Document like the Spring team using Asciidoctor

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In 2013, Spring team decided to migrate all Starting Guides to Asciidoctor.In fact, all Spring projects now author their reference documentation in Asciidoctor. The Spring team made this change because Asciidoctor provides the semantic richness of DocBook with the collaborative features of a lightweight markup language. As a result, they are able to write faster, improve collaboration, drastically reduce maintenance costs and drop the barrier to contribution. Come to this session to learn why Asciidoctor has changed the way of writing documentation and how you as developer can benefit.

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

Document like the Spring team using Asciidoctor

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Probably you are curious about this thing called Reactive Programming. Reactive Programming is another programming paradigm that in most of the cases, we are not used to coding in our day-to-day work, as the imperative way is the common one. This makes learning and thinking in a reactive way harder. One of the main problems I have found when learning and reading material about Reactive Programming is that they never tackle enterprise use cases. In this session, we are going to skip the cute ideas that are normally part of a reactive programming talk and focus on how to use it in the real world. Don't be the last developer to board this train and move your reactive skills from novice to expert.

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DevOps has grown in popularity in recent years, particularly in (software) companies that want to reduce lead time to be measured in days/weeks instead of months/years. If you want to make sure your software does the right things and does things right, you need to test it implacably. The big problem is that companies see is the testing phase as the bottleneck—and it is—of the process slowing down product release. To change that, we need a new way of testing our applications, making the release process of an application a testing process as well and involving the QA from the beginning within the team. QAs are not a separate team anymore (DevTestOps). How is the testing pyramid affected? In this session, we will not only describe, but actively demonstrate several techniques that you can use immediately to start testing in production and speed up your release cycle to unimaginable limits.

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Java was born in the mid-90s, the era of TLC and Boyz II Men, long before the rise of Linux server virtualization and the Linux container. We took great pride in running Java applications for weeks if not months without restarts and Java assumed the whole computer belonged to itself, that it could consume all available memory and CPU. In this presentation, we will demonstrate the problems associated using Java for "microservices", and how the open source ecosystem is working to insure the future of Java by being cloud first, container native, serverless focused and Kubernetes optimized. This is where GraalVM meets Quarkus, bringing server-side and enterprise-capable Java to enable you to build truly cloud native apps

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ou joined the DevOps movement and want to release software even faster and safer. You started reading about Advanced deployment techniques like Blue-Green Deployment, Canary Releases or Dark Shadow Technique. But how do you implement them without disrupting your users in production? With Zero Downtime! This is easy with your code, but what about ephemeral and persistent states? Most of the examples out there does not tackle this scenario (which is the most common in real systems). Come to this session and you’ll learn in a practical way how you can achieve zero downtime deployments applying advanced deployment techniques for maintaining the ephemeral and persistent state of your microservice application.

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As we start to go toward cloud-native infrastructure and build our applications out of microservices, we must fully face the drawbacks and challenges to doing so. Some of these challenges include how to consistently monitor and collect statistics, tracing, and another telemetry, how to add resiliency in the face of unexpected failure, how to do powerful feature routing (ie feature graduation, tap compare ) and much more like securing your services correctly. Service mesh, in general, helps developers solve this in a non-invasive way. In this session, we'll show how you can take advantage of these capabilities and show you some patterns that you can implement easily with a service mesh to make your delivery to production smoothly and without surprises. We expect most developers haven't adequately solved for these issues, so we'll take it step by step and build up a strong understanding of Istio and its patterns, harness its power in your production services architecture.

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In a cloud native world enamored of Microservices and Serverless, meet Quarkus - Java’s brilliant response to technologies like Node.js, Python and Go that had until recently proven quicker, smaller and arguably more nimble. But we know seeing is believing - we’ll show you Quarkus in action. Get ready to experience “Supersonic, Subatomic Java” - and make Open Source frameworks like Hibernate and Apache Camel faster, smaller and more dynamically scalable than ever before. About the speaker: Alex Soto is a Software Engineer at Red Hat in Developers group, the creator of NoSQLUnit project, member of JSR374 (Java API for JSON Processing) Expert Group. A Java Champion since 2017 and international speaker.

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Microservices architecture has changed how companies develop and deploy applications. This change has affected testing process as well. New techniques have emerged and others have been enhanced. Come to this session to learn about service virtualization, contract testing or testing in production to increase deployment velocity from 1 week to N times per day or deploy each service independently without worrying about breaking the compatibility between services anymore.

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There's been a lot of movement in the Java EE world. From the release of its 8th edition to the shift to Eclipse Foundation and recent rebranding to Jakarta EE. At the same time Eclipse MicroProfile shown up on the EE scene with the primary goal of evolving the spec towards microservice architectures. With all these changes happening rapidly what has happened to Arquillian, the de-facto testing tool for Java EE applications? Come to this session, you are going to explore the new and noteworthy of the Arquillian constellation. How standard Arquillian tests has been simplified as well as how microservice architecture has impacted on Arquillian offering integrations for polyglot persistence tests, contract testing or deployment tests for Docker, Kubernetes, and Openshift. You'll learn that Arquillian is not only for Java EE.

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One of the most important benefits of automated testing is to ensure a fast and safe code refactoring to evolve our system architecture. The main problem is how to write tests that are easy to write, easy to follow and not time consuming during development nor execution time. In this session, we are going to explore some powerful Java testing libraries that will help you write better (unit) tests focusing on the main Unicorns architecture challenges such as validating microservices endpoints, remote calls to other microservices or just asynchronous/reactive code.

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Transcript: Selling digital books in 2024: Insights from industry leaders - T...

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

UiPath Test Automation using UiPath Test Suite series, part 1

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Exploring UiPath Orchestrator API: updates and limits in 2024 🚀

Exploring UiPath Orchestrator API: updates and limits in 2024 🚀

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

Essentials of Automations: Optimizing FME Workflows with Parameters

НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»

НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»

НАДІЯ ФЕДЮШКО БАЦ «Професійне зростання QA спеціаліста»