WordCamp IL 2016 - WordPress Scale on AWS

AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control, and share your application configuration. This session will cover topics like application updates, customization, and working with resources such as load balancers and databases. This session is recommended for people who understand AWS and want to know more about deployment options for their applications.

AWS Summit Stockholm 2014 – T5 – Deploy, manage and scale applications on AWS

AWS offers a number of services that help you easily deploy and run applications in the cloud. Come to this session to learn how to choose among these options. Through interactive demonstrations, this session will show you how to get an application running using AWS OpsWorks and AWS Elastic Beanstalk application management services. You will also learn how to use AWS CloudFormation templates to document, version control and share your application configuration. This session will cover topics such as application updates, customization and working with resources including load balancers and databases.

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Just as serverless application development is rapidly becoming the most popular way to bring highly scalable applications to the cloud, .NET has undergone radical changes with .NET Core to become a premier development platform for the cloud. In this session, you will learn how to use the newly launched C# support for .NET Core with AWS Lambda to create highly scalable serverless applications that target platforms from the traditional desktop to mobile devices. We will demonstrate how to write, test, and deploy C# code to AWS Lambda and see how we can leverage our serverless back end from mobile applications.

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You can now develop your AWS Lambda functions in C# using the .NET Core 1.0 runtime. The easiest way to get started is with the AWS Toolkit for Visual Studio, which includes project templates for individual C# Lambda functions, full C# serverless applications, and also tools to publish both projects types to AWS. To manually create a C# Lambda function, you simply specify the Lambda runtime parameter as “netcore1.0” and upload the ZIP of all NuGet dependencies as well as your own published DLL assemblies through the AWS CLI or AWS Lambda console. Alternatively, you can use AWS CloudFormation through the AWS Serverless Application Specification for deploying your C# Lambda function.

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Symfony + AWS Lambda Serverless services, like AWS Lambda, have been proven useful to solve a wide range of problems, and its use is growing rapidly. Recently, the possibility to use the PHP runtime in Lambda was added, so why not trying to use our favorite framework? How can we make the most from a serverless approach? What are pros and cons? In this session we will analyze the necessary steps to set up a Symfony4 project in Lambda and deploy it.

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Serverless has gained a lot on popularity recently and changed the way we develop the applications. We no longer need to care about setting up and managing the servers, scalability and deployment is simplified. Serverless is very often referred to as the approach which will let you to shift focus to implementing business logic when writing the code. But where has the complexity moved to now? How performant is Java code in serverless solution? Is serverless good for complex solutions? What are the benefits? During my talk I’d like to answer those questions based on our experiences of working on serverless solution written fully in Java.

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Visual effects rendering has traditionally been a time consuming, resource intensive process. As a result, content producers are moving rendering workloads to the AWS cloud to take advantage of the scalable, on-demand compute resources that can accelerate their rendering workloads. By attending this webinar, you will learn how to create a scalable rendering infrastructure to grow your farm for any size workload, reduce overall processing time with on-demand and reserve compute instances, and move to a project based cost structure. You will also learn how to implement hybrid rendering workloads using Thinkbox dependency manager. Learning Objectives: How to use AWS Cloud to rapidly scale up and down rendering infrastructure to power ThinkBox Deadline software in the cloud for visual effects rendering Who should attend: IT administrators, rendering and visual effects professionals

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The .NET Platform is undergoing a revolution with a new modularized .NET Framework and CoreCLR, a new cross platform runtime. ASP.NET 5 gives .NET developers the ability to develop and run their applications outside of Windows. In this session we will explore how to develop and deploy ASP.NET 5 applications on Windows with AWS CodeDeploy and Linux with Docker. For Docker we will explore using Docker with both Elastic Beanstalk and EC2 Container Service.

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Migrating on-premises workloads to AWS is a top priority for customers today. AWS has an array of tools and capabilities to make the move faster and less risky. This deep-dive session presents how to build a migration framework for your Windows-based applications by using AWS CloudFormation templates, along with multisite replication capabilities built into AWS and optimized for Microsoft Windows workloads built on SQL HA. This framework helps speed up your data center migration and minimize risk during the process.

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This talk explains the reasons why virtualizing Spark, in-house or elsewhere, is a requirement in today’s fast-moving and experimental world of data science and data engineering. Different teams want to spin up a Spark cluster “on the fly” to carry out some research and quickly answer business questions. They are not concerned with the availability of the server hardware – or with what any other team might be doing on it at the time. Virtualization provides the means of working within your own sandbox to try out the new query or Machine Learning algorithm. Deep performance test results will be shown that demonstrate that Spark and ML programs perform equally well on virtual machines just like native implementations do. An early introduction is given to the best practices you should adhere to when you do this.

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Your spend on AWS should always be optimized. Whether you are seeing usage increase because your customers are relying more on your services, or you just want to dial-in your spending for the road ahead, there are things you can and should do to optimize your cloud costs. In this session we will highlight six quick cost optimizations every startup should consider depending on workloads and the patterns you are seeing. We will give you the tools and approaches that can have a significant impact on your startup right now and moving forward. Some of which you can implement right after this session.

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Serverless is always evolving (faster than any definition) and each year new capabilities simplify existing workloads and enable new applications to be implemented in an easier, more efficient way. At AWS, we have focused on improving observability, configuration management, functions invocations, service integrations, and execution environments. Looking at some of the more recent updates, this session is introducing the reasoning behind the new features, and how to use them to reduce your architecture complexity, including real world examples of what AWS customers are doing, so that you can focus on creating value for YOUR customers.

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AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. With AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices (such as ESP8266/ESP32) can leverage AWS IoT.

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Modern Application Development, using Microservices and Serverless, allow you to build and run simpler and more efficient applications, while improving your agility and saving a lot of money. The ability to deploy your applications without the need for provisioning or managing servers opens new opportunities to build web, mobile, and IoT backends; run stream processing or big data workloads; run chatbots, and more, without the investment in hardware or professional manpower to run this hardware. In this session, we will learn how to get started with Microservices and Serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers.

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Amazon S3 supports a wide range of storage classes to help you cost-effectively store your data. Each of the S3 Storage Classes is designed to support different use cases while reliably protecting your data. In this session, we will look into the different S3 Storage Classes, their respective key features, and the use cases they support, while focusing on the newest storage class S3 Intelligent-Tiering-the first cloud storage class that automatically optimizes storage costs for data with changing access patterns.

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AI and Machine learning allow developers to introduce new voice and language capabilities in their apps and use Natural Language Processing and Natural Language Understanding to break language barriers, add new functionality and expand their target audience. This session will focus on several AWS AI services for developers, that allow you to add such functionality to your code with minimal effort. We will build an automatic translator, interact with text to speech and connect to a multilingual call center that can be expended to new languages in minutes.

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Building IoT solutions require a lot of heavy lifting. AWS IoT helps you deal with security, connectivity, date, business logic, updates and more and allows you to extend cloud capabilities to your edge devices. In this tech talk, we'll discuss the challenges of running IoT devices and how constrained devices can leverage AWS IoT. We'll use AWS IoT Button and other devices to demonstrate building a real, securely connected, product with AWS IoT.

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