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.
Tips and Tricks for Building and Deploying Serverless Apps In Minutes - AWS O...Amazon Web Services
"Learning Objectives:
- Teach best practices for building and deploying serverless apps and introduce the AWS Serverless Application Repository
- Show step-by-step examples for building and deploying serverless apps
- Demonstrate how to build more complex apps by linking services together using existing apps as examples"
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. Learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
This document provides an overview of an AWS training course that teaches students how to use AWS foundational services like EC2, VPC, S3, EBS, IAM, DynamoDB, RDS, Auto Scaling, CloudWatch, and ELB. It also covers AWS regions and availability zones, networking concepts, security measures, and serverless technologies like Lambda and API Gateway. The course aims to help students understand AWS terminology, navigate the management console, and use various compute, database, storage, and management services on the AWS platform.
The document discusses Amazon WorkSpaces, a managed, secure desktop computing service. It describes how WorkSpaces allows connecting an on-premise Microsoft Active Directory to the cloud to provide remote access to desktops and applications from any device. It also summarizes how the Amazon Active Directory Connector can integrate the on-premise AD with WorkSpaces and other AWS services while applying existing security policies. Finally, it provides an overview of the WorkSpaces pricing models and global availability.
Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
BDA308 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations.
Tips and Tricks for Building and Deploying Serverless Apps In Minutes - AWS O...Amazon Web Services
"Learning Objectives:
- Teach best practices for building and deploying serverless apps and introduce the AWS Serverless Application Repository
- Show step-by-step examples for building and deploying serverless apps
- Demonstrate how to build more complex apps by linking services together using existing apps as examples"
Anyone can create and publish augmented reality (AR), virtual reality (VR), and 3D applications quickly and easily with Amazon Sumerian. Learn how to use Sumerian to build a scene that can be published and viewed on laptops, mobile phones, VR headsets, and digital signage. Take a tour of the Sumerian interface, and learn how to build a scene, add assets and hosts, and add behaviors to create dynamically animated objects and characters in an AR/VR experience. Also see how Sumerian integrates into AWS services such as Amazon Polly, Amazon Lex, AWS Lambda, Amazon S3, and Amazon DynamoDB.
This document provides an overview of an AWS training course that teaches students how to use AWS foundational services like EC2, VPC, S3, EBS, IAM, DynamoDB, RDS, Auto Scaling, CloudWatch, and ELB. It also covers AWS regions and availability zones, networking concepts, security measures, and serverless technologies like Lambda and API Gateway. The course aims to help students understand AWS terminology, navigate the management console, and use various compute, database, storage, and management services on the AWS platform.
The document discusses Amazon WorkSpaces, a managed, secure desktop computing service. It describes how WorkSpaces allows connecting an on-premise Microsoft Active Directory to the cloud to provide remote access to desktops and applications from any device. It also summarizes how the Amazon Active Directory Connector can integrate the on-premise AD with WorkSpaces and other AWS services while applying existing security policies. Finally, it provides an overview of the WorkSpaces pricing models and global availability.
Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations.
Increase the Value of Video with ML & Media Services - SRV322 - New York AWS ...Amazon Web Services
Learn how to generate metadata from your media and make videos searchable by objects, people, activities, dialog, and more by using Amazon Machine Learning tools. Learn how to make videos more valuable and enable a wide range of use cases, including searching and indexing your video library. Learn how to use AWS Elemental MediaConvert to create video highlight clips from keywords, automatically or on demand, for content like sports videos and from sources like nature cameras or security feeds. Finally, learn how to use Amazon Transcribe and Amazon Translate with AWS Media Services to produce captions and translations to expand audience reach for corporate videos, marketing and sales material, and training videos.
BDA308 Deep Dive: Log Analytics with Amazon Elasticsearch ServiceAmazon Web Services
Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations.
Introduction to Serverless on AWS - Builders Day JerusalemAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
Building Well Architected .NET Apps (WIN304) - AWS re:Invent 2018Amazon Web Services
The AWS Well-Architected Framework was developed to help cloud architects build secure, high-performing, resilient, and efficient infrastructure for their applications. This framework provides a consistent approach for customers and partners to evaluate architectures, and it provides guidance to help implement designs that scales with your application needs over time. In this session, we cover how to build a .NET application using the AWS Well-Architected Framework.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
BDA301 Working with Machine Learning in Amazon SageMaker: Algorithms, Models,...Amazon Web Services
Amazon SageMaker is a machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides several components including algorithms, hyperparameter optimization, and tools for building, hosting and deploying models. Users can choose from Amazon's built-in algorithms or bring their own custom algorithms. Models can be trained on Amazon's GPU and CPU instances and deployed for low latency inference.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
AWS, I Choose You: Pokemon's Battle against the Bots (SEC402-R1) - AWS re:Inv...Amazon Web Services
Join us for this advanced-level talk to learn about Pokemon's journey defending against DDoS attacks and bad bots with AWS WAF, AWS Shield, and other AWS services. We go through their initial challenges and the evolution of their bot mitigation solution, which includes offline log analysis and dynamic updates of badbot IPs along with rate-based rules. This is an advanced talk and assumes some knowledge of Amazon DynamoDB, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, AWS Firewall Manager, AWS Shield, and AWS WAF.
Amazon Prime Video: Delivering the Amazing Video Experience (CTD203-R1) - AWS...Amazon Web Services
In this session, hear engineers from Amazon Prime Video and Amazon CloudFront discuss how they have architected and optimized their video delivery for scaled global audiences. Topics include optimizing the application and video pipeline for use with content delivery networks (CDN), optimizations in the CDN for efficient and performant video delivery, measuring quality, and effectively managing multi-CDN performance and policy. Learn how CloudFront delivers the performance that Prime Video demands, and hear best practices and lessons learned through scaling this fast-growing service.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
The document discusses creating a machine learning factory using AWS services. It describes combining Amazon SageMaker (for building, training, and deploying ML models) with Amazon CodeCommit, CodeBuild, and CodePipeline to create an automated pipeline. When model code or training data changes are committed to CodeCommit, CodePipeline will trigger CodeBuild to build a Docker image, train a model in SageMaker, and deploy the new model. This allows for continuous integration and deployment of ML models, improving the development process for highly-regulated industries like financial services.
Intro to Open Source Databases on AWS - AWS Online Tech TalksAmazon Web Services
"Learning Objectives:
- Learn the benefits of building apps on AWS with open source databases like MySQL, PostgreSQL, Redis, and Memcached
- See how AWS database services provide the simplicity and cost-effectiveness of open source while automating time-consuming administrative tasks
- Get an inside look at how Amazon Aurora, a cloud-native database service, enhances open source MySQL and PostgreSQL with enterprise performance and availability"
[NEW LAUNCH!] Optimize file system costs using Amazon EFS Infrequent Access (...Amazon Web Services
In this session, we introduce the Infrequent Access storage class for Amazon Elastic File System (Amazon EFS). Amazon EFS Infrequent Access is cost-optimized for files not accessed every day, reducing storage costs by up to 85% compared to the Amazon EFS Standard storage class. Along with EFS IA, we introduce EFS Lifecycle Management, which automatically transitions infrequently accessed files into the new storage class. We will share details on how Amazon EFS Infrequent Access works and how to get started. The target audience is file system administrators and application owners who are looking to more cost-effectively run file-based applications in the cloud.
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 these slides, you’ll learn to use AWS tools to secure your environment and maintain a high bar in cloud security. We'll deep dive into the features of AWS CloudTrail, AWS Guard Duty, AWS Inspector, AWS WAF and Shield, and more. We'll also cover how to keep your credentials safe in the cloud using AWS Secrets Manager.
Building Serverless Applications with Amazon DynamoDB & AWS Lambda - Workshop...Amazon Web Services
Join us for this first-ever advanced design and best practices workshop, designed to demonstrate the breadth of AWS serverless offerings and how the components work together. In this interactive workshop, we review the evolution of an e-commerce company that starts with a low-effort serverless product catalog, scales to a million daily users, and then adds analytics and near real-time monitoring. As we progress through the workshop, we dive deeply into AWS serverless services, such as Amazon DynamoDB, AWS Lambda, and Amazon Kinesis. We also use Amazon S3, Amazon API Gateway, Amazon Cognito, and other services that enable you to optimize costs and improve performance. Basic knowledge of DynamoDB, Lambda, and Kinesis is required. Bring your laptop and power supply to this session.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
Optimize Amazon EC2 for Fun and Profit - SRV203 - Chicago AWS SummitAmazon Web Services
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.
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.
Introduction to Serverless on AWS - Builders Day JerusalemAmazon Web Services
Serverless computing allows you to build and run applications without the need for provisioning or managing servers. With serverless computing, you can build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more.
In this session, we will learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.
SRV309 AWS Purpose-Built Database Strategy: The Right Tool for the Right JobAmazon Web Services
In this session, Shawn Bice, VP of NoSQL and QuickSight, covers the AWS purpose-built strategy for databases and explains why your application should drive the requirements of a database, not the other way around. We introduce AWS databases that are purpose-built for your application use cases. Learn why you should select different data services to solve different aspects of an application, and watch a demonstration on which application use cases lend themselves well to which data services. If you’re a developer building modern applications that require flexibility and consistent millisecond performance, and you’re trying to determine what relational and non-relational data services to use, this session is for you.
Building Well Architected .NET Apps (WIN304) - AWS re:Invent 2018Amazon Web Services
The AWS Well-Architected Framework was developed to help cloud architects build secure, high-performing, resilient, and efficient infrastructure for their applications. This framework provides a consistent approach for customers and partners to evaluate architectures, and it provides guidance to help implement designs that scales with your application needs over time. In this session, we cover how to build a .NET application using the AWS Well-Architected Framework.
This document discusses orchestrating AWS Lambda functions with AWS Step Functions. It begins with an overview of serverless applications and the need for coordination between functions. It then introduces AWS Step Functions as a way to visually define, manage, and coordinate functions through state machines. Key features of Step Functions include different state types, input/output processing, error handling, integration with other AWS services, and serverless pricing. Overall, Step Functions allows for building, scaling, and evolving serverless applications in a reliable way.
BDA301 Working with Machine Learning in Amazon SageMaker: Algorithms, Models,...Amazon Web Services
Amazon SageMaker is a machine learning platform that allows users to build, train, and deploy machine learning models at scale. It provides several components including algorithms, hyperparameter optimization, and tools for building, hosting and deploying models. Users can choose from Amazon's built-in algorithms or bring their own custom algorithms. Models can be trained on Amazon's GPU and CPU instances and deployed for low latency inference.
Rightsizing Your Silicon Design Environment: Elastic Clusters for EDA Workloa...Amazon Web Services
The static nature of on-premises electronic design automation (EDA) data centers can limit workloads from scaling to meet unforeseen deadlines and aggressive tape-out schedules. The elasticity of the cloud puts virtually unlimited compute capacity at your fingertips and can enable semiconductor companies to quickly scale up in ways they couldn't before, reducing time to market. In this hands-on workshop, you work alongside solutions architects and the AWS internal silicon design infrastructure team to dive deep into scalable architectures for designing chips in the cloud. You deploy an elastic computing cluster that is optimized for EDA workloads and scales dynamically using AWS services. We cover compute, storage, network, security options, and best practices. Within your AWS account, you will retain a silicon design environment running in the cloud. Come prepared to build with a laptop and an existing AWS account. AWS credits will be provided.
Improve Accessibility Using Machine Learning (AIM332) - AWS re:Invent 2018Amazon Web Services
Machine learning (ML) can help people with disabilities by using facial and object recognition, text-to-speech, automatic translation, and transcription to create assistive applications. In this chalk talk, learn how to assemble ML APIs from AWS to help people in new ways.
AWS, I Choose You: Pokemon's Battle against the Bots (SEC402-R1) - AWS re:Inv...Amazon Web Services
Join us for this advanced-level talk to learn about Pokemon's journey defending against DDoS attacks and bad bots with AWS WAF, AWS Shield, and other AWS services. We go through their initial challenges and the evolution of their bot mitigation solution, which includes offline log analysis and dynamic updates of badbot IPs along with rate-based rules. This is an advanced talk and assumes some knowledge of Amazon DynamoDB, Amazon Kinesis Data Firehose, Amazon Kinesis Data Analytics, AWS Firewall Manager, AWS Shield, and AWS WAF.
Amazon Prime Video: Delivering the Amazing Video Experience (CTD203-R1) - AWS...Amazon Web Services
In this session, hear engineers from Amazon Prime Video and Amazon CloudFront discuss how they have architected and optimized their video delivery for scaled global audiences. Topics include optimizing the application and video pipeline for use with content delivery networks (CDN), optimizations in the CDN for efficient and performant video delivery, measuring quality, and effectively managing multi-CDN performance and policy. Learn how CloudFront delivers the performance that Prime Video demands, and hear best practices and lessons learned through scaling this fast-growing service.
Achieving Business Value with AWS - AWS Online Tech TalksAmazon Web Services
Learning Objectives:
- Learn about the business benefits of moving to the AWS platform
- Learn what the commercial levers are that can help you lower your TCO on AWS
- Discover how other enterprises have used these levers
MySQL High Availability & Disaster Recovery (DAT361) - AWS re:Invent 2018Amazon Web Services
You store some of your most critical data at AWS. That data needs to be available to the application no matter what, and it must not be lost. In this session, we explain how to take your conventional data center's high-availability architecture to AWS, and we show you how you can rely on Amazon Relational Database Service (Amazon RDS) to help you do it. We go into detail on how to use the features in Amazon RDS MySQL and Amazon Aurora MySQL for unparalleled high availability and disaster recovery to keep your applications available and responsive.
AWS Lambda enables you to run code without provisioning or managing servers. AWS Lambda@Edge enables you to write Lambda functions once and execute them wherever your viewers are located. In this session, we walk through examples of web applications that use the serverless programming model for authentication, customization, and security. We show you how to design and deploy intelligent web applications using Lambda@Edge and Amazon CloudFront.
What are the different options for a developer to run his DB in the Cloud? This session will look into the different options and how to choose the right DB for your workload.
Create an ML Factory in Financial Services with CI CD - FSI301 - New York AWS...Amazon Web Services
The document discusses creating a machine learning factory using AWS services. It describes combining Amazon SageMaker (for building, training, and deploying ML models) with Amazon CodeCommit, CodeBuild, and CodePipeline to create an automated pipeline. When model code or training data changes are committed to CodeCommit, CodePipeline will trigger CodeBuild to build a Docker image, train a model in SageMaker, and deploy the new model. This allows for continuous integration and deployment of ML models, improving the development process for highly-regulated industries like financial services.
Intro to Open Source Databases on AWS - AWS Online Tech TalksAmazon Web Services
"Learning Objectives:
- Learn the benefits of building apps on AWS with open source databases like MySQL, PostgreSQL, Redis, and Memcached
- See how AWS database services provide the simplicity and cost-effectiveness of open source while automating time-consuming administrative tasks
- Get an inside look at how Amazon Aurora, a cloud-native database service, enhances open source MySQL and PostgreSQL with enterprise performance and availability"
[NEW LAUNCH!] Optimize file system costs using Amazon EFS Infrequent Access (...Amazon Web Services
In this session, we introduce the Infrequent Access storage class for Amazon Elastic File System (Amazon EFS). Amazon EFS Infrequent Access is cost-optimized for files not accessed every day, reducing storage costs by up to 85% compared to the Amazon EFS Standard storage class. Along with EFS IA, we introduce EFS Lifecycle Management, which automatically transitions infrequently accessed files into the new storage class. We will share details on how Amazon EFS Infrequent Access works and how to get started. The target audience is file system administrators and application owners who are looking to more cost-effectively run file-based applications in the cloud.
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 these slides, you’ll learn to use AWS tools to secure your environment and maintain a high bar in cloud security. We'll deep dive into the features of AWS CloudTrail, AWS Guard Duty, AWS Inspector, AWS WAF and Shield, and more. We'll also cover how to keep your credentials safe in the cloud using AWS Secrets Manager.
Building Serverless Applications with Amazon DynamoDB & AWS Lambda - Workshop...Amazon Web Services
Join us for this first-ever advanced design and best practices workshop, designed to demonstrate the breadth of AWS serverless offerings and how the components work together. In this interactive workshop, we review the evolution of an e-commerce company that starts with a low-effort serverless product catalog, scales to a million daily users, and then adds analytics and near real-time monitoring. As we progress through the workshop, we dive deeply into AWS serverless services, such as Amazon DynamoDB, AWS Lambda, and Amazon Kinesis. We also use Amazon S3, Amazon API Gateway, Amazon Cognito, and other services that enable you to optimize costs and improve performance. Basic knowledge of DynamoDB, Lambda, and Kinesis is required. Bring your laptop and power supply to this session.
Analyze Amazon CloudFront and Lambda@Edge Logs to Improve Customer Experience...Amazon Web Services
Nowadays, web servers are often fronted by a global content delivery network, such as Amazon CloudFront, to accelerate delivery of websites, APIs, media content, and other web assets. In this hands-on-workshop, learn to improve website availability, optimize content based on devices, browser and user demographics, identify and analyze CDN usage patterns, and perform end-to-end debugging by correlating logs from various points in a request-response pipeline. Build an end-to-end serverless solution to analyze Amazon CloudFront logs using AWS Glue and Amazon Athena, generate visualization to derive deeper insights using Amazon QuickSight, and correlate with other logs such as CloudWatch logs to provide finer debugging experiences. Discuss how you can extend the pipeline you just built to generate deeper insights needed to improve the overall experience for your users.
Optimize Amazon EC2 for Fun and Profit - SRV203 - Chicago AWS SummitAmazon Web Services
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
Similar to Optimize Amazon EC2 for Fun and Profit (20)
Come costruire servizi di Forecasting sfruttando algoritmi di ML e deep learn...Amazon Web Services
Il Forecasting è un processo importante per tantissime aziende e viene utilizzato in vari ambiti per cercare di prevedere in modo accurato la crescita e distribuzione di un prodotto, l’utilizzo delle risorse necessarie nelle linee produttive, presentazioni finanziarie e tanto altro. Amazon utilizza delle tecniche avanzate di forecasting, in parte questi servizi sono stati messi a disposizione di tutti i clienti AWS.
In questa sessione illustreremo come pre-processare i dati che contengono una componente temporale e successivamente utilizzare un algoritmo che a partire dal tipo di dato analizzato produce un forecasting accurato.
Big Data per le Startup: come creare applicazioni Big Data in modalità Server...Amazon Web Services
La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup.
Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti.
Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.
Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi
Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Come spendere fino al 90% in meno con i container e le istanze spot Amazon Web Services
L’utilizzo dei container è in continua crescita.
Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili.
I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!
In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th.
Event Agenda :
Open banking so far (short recap)
• PSD2, OB UK, OB Australia, OB LATAM, OB Israel
Intro to Open Finance marketplace
• Scope
• Features
• Tech overview and Demo
The role of the Cloud
The Future of APIs
• Complying with regulation
• Monetizing data / APIs
• Business models
• Time to market
One platform for all: a Strategic approach
Q&A
Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...Amazon Web Services
Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc.
AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta.
Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.
OpsWorks Configuration Management: automatizza la gestione e i deployment del...Amazon Web Services
Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity.
AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet.
Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.
Microsoft Active Directory su AWS per supportare i tuoi Windows WorkloadsAmazon Web Services
Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.
Dal riconoscimento facciale al riconoscimento di frodi o difetti di fabbricazione, l'analisi di immagini e video che sfruttano tecniche di intelligenza artificiale, si stanno evolvendo e raffinando a ritmi elevati. In questo webinar esploreremo le possibilità messe a disposizione dai servizi AWS per applicare lo stato dell'arte delle tecniche di computer vision a scenari reali.
Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti.
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
Crea la tua prima serverless ledger-based app con QLDB e NodeJSAmazon Web Services
Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti.
Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire.
Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito.
In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.
Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline.
Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.
Database Oracle e VMware Cloud™ on AWS: i miti da sfatareAmazon Web Services
Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi.
La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.
In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.
1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS).
2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels.
3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.
This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.
This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.
This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.
AWS_HK_StartupDay_Building Interactive websites while automating for efficien...Amazon Web Services
This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.
Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.