Whether it's connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
Build and Deploy Robot Applications Easily (ROB302-R) - AWS re:Invent 2018Amazon Web Services
We’ll use an object detection robot as an example to show how AWS RoboMaker can help you build the robot of your dreams. We’ll do a deep dive into the architecture of our robot application. You’ll learn how it uses various AWS services to detect and react to objects. Along the way, we’ll show you how AWS RoboMaker makes it easy to develop and test such applications. Finally, we’ll dive into how AWS RoboMaker deploys your application to a fleet of robots.
Inventory, Track, and Respond to AWS Asset Changes within Seconds at Scale (S...Amazon Web Services
Large AWS environments have assets distributed across many accounts and regions. Ideally, asset inventory should be timely and provide an audit trail to document who made the changes and when. This is required for security teams to quickly react to insecure configurations and for DevOps tooling to manage infrastructure effectively. The traditional means of obtaining the timely and current state of AWS assets is to very frequently poll over the entire infrastructure, often tens of times per minute. This becomes increasingly difficult as AWS infrastructures grow in complexity. Additionally, polling for infrastructure changes provides no auditability context. In this session, learn how to inventory, track, and respond to AWS asset changes with seconds at scale.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Managing Connected Devices at Scale with AWS IoT Device Management, ft. Hudl ...Amazon Web Services
IoT deployments often consist of thousands to millions of devices deployed across multiple locations. It is essential to have a solution to track, monitor, and manage your connected device fleets at scale. In this session, learn how AWS IoT Device Management can help you onboard, remotely manage, and monitor your connected devices. In this session, we discuss key features of AWS IoT Device Management, including fleet indexing and search, remote commands, over-the-air (OTA) updates, and device monitoring. Learn how AWS IoT Device Management can help you scale your fleets and reduce the cost and effort of managing IoT device deployments. Also, representatives from Hudl, the world leader in sports video analysis, discuss how the company is changing the recording and upload process for high schools across the country with their newest product, Hudl Focus.
Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...Amazon Web Services
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Building an AWS IoT-Enabled Drink Dispenser (IOT405) - AWS re:Invent 2018Amazon Web Services
In this workshop, learn how to develop a multi-tenant platform for a connected drink dispenser. Work with firmware on microcontrollers using Amazon FreeRTOS, deploy your own application and user management framework with static Amazon S3 websites and Amazon Cognito, and utilize AWS IoT Core for immediate telemetry, command, and control of your drink dispenser devices. When ready, plug your controller into one of the physical dispensers to complete the workshop.
Voice-Powered Serverless Analytics (SRV240-R1) - AWS re:Invent 2018Amazon Web Services
As a business manager, imagine asking Alexa within a skill that was specifically built for your organization for key insights into your business, such as “Who is our largest customer in Northern California?” or “How has our sales volume grown between Q1 and Q2 in our Asian markets?” In this workshop, you build an Alexa skill that queries metrics from a data lake that you define. The goal is for you to understand how to uncover key performance indicators (KPIs) from a dataset, build and automate queries with AWS Lambda, and access them via Alexa voice-enabled devices. Startups can make available voice-powered analytics to query at any time, and enterprises can deliver these types of solutions to stakeholders so they can have easy access to the business KPIs that are top of mind.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
Build and Deploy Robot Applications Easily (ROB302-R) - AWS re:Invent 2018Amazon Web Services
We’ll use an object detection robot as an example to show how AWS RoboMaker can help you build the robot of your dreams. We’ll do a deep dive into the architecture of our robot application. You’ll learn how it uses various AWS services to detect and react to objects. Along the way, we’ll show you how AWS RoboMaker makes it easy to develop and test such applications. Finally, we’ll dive into how AWS RoboMaker deploys your application to a fleet of robots.
Inventory, Track, and Respond to AWS Asset Changes within Seconds at Scale (S...Amazon Web Services
Large AWS environments have assets distributed across many accounts and regions. Ideally, asset inventory should be timely and provide an audit trail to document who made the changes and when. This is required for security teams to quickly react to insecure configurations and for DevOps tooling to manage infrastructure effectively. The traditional means of obtaining the timely and current state of AWS assets is to very frequently poll over the entire infrastructure, often tens of times per minute. This becomes increasingly difficult as AWS infrastructures grow in complexity. Additionally, polling for infrastructure changes provides no auditability context. In this session, learn how to inventory, track, and respond to AWS asset changes with seconds at scale.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. General El...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
Managing Connected Devices at Scale with AWS IoT Device Management, ft. Hudl ...Amazon Web Services
IoT deployments often consist of thousands to millions of devices deployed across multiple locations. It is essential to have a solution to track, monitor, and manage your connected device fleets at scale. In this session, learn how AWS IoT Device Management can help you onboard, remotely manage, and monitor your connected devices. In this session, we discuss key features of AWS IoT Device Management, including fleet indexing and search, remote commands, over-the-air (OTA) updates, and device monitoring. Learn how AWS IoT Device Management can help you scale your fleets and reduce the cost and effort of managing IoT device deployments. Also, representatives from Hudl, the world leader in sports video analysis, discuss how the company is changing the recording and upload process for high schools across the country with their newest product, Hudl Focus.
Another Week, Another Million Containers on Amazon EC2 (CMP376) - AWS re:Inve...Amazon Web Services
Netflix’s container management platform, Titus, powers critical aspects of the Netflix business, including video streaming, recommendations, machine learning, big data, content encoding, studio technology, internal engineering tools, and other Netflix workloads. Titus offers a convenient model for managing compute resources, enables developers to maintain just their application artifacts, and provides a consistent developer experience from a developer’s laptop to production by leveraging Netflix container-focused engineering tools.
Building an AWS IoT-Enabled Drink Dispenser (IOT405) - AWS re:Invent 2018Amazon Web Services
In this workshop, learn how to develop a multi-tenant platform for a connected drink dispenser. Work with firmware on microcontrollers using Amazon FreeRTOS, deploy your own application and user management framework with static Amazon S3 websites and Amazon Cognito, and utilize AWS IoT Core for immediate telemetry, command, and control of your drink dispenser devices. When ready, plug your controller into one of the physical dispensers to complete the workshop.
Voice-Powered Serverless Analytics (SRV240-R1) - AWS re:Invent 2018Amazon Web Services
As a business manager, imagine asking Alexa within a skill that was specifically built for your organization for key insights into your business, such as “Who is our largest customer in Northern California?” or “How has our sales volume grown between Q1 and Q2 in our Asian markets?” In this workshop, you build an Alexa skill that queries metrics from a data lake that you define. The goal is for you to understand how to uncover key performance indicators (KPIs) from a dataset, build and automate queries with AWS Lambda, and access them via Alexa voice-enabled devices. Startups can make available voice-powered analytics to query at any time, and enterprises can deliver these types of solutions to stakeholders so they can have easy access to the business KPIs that are top of mind.
Build a Searchable Media Library & Moderate Content at Scale Using Machine Le...Amazon Web Services
Companies have to process, analyze, and extract meaning from ever-growing volumes of audio, image, and video data. Automating media workflows, such as image and video indexing or manual transcription for closed captions, can help you scale the growth of your media library and save time from manual, error-prone work. In this workshop, you learn how to automate workflows using the Media Analysis Solution, which includes Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend. You learn how to extract metadata from media files and create a searchable library of metadata.
AWS Snowball Edge and AWS Greengrass for Fun and Profit (STG388) - AWS re:Inv...Amazon Web Services
Are you curious about edge computing? Get hands-on training on AWS Greengrass, and learn how to create and deploy custom machine images for AWS Snowball Edge. In this workshop, we focus on a machine learning (ML) use case, and we dive deep into Snowball Edge and AWS Greengrass to process data at the edge. You ingest video as the input for an ML-based pose estimation solution to drive the actions of an augmented reality application in Amazon Sumerian.
Hands-on in the AWS Java Ecosystem (DEV325-R1) - AWS re:Invent 2018Amazon Web Services
The AWS SDK for Java 2.0 includes a number of new features and performance improvements. Using real code examples, we'll build a serverless application that makes use of the SDKs new HTTP2-based event-streaming APIs and deploy it using AWS Java tooling introduced in 2018. You'll learn what's new in 2.0 and the benefits of upgrading, as well as how to take advantage of new tooling in AWS's already rich Java ecosystem.
IoT Microcontrollers and Getting Started with Amazon FreeRTOS (IOT338-R1) - A...Amazon Web Services
Come explore the challenges of embedded development, and learn to use Amazon FreeRTOS to solve these challenges. We cover differentiated features, such as tickless mode for low power consumption and the ecosystem of tools available for development, test, and debug. We also discuss use cases and their choice of microcontroller architecture.
Monitoring Serverless Applications (SRV303-S) - AWS re:Invent 2018Amazon Web Services
Serverless brings many advantages to software development, but it introduces new monitoring challenges as well. Isolated telemetry on individual functions might not provide enough visibility, and instrumentation in a world where 100 ms of extra execution time could cost thousands of dollars might prove prohibitive. In this session, we explore how New Relic enables full observability of the serverless stack, including its executing context, with minimal impact in performance. Learn from customer case studies and real-world examples. This session is brought to you by AWS partner, New Relic.
Enterprise DevOps: Patterns of Efficiency (ENT311-R1) - AWS re:Invent 2018Amazon Web Services
DevOps is a powerful movement that can help enterprises speed up their rate of innovation. But many large organizations struggle to implement DevOps at scale due to conflicts (real and perceived) with existing IT processes. Enterprise DevOps is the convergence of the speed and agility from modern development processes with the governance, security, and compliance control from traditional IT operations processes. In this session, learn how to implement enterprise DevOps in your organization through building a culture of inclusion, common sense, and continuous improvement. Also learn how to incorporate the knowledge from subject matter experts across your business into your automated DevOps guardrails to create the positive feedback loop we call "patterns of efficiency." This session contains actionable advice for leaders from IT as well as finance, compliance, and security departments.
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.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
Join this session to learn the concepts of AWS Greengrass. You have the opportunity to install, run, and configure an AWS Greengrass core. Then, we show you how to connect a device to AWS IoT and to AWS Greengrass. Learn to provision AWS Greengrass and create various communication scenarios in your account. Also, learn how to route messages to locally connected devices, and to and from the cloud.
[NEW LAUNCH!] Scaling Tightly-coupled HPC workloads on HPC with Elastic Fabri...Amazon Web Services
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run HPC applications requiring high levels of inter-instance communications, like computational fluid dynamics, weather modeling, and reservoir simulation, at scale on AWS. It uses a custom-built operating system bypass technique to enhance the performance of inter-instance communications, which is critical to scaling HPC applications. With EFA, HPC applications using popular HPC technologies like Message Passing Interface (MPI) can scale to thousands of CPU cores. Get a deep dive on EFA and learn how to use EFA to enhance application performance for your HPC workloads.
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018Amazon Web Services
Applications can pick up exactly where they left off instead of rebuilding the memory footprint all over again with Amazon EC2 Hibernate. Learn how you can now hibernate your Amazon EC2 instances backed by Amazon EBS and resume them at a later time. Applications that rely on caches and other memory-centric components can take tens of minutes to preload or warm up. You can now pause and resume EC2 Instances running Amazon Linux to get applications up and running quickly today. It’s like closing and opening your laptop!
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
Everywhere there is talk of modernization, containers, Kubernetes, and 900K containerized applications on Docker Hub. Yet only 35% of container workloads are in production. In this session, we explore why so many modernization journeys fail to move from the proof of concept or evaluation phase into production, and how application platforms are helping customers succeed. We explore how application platforms are mitigating the complexities and pitfalls, and how they assist enterprise customers not only in modernizing workloads but building hybrid application workloads and accelerating cloud adoption.
Leadership Session: Using DevOps, Microservices, and Serverless to Accelerate...Amazon Web Services
In this session, learn how AWS can help you innovate faster with DevOps, microservices, and serverless. Join us for a rare and intimate discussion with AWS senior leaders: David Richardson, VP of Serverless, Ken Exner, director of AWS Developer Tools, and Deepak Singh, director of Compute Services, Containers, and Linux. Hear them share development best practices and discuss key learnings from building modern applications at Amazon.com. Also, learn how developers can leverage containers, AWS Lambda, and developer tools to build and run production applications in the cloud.
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
This session will focus on how leveraging Fargate and its serverless approach to deploying and managing containers will help increase operational efficiencies and reduce the time to ramp up your operations to run production containerized workloads. Datree will share their journey to adopt containers and the steps they were able to accelerate and avoid by using Fargate as well do a demo.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
IT infrastructure teams with on-premises applications have to manage storage arrays throughout their never-ending lifecycle, including capacity planning guesswork, hardware failures, system migrations, and more. There are cloud-enabled alternatives to buying more and more storage arrays. With AWS Storage Gateway, you can start using Amazon S3, Amazon Glacier, and Amazon EBS in hybrid architectures with on-premises applications for storage, backup, disaster recovery, tiered storage, hybrid data lakes, and ML. In this session, learn how to use AWS Storage Gateway to seamlessly connect your applications to AWS storage services with familiar block-and-file storage protocols and a local cache for fast access to hot data. We demonstrate our latest capabilities and share best practices from experienced customers.
Continuous Compliance for Modern Application Pipelines (GPSWS402) - AWS re:In...Amazon Web Services
In this workshop, you learn how to build compliance into your CI/CD pipeline. Take a list of real-world HIPAA and PCI requirements, and build a continuous deployment pipeline that ensures compliance and best-practices architecture using AWS services such as AWS CodeStar, AWS Config, Amazon Inspector, AWS X-Ray, AWS Lambda, Amazon S3, AWS Glue, and more. You also have the opportunity to write custom AWS Config rules and ensure that your application is proactively compliant in your builds.
Mythical Mysfits: Management and Ops with AWS Fargate (CON322-R1) - AWS re:In...Amazon Web Services
Help our Mythical Mysfits find their forever homes. Our Mythical stack now supports automated deployments. It's now time to take it to the next level. In this workshop, we give you the hands-on experience you need to run microservices in the real world. We focus on optimizations, management, and troubleshooting with AWS Fargate, Amazon CloudWatch, and other common tools. Proficiency in Docker and AWS is recommended. For a more foundational workshop, consider CON214 and CON321, our other workshops in this series.
AWS and Symantec: Cyber Defense at Scale (SEC311-S) - AWS re:Invent 2018Amazon Web Services
Learn how Symantec uses AWS to provide complete, integrated security solutions that monitor and protect companies and governments from hackers. Hear about lessons learned from how Symantec scaled up its infrastructure to analyze billions of logs every day to detect the world’s most sophisticated cyber attacks, and you’ll see how Symantec integrates with native AWS services, like Amazon GuardDuty, AWS Lambda, and AWS Systems Manager, into its own security solutions to provide even better security in the cloud. This session is brought to you by AWS partner, Symantec Corporation.
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...Amazon Web Services
In this chalk talk, we discuss how you can use Apache MXNet Model Server to deploy ONNX models. We get into the nuts and bolts of deployments, and we discuss monitoring model performance using Amazon CloudWatch integration.
Update Microcontroller Devices Over-the-Air with Amazon FreeRTOS (IOT304-R1) ...Amazon Web Services
Dive into over-the-air (OTA) updates with Amazon FreeRTOS. Amazon FreeRTOS makes deploying OTA updates for microcontroller-based devices less memory-intensive by communicating those updates over a single TLS connection shared with other AWS IoT Core communications. You provide a firmware image, select the devices to update, select a code signing method, and schedule the update, all within the AWS IoT Device Management Console. You can use OTA updates to deploy security updates, bug fixes, and new firmware updates to devices in the field.
Day Two Operations of Kubernetes on AWS (GPSTEC309) - AWS re:Invent 2018Amazon Web Services
You've spent the time designing, architecting, setting up, and configuring your Kubernetes cluster. Now, it's on to day two. "Day two" refers to the functions of scaling, optimizing, monitoring, securing, and in general keeping the lights on. In this talk, we discuss the tools that you have available to help you build a reliable and resilient Kubernetes cluster and run workloads in production. We discuss how to control the network, secure your environment using threat detection, scan your containers for vulnerabilities, use monitoring tools, and create scalable containers and clusters.
AWS Greengrass & Amazon FreeRTOS: Connectivity & Security at the Edge (IOT356...Amazon Web Services
In this session, we discuss how customers can use Amazon FreeRTOS on microcontrollers with AWS Greengrass at the edge. We walk through connecting your devices running Amazon FreeRTOS and connecting devices to AWS Greengrass. We also show you how these two services can work together to solve customer use cases. In addition, we cover security best practices for key management and TLS implementation across Amazon FreeRTOS and AWS Greengrass.
Code in the Cloud- Deploy on Microcontroller and Edge DevicesAmazon Web Services
Level: Intermediate
In this session, you'll learn how to connect microcontroller-based embedded devices and extend AWS to your more powerful, IoT edge devices. We'll also show you how how to apply cloud programming to your devices to create powerful, end to end solutions. This session will cover the use of Amazon FreeRTOS, AWS Greengrass, AWS IoT Device Management, AWS IoT Analytics and Amazon Sagemaker.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
AWS Snowball Edge and AWS Greengrass for Fun and Profit (STG388) - AWS re:Inv...Amazon Web Services
Are you curious about edge computing? Get hands-on training on AWS Greengrass, and learn how to create and deploy custom machine images for AWS Snowball Edge. In this workshop, we focus on a machine learning (ML) use case, and we dive deep into Snowball Edge and AWS Greengrass to process data at the edge. You ingest video as the input for an ML-based pose estimation solution to drive the actions of an augmented reality application in Amazon Sumerian.
Hands-on in the AWS Java Ecosystem (DEV325-R1) - AWS re:Invent 2018Amazon Web Services
The AWS SDK for Java 2.0 includes a number of new features and performance improvements. Using real code examples, we'll build a serverless application that makes use of the SDKs new HTTP2-based event-streaming APIs and deploy it using AWS Java tooling introduced in 2018. You'll learn what's new in 2.0 and the benefits of upgrading, as well as how to take advantage of new tooling in AWS's already rich Java ecosystem.
IoT Microcontrollers and Getting Started with Amazon FreeRTOS (IOT338-R1) - A...Amazon Web Services
Come explore the challenges of embedded development, and learn to use Amazon FreeRTOS to solve these challenges. We cover differentiated features, such as tickless mode for low power consumption and the ecosystem of tools available for development, test, and debug. We also discuss use cases and their choice of microcontroller architecture.
Monitoring Serverless Applications (SRV303-S) - AWS re:Invent 2018Amazon Web Services
Serverless brings many advantages to software development, but it introduces new monitoring challenges as well. Isolated telemetry on individual functions might not provide enough visibility, and instrumentation in a world where 100 ms of extra execution time could cost thousands of dollars might prove prohibitive. In this session, we explore how New Relic enables full observability of the serverless stack, including its executing context, with minimal impact in performance. Learn from customer case studies and real-world examples. This session is brought to you by AWS partner, New Relic.
Enterprise DevOps: Patterns of Efficiency (ENT311-R1) - AWS re:Invent 2018Amazon Web Services
DevOps is a powerful movement that can help enterprises speed up their rate of innovation. But many large organizations struggle to implement DevOps at scale due to conflicts (real and perceived) with existing IT processes. Enterprise DevOps is the convergence of the speed and agility from modern development processes with the governance, security, and compliance control from traditional IT operations processes. In this session, learn how to implement enterprise DevOps in your organization through building a culture of inclusion, common sense, and continuous improvement. Also learn how to incorporate the knowledge from subject matter experts across your business into your automated DevOps guardrails to create the positive feedback loop we call "patterns of efficiency." This session contains actionable advice for leaders from IT as well as finance, compliance, and security departments.
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.
Getting Started with AWS Greengrass (IOT215-R3) - AWS re:Invent 2018Amazon Web Services
Join this session to learn the concepts of AWS Greengrass. You have the opportunity to install, run, and configure an AWS Greengrass core. Then, we show you how to connect a device to AWS IoT and to AWS Greengrass. Learn to provision AWS Greengrass and create various communication scenarios in your account. Also, learn how to route messages to locally connected devices, and to and from the cloud.
[NEW LAUNCH!] Scaling Tightly-coupled HPC workloads on HPC with Elastic Fabri...Amazon Web Services
Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run HPC applications requiring high levels of inter-instance communications, like computational fluid dynamics, weather modeling, and reservoir simulation, at scale on AWS. It uses a custom-built operating system bypass technique to enhance the performance of inter-instance communications, which is critical to scaling HPC applications. With EFA, HPC applications using popular HPC technologies like Message Passing Interface (MPI) can scale to thousands of CPU cores. Get a deep dive on EFA and learn how to use EFA to enhance application performance for your HPC workloads.
Pause and Resume your EC2 Instances with Hibernate (CMP392) - AWS re:Invent 2018Amazon Web Services
Applications can pick up exactly where they left off instead of rebuilding the memory footprint all over again with Amazon EC2 Hibernate. Learn how you can now hibernate your Amazon EC2 instances backed by Amazon EBS and resume them at a later time. Applications that rely on caches and other memory-centric components can take tens of minutes to preload or warm up. You can now pause and resume EC2 Instances running Amazon Linux to get applications up and running quickly today. It’s like closing and opening your laptop!
Making Hybrid Work for You: Getting into the Cloud Fast (GPSTEC308) - AWS re:...Amazon Web Services
Everywhere there is talk of modernization, containers, Kubernetes, and 900K containerized applications on Docker Hub. Yet only 35% of container workloads are in production. In this session, we explore why so many modernization journeys fail to move from the proof of concept or evaluation phase into production, and how application platforms are helping customers succeed. We explore how application platforms are mitigating the complexities and pitfalls, and how they assist enterprise customers not only in modernizing workloads but building hybrid application workloads and accelerating cloud adoption.
Leadership Session: Using DevOps, Microservices, and Serverless to Accelerate...Amazon Web Services
In this session, learn how AWS can help you innovate faster with DevOps, microservices, and serverless. Join us for a rare and intimate discussion with AWS senior leaders: David Richardson, VP of Serverless, Ken Exner, director of AWS Developer Tools, and Deepak Singh, director of Compute Services, Containers, and Linux. Hear them share development best practices and discuss key learnings from building modern applications at Amazon.com. Also, learn how developers can leverage containers, AWS Lambda, and developer tools to build and run production applications in the cloud.
Operational Excellence with Containerized Workloads Using AWS Fargate (CON320...Amazon Web Services
This session will focus on how leveraging Fargate and its serverless approach to deploying and managing containers will help increase operational efficiencies and reduce the time to ramp up your operations to run production containerized workloads. Datree will share their journey to adopt containers and the steps they were able to accelerate and avoid by using Fargate as well do a demo.
AWS re:Invent 2018: Deep Dive: Hybrid Cloud Storage Arch. w/Storage Gateway, ...Amazon Web Services
IT infrastructure teams with on-premises applications have to manage storage arrays throughout their never-ending lifecycle, including capacity planning guesswork, hardware failures, system migrations, and more. There are cloud-enabled alternatives to buying more and more storage arrays. With AWS Storage Gateway, you can start using Amazon S3, Amazon Glacier, and Amazon EBS in hybrid architectures with on-premises applications for storage, backup, disaster recovery, tiered storage, hybrid data lakes, and ML. In this session, learn how to use AWS Storage Gateway to seamlessly connect your applications to AWS storage services with familiar block-and-file storage protocols and a local cache for fast access to hot data. We demonstrate our latest capabilities and share best practices from experienced customers.
Continuous Compliance for Modern Application Pipelines (GPSWS402) - AWS re:In...Amazon Web Services
In this workshop, you learn how to build compliance into your CI/CD pipeline. Take a list of real-world HIPAA and PCI requirements, and build a continuous deployment pipeline that ensures compliance and best-practices architecture using AWS services such as AWS CodeStar, AWS Config, Amazon Inspector, AWS X-Ray, AWS Lambda, Amazon S3, AWS Glue, and more. You also have the opportunity to write custom AWS Config rules and ensure that your application is proactively compliant in your builds.
Mythical Mysfits: Management and Ops with AWS Fargate (CON322-R1) - AWS re:In...Amazon Web Services
Help our Mythical Mysfits find their forever homes. Our Mythical stack now supports automated deployments. It's now time to take it to the next level. In this workshop, we give you the hands-on experience you need to run microservices in the real world. We focus on optimizations, management, and troubleshooting with AWS Fargate, Amazon CloudWatch, and other common tools. Proficiency in Docker and AWS is recommended. For a more foundational workshop, consider CON214 and CON321, our other workshops in this series.
AWS and Symantec: Cyber Defense at Scale (SEC311-S) - AWS re:Invent 2018Amazon Web Services
Learn how Symantec uses AWS to provide complete, integrated security solutions that monitor and protect companies and governments from hackers. Hear about lessons learned from how Symantec scaled up its infrastructure to analyze billions of logs every day to detect the world’s most sophisticated cyber attacks, and you’ll see how Symantec integrates with native AWS services, like Amazon GuardDuty, AWS Lambda, and AWS Systems Manager, into its own security solutions to provide even better security in the cloud. This session is brought to you by AWS partner, Symantec Corporation.
Deploying Your ONNX Deep Learning with Apache MXNet Model Server (AIM413) - A...Amazon Web Services
In this chalk talk, we discuss how you can use Apache MXNet Model Server to deploy ONNX models. We get into the nuts and bolts of deployments, and we discuss monitoring model performance using Amazon CloudWatch integration.
Update Microcontroller Devices Over-the-Air with Amazon FreeRTOS (IOT304-R1) ...Amazon Web Services
Dive into over-the-air (OTA) updates with Amazon FreeRTOS. Amazon FreeRTOS makes deploying OTA updates for microcontroller-based devices less memory-intensive by communicating those updates over a single TLS connection shared with other AWS IoT Core communications. You provide a firmware image, select the devices to update, select a code signing method, and schedule the update, all within the AWS IoT Device Management Console. You can use OTA updates to deploy security updates, bug fixes, and new firmware updates to devices in the field.
Day Two Operations of Kubernetes on AWS (GPSTEC309) - AWS re:Invent 2018Amazon Web Services
You've spent the time designing, architecting, setting up, and configuring your Kubernetes cluster. Now, it's on to day two. "Day two" refers to the functions of scaling, optimizing, monitoring, securing, and in general keeping the lights on. In this talk, we discuss the tools that you have available to help you build a reliable and resilient Kubernetes cluster and run workloads in production. We discuss how to control the network, secure your environment using threat detection, scan your containers for vulnerabilities, use monitoring tools, and create scalable containers and clusters.
AWS Greengrass & Amazon FreeRTOS: Connectivity & Security at the Edge (IOT356...Amazon Web Services
In this session, we discuss how customers can use Amazon FreeRTOS on microcontrollers with AWS Greengrass at the edge. We walk through connecting your devices running Amazon FreeRTOS and connecting devices to AWS Greengrass. We also show you how these two services can work together to solve customer use cases. In addition, we cover security best practices for key management and TLS implementation across Amazon FreeRTOS and AWS Greengrass.
Code in the Cloud- Deploy on Microcontroller and Edge DevicesAmazon Web Services
Level: Intermediate
In this session, you'll learn how to connect microcontroller-based embedded devices and extend AWS to your more powerful, IoT edge devices. We'll also show you how how to apply cloud programming to your devices to create powerful, end to end solutions. This session will cover the use of Amazon FreeRTOS, AWS Greengrass, AWS IoT Device Management, AWS IoT Analytics and Amazon Sagemaker.
Who Should Attend: Developers, Coders, Engineers, System Administrators, IT Managers, Solutions Architects and Product Heads.
Today, consumer device manufacturers are not only innovating on connected home products to delight the smart home customer, but also working alongside developers in building Approved smart home applications to bring voice-controlled experiences in the smart home market. AWS IoT is enabling developers to create Approved connected home experiences in a secure, reliable, and cost-effective way. In this session, we walk through various use cases on how AWS IoT can help you develop Approved smart home applications for scenarios such as home automation, home security and monitoring, and home networking. Attendees also learn how to build a simple backend service using AWS IoT to support an Alexa Smart Home skill.
Machine learning at the IoT Edge with AWS IoT Greengrass - SVC203 - Atlanta A...Amazon Web Services
Whether it’s connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this chalk talk, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications.
Machine Learning (ML) works by using powerful algorithms to discover patterns in data, and constructing complex mathematical models using these patterns. Once a model is built, you perform inference by applying data to the trained model to make predictions for your application. Building and training ML models requires massive computing resources so it is a natural fit for the cloud. But, inference takes a lot less computing power and is typically done in real-time when new data is available, so getting inference results with very low latency is important to making sure your applications can respond quickly to local events. AWS Greengrass ML inference gives you the best of both worlds. You use ML models that are built and trained in the cloud, and you deploy and run ML inference locally on connected devices. For example, autonomous cars need to identify road signs in real time; and drones need to recognize objects with or without network connectivity.
NEW LAUNCH! AWS Greengrass and Amazon FreeRTOS: Connectivity and Security at ...Amazon Web Services
This is a 400 level session that will discuss how customers can use Amazon FreeRTOS on microcontrollers with Greengrass at the edge. It will walk through connecting your devices running Amazon FreeRTOS, how to connect devices to Greengrass, and how these two services can work together to solve customer use cases. We will also cover security and authorization across Amazon FreeRTOS and Greengrass.
Alexa skills allow you to expand the voice assistant capabilities beyond what comes out of the box. In addition to more than 30,000 available Alexa skills out there, you can start developing your own skill tomorrow morning.
This session will give you an high level review of the different AWS services that can help you develop and run your skill in minutes. We will cover AWS Lambda, DynamoDB, S3 and other tools and services that will help you run your skills at scale.
In this session delivered by the VP of AWS IoT, we cover how AWS IoT is being deployed across consumer, commercial, and industrial applications. See how customers are securely connecting and managing devices and creating analytics and machine learning (ML) based on IoT data. AWS IoT applications run in the cloud to enable massive scalablity or at the edge to enable real-time local action. Come away with an understanding how IoT is transforming business and what's new from AWS IoT.
Computing at the Edge with AWS Greengrass and Amazon FreeRTOS, ft. Enel (IOT2...Amazon Web Services
Edge computing is all about moving compute power to the source of the data instead of having to bring it to the cloud. The edge is a fundamental part of IoT, and it is not only about connecting things to the internet. In this sesssion, we discuss how AWS Greengrass, which is an IoT edge software, can power devices small and large, from a sensor all the way to a wind turbine. With AWS Greengrass, these IoT devices can securely gather data, keep device data in sync, and communicate with each other while still using the cloud for management, analytics, and durable storage. Join us to learn more about the edge of IoT.
In this session from IoT World 2019, Craig Williams shared how AWS IoT helps our customers around the world easily deploy IoT solutions. He shares how you can use our services to easily collect and analyze data, take preventative measures to secure their fleet of devices, actively monitor devices, and deploy machine learning models onto the devices.
SRV201 Push Intelligence to the Edge Machine Learning on AWS Greengrass Devices Amazon Web Services
Whether it’s connected cars, smart home devices, or industrial applications, IoT applications are rapidly becoming more intelligent. Edge computing is helping lead this transformation as IoT devices not only collect and transmit data, but also perform predictive analytics and respond to local events, even without cloud connectivity. In this session, learn about ML inference at the edge, why it matters, and how to use it to build intelligent IoT applications. Through customer use cases, we demonstrate how to use AWS Greengrass to locate cloud-trained ML models, deploy them to your AWS Greengrass devices, enable access to on-device computing power, and apply the models to locally generated data without connection to the cloud.
IoT Compute at the Edge with AWS Greengrass - GOTO AmsterdamBoaz Ziniman
AWS Greengrass extends AWS IoT Core onto your devices, so they can act locally on the data they generate, while still taking advantage of the cloud. In this session we discuss and demo the challenges of running IoT devices and how we solve them with AWS Greengrass features and development languages that let you build powerful edge compute applications.
Perform Machine Learning at the IoT Edge using AWS Greengrass and Amazon Sage...Amazon Web Services
"Learning Objectives:
- Develop intelligent IoT edge solutions using AWS Greengrass
- Develop data science models in the cloud with Amazon SageMaker
- Learn how AWS Greengrass and Amazon SageMaker enable you to perform machine learning at the edge"
Introducing the New Features of AWS Greengrass (IOT365) - AWS re:Invent 2018Amazon Web Services
With AWS Greengrass, you can bring local compute, messaging, data caching, sync, and machine-learning inference capabilities to edge devices. Join us in this session to learn about new features that extend the capabilities of AWS Greengrass devices.
In this workshop, we introduce AWS IoT Greengrass, discuss its components and features, and share how customers use it to process and route data at the edge. Learn how to connect a "thing" to AWS IoT Core and AWS IoT Greengrass core, provision a Greengrass group, configure the group, and deploy to a Greengrass-enabled device. You also learn how local devices discover and route data to an AWS IoT Greengrass core. Finally, you learn how AWS IoT Greengrass enables the local execution of AWS Lambda code, messaging, data caching, and security.
Using AWS Lambda as a Security Team (SEC322-R1) - AWS re:Invent 2018Amazon Web Services
Operating a security practice on AWS brings many new challenges and opportunities that have not been addressed in data center environments. The dynamic nature of infrastructure, the relationship between development team members and their applications, and the architecture paradigms have all changed as a result of building software on top of AWS. In this session, learn how your security team can leverage AWS Lambda as a tool to monitor, audit, and enforce your security policies within an AWS environment.
Building IoT Applications for a Smart Home, ft. Vestel (IOT306-R1) - AWS re:I...Amazon Web Services
The IoT transformation begins at home. Today, device manufacturers and network providers are building groundbreaking connected devices and applications to make your home smarter. In this session, we dive into the best practices and common patterns for building connected devices and applications for a Smart Home. This session focuses on securely onboarding your devices to a consumer's account, leveraging IoT, using ML at the edge, and video streaming for home security. By the end of the session, you'll have a set of best practices for how to build IoT products in the Smart Home. Also hear from Vestel about their smart home application.
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices and with AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices can leverage AWS IoT and use AWS IoT Button to demonstrate building a real connected product, securely connect with AWS IoT.
Introduction to AWS IoT Greengrass - SVC305 - Chicago AWS SummitAmazon Web Services
An increasingly popular method for relieving some of the workload for Internet of Things (IoT) applications is to move some of the compute chores to edge devices, allowing these devices to locally process some or all of the data they generate. In this workshop, we introduce AWS IoT Greengrass, discuss its components and features, and share how customers use it to process and route data at the edge. You learn how to connect a “thing” to AWS IoT Core and AWS IoT Greengrass core, provision an AWS IoT Greengrass group, configure the group, deploy to an AWS IoT Greengrass–enabled device, and more.
Driving Innovation with Serverless Applications (GPSBUS212) - AWS re:Invent 2018Amazon Web Services
Serverless computing enables you to build and run applications without the need to provision, manage servers, or worry about the availability or scalability of your solutions. With serverless computing, you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, Amazon API Gateway, Amazon DynamoDB, and more.
Similar to Machine Learning at the IoT Edge (IOT214) - AWS re:Invent 2018 (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
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.