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?
Aws architecture problems while being fancyGoran Kopevski
Being a pioneer in a field most of the time gives you a boost when you are showing your portfolio. It is enriched with lots of fancy and buzz words and when you talk with your friends and colleagues you sound as you are talking rocket science and you look smart. And that is a good thing. On the other side, you have a lot of hidden traps that you need to overcome when working with new architecture technologies. In this talk I will present the architecture that me and my team created on top of AWS. The architecture currently is serving millions of users on daily basis with 90%+ score in every performance test. It consists of 15+ services that are provided by AWS. The presentation will focus on all of the good things and the problems that we are facing while using AWS services.
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
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.
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.
Aws architecture problems while being fancyGoran Kopevski
Being a pioneer in a field most of the time gives you a boost when you are showing your portfolio. It is enriched with lots of fancy and buzz words and when you talk with your friends and colleagues you sound as you are talking rocket science and you look smart. And that is a good thing. On the other side, you have a lot of hidden traps that you need to overcome when working with new architecture technologies. In this talk I will present the architecture that me and my team created on top of AWS. The architecture currently is serving millions of users on daily basis with 90%+ score in every performance test. It consists of 15+ services that are provided by AWS. The presentation will focus on all of the good things and the problems that we are facing while using AWS services.
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
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.
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.
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...Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; 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.
Rackspace Real Stories – Designing and Migrating with Ops in Mind – Rackspace Amazon Web Services
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 AWSAmazon Web Services
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) )Amazon Web Services
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.
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...
(CMP311) This One Weird API Request Will Save You ThousandsAmazon Web Services
"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."
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.
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...DevDay.org
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 2016Amazon Web Services
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.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
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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...Amazon Web Services
Whether you’re a cash-strapped startup or an enterprise optimizing spend, it pays to run cost-efficient architectures on AWS. This session reviews a wide range of cost planning, monitoring, and optimization strategies, featuring real-world experience from AWS customers. We cover how to effectively combine Amazon EC2 On-Demand, Reserved, and Spot instances to handle different use cases; leveraging Auto Scaling to match capacity to workload; 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.
Rackspace Real Stories – Designing and Migrating with Ops in Mind – Rackspace Amazon Web Services
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 AWSAmazon Web Services
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) )Amazon Web Services
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.
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...
(CMP311) This One Weird API Request Will Save You ThousandsAmazon Web Services
"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."
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.
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...DevDay.org
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 2016Amazon Web Services
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.
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Accelerate Enterprise Software Engineering with PlatformlessWSO2
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Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
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