Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications, without it costing a lot of money.
This document provides an overview of using Amazon EC2 Spot Instances for compute workloads. It discusses EC2 Spot pricing and purchase options, features like interruptions and orchestration with Auto Scaling Groups and Spot Fleet. Use cases where Spot is well-suited include stateless, fault-tolerant workloads. Integrations with container and big data services like ECS, EKS and EMR are also covered. The presentation emphasizes flexibility, automation and diversification to maximize cost savings from Spot while minimizing risks of interruptions.
Optimize EC2 for Fun and Profit - SRV203 - Anaheim AWS SummitAmazon Web Services
In this session, learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Hear about the best practices used by customers all over the world for the most commonly used applications and workloads. Finally, discover multiple ways to grow your compute capacity and enable new types of cloud computing applications without spending much money.
How Jupiter Intel Uses AWS to Forecast Weather Impact & Climate Risk (CMP340)...Amazon Web Services
Jupiter is a cloud-native company that delivers hyperlocal environmental information in a changing climate, primarily using AWS Batch. Through AWS Batch’s capability to execute thousands of scientific modeling jobs while managing scale and cost, Jupiter scientists can focus on data analysis and developing sophisticated machine learning (ML)-based applications to support private sector and local municipality customers; AWS Batch takes care of the rest. In this chalk talk, we demonstrate how AWS Batch, through managing resource provisioning and scheduling, enables flexibility across changing requirements to allow various modeling applications to run quickly and at scale.
Most likely, your organization is not in the business of running data centers, yet a significant amount of time and money is spent doing just that. Amazon Web Services provides a way to acquire and use infrastructure on-demand, so that you pay only for what you consume. This puts more money back into the business, so that you can innovate more, expand faster, and be better positioned to take advantage of new opportunities.
End Extra Spending Hunting for Increased Value through Cost Optimization (ENT...Amazon Web Services
This is a workshop that could pay for itself. Aimed at IT, development, and finance teams, this workshop utilizes AWS services and best practices to implement a cost-management strategy, including governance, monitoring, controls, and optimizations. Attendees will leave this workshop with actionable tasks they can implement as part of their cost-management journey.
AWS Compute Evolved Week: Cost Optimize EC2 with Amazon EC2 Spot InstancesAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Cost Optimize EC2 with Amazon EC2 Spot Instances
Join this workshop to get hands-on experience deploying a web app on Amazon EC2 Spot Instances. Amazon EC2 Spot instances offer spare compute capacity in the AWS cloud available at steep discounts compared to On-Demand prices. Learn how to deploy an EC2 Spot Fleet behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Speaker: Shawn OConnor - Enterprise Solutions Architect, AWS
Predictive Scaling for More Responsive Applications (API330) - AWS re:Invent ...Amazon Web Services
Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
This document provides an overview of using Amazon EC2 Spot Instances for compute workloads. It discusses EC2 Spot pricing and purchase options, features like interruptions and orchestration with Auto Scaling Groups and Spot Fleet. Use cases where Spot is well-suited include stateless, fault-tolerant workloads. Integrations with container and big data services like ECS, EKS and EMR are also covered. The presentation emphasizes flexibility, automation and diversification to maximize cost savings from Spot while minimizing risks of interruptions.
Optimize EC2 for Fun and Profit - SRV203 - Anaheim AWS SummitAmazon Web Services
In this session, learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Hear about the best practices used by customers all over the world for the most commonly used applications and workloads. Finally, discover multiple ways to grow your compute capacity and enable new types of cloud computing applications without spending much money.
How Jupiter Intel Uses AWS to Forecast Weather Impact & Climate Risk (CMP340)...Amazon Web Services
Jupiter is a cloud-native company that delivers hyperlocal environmental information in a changing climate, primarily using AWS Batch. Through AWS Batch’s capability to execute thousands of scientific modeling jobs while managing scale and cost, Jupiter scientists can focus on data analysis and developing sophisticated machine learning (ML)-based applications to support private sector and local municipality customers; AWS Batch takes care of the rest. In this chalk talk, we demonstrate how AWS Batch, through managing resource provisioning and scheduling, enables flexibility across changing requirements to allow various modeling applications to run quickly and at scale.
Most likely, your organization is not in the business of running data centers, yet a significant amount of time and money is spent doing just that. Amazon Web Services provides a way to acquire and use infrastructure on-demand, so that you pay only for what you consume. This puts more money back into the business, so that you can innovate more, expand faster, and be better positioned to take advantage of new opportunities.
End Extra Spending Hunting for Increased Value through Cost Optimization (ENT...Amazon Web Services
This is a workshop that could pay for itself. Aimed at IT, development, and finance teams, this workshop utilizes AWS services and best practices to implement a cost-management strategy, including governance, monitoring, controls, and optimizations. Attendees will leave this workshop with actionable tasks they can implement as part of their cost-management journey.
AWS Compute Evolved Week: Cost Optimize EC2 with Amazon EC2 Spot InstancesAmazon Web Services
AWS Compute Evolved Week at the San Francisco Loft: Cost Optimize EC2 with Amazon EC2 Spot Instances
Join this workshop to get hands-on experience deploying a web app on Amazon EC2 Spot Instances. Amazon EC2 Spot instances offer spare compute capacity in the AWS cloud available at steep discounts compared to On-Demand prices. Learn how to deploy an EC2 Spot Fleet behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Speaker: Shawn OConnor - Enterprise Solutions Architect, AWS
Predictive Scaling for More Responsive Applications (API330) - AWS re:Invent ...Amazon Web Services
Get a jump on traffic surges with Predictive Auto Scaling. AWS Auto Scaling now responds more quickly by analyzing past traffic trends. The new predictive capability looks at your incoming load and forecasts it into the future. Not only can you see ahead of time when and how your resources will scale, your resources are made available ahead of when they are needed to enable faster, more responsive applications. Come learn how Genesys uses Predictive Scaling to scale the infrastructure used to run their popular contact center solution, PureCloud, worldwide.
With cloud, you have the flexibility to acquire and use IT resources and services on-demand, which represents a major shift from traditional approaches managing cost. A key first step on your organization’s cloud journey is to establish best practices for cost management in the cloud. AWS' cost optimization techniques help our customers understand cost drivers and effectively manage the cost of running existing application workloads or new ones in the cloud.
The document discusses building a global multi-region serverless architecture on AWS. It covers topics like system reliability and availability, why a multi-region multi-master architecture is needed, how to deploy one on AWS using services like DynamoDB Global Tables, Lambda, API Gateway and Route 53. It then provides an example of a serverless architecture with DynamoDB global tables replicated across regions and Lambda functions triggered from API endpoints in different regions for high availability.
Running Amazon EKS Workloads on Amazon EC2 Spot Instances (CMP403-R1) - AWS r...Amazon Web Services
Containers are usually stateless and fault tolerant, and Amazon EC2 Spot Instances are a great match for powering your Amazon EC2 compute for these workloads. In this workshop, you learn how to provision, manage, and maintain your Amazon Kubernetes clusters with Amazon EKS at any scale on Spot Instances to architect for optimizations on cost and scale. We dive deep using hands-on material to provision and scale worker nodes, handle interruptions, and design for fault tolerance. We also demonstrate successfully managing a suddenly spiky workload. This workshop helps architects, engineers, and developers understand how to run a containerized environment on Spot Instances. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
Advancing Autonomous Vehicle Development Using Distributed Deep Learning (CMP...Amazon Web Services
Toyota Research Institute (TRI) is an industry pioneer focused on using machine learning to help Toyota produce cars that are safer, more accessible, and more environmentally friendly. A fundamental component of their solution is a computer vision/perception stack that identifies the road and objects such as vehicles, lane markings, and road signs. Come and learn how TRI is increasing their development agility to try new algorithms and optimization techniques by using distributed deep learning training on AWS.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Running Amazon Elastic Compute Cloud (Amazon EC2) workloads at scale - CMP202...Amazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending Amazon EC2 Spot, On-Demand, and Reserved Instances purchasing models. In this session, we learn how to use the power of Amazon EC2 Fleet with AWS services such as AWS Auto Scaling, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks to programmatically optimize costs while maintaining high performance and availability. We also discuss cost-optimization patterns for workloads such as containers, web services, CI/CD, and big data.
Solve Common Voice UI Challenges with Advanced Dialog Management Techniques (...Amazon Web Services
This talk covers how skill developers can leverage ASK dialog management features to create fluid, natural conversations. We review common challenges with complex multi-turn dialogs, and we discuss how to leverage dialog management features to delight your customers. Learn how dialog features can be applied to contextually tune interpretation of a conversation and simplify backend code.
The AWS Cloud Value Framework - ENT204 - Atlanta AWS SummitAmazon Web Services
The business case for cloud computing goes beyond total cost of ownership (TCO). AWS helps organizations reduce time to market and time spent on undifferentiated work and improve application availability. In this session, you learn about the AWS Cloud Value Framework. This framework quantifies not only TCO savings, but also the business value of agility, risk reduction, and efficiency, which you can use in building a case for change. After this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive business case.
Moving from an on-premises environment into AWS is just the start of the journey towards cost optimization. In this session we’ll look at a range of ways in which our customers can understand their costs and increase their return-on-investment: building the business case; selecting the right models for the right workloads; benefiting from tiered pricing aggregation; using data to drive the choice of AWS services; implementation of intelligent auto-scaling; and, where appropriate, re-platforming to make use of new architectural patterns such as Serverless.
Life of a Code Change to a Tier 1 Service - AWS Online Tech TalksAmazon Web Services
The document discusses the process for deploying code changes to tier 1 services at Amazon. It involves code review, automated builds and testing, deployment through multiple environments including production regions, automated rollback capabilities, and auditing of changes. Amazon is able to deploy changes rapidly due to standardized tooling and processes, an internal culture of ownership, and a focus on continuously deploying changes and monitoring their impact.
Scale Your Studio: Rendering with Spot and Deadline on AWS (CMP202) - AWS re:...Amazon Web Services
What if you could scale your rendering pipeline to near-limitless capacity- what would that mean for your studio? Learn how Amazon EC2 Spot and AWS Thinkbox Deadline can help scale your VFX and CG rendering pipeline, creating faster feedback cycles and most artist time focused on creating content, and how you can optimize your compute costs along the way. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management tool) and Spot for scalable cost-effective computing. Find out how real customers working on Hollywood productions are integrating their pipelines with AWS to realize the elasticity and scale provided by Amazon EC2, as well as how they intend to leverage AWS in the future to scale their superpowers.
by Francesco Ruffino, SR. HPC Specialized Solutions
Architect, 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. The first session will be a general introduction to HPC on AWS.
Moving from an on-premises environment to AWS is just the start of the journey toward cost optimization. In this session, we explore how customers can understand their costs and increase their return-on-investment. This includes building a business case; demonstrating how to select the right models for the right workloads; discussing how to take advantage of tiered pricing aggregation; and highlighting how to implement intelligent auto-scaling. It’s all about using data to drive a cost-conscious design approach in architecting for the cloud.
David Lurie, Business Development, Amazon Web Services
Automatic Model Tuning Using Amazon SageMaker (AIM412) - AWS re:Invent 2018Amazon Web Services
In many cases, what separates good models from great ones is the choice of hyperparameters. For example, what is the number of layers you should use; what should be the learning rate; what should be regularization parameters, and so on. In this session, learn how Amazon SageMaker makes discovering the best set of hyperparameters an informed process during training.
This document discusses high performance computing (HPC) on Amazon Web Services (AWS). It provides an overview of AWS global infrastructure and regions, reasons for using AWS for HPC workloads, common HPC solution components on AWS like compute, storage, networking and automation options, and considerations for optimizing cost and performance of HPC workloads on AWS.
AWS offers a wide selection of compute platforms. In this session, we highlight key platform features of different Amazon EC2 instance families, and we provide a framework in which to choose the best compute resource (including Amazon EC2 instances, AWS Fargate containers, and AWS Lambda functions) for your workloads based on metrics and workload profiles. We also share best practices and performance tips for getting the most out of your Amazon EC2 instances to help you reduce unnecessary spending and improve application performance.
Build, Train, and Deploy ML Models Quickly and Easily with Amazon SageMaker, ...Amazon Web Services
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
This document discusses building a business case for migrating to the cloud. It outlines challenges with on-premises infrastructure like inflexibility and high costs. A cloud value framework is presented that considers cost savings, staff productivity, business agility, and operational resilience. Different types of business cases are described from directional to refined to detailed. Key aspects of a migration-focused business case are identified like quantifying total cost of ownership savings and benefits related to technology optimization, organizational transformation, and other outputs. Examples are provided of realized value from cloud migrations in areas like staff productivity, cost savings, operational resilience, and business agility.
by Chad Schmutzer, Sr. EC2 Specialist Solutions Architect, AWS
Join this workshop to get hands-on experience deploying a web app on Amazon EC2 Spot Instances. Amazon EC2 Spot instances offer spare compute capacity in the AWS cloud available at steep discounts compared to On-Demand prices. Learn how to deploy an EC2 Spot Fleet behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs. *AWS credits are provided.* Please bring a laptop and have an active AWS account before the workshop.
Any Given Thursday, Friday, Saturday: How Pac-12 Streams Hundreds of Live Eve...Amazon Web Services
The way viewers expect to consume sports is completely changing, so Pac-12 Networks is completely changing the core of its video delivery infrastructure by shifting from on-premises to AWS. This move enables Pac-12 Networks to get more content than ever to more fans in more locations and on more devices. AWS is helping the network quickly set up new workflows at scale, such as live-to-VOD and OTT monetization, with thousands of hours of live content added annually. Learn how Pac-12 Networks is using AWS media and machine learning services to delight fans and accelerate innovation.
In this session, learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances. Also learn how to use the best practices deployed by customers all over the world for the most common applications and workloads. Discover multiple ways to grow your compute capacity and enable new types of cloud computing applications—without it costing you a lot of money.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
The document discusses building a global multi-region serverless architecture on AWS. It covers topics like system reliability and availability, why a multi-region multi-master architecture is needed, how to deploy one on AWS using services like DynamoDB Global Tables, Lambda, API Gateway and Route 53. It then provides an example of a serverless architecture with DynamoDB global tables replicated across regions and Lambda functions triggered from API endpoints in different regions for high availability.
Running Amazon EKS Workloads on Amazon EC2 Spot Instances (CMP403-R1) - AWS r...Amazon Web Services
Containers are usually stateless and fault tolerant, and Amazon EC2 Spot Instances are a great match for powering your Amazon EC2 compute for these workloads. In this workshop, you learn how to provision, manage, and maintain your Amazon Kubernetes clusters with Amazon EKS at any scale on Spot Instances to architect for optimizations on cost and scale. We dive deep using hands-on material to provision and scale worker nodes, handle interruptions, and design for fault tolerance. We also demonstrate successfully managing a suddenly spiky workload. This workshop helps architects, engineers, and developers understand how to run a containerized environment on Spot Instances. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
Advancing Autonomous Vehicle Development Using Distributed Deep Learning (CMP...Amazon Web Services
Toyota Research Institute (TRI) is an industry pioneer focused on using machine learning to help Toyota produce cars that are safer, more accessible, and more environmentally friendly. A fundamental component of their solution is a computer vision/perception stack that identifies the road and objects such as vehicles, lane markings, and road signs. Come and learn how TRI is increasing their development agility to try new algorithms and optimization techniques by using distributed deep learning training on AWS.
Introduction to AI services for Developers - Builders Day IsraelAmazon Web Services
Artificial Intelligence (AI) services on the AWS cloud bring the power of deep learning within reach of every developer, allowing us to develop new tools and enrich our systems with new capabilities. In this session, we will look into the opportunities to apply one or more of these services provide a number of examples and use cases to help you get started.
Running Amazon Elastic Compute Cloud (Amazon EC2) workloads at scale - CMP202...Amazon Web Services
Amazon EC2 Fleet makes it easy to optimize compute performance and cost by blending Amazon EC2 Spot, On-Demand, and Reserved Instances purchasing models. In this session, we learn how to use the power of Amazon EC2 Fleet with AWS services such as AWS Auto Scaling, Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), Amazon EMR, AWS Batch, AWS Thinkbox Deadline, and AWS OpsWorks to programmatically optimize costs while maintaining high performance and availability. We also discuss cost-optimization patterns for workloads such as containers, web services, CI/CD, and big data.
Solve Common Voice UI Challenges with Advanced Dialog Management Techniques (...Amazon Web Services
This talk covers how skill developers can leverage ASK dialog management features to create fluid, natural conversations. We review common challenges with complex multi-turn dialogs, and we discuss how to leverage dialog management features to delight your customers. Learn how dialog features can be applied to contextually tune interpretation of a conversation and simplify backend code.
The AWS Cloud Value Framework - ENT204 - Atlanta AWS SummitAmazon Web Services
The business case for cloud computing goes beyond total cost of ownership (TCO). AWS helps organizations reduce time to market and time spent on undifferentiated work and improve application availability. In this session, you learn about the AWS Cloud Value Framework. This framework quantifies not only TCO savings, but also the business value of agility, risk reduction, and efficiency, which you can use in building a case for change. After this session, you should be able to describe the benefits of the cloud to different stakeholders across your organization and present a comprehensive business case.
Moving from an on-premises environment into AWS is just the start of the journey towards cost optimization. In this session we’ll look at a range of ways in which our customers can understand their costs and increase their return-on-investment: building the business case; selecting the right models for the right workloads; benefiting from tiered pricing aggregation; using data to drive the choice of AWS services; implementation of intelligent auto-scaling; and, where appropriate, re-platforming to make use of new architectural patterns such as Serverless.
Life of a Code Change to a Tier 1 Service - AWS Online Tech TalksAmazon Web Services
The document discusses the process for deploying code changes to tier 1 services at Amazon. It involves code review, automated builds and testing, deployment through multiple environments including production regions, automated rollback capabilities, and auditing of changes. Amazon is able to deploy changes rapidly due to standardized tooling and processes, an internal culture of ownership, and a focus on continuously deploying changes and monitoring their impact.
Scale Your Studio: Rendering with Spot and Deadline on AWS (CMP202) - AWS re:...Amazon Web Services
What if you could scale your rendering pipeline to near-limitless capacity- what would that mean for your studio? Learn how Amazon EC2 Spot and AWS Thinkbox Deadline can help scale your VFX and CG rendering pipeline, creating faster feedback cycles and most artist time focused on creating content, and how you can optimize your compute costs along the way. This session focuses on rendering workloads combining Deadline (an AWS rendering pipeline management tool) and Spot for scalable cost-effective computing. Find out how real customers working on Hollywood productions are integrating their pipelines with AWS to realize the elasticity and scale provided by Amazon EC2, as well as how they intend to leverage AWS in the future to scale their superpowers.
by Francesco Ruffino, SR. HPC Specialized Solutions
Architect, 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. The first session will be a general introduction to HPC on AWS.
Moving from an on-premises environment to AWS is just the start of the journey toward cost optimization. In this session, we explore how customers can understand their costs and increase their return-on-investment. This includes building a business case; demonstrating how to select the right models for the right workloads; discussing how to take advantage of tiered pricing aggregation; and highlighting how to implement intelligent auto-scaling. It’s all about using data to drive a cost-conscious design approach in architecting for the cloud.
David Lurie, Business Development, Amazon Web Services
Automatic Model Tuning Using Amazon SageMaker (AIM412) - AWS re:Invent 2018Amazon Web Services
In many cases, what separates good models from great ones is the choice of hyperparameters. For example, what is the number of layers you should use; what should be the learning rate; what should be regularization parameters, and so on. In this session, learn how Amazon SageMaker makes discovering the best set of hyperparameters an informed process during training.
This document discusses high performance computing (HPC) on Amazon Web Services (AWS). It provides an overview of AWS global infrastructure and regions, reasons for using AWS for HPC workloads, common HPC solution components on AWS like compute, storage, networking and automation options, and considerations for optimizing cost and performance of HPC workloads on AWS.
AWS offers a wide selection of compute platforms. In this session, we highlight key platform features of different Amazon EC2 instance families, and we provide a framework in which to choose the best compute resource (including Amazon EC2 instances, AWS Fargate containers, and AWS Lambda functions) for your workloads based on metrics and workload profiles. We also share best practices and performance tips for getting the most out of your Amazon EC2 instances to help you reduce unnecessary spending and improve application performance.
Build, Train, and Deploy ML Models Quickly and Easily with Amazon SageMaker, ...Amazon Web Services
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker takes away the heavy lifting of machine learning, thus removing the typical barriers associated with machine learning. In this session, we'll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
This document discusses building a business case for migrating to the cloud. It outlines challenges with on-premises infrastructure like inflexibility and high costs. A cloud value framework is presented that considers cost savings, staff productivity, business agility, and operational resilience. Different types of business cases are described from directional to refined to detailed. Key aspects of a migration-focused business case are identified like quantifying total cost of ownership savings and benefits related to technology optimization, organizational transformation, and other outputs. Examples are provided of realized value from cloud migrations in areas like staff productivity, cost savings, operational resilience, and business agility.
by Chad Schmutzer, Sr. EC2 Specialist Solutions Architect, AWS
Join this workshop to get hands-on experience deploying a web app on Amazon EC2 Spot Instances. Amazon EC2 Spot instances offer spare compute capacity in the AWS cloud available at steep discounts compared to On-Demand prices. Learn how to deploy an EC2 Spot Fleet behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs. *AWS credits are provided.* Please bring a laptop and have an active AWS account before the workshop.
Any Given Thursday, Friday, Saturday: How Pac-12 Streams Hundreds of Live Eve...Amazon Web Services
The way viewers expect to consume sports is completely changing, so Pac-12 Networks is completely changing the core of its video delivery infrastructure by shifting from on-premises to AWS. This move enables Pac-12 Networks to get more content than ever to more fans in more locations and on more devices. AWS is helping the network quickly set up new workflows at scale, such as live-to-VOD and OTT monetization, with thousands of hours of live content added annually. Learn how Pac-12 Networks is using AWS media and machine learning services to delight fans and accelerate innovation.
In this session, learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances. Also learn how to use the best practices deployed by customers all over the world for the most common applications and workloads. Discover multiple ways to grow your compute capacity and enable new types of cloud computing applications—without it costing you a lot of money.
Learn how to seamlessly combine Amazon EC2 On-Demand, Spot, and Reserved Instances to optimize cost, scale, and performance. Understand best practices used by customers all over the world for the most commonly used applications and workloads. Discover multiple ways to grow your compute capacity, and enable new types of cloud computing applications—without it costing a lot of money.
Cost optimisation as a by-product of awesome practice and agility at TrainlineAmazon Web Services
The document discusses cost optimization strategies on AWS. It outlines five pillars of cost optimization: right sizing instances, increasing elasticity, using the right pricing models like reserved instances, optimizing storage classes, and measuring/monitoring usage. It provides examples and tools for each strategy, such as using Cost Explorer to analyze reserved instance utilization and recommendations. The overall message is that customers can optimize costs by matching computing resources to actual usage rather than peak needs through AWS services designed for elasticity.
Best practices for optimizing your EC2 costs with Spot Instances | AWS Floor28Amazon Web Services
Join this session to learn how AWS customers are using Spot Instances to save up to 90% off On-Demand price when running frontend and web applications, big-data and analytics, Batch and HPC, dev/test, and containerized workloads
Better, Faster, Cheaper – Cost Optimizing Compute with Amazon EC2 Fleet #savi...Amazon Web Services
Amazon EC2 Fleet makes it easier than ever to grow your compute capacity and enable new types of cloud computing applications while maintaining the lowest TCO by blending EC2 Spot, On-Demand and RI purchase models. In this session, learn how to use the power of EC2 Fleet with AWS services such as Auto Scaling, ECS, EKS, EMR, Batch, Thinkbox Deadline and Opsworks to programmatically optimize costs while maintaining high performance and availability – all without breaking a sweat. We will dive deep into cost optimization patterns for workloads like containers, web services, CI/CD, batch, big data, rendering and more.
Running Amazon EC2 Workloads at Scale (CMP402-R1) - AWS re:Invent 2018Amazon Web Services
Join this workshop to get hands-on with the latest Amazon EC2 features, including EC2 Fleet, EC2 Fleet integration with EC2 Auto Scaling, and EC2 Launch Templates. Learn how to utilize EC2 Launch Templates to power and deploy an EC2 Auto Scaling group using a combination of EC2 On-Demand and EC2 Spot Instances behind a load balancer. You also get the opportunity to configure the workload to handle peak demand, all while optimizing cost and performance. All attendees must bring their own laptop (Windows, macOS, and Linux all supported). Tablets are not appropriate. We also recommend having the current version of Chrome or Firefox installed.
Optimizar los costos a medida que mejora en AWS - MXO207 - Mexico City SummitAmazon Web Services
El modelo de negocios praticado por AWS ofrece una alternativa al método tradicional ya que el cliente solo paga por lo que utiliza, sin la necesidad de contractos de largo plazo o el manejo de licenciamientos complejos. La visión de AWS es ayudar los clientes a pagar solamente lo que necesitan. En esta sesión presentaremos cómo obtener el mejor retorno de su inversión eliminando desperdicios y compartiremos las mejores practicas de cómo desarrollar una cultura con foco en costos sin impactar el ritmo de la innovación. Revisaremos una amplia gama de estrategias de planificación, supervisión y optimización de costos a través de la experiencia real de los clientes de AWS.
AWS Webinar Series - Cost Optimisation Levers, Tools, and StrategiesAmazon Web Services
The document discusses strategies for optimizing costs when using AWS. It covers establishing cost visibility using tools like AWS Cost Explorer. It also discusses technical optimization levers like right-sizing resources, using reserved instances, increasing infrastructure elasticity, matching storage classes to needs, and designing architectures for lower costs. The presentation provides examples and recommendations for how to apply these optimization strategies on AWS.
The document discusses Amazon EC2 Spot Instances, providing an overview of Spot pricing models and best practices. It outlines that Spot Instances provide spare AWS computing capacity at significantly lower prices than On-Demand instances, with the trade-off being potential interruptions with two minutes notice. The document provides guidance on using Spot for fault-tolerant workloads and monitoring Spot prices and usage to optimize costs.
Running Lean Architectures: How to Optimize for Cost Efficiency (ARC202-R2) -...Amazon Web Services
Aimed at solutions architects and technical managers, this session focuses on the practical ways our customers achieve cost-efficient architectures through service selection and configuration. We start by discussing the building block services. We cover the main trends, such as containers and serverless, and we explore some of the specific services and configurations customers have used. We also take you through real-life examples that can be implemented to minimize costs while driving innovation and business output. After you attend this session, you will understand what is possible on AWS, and you will know ways in which you can deploy new workloads or modify existing workloads for optimization.
This document provides an overview of Amazon EC2 Spot instances and new features. It begins with an introduction to different AWS compute offerings and EC2 pricing models including On-Demand, Reserved, and Spot instances. It then covers new Spot instance features like Spot Fleet tag propagation and encryption of EBS volumes at launch. The document discusses the new Spot pricing model with predictable pricing and no bidding requirement. It also outlines how Spot is integrated with services like ECS, EMR, and Kubernetes. Finally, it covers the ability to pause and resume Spot instances using Stop/Start and Hibernate features.
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.
Capacity Management Made Easy with Amazon EC2 Auto Scaling (CMP377) - AWS re:...Amazon Web Services
This document discusses Amazon EC2 Auto Scaling and how it can be used to automatically scale Amazon EC2 capacity up or down based on user-defined policies. Auto Scaling helps maintain application availability and allows scaling capacity out across availability zones. It allows grouping instances by criteria like instance type and launch template and supports automatic provisioning of instances using templates that specify configuration details. Auto Scaling also supports replacing unhealthy instances, lifecycle hooks to perform actions during instance launch/termination, and dynamic scaling based on metrics, schedules or predictive scaling.
Moving from an on-premises environment into AWS is just the start of the journey towards cost optimisation. In this session we’ll look at a range of ways in which our customers can understand their costs and increase their return-on-investment: building the business case; selecting the right models for the right workloads; benefiting from tiered pricing aggregation; using data to drive the choice of AWS services; implementation of intelligent auto-scaling; and, where appropriate, re-platforming to make use of new architectural patterns such as Serverless.
Best practices for Running Spark jobs on Amazon EMR with Spot Instances | AWS...Amazon Web Services
In this session we are going to focus on cost-optimizing and efficiently running Spark applications on EMR by using Spot Instances. There are several best practices you should follow, in order to increase the fault-tolerance of your Spark applications and make use of Spot Instances, without compromising availability or impacting performance/duration of your jobs.
AWS Enterprise Summit Netherlands - Cost Optimisation at ScaleAmazon Web Services
The document discusses cost optimization strategies for using AWS at scale. It begins with an overview of total cost of ownership (TCO) analysis and how "at scale" applies. Key principles for architecting cloud infrastructure for cost like right sizing instances and using reserved instances are covered. The document then analyzes how measuring and monitoring cloud resources can help improve costs over time. Specific AWS services and features that can reduce storage, compute, and other infrastructure costs are also outlined.
Cost Optimisation Using Modern Cloud Architectures - AWS Summit Sydney 2018Amazon Web Services
Cost Optimisation Using Modern Cloud Architectures.
Did you know that AWS enables builders to architect solutions for price? This session uses practical examples aimed at architects and developers to demonstrate the financial advantages of different architectural decisions. Attendees will walk away with concrete examples, as well as a new perspective on how they can build systems economically and effectively.
Dan Hobson, Solutions Architect, Amazon Web Services
Building High-Scale Web Apps on Amazon EC2 Fleet (CMP409-R1) - AWS re:Invent ...Amazon Web Services
In this builders session, get hands-on experience deploying a web app via Amazon EC2 Fleet on Spot Instances and On-Demand. Amazon EC2 Spot Instances offer spare compute capacity in the AWS Cloud available at steep discounts compared to On-Demand prices. Learn how to deploy a fleet of instances behind a load balancer and scale it to handle peak demand with Spot Instances, all while saving up to 90% on your compute costs.
Running Enterprise Test/Dev on Amazon EC2 Spot Instances (CMP407-R1) - AWS re...Amazon Web Services
This document discusses using Amazon EC2 Spot Instances for test and development workloads. It begins with an introduction to EC2 Spot Instances and their cost benefits. It then explores using Spot Instances for various test and development use cases like builds, testing, and load testing. It provides tips for handling interruptions and using EC2 Fleet to launch a diversified set of Spot Instances. The presentation was scheduled for November 29th at 1:00 PM.
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.