”Everything is a stream“ - This often cited mantra indicates why Reactive Programming is such a powerful tool for handling data flows in almost every part of an application. Reactive Programming has experienced a significant growth in popularity in recent years. But its growing popularity also leads to a Babylonian confusion: the term ”Reactive“ has become overloaded and ”is now being associated with several different things to different people“ (Jonas Bonér, Viktor Klang). To understand what Reactive Programming is - and what it isn’t - this talk surveys the landscape sharpened by trends like Reactive Streams, Reactive Extensions and Reactive Systems. It then summarizes the basic principles of Reactive Programming by looking at the Reactor library and discusses examples, of how to use this library in a legacy system.
Introduction to Spring WebFlux #jsug #sf_a1Toshiaki Maki
The document provides an introduction and overview of Spring WebFlux, a non-blocking web framework for Spring. It discusses the differences between blocking and non-blocking web stacks, and how Spring WebFlux uses reactive streams and programming. Code examples are provided showing how to build reactive controllers and streams in Spring WebFlux that support backpressure.
This document discusses reactive programming and Spring Webflux. It begins with an introduction to reactive programming and why it is needed for applications with high user expectations. It then covers reactive streams and the Reactive Manifesto. It introduces Project Reactor and compares it to RxJava. It discusses how Spring Webflux allows for non-blocking reactive REST APIs. It concludes with an overview of a demo and next steps including support for SQL, web sockets, and MongoDB.
Reactive programming by spring webflux - DN Scrum Breakfast - Nov 2018Scrum Breakfast Vietnam
Are you struggling to create a non-blocking REST application or a reactive micro-services? Spring WebFlux, a new module introduced by Spring 5 may help.
This new module introduces:
- Fully non-blocking
- Supports Reactive Streams back pressure
- Runs on such servers as Netty, Undertow, and Servlet 3.1+ containers
- Its support for the reactive programming model
In our next Scrum Breakfast, we will discuss Spring WebFlux, its benefit and how we implement it.
Our workshop will be including the following:
- What is reactive programming
- Introduction to Spring Webflux
- Tea break
- The details in Spring Webflux
- Reactive stack demonstration
- Q&A
SpringOne Platform 2017
Stéphane Maldini, Pivotal; Simon Basle, Pivotal
"In 2016, Project Reactor was the foundation before Spring Reactive story, in particular with Reactor Core 3.0 fueling our initial Spring Framework 5 development.
2017 and 2018 are the years Project Reactor empowers the final Spring Framework 5 GA and an entire ecosystem, thus including further refinement, feedbacks and incredible new features. In fact, the new Reactor Core 3.1 and Reactor Netty 0.7 are the very major versions used by the like of Spring Boot 2.0, and they have dramatically consolidated around a simple but yet coherent API.
Discover those changes and the new Reactor capabilities including support for Reactive AOP, Observability, Tracing, Error Strategies for long-running streams, new Netty driver, improved test support, community driven initiatives and much more
Finally, the first java framework & ecosystem gets the reactive library it needs !"
1) Reactive programming is a new programming paradigm that is asynchronous and non-blocking, treating data flows as event-driven streams.
2) Traditional REST APIs are synchronous and blocking with limitations on concurrent users, while reactive programming supports asynchronous operations, uses fewer threads, and enables back pressure on data streams.
3) Key aspects of reactive programming include reactive streams specifications, publishers that represent data sources, subscribers, and asynchronous non-blocking libraries like RxJava and Project Reactor that implement the specifications.
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
[Webinar]: Working with Reactive SpringKnoldus Inc.
In this PPT, we will go through the new feature of Reactive Spring i.e how to work with Reactive Programming in Spring 5.0.
These slides also cover:
1. Reactive Architecture and why we need it.
2. Advantages of writing reactive code.
3. How it works with Spring framework.
Introduction to Spring WebFlux #jsug #sf_a1Toshiaki Maki
The document provides an introduction and overview of Spring WebFlux, a non-blocking web framework for Spring. It discusses the differences between blocking and non-blocking web stacks, and how Spring WebFlux uses reactive streams and programming. Code examples are provided showing how to build reactive controllers and streams in Spring WebFlux that support backpressure.
This document discusses reactive programming and Spring Webflux. It begins with an introduction to reactive programming and why it is needed for applications with high user expectations. It then covers reactive streams and the Reactive Manifesto. It introduces Project Reactor and compares it to RxJava. It discusses how Spring Webflux allows for non-blocking reactive REST APIs. It concludes with an overview of a demo and next steps including support for SQL, web sockets, and MongoDB.
Reactive programming by spring webflux - DN Scrum Breakfast - Nov 2018Scrum Breakfast Vietnam
Are you struggling to create a non-blocking REST application or a reactive micro-services? Spring WebFlux, a new module introduced by Spring 5 may help.
This new module introduces:
- Fully non-blocking
- Supports Reactive Streams back pressure
- Runs on such servers as Netty, Undertow, and Servlet 3.1+ containers
- Its support for the reactive programming model
In our next Scrum Breakfast, we will discuss Spring WebFlux, its benefit and how we implement it.
Our workshop will be including the following:
- What is reactive programming
- Introduction to Spring Webflux
- Tea break
- The details in Spring Webflux
- Reactive stack demonstration
- Q&A
SpringOne Platform 2017
Stéphane Maldini, Pivotal; Simon Basle, Pivotal
"In 2016, Project Reactor was the foundation before Spring Reactive story, in particular with Reactor Core 3.0 fueling our initial Spring Framework 5 development.
2017 and 2018 are the years Project Reactor empowers the final Spring Framework 5 GA and an entire ecosystem, thus including further refinement, feedbacks and incredible new features. In fact, the new Reactor Core 3.1 and Reactor Netty 0.7 are the very major versions used by the like of Spring Boot 2.0, and they have dramatically consolidated around a simple but yet coherent API.
Discover those changes and the new Reactor capabilities including support for Reactive AOP, Observability, Tracing, Error Strategies for long-running streams, new Netty driver, improved test support, community driven initiatives and much more
Finally, the first java framework & ecosystem gets the reactive library it needs !"
1) Reactive programming is a new programming paradigm that is asynchronous and non-blocking, treating data flows as event-driven streams.
2) Traditional REST APIs are synchronous and blocking with limitations on concurrent users, while reactive programming supports asynchronous operations, uses fewer threads, and enables back pressure on data streams.
3) Key aspects of reactive programming include reactive streams specifications, publishers that represent data sources, subscribers, and asynchronous non-blocking libraries like RxJava and Project Reactor that implement the specifications.
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
[Webinar]: Working with Reactive SpringKnoldus Inc.
In this PPT, we will go through the new feature of Reactive Spring i.e how to work with Reactive Programming in Spring 5.0.
These slides also cover:
1. Reactive Architecture and why we need it.
2. Advantages of writing reactive code.
3. How it works with Spring framework.
Reactive programming is a general programming term focused on reacting to changes, such as data values or events. It can and often is done imperatively. A callback, delegate is an approach to reactive programming done imperatively.
Being Functional on Reactive Streams with Spring ReactorMax Huang
The journey begins with using Java 8 introduced Optional/Stream/CompletableFuture more functional, after which Reactive Streams is introduced with a homemade implementation that is ultimately made functional to increase usability. Finally Spring Reactor (Project Reactor) is presented and used for building a device simulator periodically reporting data to device controller.
Reactive Programming In Java Using: Project ReactorKnoldus Inc.
The session provides details about reactive programming with reactive streams. The purpose of Reactive Streams is to provide a standard for asynchronous stream processing with non-blocking backpressure.”
This concept is explained using Project reactor.
This document discusses the history and current state of the Spring Framework and previews new features in Spring Framework 5. It outlines the challenges of blocking I/O and imperative code in traditional Spring applications and how Spring 5 aims to address this through support for reactive programming with Reactor and RxJava. Key new aspects of Spring 5 include Java 8 support, HTTP/2 integration, reactive controllers and routing, and integration of Reactive Streams for asynchronous non-blocking code.
An introduction to reactive programming concepts and basics. I aim here to show what's reactive programming, why it's used and show some frameworks and benchmarks that support it.
This document provides an overview of reactive programming concepts like state, time, sync vs async operations, futures and promises. It discusses different approaches to reactive programming in Java like using CompletableFuture, JDeferred and RxJava. It also covers functional programming concepts, data streams, reactive Spring and the future of reactive programming in Java 9 and beyond.
This document provides an overview of reactive programming in Java and Spring 5. It discusses reactive programming concepts like reactive streams specification, Reactor library, and operators. It also covers how to build reactive applications with Spring WebFlux, including creating reactive controllers, routing with functional endpoints, using WebClient for HTTP requests, and testing with WebTestClient.
SpringOne Tour: Spring Boot 3 and BeyondVMware Tanzu
This document discusses new features and capabilities in Spring Boot 3 and beyond, including support for JDK 17 and Jakarta EE 9/10, ahead-of-time compilation, virtual threads, improved observability, and more. Spring Boot 3.1 RC1 has been released with features like using Testcontainers for development, building Docker images, and dependency upgrades. The speaker demonstrated Spring Boot 3 and discussed upcoming releases of Spring Framework 6.0 and 6.1 as foundations for new Spring Boot versions.
GraalVMs native-image ermöglicht es, JVM Bytecode direkt in Maschinencode zu übersetzen. Das daraus resultierende Executable benötigt keine JVM zum Laufen, startet schneller und verbraucht weniger Speicher als eine traditionelle JVM-Anwendung – ein Segen für Cloud Computing, bei dem jeder CPU-Cycle und Megabyte an RAM bezahlt werden muss. Wäre es nicht großartig, wenn unser Lieblingsframework, Spring Boot, GraalVM direkt out of the box unterstützen würde? In diesem Talk zeigt Moritz Halbritter, Spring Boot committer, was mit Spring Boot 3 und Spring Framework 6 alles möglich sein wird und erlaubt auch einen Blick unter die Motorhaube, um zu sehen, wie das alles implementiert ist.
Vert.x is a toolkit for building reactive microservices applications on the JVM. It uses the reactor pattern with a single-threaded event loop to avoid the C10K problem. Verticles are lightweight concurrent units that communicate asynchronously via an event bus. This allows building scalable and reactive microservices. Vert.x supports websockets, clustering, reactive programming with RxJava, and can be deployed to production environments like AWS. It also integrates with Spring for dependency injection and configuration.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
The document discusses Spring Cloud Gateway, which is a cloud-native gateway built on Spring Framework and Spring Boot. It runs as a gateway that provides routing, security, monitoring and resiliency capabilities for microservices. Spring Cloud Gateway uses a non-blocking API and integrates with Project Reactor. It provides capabilities like routing, filtering, monitoring and resiliency through its predicates, filters and gateway handler.
Modeling Data and Queries for Wide Column NoSQLScyllaDB
Discover how to model data for wide column databases such as ScyllaDB and Apache Cassandra. Contrast the differerence from traditional RDBMS data modeling, going from a normalized “schema first” design to a denormalized “query first” design. Plus how to use advanced features like secondary indexes and materialized views to use the same base table to get the answers you need.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Battle Of The Microservice Frameworks: Micronaut versus Quarkus edition! Michel Schudel
Micronaut and Quarkus are two cool emerging Java backend frameworks that aim to solve some problems that exist in current frameworks, like faster startup, low memory footprint, and support for ahead-of-time compilation using GraalVM. In this session, we'll square off both frameworks against each other.
How do they compare, what are the stronger and weaker points of both frameworks?
We'll compare the following features:
Initializing your project
Building your first restcontroller / programming model
Startup time
Database support
Integration test support
Building native images
Memory usage and JAR sizes
Ease of cloud deployment
In the end, we might have a clear winner! ... or will we?
Reactive Programming, Traits and Principles. What is Reactive, where does it come from, and what is it good for? How does it differ from event driven programming? It only functional?
GraalVM is a universal virtual machine that can run applications written in multiple languages like Java, JavaScript, Python, Ruby, R, and more. It includes technologies like Native Image that can compile applications ahead-of-time to produce small, fast executable files. GraalVM aims to provide high performance while also enabling polyglot programming across languages without performance penalties.
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Going Reactive with Relational DatabasesIvaylo Pashov
Relational Databases have been a blocker for systems incorporating a fully reactive stack since the inception of the Reactive Streams specification.
The new Reactive Relational Database Connectivity (R2DBC) can be considered as a game-changer towards achieving efficiency and resiliency on persistence level.
Being one of the early adopters, incorporating R2DBC on an ETL that is processing 5 billion flight tickets per year, I will compare it with the existing alternatives in the same space.
We will go through the existing APIs, the current limitations, the new Spring 5.2 reactive transactions, and some of the most useful constructs and patterns that emerge from using R2DBC.
Probably everyone has heard about reactive programming but not everyone tried to use it in real projects.
This presentation is about reactive approach basics and about own experience of integrating this approach into real Android project step by step.
Reactive programming is a general programming term focused on reacting to changes, such as data values or events. It can and often is done imperatively. A callback, delegate is an approach to reactive programming done imperatively.
Being Functional on Reactive Streams with Spring ReactorMax Huang
The journey begins with using Java 8 introduced Optional/Stream/CompletableFuture more functional, after which Reactive Streams is introduced with a homemade implementation that is ultimately made functional to increase usability. Finally Spring Reactor (Project Reactor) is presented and used for building a device simulator periodically reporting data to device controller.
Reactive Programming In Java Using: Project ReactorKnoldus Inc.
The session provides details about reactive programming with reactive streams. The purpose of Reactive Streams is to provide a standard for asynchronous stream processing with non-blocking backpressure.”
This concept is explained using Project reactor.
This document discusses the history and current state of the Spring Framework and previews new features in Spring Framework 5. It outlines the challenges of blocking I/O and imperative code in traditional Spring applications and how Spring 5 aims to address this through support for reactive programming with Reactor and RxJava. Key new aspects of Spring 5 include Java 8 support, HTTP/2 integration, reactive controllers and routing, and integration of Reactive Streams for asynchronous non-blocking code.
An introduction to reactive programming concepts and basics. I aim here to show what's reactive programming, why it's used and show some frameworks and benchmarks that support it.
This document provides an overview of reactive programming concepts like state, time, sync vs async operations, futures and promises. It discusses different approaches to reactive programming in Java like using CompletableFuture, JDeferred and RxJava. It also covers functional programming concepts, data streams, reactive Spring and the future of reactive programming in Java 9 and beyond.
This document provides an overview of reactive programming in Java and Spring 5. It discusses reactive programming concepts like reactive streams specification, Reactor library, and operators. It also covers how to build reactive applications with Spring WebFlux, including creating reactive controllers, routing with functional endpoints, using WebClient for HTTP requests, and testing with WebTestClient.
SpringOne Tour: Spring Boot 3 and BeyondVMware Tanzu
This document discusses new features and capabilities in Spring Boot 3 and beyond, including support for JDK 17 and Jakarta EE 9/10, ahead-of-time compilation, virtual threads, improved observability, and more. Spring Boot 3.1 RC1 has been released with features like using Testcontainers for development, building Docker images, and dependency upgrades. The speaker demonstrated Spring Boot 3 and discussed upcoming releases of Spring Framework 6.0 and 6.1 as foundations for new Spring Boot versions.
GraalVMs native-image ermöglicht es, JVM Bytecode direkt in Maschinencode zu übersetzen. Das daraus resultierende Executable benötigt keine JVM zum Laufen, startet schneller und verbraucht weniger Speicher als eine traditionelle JVM-Anwendung – ein Segen für Cloud Computing, bei dem jeder CPU-Cycle und Megabyte an RAM bezahlt werden muss. Wäre es nicht großartig, wenn unser Lieblingsframework, Spring Boot, GraalVM direkt out of the box unterstützen würde? In diesem Talk zeigt Moritz Halbritter, Spring Boot committer, was mit Spring Boot 3 und Spring Framework 6 alles möglich sein wird und erlaubt auch einen Blick unter die Motorhaube, um zu sehen, wie das alles implementiert ist.
Vert.x is a toolkit for building reactive microservices applications on the JVM. It uses the reactor pattern with a single-threaded event loop to avoid the C10K problem. Verticles are lightweight concurrent units that communicate asynchronously via an event bus. This allows building scalable and reactive microservices. Vert.x supports websockets, clustering, reactive programming with RxJava, and can be deployed to production environments like AWS. It also integrates with Spring for dependency injection and configuration.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
The document discusses Spring Cloud Gateway, which is a cloud-native gateway built on Spring Framework and Spring Boot. It runs as a gateway that provides routing, security, monitoring and resiliency capabilities for microservices. Spring Cloud Gateway uses a non-blocking API and integrates with Project Reactor. It provides capabilities like routing, filtering, monitoring and resiliency through its predicates, filters and gateway handler.
Modeling Data and Queries for Wide Column NoSQLScyllaDB
Discover how to model data for wide column databases such as ScyllaDB and Apache Cassandra. Contrast the differerence from traditional RDBMS data modeling, going from a normalized “schema first” design to a denormalized “query first” design. Plus how to use advanced features like secondary indexes and materialized views to use the same base table to get the answers you need.
GraphQL is a query language for APIs and a runtime for fulfilling those queries. It gives clients the power to ask for exactly what they need, which makes it a great fit for modern web and mobile apps. In this talk, we explain why GraphQL was created, introduce you to the syntax and behavior, and then show how to use it to build powerful APIs for your data. We will also introduce you to AWS AppSync, a GraphQL-powered serverless backend for apps, which you can use to host GraphQL APIs and also add real-time and offline capabilities to your web and mobile apps. You can follow along if you have an AWS account – no GraphQL experience required!
Level: Beginner
Speaker: Rohan Deshpande - Sr. Software Dev Engineer, AWS Mobile Applications
Battle Of The Microservice Frameworks: Micronaut versus Quarkus edition! Michel Schudel
Micronaut and Quarkus are two cool emerging Java backend frameworks that aim to solve some problems that exist in current frameworks, like faster startup, low memory footprint, and support for ahead-of-time compilation using GraalVM. In this session, we'll square off both frameworks against each other.
How do they compare, what are the stronger and weaker points of both frameworks?
We'll compare the following features:
Initializing your project
Building your first restcontroller / programming model
Startup time
Database support
Integration test support
Building native images
Memory usage and JAR sizes
Ease of cloud deployment
In the end, we might have a clear winner! ... or will we?
Reactive Programming, Traits and Principles. What is Reactive, where does it come from, and what is it good for? How does it differ from event driven programming? It only functional?
GraalVM is a universal virtual machine that can run applications written in multiple languages like Java, JavaScript, Python, Ruby, R, and more. It includes technologies like Native Image that can compile applications ahead-of-time to produce small, fast executable files. GraalVM aims to provide high performance while also enabling polyglot programming across languages without performance penalties.
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Mydbops
MySQL Clustering over InnoDB engines has grown a lot over the last decade. Galera began working with InnoDB early and then Group Replication came to the environment later, where the features are now rich and robust. This presentation offers a technical comparison of both of them.
Going Reactive with Relational DatabasesIvaylo Pashov
Relational Databases have been a blocker for systems incorporating a fully reactive stack since the inception of the Reactive Streams specification.
The new Reactive Relational Database Connectivity (R2DBC) can be considered as a game-changer towards achieving efficiency and resiliency on persistence level.
Being one of the early adopters, incorporating R2DBC on an ETL that is processing 5 billion flight tickets per year, I will compare it with the existing alternatives in the same space.
We will go through the existing APIs, the current limitations, the new Spring 5.2 reactive transactions, and some of the most useful constructs and patterns that emerge from using R2DBC.
Probably everyone has heard about reactive programming but not everyone tried to use it in real projects.
This presentation is about reactive approach basics and about own experience of integrating this approach into real Android project step by step.
This document provides an introduction to Akka.NET Streams and Reactive Streams. It discusses key concepts like observables, async enumerables, and reactive streams. It also demonstrates how to build workflows with Akka.NET streams, including examples of building a TCP server. The document introduces core Akka.NET streams concepts like sources, flows, and sinks, and how they compose together in a runnable graph. It also covers testing streams with probes and materialization.
Reactive Fault Tolerant Programming with Hystrix and RxJavaMatt Stine
This document discusses reactive fault tolerant programming using Hystrix and RxJava. It begins with an overview of microservices architecture and how latency can occur between services. It then introduces futures and CompletableFutures as ways to allow asynchronous and parallel processing. RxJava is presented as a reactive programming library that can be used to compose asynchronous and event-based programs. Hystrix is discussed as a library for implementing the circuit breaker pattern to handle failures gracefully in distributed systems. The document provides examples of using RxJava and Hystrix to build fault tolerant reactive microservices.
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/
This document provides an overview of reactive programming and how it can be applied to Java applications using frameworks like Project Reactor and Spring WebFlux. It defines reactive programming as composing asynchronous and event-based streams using non-blocking operators. It discusses how reactive streams like Flux and Mono work in Project Reactor and how Spring WebFlux allows building reactive web applications that can handle high concurrency with low latency. Examples are provided of building reactive data repositories, handling streaming responses with backpressure, and orchestrating remote service calls reactively.
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.
Understanding reactive programming with microsoft reactive extensionsOleksandr Zhevzhyk
We all want our applications to be responsible, reliable and testable. But event-driven paradigm sometimes could lead us to obscured or, even worse, messy code. Let’s look into the world, where generated data, background tasks and events are stuck together as asynchronous data streams to achieve a better result.
Programming Sideways: Asynchronous Techniques for AndroidEmanuele Di Saverio
Android apps need to respond fast, support highly parallel execution and multi component architecture.
Learn some tricks of the trade for these problems!
as presented at www.mobileconference.it (2013 edition)
The document discusses reactive programming and how it can be used on Android. It explains that reactive programming uses observable sequences and asynchronous data flows. It introduces RxJava as a library for reactive programming that uses Observables to compose flows of asynchronous data. It provides examples of how RxJava can be used on Android to perform background tasks, handle errors and activity lifecycles, load images asynchronously, and create and transform Observables.
Asynchronous stream processing with Akka StreamsJohan Andrén
The document discusses Akka streams, which provide a toolkit for building highly concurrent and distributed applications on the JVM. It describes key components of Akka like actors for concurrency, clustering for location transparency, and streams for asynchronous stream processing. Reactive Streams is introduced as a standard for asynchronous stream processing with back pressure. Examples are provided to demonstrate how to create stream processing graphs with Akka Streams in just a few lines of code.
Spark Streaming has quickly established itself as one of the more popular Streaming Engines running on the Hadoop Ecosystem. Not only does it provide integration with many type of message brokers and stream sources, but it also provides the ability to leverage other major modules in Spark like Spark SQL and MLib in conjunction. This allows for businesses and developers to make use out of data in ways they couldn’t hope to do in the past.
However, while building a Spark Streaming pipeline, it’s not sufficient to only know how to express your business logic. Operationalizing these pipelines and running the application with high uptime and continuous monitoring has a lot of operational challenges. Fortunately, Spark Streaming makes all that easy as well. In this talk, we’ll go over some of the main steps you’ll need to take to get your Spark Streaming application ready for production, specifically in conjunction with Kafka. This includes steps to gracefully shutdown your application, steps to perform upgrades, monitoring, various useful spark configurations and more.
Journey into Reactive Streams and Akka StreamsKevin Webber
Are streams just collections? What's the difference between Java 8 streams and Reactive Streams? How do I implement Reactive Streams with Akka? Pub/sub, dynamic push/pull, non-blocking, non-dropping; these are some of the other concepts covered. We'll also discuss how to leverage streams in a real-world application.
Intro to Reactive Thinking and RxJava 2JollyRogers5
Reactive Extensions (Rx) was first introduced by Microsoft in 2009 and has since been ported to most platforms and languages. It provides a way to model asynchronous data streams and events using Observables in a way that makes it easier to compose asynchronous and event-based programs. Some key advantages include simplifying asynchronous operations, surfacing errors sooner, and reducing bugs from state variables. However, the API is large so there is a steep learning curve. RxJava is an implementation of Rx for the JVM that allows pushing data instead of pulling it without worrying about threads. Common operators like map, filter, and flatMap allow transforming and combining Observable streams.
How to Think in RxJava Before ReactingIndicThreads
Presented at the IndicThreads.com Software Development Conference 2016 held in Pune, India. More at http://www.IndicThreads.com and http://Pune16.IndicThreads.com
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4Developers 2015: Programowanie synchroniczne i asynchroniczne - dwa światy k...PROIDEA
This document discusses asynchronous and synchronous programming in Java. It covers several key aspects:
1. Java supports both multi-threading for synchronous programming as well as asynchronous programming using non-blocking I/O and libraries like RxJava.
2. Asynchronous programming can be difficult due to issues like complex error handling, lack of readability, and difficulty debugging.
3. Many open-source libraries have been created to help with asynchronous programming using approaches like futures, callbacks, and promises.
4. Reactive programming libraries like RxJava, Reactor, and Vert.x use approaches like asynchronous streams to simplify asynchronous code.
This document discusses strategies for modernizing a legacy monolithic application, including using strangler patterns to gradually refactor the monolith into microservices. It outlines approaches like using an API gateway to front the legacy system and new services, as well as methodologies like twelve-factor apps. Key techniques mentioned include feature toggles and service discovery with Eureka.
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.
Next generation message driven systems with AkkaJohan Andrén
The document provides an overview and examples of Akka Typed, the next generation of Akka focused on type safety. It introduces key Akka Typed concepts like actors, behaviors, and messages. It then provides two sample programs to demonstrate basic actor messaging in Akka Typed: a "hello world" example and an example that shows how an actor's behavior can change dynamically based on messages received. The samples are shown in both Java and Scala to illustrate the language agnostic nature of Akka Typed.
Although most microservices are stateless - they delegate things like persistence and consistency to a database or external storage. But sometimes you benefit when you keep the state inside the application. In this talk I’m going to discuss why you want to build stateful microservices and design choices to make. I’ll use Akka framework and explain tools like Akka Clustering and Akka Persistence in depth and show a few practical examples.
Similar to Declarative Concurrency with Reactive Programming (20)
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
2. Who am I?
§ Florian Stefan
§ fstefan@ebay.com | @f_s_t_e_f_a_n
§ Software Engineer at mobile.de (eBay Classifieds Group)
§ JVM-based web applications in cloud environment
Introduction
3. Why am I here?
§ C10K problem in IoT project
§ Spring, Play, Netty, Node.js
§ Legacy Systems / Microservice Architectures
Introduction
8. The Reactive Manifesto
Reactive Systems
responsive
resilient
event-driven
scalable
scalable
react to load
responsive
react to user
resilient
react to failure
event-driven
react to events
99. Reactive Streams
§ Flow API in Java 9: java.util.concurrent.Flow
§ Standard for asynchronous stream processing
§ Pivotal, Lightbend, Netflix, Oracle, Red Hat and others
Reactive
Streams
Akka Streams
ReactorRxJava 2
Backpressure
Marble Diagrams
Function Composition with Higher
Order Functions
Functional
Programming
Declarative
Programming
REACTIVE
PROGRAMMING
REACTIVE
SYSTEMS
Reactive Extensions
Backpressure
100. Reactive Streams
public class Flow {
interface Processor<T, R> { ... }
interface Publisher<T> { ... }
interface Subscriber<T> { ... }
interface Subscription { ... }
}
Reactive
Streams
Akka Streams
ReactorRxJava 2
Backpressure
Marble Diagrams
Function Composition with Higher
Order Functions
Functional
Programming
Declarative
Programming
REACTIVE
PROGRAMMING
REACTIVE
SYSTEMS
Reactive Extensions
Backpressure
131. What‘s more?
§ Concurrency with publishOn and ParallelFlux
§ Declarative Error Handling
§ Logging and Monitoring
§ Cold Streams vs. Hot Streams
§ C10K and Non-blocking IO
§ Reactive Streams in the Web
Conclusion