design, Active Directory, and business productivity solutions like Dynamics AX, CRM, and SharePoint, also common scenarios for custom .NET, .NET Core with SQL deployments and migrations.
Successfully Migrating Business-Critical Applications to AWS - ENT401 - re:In...Amazon Web Services
When critical business applications move to the AWS Cloud, the business needs to be assured that applications will migrate rapidly and that performance will be as good or better than on-premises. This session covers a proven solution to evaluate, move, and compare migrated applications and assure they meet user expectations. The session also covers how to monitor and intelligently remediate applications on an ongoing basis, so user experience is consistent and can scale and heal accordingly. You see Cisco CloudCenter in action, along with discovery and third-party migration tools used to understand applications and move them to AWS. With AppDynamics and CloudCenter working together, you can see before and after examples of a business application running as good as or better than when on-premises. We also share advanced use cases of AppDynamics, providing user experience analytics and directing CloudCenter to scale applications.
Session sponsored by Cisco
Zero to Lightspeed: Building production apps easily with Amazon Lightsail - C...Amazon Web Services
Whether you are launching a simple website or a scaled application, time to go live is a key consideration for your business. Amazon Lightsail is the easiest way to get started on AWS, letting you build and scale your infrastructure faster. In this session, we will walk you through how to use Lightsail to launch your application with a few clicks and scale it as needed for redundancy, traffic spikes, or intergalactic attack. With in-browser SSH and RDP access, easy server management, and in-console guidance, Lightsail provides all the tools needed for builders of all levels – no prior AWS experience required.
GPSTEC319-Build Once Deploy Many Architecting and Building Automated Reusable...Amazon Web Services
This session explains how to build reusable, maintainable AWS CloudFormation–based automation for AWS Cloud deployments. We have built over 50 Quick Start reference deployments with partners and customers, and will share this expertise with you. We explore the anatomy of a typical AWS CloudFormation template, dive deep into best practices for building Quick Start automation across Linux and Windows and explore useful design patterns. This expert-level session is for partners interested in building Quick Starts or other AWS CloudFormation–based automation. It requires familiarity with Git, shell scripting, Windows PowerShell, and AWS services like Amazon EC2, Amazon S3 and AWS CloudFormation.
The document provides an overview of using Docker containers on Amazon Web Services (AWS). It discusses Amazon Elastic Container Service (ECS) for managing containers at scale on AWS, including features like load balancing, auto scaling, and integration with other AWS services. It also covers using Fargate, a serverless compute engine for ECS that eliminates the need to provision and manage servers.
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
by Erin McGill, Partner Solutions Architect, AWS
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to get hands-on experience with Docker as you containerize Intersella 8888’s aging monolithic application and deploy it using Amazon ECS.
AWS credits are provided. Bring your laptop, and please have an active AWS account.
By packaging software into standardized units, containers give code everything it needs to run, ensuring consistency from your laptop all the way into production. But once you have your code ready to ship, how do you run and scale it in the cloud? In this session, you will learn about your options for running containers on AWS and the integrated AWS services that you can take advantage of to run and scale containerized applications.
Introduction to AWS Fargate & Amazon Elastic Container Service for KubernetesAmazon Web Services
AWS Fargate makes running containerized workloads on AWS easier than ever before. This session will provide a technical background for using Fargate with your existing containerized services, including best practices for building images, configuring task definitions, task networking, secrets management, and monitoring.
by Andy Mui, Solutions Architect, AWS
Join this workshop to get hands-on experience deploying Docker containers as you break an aging monolithic application into containerized microservices. Using Amazon ECS and the Application Load Balancer, you will create API-based microservices and deploy them leveraging integrations with other AWS services.
Driving Innovation with Containers - CON203 - re:Invent 2017Amazon Web Services
Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?
In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.
WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months.
Join this workshop to learn the basics of working with microservices and Amazon ECS. Discover how to prepare two microservice container images, set up the initial Amazon ECS cluster, and deploy the containers with traffic routed through an ALB. You'll deploy a simple web application that enables users to request unicorn rides from the Wild Rydes (http://wildrydes.com/) fleet. The application architecture uses AWS Lambda (https://aws.amazon.com/lambda/), Amazon API Gateway (https://aws.amazon.com/api-gateway/), Amazon S3 (https://aws.amazon.com/s3/), Amazon DynamoDB (https://aws.amazon.com/dynamodb/), Amazon Cognito (https://aws.amazon.com/cognito/), and AWS Amplify Console (https://aws.amazon.com/amplify/console/). Amplify Console hosts static web resources including HTML, CSS, JavaScript, and image files which are loaded in the user's browser via Amazon S3. JavaScript executed in the browser sends and receives data from a public backend API built using AWS Lambda and Amazon API Gateway. Amazon Cognito provides user management and authentication functions to secure the backend API. Finally, DynamoDB provides a persistence layer where data can be stored by the API's AWS Lambda function.
The document provides an overview of Docker containers and how they can be used on AWS. It discusses how Docker allows for portable application environments and consistent deployments across environments. It introduces Amazon ECR for hosting container images, Amazon ECS for deploying containers on EC2 instances or using Fargate, and EKS for running Kubernetes on AWS. The document highlights benefits like reusable images, isolation, portability and resource efficiency when using containers and these AWS services.
Hosted by PolarSeven Cloud Consulting - http://polarseven.com
Our monthly AWS User Group Sydney presentation night.
http://www.meetup.com/AWS-Sydney/
Introductions and What's New In AWS - by PolarSeven
Bonus Session - AWS Mitch Beaumant - Amazon Fargate in 15 minutes
Session 1:
Security Policy Lifecycle Management
"Automated security actions based on observed security events
and protecting AWS deployments are some of the key challenges facing network and security teams.
With the general availability of Palo Alto Networks PAN-OS 8.0 software, VM-Series virtualized next-generation firewall, network and security teams now have a simple, automated security management platform for managing and enforcing security policies within AWS deployments. This session will provide an advanced technical overview of the enhancements done over the last 12 months.
The topics covered will include,
• Technical overview of Panorama driven security workflows for AWS
• Presentation of our github AWS templates with a focus on CFT and Terraform"
Paloaltonetworks
https://www.paloaltonetworks.com/
See video presentation here
https://youtu.be/LLdto5LOcd8
Session 2:
Automating the Service Desk using Amazon Lex and Amazon Connect
Once considered a rare and difficult capability to achieve, the democratisation of artificial intelligence has made it possible for developers to easily access and leverage machine learning capabilities to automate and solve problems across multiple industries. This presentation aims to demonstrate how easy it is to take advantage of an AWS Machine Learning capability (Amazon Lex) with no deep learning experience and solve common everyday IT problems.
Telstra
https://www.telstra.com.au/
Watch the video presentation here
https://youtu.be/8BP1OZk2wUs
- AWS ECS saw significant growth and usage in 2017, with hundreds of millions of containers started each week and millions of container instances.
- In 2017 AWS ECS added several new features including support for Windows containers, load balancers, device and init flags, and new regions.
- AWS announced Fargate, a serverless compute engine for containers that removes the need to provision and manage servers.
- AWS also announced EKS, a managed Kubernetes service that runs Kubernetes clusters on the AWS infrastructure and integrates with AWS services.
"Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to learn how to set up a CI/CD pipeline for containerized microservices. You'll get hands-on experience deploying Docker container images using Amazon ECS AWS CloudFormation, AWS CodeBuild, and AWS CodePipline, automating everything from code check-in to production.
AWS credits are provided. Bring your laptop, and have an active AWS account."
Interstella 8888: CICD for Containers on AWS - CON319 - re:Invent 2017Amazon Web Services
Interstella 8888 is an intergalactic trading company that deals in rare resources, but their antiquated monolithic logistics systems are causing the business to lose money.
Join this workshop to learn how to set up a CI/CD pipeline for containerized microservices. You'll get hands-on experience deploying Docker container images using Amazon ECS AWS CloudFormation, AWS CodeBuild, and AWS CodePipline, automating everything from code check-in to production.
AWS credits are provided. Bring your laptop, and have an active AWS account.
Build a Java Spring Application on Amazon ECS - CON332 - re:Invent 2017Amazon Web Services
This workshop teaches you how to lift and shift existing Spring and Spring Cloud applications onto the AWS platform. Learn how to build a Spring application container, understand bootstrap secrets, push container images to Amazon ECR, and deploy the application to Amazon ECS. Then, learn how to configure the deployment for production.
This document introduces Amazon EKS, a managed Kubernetes service that makes it easy to run Kubernetes on AWS. Some key points:
- EKS manages the control plane components needed to run Kubernetes clusters, eliminating the overhead of maintaining the control plane.
- It provisions and manages the Kubernetes control plane across multiple availability zones, providing high availability.
- It also integrates tightly with other AWS services like IAM, VPC networking, security groups, load balancers, and more for a native AWS experience.
- EKS is based on the open source Kubernetes project and allows users to leverage the same APIs, tooling, and features while benefiting from the scalability of AWS.
In this session, we cover all options for running containers on AWS. This includes an introduction of container concepts and an overview of the different services: Amazon Elastic Container Service, AWS Fargate, and Amazon Elastic Container Service for Kubernetes. We also cover best practices for how to choose the right orchestration platform for your workload, the different tools for making this process easier, and ways to find more information and support as you work.
Similar to CON202-Getting Started with Docker and Amazon ECS (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.