In this post we’ll be setting up Amazon Web Services (AWS) to handle the delivery of push notifications to the Apple Push Notification Service (APNS) and eventually to your users. In order to use AWS to push notifications to your users devices you’ll configure three different AWS Services; Cognito, Identity and Access Management (IAM), and … Read More
At the time of this writing the main AWS landing page lists twenty product categories, under which is an overwhelming number of resources to be deployed and configured. All resources can be created and configured via the collection of AWS consoles (the web UIs) and while this is probably the simplest option it does not … Read More
Alexa’s so smart, she learns more every day. (That’s what Amazon tells me, anyway.) So I’m going to pick her brain a little, and see if she can tell me anything about AWS. Maybe she knows how to write Alexa apps, or even regular REST & JavaScript apps — apps that run entirely in AWS. … Read More
Abstract From client-side apps to development tools like Webpack and servers written with NodeJS, to AWS lambdas and more, JavaScript is everywhere. Ken will make the case for becoming a JavaScript pro and explain areas you need to focus on. View Screencast View the code from Single Page Application Day on GitHub Presentation
The Amazon Web Services SDK for Go 2.0 contains a number of enhancements compared to Go v1. Golang is a great programming language for modern cloud native applications. The language provides great facilities for better concurrency, internet content parsing (JSON, XML, etc…), support for HTTP(S), ease of cross-platform compilation, and static binary executable generation, just … Read More
Alexa’s so smart, she learns more every day. (That’s what Amazon tells me, anyway.) So I’m going to pick her brain a little, and see if she can tell me anything about AWS. Maybe she knows how to write Alexa apps, or even regular REST & JavaScript apps — apps that run entirely in AWS. … Read More
One of the guiding principles of the Convox project is that you should always consume a service rather than running custom software. This talk will focus on how we use this approach to build Convox, the motivations behind it, and why you should delegate the bulk of your technology burden to focus on the things … Read More
Apps no longer just run on smartphones and tablets – they process verbal commands we speak to devices like Amazon Echo, run as bots in Slack channels, and are rapidly evolving customer experiences that span a range of IoT devices in homes, cars, offices, and industrial settings. Crucial to the success of all these ecosystems is one central idea: Code has to not just run in the cloud, it has to be easy to get it there and scale it there. Serverless computing – calling AWS Lambda functions instead of managing heavyweight applications on infrastructure – is changing how developers think about backends, event-driving processing, and application design. Infrastructure, deployment, and software platform setup that used to take days or weeks of time vanishes, replaced by microservices that do one thing well, require zero effort to deploy, and scale automatically and implicitly just by using them. At the same time, AWS Lambda and other serverless systems have redefined cloud economics by eliminating the possibility of cold servers, creating a radical new price point for applications running in the cloud and freeing developers and COO’s alike from worrying about paying for unused capacity. In this talk we’ll define Serverless computing, examine the key trends and innovative ideas behind the technology, and look in detail at design patterns for big data, event processing, mobile backends, and more using AWS Lambda.
In this talk we’ll define Serverless computing, examine the key trends and innovative ideas behind the technology, and look in detail at design patterns for big data, event processing, mobile backends, and more using AWS Lambda.
In this talk we will talk about the design of Netflix’s Mesos framework and the scheduler. We will focus on the following aspects of the scheduler – Bin packing algorithms, scaling in and out of clusters, fault tolerance of processes via reconciliation and processing life cycle events, multi-geography/cross data center redundancy.
