Building Progressive Web Apps (Kyle Buchanan)

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With the recent advancements in modern browsers, more native app-like features are coming to the browser. Things like push notifications, background sync, offline capabilities and home screen app icons have been added to browsers allowing developers to continue building web apps, but now include features that users expect from native apps. In this session we'll take an existing web app and transform it into a progressive web app. We’ll learn how to make the web app installable, how to make it work offline and finally we’ll learn how to add push notifications to re-engage our users.

Logiciels

Building Progressive Web Apps
Kyle Buchanan

About Me
Kyle Buchanan
Senior Software Engineer at Red Hat
10+ Years of Front-End Development
Excited and frustrated at the same time

What is a Progressive Web App?
Progressive Web Applications take advantage of new
technologies to bring the best of mobile sites and native
applications to users. They're reliable, fast, and engaging.
Source: https://developers.google.com/web/progressive-web-apps/

Aren’t we already building
progressive web apps?

Principles of a Progressive Web App
• Fast
• Secure
• Responsive
Source: https://developers.google.com/web/progressive-web-apps/

Principles of a Progressive Web App
• Fast
• Secure
• Responsive
• Add to Home Screen
• Instant Loading
• Push Notiﬁcations
Source: https://developers.google.com/web/progressive-web-apps/

Our Goal
• Installable!
• Works Ofﬂine!
• Receives Push Notiﬁcations!

Service Worker
• Create ofﬂine experiences
• Intercept network requests
• Cache
• Push notiﬁcations
• Background sync
Source: https://developer.mozilla.org/en-US/docs/Web/API/Service_Worker_API

Responding to Fetch Events
• Cache only
• Network only
• Cache, falling back to network
• Cache and network race
• Network falling back to cache
• Cache then network

Steps for Receiving Push Notiﬁcations
1. Register service worker
2. Get reference to subscription manager
3. Subscribe to get endpoint
4. Send endpoint to backend
5. Listen for push notiﬁcations in service worker
6. Show notiﬁcation when push event is received
7. Respond to notiﬁcation click

Subscribe to push notiﬁcations
Send that to your server

Caching / ofﬂine strategy
Push notiﬁcations
Handle notiﬁcation click

All we really did…
• manifest.json
• Service Worker

https://github.com/GoogleChrome/lighthouse

https://developers.google.com/web/#progressive-web-apps

https://pwa.rocks
https://developers.google.com/web/progressive-web-apps

Links
Build your ﬁrst progressive web app 
https://developers.google.com/web/fundamentals/getting-started/your-ﬁrst-progressive-web-app/
Progressive Web Apps: Escaping Tabs Without Losing Our Soul 
https://infrequently.org/2015/06/progressive-apps-escaping-tabs-without-losing-our-soul/
The Ofﬂine Cookbook 
https://jakearchibald.com/2014/ofﬂine-cookbook/
Getting started with Progressive Web Apps 
https://addyosmani.com/blog/getting-started-with-progressive-web-apps/

Thank you.
kylebuch8@gmail.com
https://github.com/kylebuch8
@KyleBuchanan8

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Apache Kafka is taking the world by storm and is rapidly becoming the de-facto event bus for event-driven and streaming applications that respond to events and data in real time. OpenShift Streams for Apache Kafka is Red Hat's fully hosted and managed Apache Kafka service targeting development teams that want to incorporate streaming data and scalable messaging in their applications, without the burden of setting up and maintaining a Kafka cluster infrastructure. In this session you will discover how Apache Kafka can be used in an IoT scenario to ingest data from devices and make them available in real-time to other applications. More specifically you will learn how to: Simulate devices that send MQTT messages to a MQTT broker Use Apache Camel and Camel-K to bridge MQTT with Apache Kafka Use Kafka Streams in a Quarkus application to process the device messages Query the state of the devices using GraphQ

Kafka at the Edge: an IoT scenario with OpenShift Streams for Apache Kafka | ...

Red Hat Developers

With Kubernetes, implementing security policies can be challenging. First, developers, administrators, and security teams need to understand security policies in collaboration to have the best chance of successful adoption. Next, policy enforcement needs to integrate with developer workflows. Lastly, policies need to contain corrective action that is as close to the developer as possible. KubeLinter solves these problems by linting Kubernetes YAML files and Helm charts at the source: the developer. In this session, we will evaluate KubeLinter by moving through a hands-on demo of the application, showing a use case for local machines and CI pipeline integration, and chatting about how best to integrate it into your organization: KubeLinter, and its default checks How you can leverage the application in your day-to-day operations The open source StackRox community

Kubernetes configuration and security policies with KubeLinter | DevNation Te...

Red Hat Developers

Many modern video games are constantly evolving post-release. New maps, game modes, and game balancing adjustments are rolled out, often on a weekly basis. This continuous iteration to improve player engagement and satisfaction requires data-driven decision making based on events and telemetry captured during gameplay, and from community forums and discussions. In this session you will learn how OpenShift Streams for Apache Kafka and Kafka Streams can be used to analyze real-time events and telemetry reported by a game server, using a practical example that encourages audience participation. Specifically you’ll learn how to: Provision Kafka clusters on OpenShift Streams for Apache Kafka. Develop a Java application that uses Kafka Streams and Quarkus to process event data. Deploy the application locally, or on OpenShift and connect it to your OpenShift Streams for Apache Kafka Cluster.

Level-up your gaming telemetry using Kafka Streams | DevNation Tech Talk

Red Hat Developers

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