Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
DAT302_Deep Dive on Amazon Relational Database Service (RDS)Amazon Web Services
Amazon RDS enables customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of the RDS service and review the latest features available. We do a deep dive into how RDS works and the best practices to achieve the optimal performance, flexibility, and cost saving for your databases.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
For organizations looking to glean insights from their data, it is essential to deploy the right environment to successfully support analytics workloads. Learn about the different storage options from AWS, and discuss with our experts how to select the best option for your big data analytics workloads. Hear how one customer, ViaSat, used Amazon EBS for their Apache Kafka and Apache Hadoop workload to improve cost and performance. We also describe best practices and share tips for success throughout.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
In this mid-level architecture session, we cover everything you need to get started with Amazon Route 53, AWS's highly available DNS service. Learn how to use public DNS, including routing techniques such as weighted round-robin, latency-based routing, and geo DNS. Learn also how to configure DNS failover using health checks, how and when to use private DNS within your VPC, and how Amazon Route 53 interacts with Amazon EC2's DNS for instance naming and DNS resolution across your network. We also walk through how to use Traffic Flow to manager traffic to your applications' globally distributed endpoints to optimize for constraints such as endpoint load, the health of your resources, geographic restrictions, and internet latency.
DEV333_Using Amazon CloudWatch for Amazon ECS Resource Monitoring at ScaleAmazon Web Services
Learn how Mapbox improved and leveled up their Amazon ECS monitoring by using Amazon CloudWatch Events and custom metrics. We cover the events that kick off data collection, which enables our team to track the trillions of compute seconds happening every day on Mapbox’s ECS clusters. The result of the data collection includes custom metrics and alarms used to inform stakeholders across Mapbox about detailed ECS usage, so development teams and finance alike can easily put a price tag on each container.
In this session, we introduce you to the best practices for migrating databases, such as traditional RDBMS or other NoSQL databases to Amazon DynamoDB. We discuss DynamoDB key concepts, evaluation criteria, data modeling in DynamoDB, how to move data into DynamoDB, and data migration key considerations. We share a case study of Samsung Electronics, which migrated their Cassandra cluster to DynamoDB for their Samsung Cloud workload.
ARC306_High Resiliency & Availability Of Online Entertainment Communities Usi...Amazon Web Services
With increase in popularity of online engagement as a means of entertainment, broad use of wide range of communities have become popular. These communities need to be highly available and resilient at scale. Failure of availability could be fatal to the product that are used by the customer. We will share the process you should use to develop your architectural principles that will allow you to reap the benefits of reduced complexity.
DAT302_Deep Dive on Amazon Relational Database Service (RDS)Amazon Web Services
Amazon RDS enables customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six database engines to choose from, including Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session, we take a closer look at the capabilities of the RDS service and review the latest features available. We do a deep dive into how RDS works and the best practices to achieve the optimal performance, flexibility, and cost saving for your databases.
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
For organizations looking to glean insights from their data, it is essential to deploy the right environment to successfully support analytics workloads. Learn about the different storage options from AWS, and discuss with our experts how to select the best option for your big data analytics workloads. Hear how one customer, ViaSat, used Amazon EBS for their Apache Kafka and Apache Hadoop workload to improve cost and performance. We also describe best practices and share tips for success throughout.
In this popular session, discover how Amazon EBS can take your application deployments on Amazon EC2 to the next level. Learn about Amazon EBS features and benefits, how to identify applications that are appropriate for use with Amazon EBS, best practices, and details about its performance and volume types. The target audience is storage administrators, application developers, applications owners, and anyone who wants to understand how to optimize performance for Amazon EC2 using the power of Amazon EBS.
In this mid-level architecture session, we cover everything you need to get started with Amazon Route 53, AWS's highly available DNS service. Learn how to use public DNS, including routing techniques such as weighted round-robin, latency-based routing, and geo DNS. Learn also how to configure DNS failover using health checks, how and when to use private DNS within your VPC, and how Amazon Route 53 interacts with Amazon EC2's DNS for instance naming and DNS resolution across your network. We also walk through how to use Traffic Flow to manager traffic to your applications' globally distributed endpoints to optimize for constraints such as endpoint load, the health of your resources, geographic restrictions, and internet latency.
DEV333_Using Amazon CloudWatch for Amazon ECS Resource Monitoring at ScaleAmazon Web Services
Learn how Mapbox improved and leveled up their Amazon ECS monitoring by using Amazon CloudWatch Events and custom metrics. We cover the events that kick off data collection, which enables our team to track the trillions of compute seconds happening every day on Mapbox’s ECS clusters. The result of the data collection includes custom metrics and alarms used to inform stakeholders across Mapbox about detailed ECS usage, so development teams and finance alike can easily put a price tag on each container.
In this session, we introduce you to the best practices for migrating databases, such as traditional RDBMS or other NoSQL databases to Amazon DynamoDB. We discuss DynamoDB key concepts, evaluation criteria, data modeling in DynamoDB, how to move data into DynamoDB, and data migration key considerations. We share a case study of Samsung Electronics, which migrated their Cassandra cluster to DynamoDB for their Samsung Cloud workload.
ARC306_High Resiliency & Availability Of Online Entertainment Communities Usi...Amazon Web Services
With increase in popularity of online engagement as a means of entertainment, broad use of wide range of communities have become popular. These communities need to be highly available and resilient at scale. Failure of availability could be fatal to the product that are used by the customer. We will share the process you should use to develop your architectural principles that will allow you to reap the benefits of reduced complexity.
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
CMP217_Scale In-Memory Workloads on Amazon EC2 X1 and X1e Instances with up t...Amazon Web Services
Amazon EC2 X1 and X1e instances are designed to demand memory-optimized enterprise workloads, including production installations of SAP HANA, Microsoft SQL Server, Apache Spark, and Presto. Just recently released, x1e.32xlarge are our largest cloud-native instances yet, offering 4 TB of DDR4 memory per instance. Join this session for a detailed look into this new instance, and learn how enterprise customers are using these instances to run mission-critical workloads, such as SAP HANA, to realize greater speed and agility.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
STG329_ProtectWise optimizes performance of Cassandra and Kafka workloads wit...Amazon Web Services
ProtectWise shifts network security to the cloud to provide complete visibility and detection of enterprise threats and incident response. Built entirely on AWS, the ProtectWise grid has the unique ability to create an unlimited retention window with full-fidelity forensics, automated retrospection, and advanced visualization. To enable customers to store petabytes of networking data and analyze it in seconds, they use Apache Solr and Apache Cassandra to analyze encrypted raw packet data and metadata about network packets—billions of items per day. Maintaining an architecture to handle a large volume of data requires an innovative architecture at a cost-effective standpoint. In this session, you learn how ProjectWise has optimized their solution on AWS using hot, warm, and cold shards across EC2 instance store, Amazon Elastic Block Store (Amazon EBS), and Amazon S3 for cost and scalability.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
MCL314_Unlocking Media Workflows Using Amazon RekognitionAmazon Web Services
Companies can have large amounts of image and video content in storage with little or no insight about what they have—effectively sitting on an untapped licensing and advertising goldmine. Learn how media companies are using Amazon Rekognition APIs for object or scene detection, facial analysis, facial recognition, or celebrity recognition to automatically generate metadata for images to provide new licensing and advertising revenue opportunities. Understand how to use Amazon Rekognition APIs to index faces into a collection at high scale, filter frames from a video source for processing, perform face matches that populate a person index in ElasticSearch, and use the Amazon Rekognition celebrity match feature to optimize the process for faster time to market and more accurate results.
Many customers want a disaster recovery environment, and they want to use this environment daily and know that it's in sync with and can support a production workload. This leads them to an active-active architecture. In other cases, users like Netflix and Lyft are distributed over large geographies. In these cases, multi-region active-active deployments are not optional. Designing these architectures is more complicated than it appears, as data being generated at one end needs to be synced with data at the other end. There are also consistency issues to consider. One needs to make trade-off decisions on cost, performance, and consistency. Further complicating matters is the variety of data stores used in the architecture results in a variety replication methods. In this session, we explore how to design an active-active multi-region architecture using AWS services, including Amazon Route 53, Amazon RDS multi-region replication, AWS DMS, and Amazon DynamoDB Streams. We discuss the challenges, trade-offs, and solutions.
In this session, we explore the new Network Load Balancer that was launched as part of the Elastic Load Balancing service, which can load balance any kind of TCP traffic. This offers customers a high-performance, scalable, low-cost load balancer that can handle millions of requests per second with very low latencies, while maintaining high levels of performance. Come and learn more about this new Network Load Balancer.
STG320 Storage Workshop Participants in this workshop work through real-world scenarios for migrating from traditional on-premises storage to cloud-based hybrid storage solutions. The session includes an overview of the common challenges and considerations for migrating large datasets into the cloud. We also provide an overview of the AWS Snowball and AWS Storage Gateway services. Participants get an opportunity to learn about AWS hybrid storage services and gain hands-on experience. AWS re:Invent 2017, Amazon, Storage, STG320, AI, AWS Snowball, AWS Snowball, AWS Storage Gateway, Hybrid, Storage,reinvent2017
Do you have on-premises tape backups or expensive VTL hardware? Worried about moving cases of tapes off site? Not sure about the integrity of your data on tape? Learn how to use AWS services, including AWS Storage Gateway, to replace existing traditional approaches. Using Storage Gateway and standard backup software, you can back up to Amazon S3 and Amazon Glacier or tier snapshots to AWS. This enables both long-term data retention for compliance, and also recovery into Amazon EC2, locally, or to another site in case of a disaster. Southern Oregon University shares how they replaced tape backups with AWS, and the lessons learned in the process.
The backend for the Snapchat Stories feature includes Snapchat's largest storage write workload. Learn how we rebuilt this workload for Amazon DynamoDB and executed the migration. Safely moving such a critical and high-scale piece of the Stories infrastructure to a new system, right before yearly peak usage, led to interesting challenges. In this session, we cover data model changes to leverage DynamoDB strengths and improve both performance and cost. We also cover challenges and risks in making remote calls across cloud providers, dealing with issues of scale, forecasting capacity requirements, and how to mitigate the risks of taking an unproven system through the dramatic traffic spikes that occur on New Year's Eve.
Optimizing EC2 for Fun and Profit #bigsavings #newfeatures - CMP202 - re:Inve...Amazon Web Services
What if I told you that you could improve your EC2 performance and availability and save money… Interested? Want to learn how to use all the latest functionality including [NEW] EC2 features launched at re:Invent to optimize your spend… How about now? In this session, you’ll learn how to seamlessly combine On-Demand, Spot and Reserved Instances, and how to use the best practices deployed by customers all over the world for the most common applications and workloads.
After just one hour you’ll leave armed with multiple ways to grow your compute capacity and to enable new types of cloud computing applications - without it costing you an arm and a leg.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot Instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; and choosing the optimal instance type through load testing. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by serverless. Even if you already enjoy the benefits of serverless architectures, we show you how to select the optimal AWS Lambda memory class and how to maximize networking throughput in order to minimize Lambda run-time and therefore execution cost. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the AWS Cloud.
CMP315_Optimizing Network Performance for Amazon EC2 InstancesAmazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features—such as enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-effective manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
What's New for AWS Purpose Built, Non-relational Databases - DAT204 - re:Inve...Amazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, will cover what's new in AWS non-relational data services, such as Amazon DynamoDB, Amazon ElastiCache, and Amazon Elastisearch. We will discuss how developers might select different data services to solve different aspects of an application and demo scenarios on which application use cases lend themselves well to which data services. If you’re a developer building massively scaled applications, requiring flexibility, consistent millisecond performance, and trying to understand what non-relational data service you might use, this is a great introductory session.
STG307_Deep Dive on Amazon Elastic File System (Amazon EFS)Amazon Web Services
In this session, we explore the world’s first cloud-scale file system and its targeted use cases. Learn about Amazon EFS features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and applications owners who operate or build file-based applications.
AWS Database and Analytics State of the Union - 2017 - DAT201 - re:Invent 2017Amazon Web Services
In this session, we discuss the evolution of database and analytics services in AWS, the new database and analytics services and features we launched this year, and our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different forms. Storage, management, and analysis of this data require database services that scale and perform in ways not possible before. AWS offers a collection of database and other data services—including Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR—to process, store, manage, and analyze data. In this session, we provide an overview of AWS database and analytics services and discuss how customers are using these services today.
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, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
Amazon EC2 provides resizable compute capacity in the cloud, and is designed to make web-scale computing easier. This web service offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high performance computing (HPC)—all with flexible pricing options. In this session, we learn about the latest Amazon EC2 features and capabilities, including new instance families, differences among hardware types and capabilities, and optimal use cases.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, understand the differences among their hardware types and capabilities, and explore their optimal use cases.
NET309_Best Practices for Securing an Amazon Virtual Private CloudAmazon Web Services
This workshop will provide practical advice and guidance for designing and building secure Amazon Virtual Private Clouds (VPCs). Using a hands-on approach, we'll take you through Amazon VPC features such as subnets, security groups, network ACLs, routing, flow logs and service endpoints. The AWS team will also provide some guidance around best practices for VPC design and management, based on our experience of supporting customers running large-scale infrastructures.
STG330_Case Study How Experian Leverages Amazon EC2, EBS, and S3 with Clouder...Amazon Web Services
Experian gathers, analyzes, and processes credit data at massive scale to help businesses make smarter decisions, individuals gain access to financial services, and lenders to minimize risk. The company built its petabyte-scale data-ingestion and analytics solution using CDH (Cloudera Distribution Including Apache Hadoop) running on Amazon EC2, with data stored in Amazon EBS and Amazon S3. This next generation big data platform aims to improve the data accuracy by moving away from traditional batch uploads to a real-time API-based ingestion process. In this talk, you will learn how Experian has leveraged different AWS compute and storage services for agility and quicker time to market. We will discuss lessons learned and best practices for success throughout.
CMP217_Scale In-Memory Workloads on Amazon EC2 X1 and X1e Instances with up t...Amazon Web Services
Amazon EC2 X1 and X1e instances are designed to demand memory-optimized enterprise workloads, including production installations of SAP HANA, Microsoft SQL Server, Apache Spark, and Presto. Just recently released, x1e.32xlarge are our largest cloud-native instances yet, offering 4 TB of DDR4 memory per instance. Join this session for a detailed look into this new instance, and learn how enterprise customers are using these instances to run mission-critical workloads, such as SAP HANA, to realize greater speed and agility.
If you want to deliver videos to all consumers on all devices, building such workloads is complex, time consuming, and expensive. Now, it is fast and easy to implement video-on-demand workflows on AWS and distribute video content to a global audience. Companies, small or large and in various industries, can deliver streaming video without complex professional video tools. In this session, learn how to build complex video workflows entirely in code using AWS services.
STG329_ProtectWise optimizes performance of Cassandra and Kafka workloads wit...Amazon Web Services
ProtectWise shifts network security to the cloud to provide complete visibility and detection of enterprise threats and incident response. Built entirely on AWS, the ProtectWise grid has the unique ability to create an unlimited retention window with full-fidelity forensics, automated retrospection, and advanced visualization. To enable customers to store petabytes of networking data and analyze it in seconds, they use Apache Solr and Apache Cassandra to analyze encrypted raw packet data and metadata about network packets—billions of items per day. Maintaining an architecture to handle a large volume of data requires an innovative architecture at a cost-effective standpoint. In this session, you learn how ProjectWise has optimized their solution on AWS using hot, warm, and cold shards across EC2 instance store, Amazon Elastic Block Store (Amazon EBS), and Amazon S3 for cost and scalability.
Surveys consistently rank backup as one of the first workloads to move to the cloud. But what does it really look like? This session gives backup managers and admins the straight story on streamlining AWS Cloud integration with existing on-premises data backup software, tape processes, virtual tape libraries, third-party snapshots, file servers, and archives. Learn how to choose the right integration with varying degrees of disruption, how to automatically migrate data for cost reductions and compliance, and how to recover individual files or many files fast. We discuss Amazon S3, Amazon Glacier, Amazon EFS, AWS Snowball, AWS Storage Gateway (both as VTL and File Gateway), and third-party partner integrations.
CTD201_Introduction to Amazon CloudFront and AWS Lambda@EdgeAmazon Web Services
End users expect to be able to view static, dynamic, and streaming content anytime, anywhere, and on any device. Amazon CloudFront is a web service that accelerates delivery of your websites, APIs, video content, or other web assets to end users around the globe with low latency, high data transfer speeds, and no commitments. In this session, learn what a content delivery network (CDN) such as Amazon CloudFront is and how it works, the benefits it provides, common challenges and needs, performance, recently released features and examples of how customers are using CloudFront. You will also learn about recustomizing content delivery through AWS Lambda@Edge - a serverless compute service that lets you execute functions to customize the content delivered through CloudFront.
MCL314_Unlocking Media Workflows Using Amazon RekognitionAmazon Web Services
Companies can have large amounts of image and video content in storage with little or no insight about what they have—effectively sitting on an untapped licensing and advertising goldmine. Learn how media companies are using Amazon Rekognition APIs for object or scene detection, facial analysis, facial recognition, or celebrity recognition to automatically generate metadata for images to provide new licensing and advertising revenue opportunities. Understand how to use Amazon Rekognition APIs to index faces into a collection at high scale, filter frames from a video source for processing, perform face matches that populate a person index in ElasticSearch, and use the Amazon Rekognition celebrity match feature to optimize the process for faster time to market and more accurate results.
Many customers want a disaster recovery environment, and they want to use this environment daily and know that it's in sync with and can support a production workload. This leads them to an active-active architecture. In other cases, users like Netflix and Lyft are distributed over large geographies. In these cases, multi-region active-active deployments are not optional. Designing these architectures is more complicated than it appears, as data being generated at one end needs to be synced with data at the other end. There are also consistency issues to consider. One needs to make trade-off decisions on cost, performance, and consistency. Further complicating matters is the variety of data stores used in the architecture results in a variety replication methods. In this session, we explore how to design an active-active multi-region architecture using AWS services, including Amazon Route 53, Amazon RDS multi-region replication, AWS DMS, and Amazon DynamoDB Streams. We discuss the challenges, trade-offs, and solutions.
In this session, we explore the new Network Load Balancer that was launched as part of the Elastic Load Balancing service, which can load balance any kind of TCP traffic. This offers customers a high-performance, scalable, low-cost load balancer that can handle millions of requests per second with very low latencies, while maintaining high levels of performance. Come and learn more about this new Network Load Balancer.
STG320 Storage Workshop Participants in this workshop work through real-world scenarios for migrating from traditional on-premises storage to cloud-based hybrid storage solutions. The session includes an overview of the common challenges and considerations for migrating large datasets into the cloud. We also provide an overview of the AWS Snowball and AWS Storage Gateway services. Participants get an opportunity to learn about AWS hybrid storage services and gain hands-on experience. AWS re:Invent 2017, Amazon, Storage, STG320, AI, AWS Snowball, AWS Snowball, AWS Storage Gateway, Hybrid, Storage,reinvent2017
Do you have on-premises tape backups or expensive VTL hardware? Worried about moving cases of tapes off site? Not sure about the integrity of your data on tape? Learn how to use AWS services, including AWS Storage Gateway, to replace existing traditional approaches. Using Storage Gateway and standard backup software, you can back up to Amazon S3 and Amazon Glacier or tier snapshots to AWS. This enables both long-term data retention for compliance, and also recovery into Amazon EC2, locally, or to another site in case of a disaster. Southern Oregon University shares how they replaced tape backups with AWS, and the lessons learned in the process.
The backend for the Snapchat Stories feature includes Snapchat's largest storage write workload. Learn how we rebuilt this workload for Amazon DynamoDB and executed the migration. Safely moving such a critical and high-scale piece of the Stories infrastructure to a new system, right before yearly peak usage, led to interesting challenges. In this session, we cover data model changes to leverage DynamoDB strengths and improve both performance and cost. We also cover challenges and risks in making remote calls across cloud providers, dealing with issues of scale, forecasting capacity requirements, and how to mitigate the risks of taking an unproven system through the dramatic traffic spikes that occur on New Year's Eve.
Optimizing EC2 for Fun and Profit #bigsavings #newfeatures - CMP202 - re:Inve...Amazon Web Services
What if I told you that you could improve your EC2 performance and availability and save money… Interested? Want to learn how to use all the latest functionality including [NEW] EC2 features launched at re:Invent to optimize your spend… How about now? In this session, you’ll learn how to seamlessly combine On-Demand, Spot and Reserved Instances, and how to use the best practices deployed by customers all over the world for the most common applications and workloads.
After just one hour you’ll leave armed with multiple ways to grow your compute capacity and to enable new types of cloud computing applications - without it costing you an arm and a leg.
ARC303_Running Lean Architectures How to Optimize for Cost EfficiencyAmazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot Instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; and choosing the optimal instance type through load testing. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by serverless. Even if you already enjoy the benefits of serverless architectures, we show you how to select the optimal AWS Lambda memory class and how to maximize networking throughput in order to minimize Lambda run-time and therefore execution cost. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the AWS Cloud.
CMP315_Optimizing Network Performance for Amazon EC2 InstancesAmazon Web Services
Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features—such as enhanced networking, ENA, and placement groups—and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-effective manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.
What's New for AWS Purpose Built, Non-relational Databases - DAT204 - re:Inve...Amazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, will cover what's new in AWS non-relational data services, such as Amazon DynamoDB, Amazon ElastiCache, and Amazon Elastisearch. We will discuss how developers might select different data services to solve different aspects of an application and demo scenarios on which application use cases lend themselves well to which data services. If you’re a developer building massively scaled applications, requiring flexibility, consistent millisecond performance, and trying to understand what non-relational data service you might use, this is a great introductory session.
STG307_Deep Dive on Amazon Elastic File System (Amazon EFS)Amazon Web Services
In this session, we explore the world’s first cloud-scale file system and its targeted use cases. Learn about Amazon EFS features and benefits, how to identify applications that are appropriate for use with Amazon EFS, and details about its performance and security models. The target audience is security administrators, application developers, and applications owners who operate or build file-based applications.
AWS Database and Analytics State of the Union - 2017 - DAT201 - re:Invent 2017Amazon Web Services
In this session, we discuss the evolution of database and analytics services in AWS, the new database and analytics services and features we launched this year, and our vision for continued innovation in this space. We are witnessing an unprecedented growth in the amount of data collected, in many different forms. Storage, management, and analysis of this data require database services that scale and perform in ways not possible before. AWS offers a collection of database and other data services—including Amazon Aurora, Amazon DynamoDB, Amazon RDS, Amazon Redshift, Amazon ElastiCache, Amazon Kinesis, and Amazon EMR—to process, store, manage, and analyze data. In this session, we provide an overview of AWS database and analytics services and discuss how customers are using these services today.
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, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront. Attendees will also hear from venture capital investor Third Rock Ventures (TRV) who has launched 40+ biotech startups over the last 10 years. TRV will outline how it launches cloud native startups that turn bleeding edge science into new treatments across the spectrum of disease, with highlights drawn Relay Therapeutics and Tango Therapeutics.
Amazon EC2 provides resizable compute capacity in the cloud, and is designed to make web-scale computing easier. This web service offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high performance computing (HPC)—all with flexible pricing options. In this session, we learn about the latest Amazon EC2 features and capabilities, including new instance families, differences among hardware types and capabilities, and optimal use cases.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, understand the differences among their hardware types and capabilities, and explore their optimal use cases.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, understand the differences among their hardware types and capabilities, and explore their optimal use cases.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing--all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including Approved instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
Amazon EC2 provides resizable compute capacity in the cloud, making web scale computing easier. It offers a wide variety of compute instances and is well suited to every imaginable use case, from static websites to on-demand, high-performance supercomputing, all with flexible pricing options. In this session, learn about the latest Amazon EC2 features and capabilities, including new instance families, the differences among their hardware types and capabilities, and their optimal use cases. Also discover best practices for optimizing your expenditure and getting the most benefit from your EC2 instances while saving time and money.
by Jeanine Banks, Director of Product Management, EC2 Windows & Enterprise Workloads, AWS
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Amazon EC2 provides resizable compute capacity in the cloud and makes web scale computing easier for customers. It offers a wide variety of compute instances is well suited to every imaginable use case, from static websites to high performance supercomputing on-demand, all available via highly flexible pricing options. This session covers the latest EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also will cover some best practices on how you can optimize your spend on EC2 to make the most of your EC2 instances, saving time and money.
Amazon EC2 provides resizable compute capacity in the cloud and makes web-scale computing easier for customers. It offers a wide variety of compute instances well suited to every imaginable use case, from static websites to high-performance supercomputing on-demand, all available through highly flexible pricing options. This session covers the latest Amazon EC2 features and capabilities, including new instance families available in Amazon EC2, the differences among their hardware types and capabilities, and their optimal use cases. We also cover some best practices on how you can optimize your expenditure on Amazon EC2 to make the most of your EC2 instances, saving time and money.
Deep Dive on Amazon EC2 Accelerated Computing - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Technical understanding of AWS' offerings for GPU-based and FPGA-based accelerated computing
- Technical understanding of which Amazon EC2 Accelerated Computing services are ideal for running deep learning training and inference, advanced graphics applications, high performance computing, and reconfigurable computing
- What are the technical advantages of using Amazon EC2 Accelerated Computing services to run ML/DL and HPC workloads in the cloud
AWS Compute Evolved Week: Deep Dive on Amazon EC2 Accelerated ComputingAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Deep Dive on Amazon EC2 Accelerated Computing
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
Speaker: Clinton Ford - Sr. Product Manager, EC2, AWS
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
by Jeanine Banks, Director of Product Management, EC2 Windows & Enterprise Workloads, AWS
Researchers, scientists and IT organizations are looking to develop, deploy and deliver machine learning and HPC workloads by leveraging the agility, scalability and availability of the public cloud. Amazon EC2 Accelerated Computing platform products include Amazon EC2 P3 instances, Amazon EC2 G3 instances and Amazon EC2 F1 instances. This session will provide a detailed technical deep dive of the Amazon EC2 Accelerated Computing platforms, which are Amazon EC2 P3, Amazon EC2 G3 and Amazon EC2 F1 instances, their key market use cases which include machine learning, high performance computing, scientific research and reconfigurable computing.
Introducing Amazon EC2 P3 Instance - Featuring the Most Powerful GPU for Mach...Amazon Web Services
Amazon EC2 P3 instances offer up to eight of the latest NVIDIA Tesla V100 GPUs, with up to 13X the speed of previous generation GPU instances. In this session, learn from Airbnb how they use machine learning to make their services smarter and more engaging for their customers and how they are using P3 instances to dramatically lower training time of their machine learning models while optimize costs.
AWS Compute Evolved Week: High Performance Computing on AWSAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: High Performance Computing on AWS
High Performance Computing (HPC) has been driving technology advancements for many decades. HPC enables performance-demanding applications and workloads to solve complex problems while dramatically reducing time to solution. With a history of requiring very large data centers, HPC is now on the edge of a paradigm shift. The AWS Cloud will allow customers to have access to near infinite compute and storage resources, without the overhead of running their own data centers. There are a vast number of HPC segments and verticals that are already seeing great success running their workloads on AWS. Life Sciences, Financial Services, Energy & Geo Sciences, as well as Manufacturing are successfully deploying their applications on AWS. In these two sessions we will discuss how AWS can help you run HPC workloads in the cloud.
Speakers: Pierre-Yves Aquilanti - Sr. HPC Specialized Solutions Architect, AWS & Anh Tran - Sr. HPC Specialized Solutions Architect, AWS
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.