Introduction

Continuous development in agile environments with continuous delivery (CI / CD) of software in DevOps approaches necessarily requires continuous and agile testing. To address this challenge, it is necessary to integrate in the DevOps chains different activities related to quality assurance in the form of quality gates (tests at different levels and of different types, code analysis, performance metrics, etc.) adapted to cycles of development shorter and more frequent. The objective is twofold: on the one hand, to ensure that development contributions only go into production if they meet the established quality criteria. On the other hand, guarantee continuous and end-to-end tests on DevOps chains.

Content

Álvaro will present a pragmatic vision agile testing integration in DevOps chains, going in depth into the following contents.
1. Understand the challenge of integrating continuous quality assurance activities in DevOps chains.
2. Show two practical examples of DevOps chains with different quality gates (automated with tools such as Selenium, Sonar or JMeter), orchestrated with various solutions such as GitLab and Jenkins.
3. Explain the effect of Agile Quality Gates on the automatic deployment of applications for continuous delivery.

Outcomes

In this master class, you will learn:

• How to design a DevOps chain with integrated Quality Gates to condition the quality of development contributions.
• How to implement, through two examples, quality gates of agile testing and other automatable quality activities in a DevOps environment.

Introduction

Integration and end-to-end (e2e) tests of distributed systems, especially those deployed in container orchestrators such as Kubernetes, are much more complex to prepare than monolith application tests. In distributed applications different services must be started even for the simplest integration test, and different tools must be installed and configured, such as a browser that will be used in a UI test, or an application that allows us to extract the logs of the different services of our system.

Content

The tutorial will show the efforts required to: 1) configure the tests with distributed systems, and 2) determine the cause of the error when a fault occurs. In addition, it will be shown how these efforts can be diminished using the appropriate monitoring tools.
In this master class, we will begin by explaining how to configure the e2e tests on a Docker-based application using Jenkins. We will visit the life cycle of the testing process: start the application, run the tests, collect logs and metrics for the application and analyse the results.
Next, how to use monitoring tools such as ElasticSearch in the context of testing will be introduced. These tools combined with the appropriate dashboards allow us to take a look at what happened in the application during the test.
Finally, we will see how to use more specific tools to find out the cause of an error when the tests fail. These more specific tools, unlike the previous ones, understand the concept of tests and their scope so they are able to collect the relevant data during the process of executing the tests.

Outcomes

In this master class, you will learn:

Participants will learn how to focus the automation of distributed cloud containerized application tests, as well as the use of tools to obtain maximum information during the execution of the tests.

Target Audience

Testers, QA managers, agile teams that implement the DevOps culture.

Introduction

IoTesting is the new wave in IT, It's not the future, It's now. When you use an IoT device you don''t want to find a bug. If you have a bug, your customer will not use your device for a long time and tell to his friends: this device doesn't work fine.
IoT is not only about user experience, is about new leads for your business and your partners. So QA IoT is an important field in this new wave.
Manufacturers adopting IoT and orchestrating analytics, BI, quality management, mobile technologies and the many benefits of real-time monitoring using IoT sensors will grow faster than the market, out-innovating their competitors in the process.

Content

In this masterclass, Iván will show the challenges of QA in IoT. A new scenario, new rules. Performance testing is necessary? Mobile testing? Working with several types of devices. How can we validate data? Devices and emulators. Next step IA? We need to understand the new situation. Are you a pioneer?

Outcomes

In this master class, you will learn:

• Understand the IoT environment.
• Define a testing strategy in IoT.
• Implement a POC in order to validate the strategy.
• The new rol: full stack QA

Target Audience

Testers, QA Analyst, QA Managers with experience and basics technological skills.

Introduction

Chaos engineering is used in distributed systems to be able to comprehensively test the entire application simulating error conditions within the system and observe how it responds to these impulse.

Content

In this master class, Alex will introduce us the principles of chaos engineering and how to perform it in a microservice architecture deployed in a Kubernetes cluster. You will learn how to perform chaos engineering experiments, and how to use the results obtained to create more fault-tolerant applications.
Alex will also teach us several open source technologies to perform chaos engineering such as Istio, Chaos Toolkit, Pumba or PowerfulSeal.

Outcomes

In this master class, you will learn:

• Why it is important chaos engineering nowadays.
• How to plan correctly a chaos experiment.
• How to execute a chaos experiment in a safe way.
• Different tools to execute chaos engineering in Kubernetes.

Target Audience

This talk is for developers, testers, and teams who have adopted DevOps practices and wants to start doing chaos engineering to validate that his solution is fully resilient on the production environment.

Introduction

The world of Artificial Intelligence, and especially Machine Learning, is experiencing its best moment in terms of growth and adoption, and this is leading to that a large part of the services that are developed include some type of functionality based on techniques of this field. Due in part to the ignorance and mysticism generated by these techniques, the quality processes necessary to guarantee the correct functioning of Machine Learning based services are often overlooked.
One of the biggest challenges facing the Artificial Intelligence paradigm when it comes to achieving a state of adequate maturity in production environments, is to achieve a process that guarantees sufficient quality levels on the result of the generation of a model.

Content

José Antonio Perdiguero will teach how to use testing in a Machine Learning model within the continuous integration cycle, guaranteeing quality thresholds on not only the service, but also the model itself. It will also provide insight on the process of generating a model and how it could fit the validation of it within a BDD process, using Gauge as a test framework.
During the master class, José Antonio will present a series of theoretical concepts as an introduction on Artificial Intelligence and Machine Learning.
After that some different tools will be introduced, then with those tools a fully functional service will be built:

• Python: the chosen programming language
• Gauge: a multi-language testing framework with which BDD tests will be designed and implemented
• Flama: a framework for API development
• TensorFlow: a framework for the construction of Machine Learning models

Outcomes

In this master class, you will learn:

• What is Artificial Intelligence and Machine Learning
• What is the generation and training of a Machine Learning model
• How services are built based on these models
• How you can test such a service, and how you can test the model itself
• One way to fit all this into a full flow of Continuous Integration

Target Audience

Testers and developers interested in entering Machine Learning. Teams interested in how to improve the quality of service deployments that include Machine Learning.

Introduction

Choosing a Framework to automate tests is always difficult. Tons of hours / euros are used to find existing tools, value them and try to integrate them with the solutions of each product. The result is usually disuse due to poor flexibility, complexity or lack of support.

Content

In this master class, Francisco will show the option of creating a customized and adapted Framework. Without being very expensive, with a couple of good ideas and some previous experience we will see that you can build a Framework that facilitates the creation of all types of Automatic Testing (UI, APIs, Performance, etc.), data generation, maintenance of these tests and the report of results.

Outcomes

In this master class, you will learn:

• The ideal architecture of an Automation Framework.
• The steps to create a framework its typical components.
• What are the goals and challenges we will face.

Target Audience

Technical QA, QA Automation Engineers, SDETs, Developers, QA Architects

Introduction

Virtual assistants have flooded international markets and they have embarked in Spain in less than a year. More and more companies design and develop this type of applications or skills, but mostly it is a craft where it is not clear that you must test and / or consider deploying them or that the user feels comfortable using them.

Content

In this master class, Jesus will analyse what we must consider so that Amazon and Google do not censor us for the user experience and / or for not controlling types of exceptions and people interactions. In addition, we will also review some concepts that we must consider at the QA level, so that our user does not have a bad experience.

Outcomes

In this master class, you will learn:

• UX concept improvement with voice assistants
• QA tests knowledge that we must overcome
• Difference between Chatbot and voice assistant

Target Audience

UX professionals who want to start with Skills test design, business persons and QA

Introduction

Nowadays, software security is a concept that we all know of its importance due to the great impact that one or several vulnerable parts can allow the entry of people not allowed into our business, but we have no record of all the aspects that must be considered to ensure our product at such high levels that allow us to live without thinking about the possibility of including an attacker.

Content

In this master class, Rodrigo will introduce the concept of SecDevOps equipment that currently is heard so much and understand its importance by being included in agile processes.

Outcomes

In this master class, you will learn:

• The basics of security testing
• Apply security in the different components of a product and its construction platform
• Apply security in the different phases of the life cycle of a product

Target Audience

Developers, DevOps, Product Owners, Managers, Scrum Masters