Developer Meet Designer (Andres Galante & Brian Leathem)

•

1 like•1,701 views

Red Hat Developers

This presentation will take developers behind the scenes of the Keynote Demo to showcase how designers and a developers work together to achieve outstanding results. In this presentation, we'll identify the gap between designers and developers, and walk you through an actual example of how to build bridges that increase trust in your products. You'll learn about: - UX basics - Design within open source communities - Understanding the problems between developers and designers - The advantages (and disadvantages) of working with a designer - Coping with common pitfalls and false assumptions - Specific CSS and JS techniques used during the Keynote demo visualization You'll leave knowing that UX goes beyond the UI, with a better understanding of why working with a designer is important, and how to work together successfully.

Developer Meet Designer
Apple ad image

Developer
Brian Leathem
@brianleathem
Vancouver
Designer
Andrés Galante
@andresgalante
Buenos Aires

Bridge image
Developers
Designers

Santiago Calatrava

“bridging the division between
structural engineering and
architecture”

Santiago Calatrava

Frank Gehry

Frank Lloyd wright

Le Corbusier

Mies van der rohe

Antonio Gaudí

Renzo Pianno

http://www.thetoptens.com/worst-things-could-happen-life/

83% of accuracy

!=Developers Designers

Make shit works

– Mr. Hoytt Summers Pittman (the third)
“You make our shit look less shitty!
In fact it actually looks good!”

Elevator number

Help users achieve
their goals.

“Most people make the mistake of
thinking design is what it looks like. That’s
not what we think design is.
It’s not just what it looks like and feels
like. Design is how it works.”
– Steve jobs

DEVs slide

Help users achieve
their goals.

UXDevelopers Designers

1. Trust, respect and communicate
2. Understand the user goals
3. Meet in the middle

1. Trust, respect and communicate

Brian
CLI Tool
The rest of us

COMMUNICATION

2. Understand the user goals

User Stories

As a <type of user>,
I want <some goal>
so that <some reason>.

Trevor
The truck driver
Daisey
The dispatcher

Enterprise IT guy

3. Meet in the middle

1. Trust, respect and communicate
2. Understand the user goals
3. Meet in the middle

Story Time

1. Trust, respect and communicate
2. Understand the user goals
3. Meet in the middle

1. Trust, respect and communicate

2. Understand the user goals

As a <type of user>,
I want <some goal>
so that <some reason>.

3. Meet in the middle

Demo

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This talk will teach you how to redesign an event-driven autoscaling architecture for cloud-native microservices by utilizing Apache Kafka, Knative, and KEDA infrastructure. You will also learn how to deploy serverless applications (Quarkus) using a Knative service. Finally, KEDA will enable you to autoscale Knative Eventing components (KafkaSource) through events consumption over standard resources (CPU, memory).

Event-driven autoscaling through KEDA and Knative Integration | DevNation Tec...

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Loom is among the most highly anticipated projects in the Java world. It promises to address concurrency and Java execution model issues by providing virtual threads. Thus, there is no need to write concurrent programs using asynchronous or reactive APIs; it will be possible to use the traditional imperative model and let Loom handle the rest. The JVM will execute the program and leverage non-blocking APIs automatically! Sounds good, doesn't it? How does it work, though? Are there any hidden costs? What is Loom going to change in modern Java frameworks? We will answer these questions in this talk. Starting with the integration of Loom in Quarkus, we will compare the different approaches we considered, discuss their respective pros and cons, and show how Loom might change the Java world.

Integrating Loom in Quarkus | DevNation Tech Talk

Integrating Loom in Quarkus | DevNation Tech Talk

Integrating Loom in Quarkus | DevNation Tech Talk

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Quarkus Renarde 🦊♥ is a new Web framework based on Quarkus. This framework focuses not on microservices but web applications and makes Quarkus even easier to use for web apps: - Endpoints based on convention, even easier than RESTEasy Reactive and JAX-RS - Server-side templating with Qute - Validation with Hibernate Validation - Data with Hibernate ORM or Reactive with Panache - Simple authentication with OpenID Connect or WebAuthn Quarkus Renarde 🦊♥ can deliver all this while still providing the joy of developing with Quarkus, with live reload, continuous testing, the Dev, and more.

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Recent changes in one desktop product generated many doubts in developer communities regarding containers. Can we still use or create them? Do we have alternatives to docker? We have some answers! Join us in this session to learn more about some popular docker alternatives. You can create containers without docker, and you can also run and publish them. There's life after docker, and containers are here to stay.

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Hybrid-cloud and multi-cloud patterns are the next application deployment architectures, and Kubernetes is the de facto container orchestration engine. 50% of production Kubernetes workloads involve some form of microservices applications. How can we manage this inter-cluster application connectivity? Meet Skupper: an open-source project that solves multi-cloud communication for Kubernetes. In this Tech Talk, you will briefly learn about Skupper and watch a live demo of an e-commerce application with 10 microservices spanning three OpenShift clusters running on three different public cloud providers.

Distributed deployment of microservices across multiple OpenShift clusters | ...

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In this workshop, you’ll learn an easy way to incorporate data science and AI/ML into an OpenShift development workflow. As an example, you’ll use an object detection model to detect ‘dog(s)’ in an image. You will: Use Jupyter Notebooks and TensorFlow to explore a pre-trained object detection model Serve the model in a REST API as a Flask App Use Source-to-Image (S2I) to build and deploy the Flask app Explore Kafka streams from Notebooks Deploy a Kafka consumer with the same object detection model You’ll be able to do all of this without having to install anything on your own computer, thanks to Red Hat OpenShift Data Science and Red Hat OpenShift Streams for Apache Kafka. Note: Beginner data handling and Python skills are required for this workshop.

DevNation Workshop: Object detection with Red Hat OpenShift Data Science [Mar...

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DevOps solved the conflict between development and operations, but other essential aspects of the delivery lifecycle—security, compliance, and audit—were left out. DevSecOps is an excellent reminder that security must be DevOps’d, but compliance and audit are still missing. There’s no need for a new DevSecAuditComplianceOps buzzword; instead, let’s talk about continuous authorization, which applies Zero Trust principles to continuous monitoring. In this tech talk, Bill Bensing will discuss practical ways to start with continuous authorization for the software delivery lifecycle using Ploigos.

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A Microservices approach with Cassandra and Quarkus | DevNation Tech Talk

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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

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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.

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56. 1. Trust, respect and communicate 2. Understand the user goals 3. Meet in the middle

58.

59.

60.

61. 1. Trust, respect and communicate 2. Understand the user goals 3. Meet in the middle

62. 1. Trust, respect and communicate

63. 2. Understand the user goals

64. As a <type of user>, I want <some goal> so that <some reason>.

65. 3. Meet in the middle

66.