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Showing 17 out of 17 results
AWS Failure Injection Simulator: New Chaos Engineering as a Service Offering
Recently, AWS introduced the company’s chaos engineering as a service offering, AWS Fault Injection Simulator, built with the purpose of simplifying the process of running chaos experiments in the cloud. We asked Adrian Cockcroft, AWS VP of cloud architecture strategy about chaos engineering, what the challenges are that put people off adopting it, and how AWS’s new tool fits in the space.
AWS Cookbook: Recipes for Success on AWS
If you are working with AWS on a daily basis or are looking into it then the AWS Cookbook by John Culkin and Mike Zazon should definitely be on your radar. Explore some of the recipes that can ease and improve your work in a discussion with Kesha Williams, senior manager at Slalom. Some of the recipes discussed look at security, networking, storage, serverless, and containers.
Alexa, Let’s Build a Serverless Skill
Amazon Alexa is the voice service that powers devices like the Amazon Echo. With Alexa, you can do everything—turn your lights on and off, play your favorite songs, and order a pizza just by speaking to it! In this session, you'll learn how to easily create a new Alexa Skill service without the need to manage any server infrastructure. By combining AWS services such as AWS Lambda, Amazon DynamoDB, and the Alexa Skills Kit, we’ll create a new skill, test it, deploy it, and show you how you can start adding your own capabilities to Alexa.
From Your Keyboard to your Customers without a Server to Manage In-between
Maybe you've heard of serverless applications, but aren't quite sure where to get started or what to do once your MVP needs to grow past the "viable" product you've developed locally? In this session, we'll cover the serverless application journey starting from step zero and ending with production-grade built, tested, and deployed serverless applications. We'll discuss troubleshooting tactics, best practices for application monitoring, and smart ways to navigate the new world of serverless.
AWS Lambda - Logic in the cloud without a back-end.
<p><span class="s1">AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.</span></p> <p> </p> <p><span>In this session with AWS Technical Evangelist, Ian Massingham, we will explore some of the most common use cases for AWS Lambda and then dive into a demo of using AWS Lambda as a backend for your connected device IoT applications</span></p>
Serverless Chatbots with Amazon Lex & AWS Lambda
Chatbots are changing how companies engage and service their customers across multiple functions, from sales to customer support and more. With Amazon Lex and AWS Lambda, you can now easily build rich, conversational interfaces into any application. Powered by the same technology as Alexa, Amazon Lex provides automatic speech recognition (ASR) as well as natural language understanding (NLU). AWS Lambda lets you build function-based serverless applications. Used together, Lex and Lambda let you build chatbots that rapidly scale and which require almost zero administration or capacity planning. Come to this session to learn how to quickly get started and build your first serverless chatbot!
Designing for the Serverless Age
Serverless architectures can bring significant benefits, but have a major impact on architecture and require teams to re-think how to approach sessions, storage, authorization and testing. Gojko will present lessons hard learned from a year of rewriting services to run in AWS Lambda.
Internet of Healthcare Things – A Platform Approach
Everything today is connected – from toothbrushes to MRI machines. Just connecting a device to the internet does not make it “smart;” it’s not that hard to add connectivity to a device. Things get interesting when you can see the benefits of connected devices sharing information and gathering insights to learn context and see the holistic view of the consumer. To enable this, we need platforms that allow collection, processing, storage and analysis of data. Creating such a platform presents several technical and non-technical challenges. This talk will address these challenges ways in which Philips is addressing these challenges. Some of the topics addressed are: Design of API/functionality applicable across the health continuum (tooth brushes to MRI machines), Security, Privacy, Documentation/adoption support and life cycle management. The talk will also specifically address how the platform leverages standard technology, frameworks and protocols like AWS, Spring, Postgres to build a platform conforming to healthcare regulations.
Keynote: Cloud Trends
The cloud ecosystem continues to mature, and customers are looking for staying power, as small vendors and small clouds from some big vendors fade away and close down. The ability to support and migrate enterprise workloads is critical for winning the biggest new cloud deals. Extremely scalable cloud capacity is critical to provide room for the largest web scale customers to keep growing. In 2014 we saw many enterprises sign up for AWS, start proof of concept tests and launch green-field applications. In 2015 larger scale migrations started, and plans were made for entire datacenters to be replaced by public cloud accounts. In 2016 these changes moved from early adopter markets such as media and retail, and started to take root in finance, as banks, insurance companies and their regulators figured out how to run and audit public cloud applications. Next up: early adopters in the energy, transport, government, manufacturing and healthcare markets are leading the way to cloud. As we look forward into 2017, there is growing interest in serverless architectures and an ecosystem is developing around tooling to build, monitor and operate serverless applications.
Cloud Trends
The cloud ecosystem continues to mature, and customers are looking for staying power, as small vendors and small clouds from some big vendors fade away and close down. The ability to support and migrate enterprise workloads is critical for winning the biggest new cloud deals. Extremely scalable cloud capacity is critical to provide room for the largest web scale customers to keep growing. In 2014 we saw many enterprises sign up for AWS, start proof of concept tests and launch green-field applications. In 2015 larger scale migrations started, and plans were made for entire datacenters to be replaced by public cloud accounts. In 2016 these changes moved from early adopter markets such as media and retail, and started to take root in finance, as banks, insurance companies and their regulators figured out how to run and audit public cloud applications. Next up: early adopters in the energy, transport, government, manufacturing and healthcare markets are leading the way to cloud. As we look forward into 2017, there is growing interest in serverless architectures and an ecosystem is developing around tooling to build, monitor and operate serverless applications.
Serverless Architectural Patterns and Best Practices
As serverless architectures become more popular, customers need a framework of patterns to help them identify how they can leverage AWS to deploy their workloads without managing servers or operating systems. This session describes reusable serverless patterns while considering costs. For each pattern, we provide operational and security best practices and discuss potential pitfalls and nuances. We also discuss the considerations for moving an existing server-based workload to a serverless architecture. The patterns use services like AWS Lambda, Amazon API Gateway, Amazon Kinesis Streams, Amazon Kinesis Analytics, Amazon DynamoDB, Amazon S3, AWS Step Functions, AWS Config, AWS X-Ray, and Amazon Athena. This session can help you recognize candidates for serverless architectures in your own organizations and understand areas of potential savings and increased agility. **Prerequisite attendee experience:** advanced
Thinking Serverless: From User Request to Serverless Solution
Serverless is more than just AWS Lambda — it’s about learning to use a range of different services and techniques to solve a customer problem. How do you approach building a solution with a serverless mindset? In this session, learn how to tackle a business problem from a customer perspective by breaking down the needs into serverless building blocks that work together. This talk presents live use-cases with incremental features to show the power of distributed systems design and event-based architecture. You'll see how you can quickly develop models for building serverless applications, and increasing your development velocity for building software features.
