For most of us, Reactive Android means using RxJava. In this presentation, I try to borrow a few ideas from the backend world and enrich the concept of Reactive in Android.
The document discusses Reactive programming concepts using RxJava. It defines key RxJava terms like Observable and Observer. An Observable is the source of events, while an Observer handles incoming events. It also covers how to create Observables from sources like arrays, intervals, and network calls. Operators like filter, map, take, and defaultIfEmpty are demonstrated for transforming Observables.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at GDG DevFest The Netherlands 2016.
Reactive Programming on Android - RxAndroid - RxJavaAli Muzaffar
Introduction to RxJava for reactive programming and how to use RxAndroid to do reactive programming on Android.
There is a sample android app to go with the slides that has all the source shown in the project.
The Mayans Lost Guide to RxJava on AndroidFernando Cejas
This document provides an introduction and overview of RxJava. Some key points:
- RxJava is a library for composing asynchronous and event-based programs using observable sequences. It implements Reactive Extensions (ReactiveX) for the Java VM.
- Using RxJava can help address issues with concurrency, callbacks, and composing asynchronous operations in Java. It promotes a reactive style of programming.
- The core abstractions in RxJava are Observables (which emit notifications), Subscribers (which receive notifications), and Operators (which allow transformation and manipulation of observable sequences).
- Examples are provided of how to use RxJava with Clean Architecture, including reactive presenters, use cases that
Using RxJava on Android platforms provides benefits like making asynchronous code more manageable, but requires changing how developers think about programming. Key concepts include Observables that emit items, Observer subscribers, and combining/transforming data streams. For Android, RxJava and RxAndroid libraries are used, with RxAndroid mainly providing threading helpers. Effective practices include proper subscription management and error handling to avoid issues from asynchronous execution and component lifecycles.
An exploration into RxJava on Android for the experienced, yet uninitiated software engineer. This presentation explores Declarative vs Imperative programming paradigms and expands the discussion into Functional Reactive Programming. It explains the benefits of the observer contract, high-order functions, and schedulers available in RxJava. It also explains the purpose of the Android integration libraries: RxAndroid, RxLifecycle, and RxBindings.
A presentation given to Overstock.com IT at annual conference. Twitter @TECHknO 2015. Goal of the presentation is to provide a good introduction to the reactive programming model with RxJava.
Streams, Streams Everywhere! An Introduction to RxAndrzej Sitek
Nowadays users expect real time data - tweets, messages, order confirmations etc. - the user's attitude moved to the “push" model and it is high time for us devs to make that step as well.
Reactive Extensions (Rx) is the new hot stuff amongst developers these days. It is a library for composing asynchronous and event-based programs by using observable sequences. Sounds nice?
The only problem is that it can be a bit difficult to approach initially, especially when you come from an imperative world, but once mastered it helps dealing with some common problems in a nicer and cleaner way making your code more readable and easier to maintain.
Multiple implementations of Reactive Extensions helps reusing once learnt concepts between different programming languages. The aim of this talk is to provide a quick introduction to Rx theory and potential usecases. The examples are based on RxJava - the Java VM implementation of Reactive Extensions.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It avoids "callback hell" and supports streaming for performance benefits. While RxJava has a learning curve, it is important to start with streams, learn hot vs cold observables, always subscribe, and address issues like empty results. RxJava works best when subscribe code is separated and POJAM code is still used where possible. Its future looks promising with adoption in Android, JavaScript and Spring 5.
This document discusses RxJava, a library for composing asynchronous and event-based programs in Java. It introduces Observables as the core abstraction in RxJava, which are sequences that emit elements to observers. Operators like filter, map, and flatMap allow modifying and transforming Observables. As an example, it shows how to use RxJava to concurrently search for articles by ID, load each article, fetch like counts, and combine the results into a stream of articles. This is done by chaining flatMap operators to transform the stream of IDs into a stream of articles by asynchronously loading each part in parallel.
This document provides an introduction to Retrofit and RxJava. It discusses:
1. How Retrofit turns REST APIs into Java interfaces and handles JSON conversion.
2. What RxJava is and how it allows for composing asynchronous and event-based programs using observable sequences.
3. Examples of making HTTP requests with Retrofit, including defining services, making synchronous and asynchronous requests, and using callbacks and RxJava.
4. Key RxJava concepts like Observables, operators like map, flatMap, and zip, and threading.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
Lecture on Reactive programming on Android, mDevCamp 2016.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Intro to RxJava/RxAndroid - GDG Munich AndroidEgor Andreevich
This document introduces RxJava and RxAndroid. It explains that RxJava allows for composing asynchronous and event-based programs using observable sequences. It covers how to create Observables, subscribe to them, use operators to transform data, and handle threading. It also discusses how RxJava is useful for Android development by making asynchronous code easier to write, test, and handle threading, with libraries like RxAndroid, RxBinding, and RxLifecycle to integrate with Android components and lifecycles.
The document introduces RxJava and how it can be used in Android applications, describing key concepts like Observables, Observers, Operators, and Subjects that allow asynchronous and event-based code to be written in a reactive style. It provides examples of how RxJava can be used to fetch toilet data from an API and handle the asynchronous response more declaratively compared to using callbacks. The document also discusses how subjects can act as both observables that emit events and observers that receive events, making them useful for building event buses between activities.
This document provides an overview of RxAndroid and RxJava. It discusses key concepts like Observables that emit items, Subscribers that receive emitted items and complete/error notifications, and Operators like map that transform Observables. It shows how to create a simple Observable, subscribe to it, and use operators like map. It also demonstrates integrating Rx with Android by observing button clicks and updating UI, merging multiple Observables, and using scan to increment a counter and calculate a running sum from emitted values.
RxJava 2.0 has been completely rewritten from scratch to conform to the Reactive Streams specification. This provides a common baseline for reactive systems and libraries. RxJava 2.0 introduces the Flowable source in addition to Observable to support backpressure, or flow control of the data stream. Flowable is appropriate when the source can support backpressure, while Observable is used when the source cannot apply backpressure. The document also discusses other specialized sources like Single, Completable and Maybe that return defined subsets of possible events.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
RxJava makes dealing with concurrency and asynchronous operations easier by allowing data streams to be combined, transformed, filtered and mapped. It encourages defensive programming and simplifies error handling. RxJava represents asynchronous data streams and allows these streams to be composed through the use of operators. Observables emit items to observers, and operators allow transforming the streams by mapping, filtering, debouncing etc. This introduces a more functional reactive approach to programming with asynchronous data.
RxJava is a library for composing asynchronous and event-based programs using observable sequences for the Java VM. It provides APIs for asynchronous programming with observable streams. Reactive Extensions (Rx) is a library that supports reactive programming with observable streams in many languages. Netflix adopted RxJava to address issues with its legacy API and improve performance of its services. RxJava uses Observables to build responsive and resilient applications in a reactive style.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows avoiding callback hell and makes it easy to compose and transform asynchronous processes through combining, filtering, etc. RxJava uses Observables to represent asynchronous data streams and allows subscribing to those streams using Observers. It supports asynchronous operations through Schedulers and can integrate with libraries like Retrofit to handle asynchronous network requests in a reactive way. Learning the RxJava concepts and operators takes some time but it provides many benefits for managing asynchronous code in a declarative way.
This document contains the slides from a presentation on RxJava in practice given by Javier Gamarra in Madrid on November 27-28, 2015. The presentation introduces RxJava as a library for representing operations as asynchronous data streams that can be composed declaratively and consumed by multiple objects. It discusses key RxJava concepts like Observables, Subscribers, operators, and schedulers, and provides examples of using RxJava for Android development. The presentation also addresses common questions around RxJava and encourages attendees to ask additional questions.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
This document discusses using RxJava to handle asynchronous and concurrent processes. It provides an example of using RxJava to stream tweets from Twitter APIs, retrieve user profiles concurrently, and find the most popular tweet by a user. Key strengths of RxJava highlighted are that it is functional, reactive, allows controlling execution threads, and is easy to compose and integrate workflows. Some pitfalls mentioned are that the API is large, it can be hard to debug, and back pressure must be managed.
RxJava is an open source library for reactive programming that allows processing asynchronous streams of data. It provides operators to filter, transform, and combine Observables in a lazy manner. Observables represent asynchronous data streams that can be subscribed to receive push-based event notifications. Services return Observables to make their APIs asynchronous and reactive.
Reactive programming using rx java & akka actors - pdx-scala - june 2014Thomas Lockney
Reactive programming is an event-driven paradigm focused on data flow and treating code as a set of behaviors in response to events. RxJava is a library that uses observable sequences to compose asynchronous and event-based programs in a reactive style. It provides operators like map, flatMap, and filter to transform streams of events. Akka implements the actor model with actors that react to immutable messages in isolation through message passing. Both RxJava and Akka support reactive principles like scalability, resilience and responsiveness but require additional work.
The word "Reactive" can be confusing. As the founder of the Reactive Amsterdam meetup, I can tell there are two main topics here: Functional Reactive Programming (here with reference to Android) and "Reactive" in the sense of the Reactive Manifesto.
Mary Grygleski and myself, gave a very successful workshop to 51 attendees in NYC on April 15th - here is the updated presentation
https://www.linkedin.com/in/mary-grygleski/
https://www.linkedin.com/in/grant-steinfeld/
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It avoids "callback hell" and supports streaming for performance benefits. While RxJava has a learning curve, it is important to start with streams, learn hot vs cold observables, always subscribe, and address issues like empty results. RxJava works best when subscribe code is separated and POJAM code is still used where possible. Its future looks promising with adoption in Android, JavaScript and Spring 5.
This document discusses RxJava, a library for composing asynchronous and event-based programs in Java. It introduces Observables as the core abstraction in RxJava, which are sequences that emit elements to observers. Operators like filter, map, and flatMap allow modifying and transforming Observables. As an example, it shows how to use RxJava to concurrently search for articles by ID, load each article, fetch like counts, and combine the results into a stream of articles. This is done by chaining flatMap operators to transform the stream of IDs into a stream of articles by asynchronously loading each part in parallel.
This document provides an introduction to Retrofit and RxJava. It discusses:
1. How Retrofit turns REST APIs into Java interfaces and handles JSON conversion.
2. What RxJava is and how it allows for composing asynchronous and event-based programs using observable sequences.
3. Examples of making HTTP requests with Retrofit, including defining services, making synchronous and asynchronous requests, and using callbacks and RxJava.
4. Key RxJava concepts like Observables, operators like map, flatMap, and zip, and threading.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
Lecture on Reactive programming on Android, mDevCamp 2016.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Intro to RxJava/RxAndroid - GDG Munich AndroidEgor Andreevich
This document introduces RxJava and RxAndroid. It explains that RxJava allows for composing asynchronous and event-based programs using observable sequences. It covers how to create Observables, subscribe to them, use operators to transform data, and handle threading. It also discusses how RxJava is useful for Android development by making asynchronous code easier to write, test, and handle threading, with libraries like RxAndroid, RxBinding, and RxLifecycle to integrate with Android components and lifecycles.
The document introduces RxJava and how it can be used in Android applications, describing key concepts like Observables, Observers, Operators, and Subjects that allow asynchronous and event-based code to be written in a reactive style. It provides examples of how RxJava can be used to fetch toilet data from an API and handle the asynchronous response more declaratively compared to using callbacks. The document also discusses how subjects can act as both observables that emit events and observers that receive events, making them useful for building event buses between activities.
This document provides an overview of RxAndroid and RxJava. It discusses key concepts like Observables that emit items, Subscribers that receive emitted items and complete/error notifications, and Operators like map that transform Observables. It shows how to create a simple Observable, subscribe to it, and use operators like map. It also demonstrates integrating Rx with Android by observing button clicks and updating UI, merging multiple Observables, and using scan to increment a counter and calculate a running sum from emitted values.
RxJava 2.0 has been completely rewritten from scratch to conform to the Reactive Streams specification. This provides a common baseline for reactive systems and libraries. RxJava 2.0 introduces the Flowable source in addition to Observable to support backpressure, or flow control of the data stream. Flowable is appropriate when the source can support backpressure, while Observable is used when the source cannot apply backpressure. The document also discusses other specialized sources like Single, Completable and Maybe that return defined subsets of possible events.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It provides APIs for asynchronous programming with observable streams and the ability to chain operations and transformations on these streams using reactive extensions. The basic building blocks are Observables, which emit items, and Subscribers, which consume those items. Operators allow filtering, transforming, and combining Observable streams. RxJava helps address problems with threading and asynchronous operations in Android by providing tools to manage execution contexts and avoid callback hell.
RxJava makes dealing with concurrency and asynchronous operations easier by allowing data streams to be combined, transformed, filtered and mapped. It encourages defensive programming and simplifies error handling. RxJava represents asynchronous data streams and allows these streams to be composed through the use of operators. Observables emit items to observers, and operators allow transforming the streams by mapping, filtering, debouncing etc. This introduces a more functional reactive approach to programming with asynchronous data.
RxJava is a library for composing asynchronous and event-based programs using observable sequences for the Java VM. It provides APIs for asynchronous programming with observable streams. Reactive Extensions (Rx) is a library that supports reactive programming with observable streams in many languages. Netflix adopted RxJava to address issues with its legacy API and improve performance of its services. RxJava uses Observables to build responsive and resilient applications in a reactive style.
The document discusses reactive programming concepts using RxJava. It introduces observables and observers, where observables push asynchronous events to observers via subscriptions. It explains how to create observables that return asynchronous values, and how operators like map, filter, and flatMap can transform and combine observable streams. Key lessons are that performance depends on operator implementations, debugging subscriptions can be difficult, and IDE support for reactive code is still maturing.
RxJava is a library for composing asynchronous and event-based programs using observable sequences. It allows avoiding callback hell and makes it easy to compose and transform asynchronous processes through combining, filtering, etc. RxJava uses Observables to represent asynchronous data streams and allows subscribing to those streams using Observers. It supports asynchronous operations through Schedulers and can integrate with libraries like Retrofit to handle asynchronous network requests in a reactive way. Learning the RxJava concepts and operators takes some time but it provides many benefits for managing asynchronous code in a declarative way.
This document contains the slides from a presentation on RxJava in practice given by Javier Gamarra in Madrid on November 27-28, 2015. The presentation introduces RxJava as a library for representing operations as asynchronous data streams that can be composed declaratively and consumed by multiple objects. It discusses key RxJava concepts like Observables, Subscribers, operators, and schedulers, and provides examples of using RxJava for Android development. The presentation also addresses common questions around RxJava and encourages attendees to ask additional questions.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
This document discusses using RxJava to handle asynchronous and concurrent processes. It provides an example of using RxJava to stream tweets from Twitter APIs, retrieve user profiles concurrently, and find the most popular tweet by a user. Key strengths of RxJava highlighted are that it is functional, reactive, allows controlling execution threads, and is easy to compose and integrate workflows. Some pitfalls mentioned are that the API is large, it can be hard to debug, and back pressure must be managed.
RxJava is an open source library for reactive programming that allows processing asynchronous streams of data. It provides operators to filter, transform, and combine Observables in a lazy manner. Observables represent asynchronous data streams that can be subscribed to receive push-based event notifications. Services return Observables to make their APIs asynchronous and reactive.
Reactive programming using rx java & akka actors - pdx-scala - june 2014Thomas Lockney
Reactive programming is an event-driven paradigm focused on data flow and treating code as a set of behaviors in response to events. RxJava is a library that uses observable sequences to compose asynchronous and event-based programs in a reactive style. It provides operators like map, flatMap, and filter to transform streams of events. Akka implements the actor model with actors that react to immutable messages in isolation through message passing. Both RxJava and Akka support reactive principles like scalability, resilience and responsiveness but require additional work.
The word "Reactive" can be confusing. As the founder of the Reactive Amsterdam meetup, I can tell there are two main topics here: Functional Reactive Programming (here with reference to Android) and "Reactive" in the sense of the Reactive Manifesto.
Mary Grygleski and myself, gave a very successful workshop to 51 attendees in NYC on April 15th - here is the updated presentation
https://www.linkedin.com/in/mary-grygleski/
https://www.linkedin.com/in/grant-steinfeld/
The Internet is asynchronous, people are asynchronous, the universe is asynchronous. They are now and they always will be. Writing applications which deal correctly with asynchronous data is difficult. Or at least it was. Microsoft open sourced ReactiveX in 2010 to make what used to be some of the hairiest kinds of coding almost easy.
The project was so well received that it has been ported to nearly every major programming language. Versions of ReactiveX exists for .NET, JavaScript, Java, Scala, Clojure, C++, Ruby, Python, Groovy, JRuby, Kotlin, and Swift. The project is open source and community maintain with corporate backing from the likes of Microsoft and Netflix.
Microsoft created the ReactiveX, then called reactive extensions, from the burnt out remains of Project Volta. Project Volta's goal was to extend .NET's to run both on the server and in the browser. A compiler would decide which parts were best to put where. It essentially was the Meteor framework in 2007.
In this talk we will take a deep look at ReactiveX. We will use code samples to show how things are done before and after ReactiveX. The code will be in C# and JavaScript. We will see how ReactiveX makes our lives as developers easier and our code more reactive.
R2DBC started as an experiment to enable integration of SQL databases into systems that use reactive programming models. Now it specifies a robust specification that can be implemented to manage data in a fully-reactive and completely non-blocking fashion.
Reactive programming is a programming paradigm based on propagating changes and processing data flows. It uses observables to emit items and subscribers to consume those items. Some key aspects are functional reactive programming using lambdas and closures, composing flows in a push-based and asynchronous manner using events. There are reactive extensions for many languages that allow composing asynchronous and event-based programs using observable sequences. RxJava is a library for composing asynchronous and event-based programs for the Java VM using observable sequences. It has common components like observables that emit items, subscribers that consume items, and operators to transform, filter, combine and aggregate observable sequences.
This document provides an introduction to reactive programming and RxJS. It begins by explaining the benefits of the reactive approach for asynchronous and event-driven code. It then contrasts reactive and functional programming, noting that reactive programming deals with asynchronous data streams. The document introduces RxJS and how it handles promises and observables. It defines observables and operators. Examples are provided to demonstrate reactive concepts. Resources for further learning are included at the end.
Here are a few thoughts in response to your questions:
- Lambda expressions will significantly improve readability and reduce noise in Java code by allowing for more concise one-liners compared to anonymous inner classes. However, debugging lambdas could potentially be more challenging since they are anonymous by nature. Tools and IDE support will need to evolve to help with this.
- With features like lambdas and default methods, Java 8 aims to become more competitive with languages like C# and Scala that already have closures and functional capabilities. However, Java's large existing code base and ecosystem give it advantages over newer languages.
- For Java 8 to be widely adopted, projects should start evaluating and migrating to it as early access
Reactive Card Magic: Understanding Spring WebFlux and Project ReactorVMware Tanzu
Spring Framework 5.0 and Spring Boot 2.0 contain groundbreaking technologies known as reactive streams, which enable applications to utilize computing resources efficiently.
In this session, James Weaver will discuss the reactive capabilities of Spring, including WebFlux, WebClient, Project Reactor, and functional reactive programming. The session will be centered around a fun demonstration application that illustrates reactive operations in the context of manipulating playing cards.
Presenter : James Weaver, Pivotal
This document discusses ReactiveX and RxJS. ReactiveX is a library for reactive programming that originated from the Volta project in 2007. It has implementations in many languages including RxJS for JavaScript. RxJS uses Observables to handle asynchronous data streams from sources like user input, animations, and network events. Observables are lazy push collections that can be composed using operators. RxJS is used by Netflix to handle streaming large amounts of asynchronous data.
This document discusses reactive microservices and Spring 5. It introduces reactive streams as a standard for asynchronous stream processing with back pressure. It describes Project Reactor as a reactive streams library for the JVM that is compatible with RxJava. Spring 5 supports reactive repositories, controllers, and web frameworks that integrate with reactive data sources, HTTP servers, and can convert between Mono, Flux, Observable, and CompletableFuture types. Spring 5 GA release was on July 27, 2017 and added reactive support across many Spring projects.
The document discusses various topics related to reactive and functional programming including NGRX, RxJS, Redux, Reactive Streams specification, and computing derived data using Reselect. It provides code examples for setting up an NGRX application with state management, effects, selectors, and composing the root reducer. It also discusses hot and cold streams, converting cold streams to hot, and the anatomy of RxJS operators.
WebCamp: Developer Day: Архитектура Web-приложений: обзор современных решений...GeeksLab Odessa
Архитектура Web-приложений: обзор современных решений
Руслан Шевченко
О разных подходах к проектированию web-приложений и трендах в этой области, включая как и относительный мейнстрим, так и экзотические решения, которые могут быть интересны в будущем.
Introductory presentation for the Clash of Technologies: RxJS vs RxJava event organized by SoftServe @ betahouse (17.01.2015). Comparison document with questions & answers available here: https://docs.google.com/document/d/1VhuXJUcILsMSP4_6pCCXBP0X5lEVTsmLivKHcUkFvFY/edit#.
React, GraphQL и Relay - вполне себе нормальный компонентный подход (nodkz)Pavel Chertorogov
The document discusses React, Relay, and GraphQL. It describes them as a "quite normal component approach" and provides overviews of each technology. For GraphQL, it highlights how GraphQL allows for single requests with nested data and any combinations of backend data sources. For Relay, it explains how Relay correlates components with GraphQL types and fragments to define necessary fields and render instructions. Live demos of a GraphQL server and Relay app are also referenced.
The document provides an overview of reactive programming and reactive systems, surveying 4 popular reactive Java tools and libraries: RxJava, Spring Reactor, Akka, and Eclipse Vert.x. It defines key concepts like reactive principles, event-driven vs message-driven, and reactive streams. It also compares tools and frameworks, providing code examples for each to illustrate reactive programming patterns and approaches. The document aims to introduce developers to reactive concepts and tools in a gentle manner.
The document provides an overview of trends in the React ecosystem. It introduces React concepts like components, props, state and lifecycles. It also discusses tools like Babel and Webpack. For state management, it covers Redux and MobX. Redux uses a single state tree, pure functions called reducers, and actions to change state. MobX uses observable state and computed values. The document also summarizes routing with React Router, and React bindings for Redux like react-redux and middleware like redux-saga and redux-thunk.
Intro slides - Global Reactive Meetup - Move over JDBC!Fabio Tiriticco
R2DBC is a new API for reactive database access that is meant to replace JDBC. An upcoming conference called ReactiveU20 focused on scalability, reactive programming, data, devops, and AI/ML will take place November 12-13 starting at 15:30 CEST and offers a 20% discount with the code REACTIVEU20. A meetup on November 26 from 19:00 to 20:00 will discuss Kotlin, SpringBoot, and Reactive Streams.
Slides for the talk I gave at the 2020 conference "Sofware Circus: Down The Rabbit Hole" . Attendees are given an overview of Deep Learning and a unique dataset to start experimenting. Code and images are available here: https://github.com/ticofab/deep-learning-with-scala
Slides of Maxim Burgerhout from RedHat ( @MaximBurgerhout ). This presentation was given at the Reactive Amsterdam meetup: https://www.meetup.com/Reactive-Amsterdam , in collaboration with GOTO Nights Amsterdam. Recording of the talk is here: https://www.youtube.com/watch?v=X2NFGHQzQok
Ten Frustrations From The Community Trenches (And How To Deal With Them)Fabio Tiriticco
As community managers dealing with people, we are all bound to deal with frustrations at some point. This talk goes over a few common ones and reveals a few tips to deal with them.
We all need friends and Akka just found KubernetesFabio Tiriticco
We all feel alone sometimes. Akka got along well with the VM crew ever since it was born, but new friends and fresh ideas are always necessary. Which is why lately Akka loves spending time with Kubernetes! Maybe the reason why they like each other so much is their sharing of core values such as transparent scalability and resilience.
How do these two technologies compare from a Reactive standpoint? Does one supersede the other? In fact, their powers can be combined to design distributed systems all the way from application code to cloud instance.
Cloud native akka and kubernetes holy grail to elasticityFabio Tiriticco
Akka is the most mature choice to implement the traits of the Reactive Manifesto, thanks to the Actor model. But we need to rely on some external infrastructure to automatically scale up or down our services. We found Docker & Kubernetes to be a perfect match for clustered Akka applications.
My personal highlights from the Reactive Summit 2017. I loved the conference from the beginning till the end and I shared some of that with my Reactive Amsterdam meetup. All content belongs to the respective speakers.
Beyond Fault Tolerance with Actor ProgrammingFabio Tiriticco
Actor Programming is a software building approach that lets you can go beyond fault tolerance and achieve Resilience, which is the capacity of a system to self-heal and spring back into a fresh shape. First I'll introduce the difference between Reactive Programming and Reactive Systems, and then we'll go over a couple of implementation examples using Scala and Akka.
The coupled GitHub repository with the code is here: https://github.com/ticofab/ActorDemo
** Video of this talk is here: https://youtu.be/MQGXrrhGUTw **
The first talk of the Meetup on the 11th of April 2017, hosted by weeronline.nl in their Amsterdam offices.
Streams are everywhere! Akka Streams help us model streaming processes using a very descriptive DSL and optimising resource usage.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
Unlocking the Power of IVR: A Comprehensive Guidevikasascentbpo
Streamline customer service and reduce costs with an IVR solution. Learn how interactive voice response systems automate call handling, improve efficiency, and enhance customer experience.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Web & Graphics Designing Training at Erginous Technologies in Rajpura offers practical, hands-on learning for students, graduates, and professionals aiming for a creative career. The 6-week and 6-month industrial training programs blend creativity with technical skills to prepare you for real-world opportunities in design.
The course covers Graphic Designing tools like Photoshop, Illustrator, and CorelDRAW, along with logo, banner, and branding design. In Web Designing, you’ll learn HTML5, CSS3, JavaScript basics, responsive design, Bootstrap, Figma, and Adobe XD.
Erginous emphasizes 100% practical training, live projects, portfolio building, expert guidance, certification, and placement support. Graduates can explore roles like Web Designer, Graphic Designer, UI/UX Designer, or Freelancer.
For more info, visit erginous.co.in , message us on Instagram at erginoustechnologies, or call directly at +91-89684-38190 . Start your journey toward a creative and successful design career today!
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
10. RxJava goes hand in hand with Java8’s Lambdas
new Func1<String, Integer>() {
@Override
public Integer call(String s) {
return s.length();
}
}
(String s) -> {
return s.length();
}
s -> s.length();
Retrolamba plugin for
Android < N
11. RxJava: dealing with a stream of items
class Cat {
...
public Collar getCollar() {…}
public Picture fetchPicture() {…}
...
}
12. RxJava: dealing with a stream of items
Observable.from(myCats);
(cat -> Log.d(TAG, “got cat”));
List<Cat> myCats;
Observable obs =
obs.subscribe
13. RxJava: dealing with a stream of items
Observable.from(myCats)
.subscribe(cat -> Log.d(TAG, “got cat”));
List<Cat> myCats;
14. RxJava: work on the stream
Observable.from(myCats)
.map(cat -> cat.getCollar())
.subscribe(collar -> Log.d(TAG, “got collar”));
map: T -> R
(this map: Cat -> Collar)
15. RxJava: operators to manipulate the stream
Observable.from(myCats)
.distinct()
.delay(2, TimeUnit.SECONDS)
.filter(cat -> cat.isWhite())
.subscribe(cat -> Log.d(TAG, “got white cat”));
19. RxJava: other ways of creating Observables
// emits on single item and completes
Observable.just
// emits one item after a certain delay
Observable.timer
.. plus many others, and you can create your own!
20. RxJava: demo with Retrofit & Meetup Streams
http://stream.meetup.com/2/rsvp
Meetup Streaming API
25. RxJava: demo with Meetup Streams
https://github.com/ticofab/android-meetup-streams
26. Reactive in (Android) frontend VS backend
ANDROID
Using RxJava
WHAT DO PEOPLE THINK THAT
“BEING REACTIVE” MEANS?
BACKEND
?
27. Evolution of server applications & user expectations
2006 2016
Servers ~10 The sky is the limit.
Response time seconds milliseconds
Offline maintenance hours what?
Data amount Gigabytes Petabytes
Machines Single core, little distribution
Must work across async
boundaries (location, threads)
Kind of data Request - response Streams (endless)
29. The Reactive traits
A reactive computer system must Trait
React to its users Responsive
React to failure and stay available Resilient
React to varying load conditions Elastic
Its components must react to inputs Message-driven
31. Reactive traits: Responsive
• A human who visits a website
• A client which makes a request to a server
• A consumer which contacts a provider
• . . .
A Reactive system responds to inputs and usage from its user.
32. Reactive traits: Elastic
• Scale OUT and IN: use just the right amount
• Elasticity relies on distribution
• Ensure replication in case of failure
Scale on demand to react to varying load
38. Reactive Pattern: Simple Component Pattern
“One component should do only one thing but do it in full. The aim is to
maximise cohesion and minimise coupling between components.”
39. Reactive Pattern: Simple Component Pattern
Actor 1
Actor 3
Actor 2
• contains state
• has a mailbox to receive
and send messages
• contains behaviour logic
• has a supervisor
Actor model Supervisor
40. Reactive Patterns: Let it crash!
"Prefer a full component restart to complex internal failure handling".
• failure conditions WILL occur
• they might be rare and hard to reproduce
• it is much better to start clean than to try to recover
• …which might be expensive and difficult!
42. Reactive Patterns: Let it crash!
• Components should be isolated - state is not shared
• Components should have a supervisor and delegate to it
some or all error handling
• The supervisor can transparently restart the component
• Message-passing architectures enforce state
confinement, error containment and transparency
In practice…
43. Reactive Patterns: Let it crash!
Actor supervision example
Actor 1
Actor 2
Supervisor
WhateverException!
X
Fix or
Restart
50. Reactive traits in Android?
Can we apply some of the Reactive Manifesto
principles to our Android development?
51. Reactive traits in Android?
Reactive trait In Android?
Responsive Execute as much as possible asynchronously
Elastic —
Resilient Delegate risky stuff to (Intent)Services or isolated components
Message passing
Communication via ResultReceiver
Use some event Bus
52. Reactive traits in Android?
…but I am sure that we can take this further.