Aws hack n roll 2019 - Build aws service with QRCode
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Aws hack n roll 2019 in Taipei AWS service sometimes to complicate to the users. If a platform provider a template which you can focus on your application, but use the enterprise infrastructure template to deploy to AWS. Would it to be easier?
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Aws architecture problems while being fancy
This document discusses various AWS services, including their benefits, common design patterns, and challenges. It provides an overview of services like EC2, S3, DynamoDB, API Gateway, Lambda, SQS, and Elasticsearch. While AWS makes infrastructure management easier, the document notes challenges like limited functionality of some newer services, inconsistent availability across regions, complexity of DynamoDB queries, and limitations of services like SQS message size. Custom Lambda functions are highlighted as a way to customize AWS architectures.
ADLA Batch system
This document summarizes a presentation about migrating an existing ad data loading (ADLA) batch system to Amazon Batch Service. It outlines problems with the old single-server system like slowdowns from multiple batches running at once. The solution section then explains how Amazon Batch Service provides optimized compute resources and workload distribution. It details how the batches were refactored as Docker images and job definitions to run on Amazon Batch's compute environments and job queues. The last section previews a demo of the new system and lists pros like scalability and cons like increased management overhead.
Financial Death Trap as a Service: Cloud Computing Providers - Boaz Menuhin, ...
Boaz Menuhin discusses how cloud computing providers build pricing models to maximize profits through opaque pricing structures that can trap customers financially. He outlines how providers 1) offer basic services, 2) create proprietary systems, 3) introduce common services with hidden costs, and 4) profit from side fees. Menuhin advocates hacking pricing models by building alternatives to proprietary systems and leveraging low-cost options like spot instances.
Urturn on AWS: scaling infra, cost and time to maket
The document discusses Urturn's infrastructure on AWS and how it has scaled over time. Some key points:
- Urturn initially used AWS to scale its infrastructure quickly and reduce costs and time to market.
- The architecture included load balancers, web and application servers, databases, caching, and storage on AWS.
- Over time Urturn leveraged more AWS services like spot instances, load testing, and additional databases and caches.
- If starting again, Urturn would consider using more native AWS services like DynamoDB, RDS, CloudSearch, SQS, SES, and ElastiCache.
Yipit - AWS Start-Up Customer
Yipit is the largest daily deal aggregator in the US with 20 employees and 40+ servers hosted on AWS. It was built using Python, Django, Nginx, Gunicorn, Celery, MySQL, MongoDB, Redis and DynamoDB. AWS services currently used include S3, EC2, CloudWatch, CloudFront, RDS, ElastiCache, SQS, IAM, Route53 and DynamoDB. AWS provides benefits like speed of iteration, infrastructure as code, leveraging AWS expertise, and automation which helps Yipit as a startup. Yipit monitors its infrastructure using New Relic, Django Sentry, Papertrail, AppFirst and Stathat.
Workshop: Deploy a Deep Learning Framework on Amazon ECS
This document provides an overview and agenda for a workshop on deploying a deep learning framework on Amazon ECS and Spot Instances. The workshop will:
- Introduce MXNet, an open source deep learning framework, and how it can be used to define, train, and deploy neural networks.
- Discuss containers and how they can increase infrastructure utilization and make it easy to deploy diverse applications on shared hardware.
- Provide an overview of Amazon ECS for managing Docker containers, Amazon ECR for storing container images, and Spot Instances for running containers on unused EC2 capacity.
- Include hands-on labs to set up the environment, build an MXNet Docker image,
Optimizing Costs and Efficiency of AWS Services
This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.
Operational challenges behind Serverless architectures
Serverless architectures are promising and will play an important role in the coming years but the ecosystem around serverless is still pretty young. We have been operating Lambda based applications for about a year and faced several challenges. In this presentation we share these challenges and propose some solutions to work around them.
Empfohlen
Aws architecture problems while being fancy
This document discusses various AWS services, including their benefits, common design patterns, and challenges. It provides an overview of services like EC2, S3, DynamoDB, API Gateway, Lambda, SQS, and Elasticsearch. While AWS makes infrastructure management easier, the document notes challenges like limited functionality of some newer services, inconsistent availability across regions, complexity of DynamoDB queries, and limitations of services like SQS message size. Custom Lambda functions are highlighted as a way to customize AWS architectures.
ADLA Batch system
This document summarizes a presentation about migrating an existing ad data loading (ADLA) batch system to Amazon Batch Service. It outlines problems with the old single-server system like slowdowns from multiple batches running at once. The solution section then explains how Amazon Batch Service provides optimized compute resources and workload distribution. It details how the batches were refactored as Docker images and job definitions to run on Amazon Batch's compute environments and job queues. The last section previews a demo of the new system and lists pros like scalability and cons like increased management overhead.
Financial Death Trap as a Service: Cloud Computing Providers - Boaz Menuhin, ...
Boaz Menuhin discusses how cloud computing providers build pricing models to maximize profits through opaque pricing structures that can trap customers financially. He outlines how providers 1) offer basic services, 2) create proprietary systems, 3) introduce common services with hidden costs, and 4) profit from side fees. Menuhin advocates hacking pricing models by building alternatives to proprietary systems and leveraging low-cost options like spot instances.
Urturn on AWS: scaling infra, cost and time to maket
The document discusses Urturn's infrastructure on AWS and how it has scaled over time. Some key points:
- Urturn initially used AWS to scale its infrastructure quickly and reduce costs and time to market.
- The architecture included load balancers, web and application servers, databases, caching, and storage on AWS.
- Over time Urturn leveraged more AWS services like spot instances, load testing, and additional databases and caches.
- If starting again, Urturn would consider using more native AWS services like DynamoDB, RDS, CloudSearch, SQS, SES, and ElastiCache.
Yipit - AWS Start-Up Customer
Yipit is the largest daily deal aggregator in the US with 20 employees and 40+ servers hosted on AWS. It was built using Python, Django, Nginx, Gunicorn, Celery, MySQL, MongoDB, Redis and DynamoDB. AWS services currently used include S3, EC2, CloudWatch, CloudFront, RDS, ElastiCache, SQS, IAM, Route53 and DynamoDB. AWS provides benefits like speed of iteration, infrastructure as code, leveraging AWS expertise, and automation which helps Yipit as a startup. Yipit monitors its infrastructure using New Relic, Django Sentry, Papertrail, AppFirst and Stathat.
Workshop: Deploy a Deep Learning Framework on Amazon ECS
This document provides an overview and agenda for a workshop on deploying a deep learning framework on Amazon ECS and Spot Instances. The workshop will:
- Introduce MXNet, an open source deep learning framework, and how it can be used to define, train, and deploy neural networks.
- Discuss containers and how they can increase infrastructure utilization and make it easy to deploy diverse applications on shared hardware.
- Provide an overview of Amazon ECS for managing Docker containers, Amazon ECR for storing container images, and Spot Instances for running containers on unused EC2 capacity.
- Include hands-on labs to set up the environment, build an MXNet Docker image,
Optimizing Costs and Efficiency of AWS Services
This session is a deep dive into techniques used by successful customers who optimized their use of AWS. Learn tricks and hear tips you can implement right away to reduce waste, choose the most efficient instance, and fine-tune your spending; often with improved performance and a better end-customer experience. We showcase innovative approaches and demonstrate easily applicable methods to save you time and money with Amazon EC2, Amazon S3, and a host of other services.
Operational challenges behind Serverless architectures
Serverless architectures are promising and will play an important role in the coming years but the ecosystem around serverless is still pretty young. We have been operating Lambda based applications for about a year and faced several challenges. In this presentation we share these challenges and propose some solutions to work around them.
Introduction to Amazon EC2 Spot Instances
This document provides an introduction to Amazon EC2 Spot Instances, including:
- An overview of AWS EC2 consumption models including On-Demand, Reserved, and Spot Instances
- Details on how Spot Instances provide spare computing capacity at low prices based on supply and demand
- Examples of how customers can save up to 90% on EC2 costs by using Spot Instances for batch processing, stateless applications, and other time-insensitive workloads
- A demonstration of how to launch a Spot Fleet for an application running on Amazon ECS to take advantage of the low pricing of Spot Instances
Serverless Data Lake on AWS
https://datalake.aws.job4u.io/en/
You are a Data Analytics Team at Unicorn-Taxi Startup. You’ve been asked to help with the following tasks:
* Create a Dataset for Reporting and Visualization: Cleanse, Transform, Optimize for Reporting Queries
* Help solve a Machine Learning problem: Unicorn-Taxi’s Data Scientists need to understand Passenger tipping behavior
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.
AWSKRUG 콘퍼런스 - re:Invent 신규 서비스 (박상욱) - 보안, 인프라 관련 서비스 소개
The document summarizes AWS re:Invent 2015, which took place from October 6-9, 2015 in Las Vegas with over 19,000 attendees. It provides an overview of the keynote and sessions and lists 20 new AWS services and updates that were announced, including AWS WAF, Amazon QuickSight, Amazon Inspector, AWS Config Rules, AWS Import/Export Snowball, and Amazon RDS for MariaDB.
Rackspace Real Stories – Designing and Migrating with Ops in Mind – Rackspace
In this session, we will share real world experiences in deploying complex AWS environments, including the operational considerations you should know upfront. Hear from Airtasker’s CEO and Technical Lead on their key lessons learnt and how they were able to more than double their number of registered community members in one year.
Speakers:
Chris Buckley, Team Lead, Fanatical Support for AWS, Rackspace
Tim Fung, Founder and CEO at Airtasker
Dave McPherson, Technical Lead at Airtasker
Day 3 - Maintaining Performance & Availability While Lowering Costs with AWS
AWS provides you several pricing options that can help you significantly reduce your overall IT cost, including On-Demand Instances, Spot Instances, and Reserved Instances. This session covers high-level architectures and when to use and not to use each of the pricing models for components of those architectures. We walk through several customer examples to illustrate when to use each pricing option. Additionally, we walk through tools that may be useful to determine when to use each pricing model. This session is aimed at technically savvy managers and engineers who need to reduce their cloud spending.
Reasons to attend:
- Learn about Reserved Instances, On-Demand Instances and Spot Instances.
- Discover ways of running more for less in Amazon EC2.
- If you are already running a workload in AWS, attend this webinar to learn how to run the same workload at reduced costs.
AWS re:Invent 2016: Serverless Computing Patterns at Expedia (SVR306) )
In the middle of 2015, Expedia started using AWS Lambda for serverless computing. We built boilerplate templates in Node.js, Java, and Python so development teams could build and deploy serverless applications into AWS. Currently, we have 300 AWS Lambda functions processing 40 million invocations per day.
In this session, we will discuss how development teams use boilerplate templates to create serverless applications with Amazon API Gateway and AWS Lambda and how they deploy them to AWS. We will cover patterns, architectural design choices, and the benefits --- like cost, scale, availability, and operations --- of running serverless applications.
AWS reInvent 2016 recap Taiwan
In this 10-minute long keynote sharing for AWS re:Invent 2016 recap Taiwan, three topics (or issues) we encountered are mentioned. What we got and learnt after the event is quite interesting...
AWSome Day Intro
The document provides an agenda for an AWS event taking place on November 3, 2016 in Bucharest, Romania. The agenda includes sessions on AWS services like storage, compute, databases and managed services as well as business topics like cloud computing benefits and security and compliance. There will also be technical and business tracks running concurrently throughout the day along with introductions to the AWS Partner Network.
(CMP311) This One Weird API Request Will Save You Thousands
"Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.
In this session, we dive into best practices and new features that will help you realize immediate cost savings, maximize compute capacity within your budget, and maintain application availability and performance with less up-front or ongoing development effort. Attendees leave with practical knowledge of Spot bidding strategies, market trends, instance selection and benchmarking, and fault-tolerant architecture with examples taken from common Spot use cases such as web services, big data/analytics, media processing, and continuous integration workloads."
Cloud computing introduction
Cloud computing is the on-demand delivery of computing resources like servers, storage, databases, networking, software and analytics over the internet. It provides advantages like on-demand self-service, broad network access, resource pooling, rapid elasticity and pay-as-you-go pricing. Major cloud providers like Amazon Web Services (AWS) offer infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Large companies like DBS Bank, Grab and Netflix leverage AWS's capabilities for tasks like hosting web services, matching drivers to passengers efficiently and video transcoding.
Born in the Cloud; Build it Like a Startup
This document discusses different architectural approaches that can be used when deploying workloads on AWS like startups. It summarizes virtual machine-based n-tier architectures, container-based architectures using ECS, and serverless architectures using Lambda. It also discusses how these architectures impact cost, performance, reliability and other factors. The document recommends letting development teams choose the right tools for their needs and adopting a microservices approach to scale complexity over time.
gkkAwscloudpractitioneressentialstraining
This document provides information about an AWS Cloud Practitioner Essentials training being conducted by an instructor. The instructor has several IT and cloud computing certifications. The training will provide an introduction to AWS core services, how AWS can help organizations, and various AWS computing, networking, storage, database, security, and monitoring services. The agenda outlines the topics to be covered each day. The training aims to help students gain an overall understanding of AWS and prepare for the AWS Certified Cloud Practitioner exam.
CloudFormation Best Practices
This document provides an overview and best practices for using AWS CloudFormation. It discusses what CloudFormation is, why it is useful for implementing infrastructure as code, and the key components of CloudFormation templates like parameters, mappings, resources and outputs. It also covers best practices for planning templates, creating templates, and managing CloudFormation stacks.
Cross-regional Application Deplolyment on AWS - Channy Yun (JAWS Days 2017)
Cross-regional Application Deplolyment on AWS - Channy Yun (JAWS Days 2017)Amazon Web Services Korea
今回のセッションでは、ソウルリージョンの詳細な情報と東京リージョンユーザーのために、ソウルリージョン活用方法について説明します。
まず、ソウルリージョンで提供されるサービスのリストと主要な顧客事例についてお知らせします。
そして、AWSでは、マルチリージョンを活用する理由を紹介して、マルチリージョンを通じた高可用性のためにAWS CloudFormationとLambdaを通じたAmazon EC2の自動バックアップ、Amazon S3、Aurora、DynomoDBのクロスリージョンレプリケーション機能を含めて、さまざまなアーキテクチャ構成方式とマルチリージョンフェイルオーバーのデモを紹介します。
http://jawsdays2017.jaws-ug.jp/session/1738/Introduction to Amazon EC2 Spot
Amazon EC2 Spot instances provide acceleration, scale, and deep cost savings to run time-critical, hyper-scale workloads for rapid data analysis. In this session,you will learn best practices on how to scale big data workloads as well as process, store, and analyze big data securely and cost effectively.
AWS AutoScalling- Tech Talks Maio 2019
This document discusses Auto Scaling on AWS. It provides an overview of how Auto Scaling works by launching EC2 instances in response to changing demand while maintaining availability and managing costs. Auto Scaling uses launch configurations, Auto Scaling groups, and scaling policies to dynamically add or remove EC2 capacity based on CloudWatch metrics and alarms. It allows scaling capacity up and down automatically according to conditions defined through scaling policies to maintain application availability and flexibility.
Running Lean Architectures
hether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers.
[DevDay2018] Introduction to Cloud Computing and AWS platform - By: Bach Huy...
In this session, Bach will deliver a presentation on:
– The basics of cloud computing and major cloud service providers in the world.
– Overview of AWS platform.
AWS CloudFormation: Infrastructure as Code | AWS Public Sector Summit 2016
This session provides the attendee with an overview of our AWS CloudFormation service and helps the customer to realize the benefits of "infrastructure as code." A demo is part of this session.
All you need to know about Spring Boot and GraalVM
All you need to know about Spring Boot and GraalVM 🐰
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Introduction to Amazon EC2 Spot Instances
This document provides an introduction to Amazon EC2 Spot Instances, including:
- An overview of AWS EC2 consumption models including On-Demand, Reserved, and Spot Instances
- Details on how Spot Instances provide spare computing capacity at low prices based on supply and demand
- Examples of how customers can save up to 90% on EC2 costs by using Spot Instances for batch processing, stateless applications, and other time-insensitive workloads
- A demonstration of how to launch a Spot Fleet for an application running on Amazon ECS to take advantage of the low pricing of Spot Instances
Serverless Data Lake on AWS
https://datalake.aws.job4u.io/en/
You are a Data Analytics Team at Unicorn-Taxi Startup. You’ve been asked to help with the following tasks:
* Create a Dataset for Reporting and Visualization: Cleanse, Transform, Optimize for Reporting Queries
* Help solve a Machine Learning problem: Unicorn-Taxi’s Data Scientists need to understand Passenger tipping behavior
AWS re:Invent 2016: Running Lean Architectures: How to Optimize for Cost Effi...
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; choosing the optimal instance type through load testing; taking advantage of Multi-AZ support; and using Amazon CloudWatch to monitor usage and automatically shut off resources when they are not in use. We discuss taking advantage of tiered storage and caching, offloading content to Amazon CloudFront to reduce back-end load, and getting rid of your back end entirely by leveraging AWS high-level services. We also showcase simple tools to help track and manage costs, including Cost Explorer, billing alerts, and AWS Trusted Advisor. This session is your pocket guide for running cost effectively in the Amazon Cloud.
Attendees of this session receive a free 30-day trial of enterprise-level Trusted Advisor.
AWSKRUG 콘퍼런스 - re:Invent 신규 서비스 (박상욱) - 보안, 인프라 관련 서비스 소개
The document summarizes AWS re:Invent 2015, which took place from October 6-9, 2015 in Las Vegas with over 19,000 attendees. It provides an overview of the keynote and sessions and lists 20 new AWS services and updates that were announced, including AWS WAF, Amazon QuickSight, Amazon Inspector, AWS Config Rules, AWS Import/Export Snowball, and Amazon RDS for MariaDB.
Rackspace Real Stories – Designing and Migrating with Ops in Mind – Rackspace
In this session, we will share real world experiences in deploying complex AWS environments, including the operational considerations you should know upfront. Hear from Airtasker’s CEO and Technical Lead on their key lessons learnt and how they were able to more than double their number of registered community members in one year.
Speakers:
Chris Buckley, Team Lead, Fanatical Support for AWS, Rackspace
Tim Fung, Founder and CEO at Airtasker
Dave McPherson, Technical Lead at Airtasker
Day 3 - Maintaining Performance & Availability While Lowering Costs with AWS
AWS provides you several pricing options that can help you significantly reduce your overall IT cost, including On-Demand Instances, Spot Instances, and Reserved Instances. This session covers high-level architectures and when to use and not to use each of the pricing models for components of those architectures. We walk through several customer examples to illustrate when to use each pricing option. Additionally, we walk through tools that may be useful to determine when to use each pricing model. This session is aimed at technically savvy managers and engineers who need to reduce their cloud spending.
Reasons to attend:
- Learn about Reserved Instances, On-Demand Instances and Spot Instances.
- Discover ways of running more for less in Amazon EC2.
- If you are already running a workload in AWS, attend this webinar to learn how to run the same workload at reduced costs.
AWS re:Invent 2016: Serverless Computing Patterns at Expedia (SVR306) )
In the middle of 2015, Expedia started using AWS Lambda for serverless computing. We built boilerplate templates in Node.js, Java, and Python so development teams could build and deploy serverless applications into AWS. Currently, we have 300 AWS Lambda functions processing 40 million invocations per day.
In this session, we will discuss how development teams use boilerplate templates to create serverless applications with Amazon API Gateway and AWS Lambda and how they deploy them to AWS. We will cover patterns, architectural design choices, and the benefits --- like cost, scale, availability, and operations --- of running serverless applications.
AWS reInvent 2016 recap Taiwan
In this 10-minute long keynote sharing for AWS re:Invent 2016 recap Taiwan, three topics (or issues) we encountered are mentioned. What we got and learnt after the event is quite interesting...
AWSome Day Intro
The document provides an agenda for an AWS event taking place on November 3, 2016 in Bucharest, Romania. The agenda includes sessions on AWS services like storage, compute, databases and managed services as well as business topics like cloud computing benefits and security and compliance. There will also be technical and business tracks running concurrently throughout the day along with introductions to the AWS Partner Network.
(CMP311) This One Weird API Request Will Save You Thousands
"Amazon EC2 allows you to bid for and run spare EC2 capacity, known as Spot instances, in a dynamically priced market. On average, customers save 80% to 90% compared to On Demand prices by using Spot instances. Achieving these savings has historically required time and effort to find the best deals while managing compute capacity as supply and demand fluctuate.
In this session, we dive into best practices and new features that will help you realize immediate cost savings, maximize compute capacity within your budget, and maintain application availability and performance with less up-front or ongoing development effort. Attendees leave with practical knowledge of Spot bidding strategies, market trends, instance selection and benchmarking, and fault-tolerant architecture with examples taken from common Spot use cases such as web services, big data/analytics, media processing, and continuous integration workloads."
Cloud computing introduction
Cloud computing is the on-demand delivery of computing resources like servers, storage, databases, networking, software and analytics over the internet. It provides advantages like on-demand self-service, broad network access, resource pooling, rapid elasticity and pay-as-you-go pricing. Major cloud providers like Amazon Web Services (AWS) offer infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). Large companies like DBS Bank, Grab and Netflix leverage AWS's capabilities for tasks like hosting web services, matching drivers to passengers efficiently and video transcoding.
Born in the Cloud; Build it Like a Startup
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今回のセッションでは、ソウルリージョンの詳細な情報と東京リージョンユーザーのために、ソウルリージョン活用方法について説明します。
まず、ソウルリージョンで提供されるサービスのリストと主要な顧客事例についてお知らせします。
そして、AWSでは、マルチリージョンを活用する理由を紹介して、マルチリージョンを通じた高可用性のためにAWS CloudFormationとLambdaを通じたAmazon EC2の自動バックアップ、Amazon S3、Aurora、DynomoDBのクロスリージョンレプリケーション機能を含めて、さまざまなアーキテクチャ構成方式とマルチリージョンフェイルオーバーのデモを紹介します。
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