Cesar Valiente "Unidirectional architecture on Android with Kotlin"IT Event
"Have you ever heard about unidirectional data flow? Flux and/or Redux?
In this talk, we will talk about how to follow the principles that architectures like Flux and Redux do on the web, but on Android.
What is a state? A dispatcher? Middleware? Controller view? How do we glue all these parts together? How to keep our domain isolated from the outer world so is easily testable? how do we chain actions?
We will cover all these topics and much more!!, and you know what? everything with a bit of Kotlin sauce, so we will see how we can take advantage of the cool stuff this language provide us to make our architecture even better."
How We Built the Private AppExchange App (Apex, Visualforce, RWD)Salesforce Developers
The AppExchange and Success Community team built a brand new app this year: the Private AppExchange. Join us and learn how the team built this managed package, the choices we made and why. We will talk about the AppExchange Search Framework that all three of these products are built upon and we will talk about how we made a responsive UI that works on whatever device you choose.
A Practical Approach to Building a Streaming Processing Pipeline for an Onlin...Databricks
Yelp’s ad platform handles millions of ad requests everyday. To generate ad metrics and analytics in real-time, they built they ad event tracking and analyzing pipeline on top of Spark Streaming. It allows Yelp to manage large number of active ad campaigns and greatly reduce over-delivery. It also enables them to share ad metrics with advertisers in a more timely fashion.
This session will start with an overview of the entire pipeline and then focus on two specific challenges in the event consolidation part of the pipeline that Yelp had to solve. The first challenge will be about joining multiple data sources together to generate a single stream of ad events that feeds into various downstream systems. That involves solving several problems that are unique to real-time applications, such as windowed processing and handling of event delays. The second challenge covered is with regards to state management across code deployments and application restarts. Throughout the session, the speakers will share best practices for the design and development of large-scale Spark Streaming pipelines for production environments.
Unidirectional Data Flow Architecture (Redux) in SwiftSeyhun AKYUREK
Redux, simply makes your application’s state in single store object. So firing an action from your application/in view’s lifecycle state changes and your reducers for that action generate a new state. In this slideshow I'm explaining how to implement ReSwift in IOS Applications
In this talk, I'm presenting an alternative approach to thinking about UI and navigation on iOS - one that is declarative and that I find easy to reason about in a big application. I did live coding and the link is on the last slide. Enjoy!
Cesar Valiente "Unidirectional architecture on Android with Kotlin"IT Event
"Have you ever heard about unidirectional data flow? Flux and/or Redux?
In this talk, we will talk about how to follow the principles that architectures like Flux and Redux do on the web, but on Android.
What is a state? A dispatcher? Middleware? Controller view? How do we glue all these parts together? How to keep our domain isolated from the outer world so is easily testable? how do we chain actions?
We will cover all these topics and much more!!, and you know what? everything with a bit of Kotlin sauce, so we will see how we can take advantage of the cool stuff this language provide us to make our architecture even better."
How We Built the Private AppExchange App (Apex, Visualforce, RWD)Salesforce Developers
The AppExchange and Success Community team built a brand new app this year: the Private AppExchange. Join us and learn how the team built this managed package, the choices we made and why. We will talk about the AppExchange Search Framework that all three of these products are built upon and we will talk about how we made a responsive UI that works on whatever device you choose.
A Practical Approach to Building a Streaming Processing Pipeline for an Onlin...Databricks
Yelp’s ad platform handles millions of ad requests everyday. To generate ad metrics and analytics in real-time, they built they ad event tracking and analyzing pipeline on top of Spark Streaming. It allows Yelp to manage large number of active ad campaigns and greatly reduce over-delivery. It also enables them to share ad metrics with advertisers in a more timely fashion.
This session will start with an overview of the entire pipeline and then focus on two specific challenges in the event consolidation part of the pipeline that Yelp had to solve. The first challenge will be about joining multiple data sources together to generate a single stream of ad events that feeds into various downstream systems. That involves solving several problems that are unique to real-time applications, such as windowed processing and handling of event delays. The second challenge covered is with regards to state management across code deployments and application restarts. Throughout the session, the speakers will share best practices for the design and development of large-scale Spark Streaming pipelines for production environments.
Unidirectional Data Flow Architecture (Redux) in SwiftSeyhun AKYUREK
Redux, simply makes your application’s state in single store object. So firing an action from your application/in view’s lifecycle state changes and your reducers for that action generate a new state. In this slideshow I'm explaining how to implement ReSwift in IOS Applications
In this talk, I'm presenting an alternative approach to thinking about UI and navigation on iOS - one that is declarative and that I find easy to reason about in a big application. I did live coding and the link is on the last slide. Enjoy!
Do you TDD or BDD? Why not both? Come learn the "Double Loop" workflow and discover how you can use both Behavior Driven Development and Test Driven Development to write well designed, tested and documented code. Double Loop works for lone engineers, small teams or entire product departments. I'll cover the steps you'll take in the workflow as each role as well as tools for executing Double Loop
Ph d defense_Department of Information Technology, Uppsala University, SwedenSabesan Manivasakan
Querying Data Providing Web Services
Manivasakan Sabesan
Department of Information Technology
Uppsala University
Sweden.
Abstract
Web services are often used for search computing where data is retrieved from servers providing information of different kinds. Such data providing web services return a set of objects for a given set of parameters without any side effects. There is need to enable general and scalable search capabilities of data from data providing web services, which is the topic of this Thesis.
The Web Service MEDiator (WSMED) system automatically provides relational views of any data providing web service operations by reading the WSDL documents describing them. These views can be queried with SQL. Without any knowledge of the costs of executing specific web service operations the WSMED query processor automatically and adaptively finds an optimized parallel execution plan calling queried data providing web services.
For scalable execution of queries to data providing web services, an algebra operator PAP adaptively parallelizes calls in execution plans to web service operations until no significant performance improvement is measured, based on monitoring the flow from web service operations without any cost knowledge or extensive memory usage.
To comply with the Everything as a Service (XaaS) paradigm WSMED itself is implemented as a web service that provides web service operations to query and combine data from data providing web services. A web based demonstration of the WSMED web service provides general SQL queries to any data providing web service operations from a browser.
WSMED assumes that all queried data sources are available as web services. To make any data providing system into a data providing web service WSMED includes a subsystem, the web service generator, which generates and deploys the web service operations to access a data source. The WSMED web service itself is generated by the web service generator.
Four Steps Toward a Safer Continuous Delivery Practice (Hint: Add Monitoring)VMware Tanzu
The demands of fast incremental code development require a stable, safe, and continuous delivery pipeline that can get your code into the hands of your customers without delay. Put your continuous delivery pipeline on autopilot by automating and simplifying the workflow—continuous integration to production readiness—and by using an automated monitoring solution to prevent bad builds from impacting production.
This webinar will cover the steps to building an automated, monitored pipeline:
1. Modeling and visualizing your build and delivery process as a pipeline (defined as a single, declarative config file) using Concourse CI.
2. Leveraging integrations to trigger actions and share data, supporting functions like testing, collaboration, and monitoring.
3. Enhancing your end-to-end continuous delivery pipeline with contextual deployment event feeds to Dynatrace.
4. Adding automated, metrics-based quality gates between pre-production stages and an automatic post-production approval step, all with specifications defined in source control.
Attendees will learn how some of the unique capabilities of Concourse CI and Pivotal Cloud Foundry, coupled with Dynatrace’s software intelligence, can put your continuous delivery pipeline on autopilot and ensure safer production outcomes.
Presenters: James Ma, Senior Product Manager, Pivotal & Michael Villiger, Sr. Technical Partner Manager, Dynatrace
Reduxing UI: Borrowing the Best of Web to Make Android BetterChristina Lee
This talk was given at Realm on 3.31.16 and makes the case for looking to the web to find better mobile strategies. Also covers one example of a way you can take a web framework (Cycle.js) and port it to native.
Everything to Know About React Re-Rendering: A Comprehensive GuideBOSC Tech Labs
This blog will cover a comprehensive guide to React re-rendering, its components, and its types. You will get an overview of React components with an example.
Making design decisions in React-based ClojureScript web applicationsFalko Riemenschneider
After the appearance of React in the browser landscape the community built numerous libraries like Om, Om Next, Reagent (used with or without Re-frame), Quiescent, Reacl and perhaps even more to make Reacts blessings available in ClojureScript. Some libraries clearly express their preferences about how a more complete frontend architecture should look like, and encourage us to add core.async, co-located queries, reactive programming or cursors to the mix.
Based on an understanding of the general problems to be solved within a single-page-application this talk will provide some design heuristics on how to make the right choices that add just enough complexity to your frontend.
About Basics of IBM Rational Performance Tester Tool.
It describes what is RPT? how to do a simple script in RPT.
And how to execute it?.
Its a brief idea about RPT
Special thanks to Daniel Egan. This presentation provides a deeper dive into Windows Phone 7 for developers. Topics cover how you navigate in your applicaton, how to access Web Services, use JSON to move data, and how to push notifications.
Whitepaper: Measuring Engagement in Native AdvertisingMissy Steiner
Native advertising is relatively young compared to the paid
search and traditional display advertising markets which
means that the tools available to marketers to measure
the performance of their campaigns is immature. Marketers
are often forced to use click-through-rate (CTR) to
measure the performance of their campaign. In some
scenarios it makes sense to define a conversion goal and
measure conversion rate. However, this is not possible in
all scenarios.
Three years ago Store4, the little library that could, was released at KotlinConf'19. Store has been simplifying data loading on Android for close to a decade and was supercharged by being 100% Kotlin. Today we're here to talk about the next paradigm shift in data loading Store5 - a Kotlin Multiplatform solution for reading, writing and resolving data conflicts on any platform that Kotlin supports (Android, iOS, Web and Desktop). The Android community has embraced Store for close to a decade, Kotlin is making it possible to adopt the same patterns on other mobile platforms and beyond.
With the addition of support for updating remote sources, network resilience, pain free conflict resolution, and a highly extensible api - Store5 aims to make reading and writing data effortless on all Kotlin platforms. This talk will focus on Store5 foundational concepts and usage in production and at scale. We will be covering adopting KMP, applying Google's offline-first guiding principles beyond Android and how we hope to establish a seamless way for all apps, regardless of platform, to work with local and remote data. This talk is not to be missed for folks (like us) who have battle scars from years of working on hard to fix bugs in offline first applications.
Do you TDD or BDD? Why not both? Come learn the "Double Loop" workflow and discover how you can use both Behavior Driven Development and Test Driven Development to write well designed, tested and documented code. Double Loop works for lone engineers, small teams or entire product departments. I'll cover the steps you'll take in the workflow as each role as well as tools for executing Double Loop
Ph d defense_Department of Information Technology, Uppsala University, SwedenSabesan Manivasakan
Querying Data Providing Web Services
Manivasakan Sabesan
Department of Information Technology
Uppsala University
Sweden.
Abstract
Web services are often used for search computing where data is retrieved from servers providing information of different kinds. Such data providing web services return a set of objects for a given set of parameters without any side effects. There is need to enable general and scalable search capabilities of data from data providing web services, which is the topic of this Thesis.
The Web Service MEDiator (WSMED) system automatically provides relational views of any data providing web service operations by reading the WSDL documents describing them. These views can be queried with SQL. Without any knowledge of the costs of executing specific web service operations the WSMED query processor automatically and adaptively finds an optimized parallel execution plan calling queried data providing web services.
For scalable execution of queries to data providing web services, an algebra operator PAP adaptively parallelizes calls in execution plans to web service operations until no significant performance improvement is measured, based on monitoring the flow from web service operations without any cost knowledge or extensive memory usage.
To comply with the Everything as a Service (XaaS) paradigm WSMED itself is implemented as a web service that provides web service operations to query and combine data from data providing web services. A web based demonstration of the WSMED web service provides general SQL queries to any data providing web service operations from a browser.
WSMED assumes that all queried data sources are available as web services. To make any data providing system into a data providing web service WSMED includes a subsystem, the web service generator, which generates and deploys the web service operations to access a data source. The WSMED web service itself is generated by the web service generator.
Four Steps Toward a Safer Continuous Delivery Practice (Hint: Add Monitoring)VMware Tanzu
The demands of fast incremental code development require a stable, safe, and continuous delivery pipeline that can get your code into the hands of your customers without delay. Put your continuous delivery pipeline on autopilot by automating and simplifying the workflow—continuous integration to production readiness—and by using an automated monitoring solution to prevent bad builds from impacting production.
This webinar will cover the steps to building an automated, monitored pipeline:
1. Modeling and visualizing your build and delivery process as a pipeline (defined as a single, declarative config file) using Concourse CI.
2. Leveraging integrations to trigger actions and share data, supporting functions like testing, collaboration, and monitoring.
3. Enhancing your end-to-end continuous delivery pipeline with contextual deployment event feeds to Dynatrace.
4. Adding automated, metrics-based quality gates between pre-production stages and an automatic post-production approval step, all with specifications defined in source control.
Attendees will learn how some of the unique capabilities of Concourse CI and Pivotal Cloud Foundry, coupled with Dynatrace’s software intelligence, can put your continuous delivery pipeline on autopilot and ensure safer production outcomes.
Presenters: James Ma, Senior Product Manager, Pivotal & Michael Villiger, Sr. Technical Partner Manager, Dynatrace
Reduxing UI: Borrowing the Best of Web to Make Android BetterChristina Lee
This talk was given at Realm on 3.31.16 and makes the case for looking to the web to find better mobile strategies. Also covers one example of a way you can take a web framework (Cycle.js) and port it to native.
Everything to Know About React Re-Rendering: A Comprehensive GuideBOSC Tech Labs
This blog will cover a comprehensive guide to React re-rendering, its components, and its types. You will get an overview of React components with an example.
Making design decisions in React-based ClojureScript web applicationsFalko Riemenschneider
After the appearance of React in the browser landscape the community built numerous libraries like Om, Om Next, Reagent (used with or without Re-frame), Quiescent, Reacl and perhaps even more to make Reacts blessings available in ClojureScript. Some libraries clearly express their preferences about how a more complete frontend architecture should look like, and encourage us to add core.async, co-located queries, reactive programming or cursors to the mix.
Based on an understanding of the general problems to be solved within a single-page-application this talk will provide some design heuristics on how to make the right choices that add just enough complexity to your frontend.
About Basics of IBM Rational Performance Tester Tool.
It describes what is RPT? how to do a simple script in RPT.
And how to execute it?.
Its a brief idea about RPT
Special thanks to Daniel Egan. This presentation provides a deeper dive into Windows Phone 7 for developers. Topics cover how you navigate in your applicaton, how to access Web Services, use JSON to move data, and how to push notifications.
Whitepaper: Measuring Engagement in Native AdvertisingMissy Steiner
Native advertising is relatively young compared to the paid
search and traditional display advertising markets which
means that the tools available to marketers to measure
the performance of their campaigns is immature. Marketers
are often forced to use click-through-rate (CTR) to
measure the performance of their campaign. In some
scenarios it makes sense to define a conversion goal and
measure conversion rate. However, this is not possible in
all scenarios.
Three years ago Store4, the little library that could, was released at KotlinConf'19. Store has been simplifying data loading on Android for close to a decade and was supercharged by being 100% Kotlin. Today we're here to talk about the next paradigm shift in data loading Store5 - a Kotlin Multiplatform solution for reading, writing and resolving data conflicts on any platform that Kotlin supports (Android, iOS, Web and Desktop). The Android community has embraced Store for close to a decade, Kotlin is making it possible to adopt the same patterns on other mobile platforms and beyond.
With the addition of support for updating remote sources, network resilience, pain free conflict resolution, and a highly extensible api - Store5 aims to make reading and writing data effortless on all Kotlin platforms. This talk will focus on Store5 foundational concepts and usage in production and at scale. We will be covering adopting KMP, applying Google's offline-first guiding principles beyond Android and how we hope to establish a seamless way for all apps, regardless of platform, to work with local and remote data. This talk is not to be missed for folks (like us) who have battle scars from years of working on hard to fix bugs in offline first applications.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
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#AIFusionBuddyforBeginners,
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#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
20. data class ScreenState(
val searchResults:List<Results>,
val searchTerm:String,
val isLoading:Boolean)
Example: state modeled as a single data class
21. data class ScreenState(
val searchResults:List<Results>,
val searchTerm:String,
val isLoading:Boolean,
val CartItems:List<Items>,
val userId:Long
Example: state modeled as a single growing data class
22. data class ScreenState(
val searchResults:List<Results>,
val searchTerm:String,
val isLoading:Boolean,
val CartItems:List<Items>,
val userId:Long
State modeled as a God class
23. Android devs love being reactive,
why not represent state as a stream?
24. Lately, I’ve been using a
centralized dispatcher to model
state as a reactive stream
53. Reactive state
Sealed class State{
data class ShowingLoading():State
data class ShowingResults(val results:List<String>):State
data class ShowingError(val error:Error):State
}
Represent your state as immutable value objects
54. Reactive state
Push new state through a reactive stream
Interface Dispatcher
fun dispatch(state: State)
}
interface RxState {
fun <T> ofType(clazz: Class<T>): Observable<T>
}
Sealed class State{
data class ShowingLoading():State
data class ShowingResults(val results:List<String>):State
data class ShowingError(val error:Error):State
}
55. Reactive state
Anytime UI needs to change, dispatch a new state
dispatcher.dispatch(State.ShowingResults(resultData)
dispatcher.dispatch(State.ShowingLoading()
dispatcher.dispatch(State.ShowingError(errors)
56. Reactive state
Anytime state changes, react to new state
rxState.ofType(State.Results)
.map{it.data}
.subscribe{ mvpView.updateUI(data) }
57. Rather than tightly coupling Search & Results
we decouple them with a dispatcher
69. Reactive state
Dispatcher needs to emit a new State to subscribers
Dispatcher
SearchPresenter
ResultsPresenter
SearchView
SearchTerm
ShowingResults
70. Reactive state
Dispatcher Emits new ShowingResults State to ResultsPresenter
Dispatcher
SearchPresenter
ResultsPresenter
SearchView
SearchTerm
ShowingResults
71. Reactive state
Dispatcher Emits new ShowingResults State to subscribers
Dispatcher
SearchPresenterSearchView
SearchTerm
ShowingResults
ResultsPresenter
72. Reactive state
Dispatcher Emits new ShowingResults State to subscribers
Dispatcher
SearchPresenter
ResultsPresenter
SearchView
SearchTerm
ResultsView
ShowingResults
73. Reactive state
Multiple Views can listen to same state change Dispatcher
SearchPresenterSearchView
SearchTerm
ResultsPresenterResultsView
LoadingPresenterLoadingView
80. Pizza
override fun attachView(view: NearYouMVPView) {
rxState.ofType(State.Results)
.map{it.data}
.subscribe{ mvpView.updateUI(data) }
}
Presenter subscribes on attach
81. Another presenter dispatches state change
Pizza
fun searchFor(searchTerm:String){
store.getResults(searchTerm)
.subscribe{dispatcher.dispatch(State.Results(data=it.results)}
82. Dispatcher emits state change
Pizza
fun searchFor(searchTerm:String){
store.getResults(searchTerm)
.subscribe{dispatcher.dispatch(State.Results(data=it.results)}
override fun attachView(view: NearYouMVPView) {
rxState.ofType(State.Results)
.map{it.data}
.subscribe{ mvpView.updateUI(data) }
}
83. Consumers & Producers of state stay decoupled
Pizza
fun searchFor(searchTerm:String){
store.getResults(searchTerm)
.subscribe{dispatcher.dispatch(State.Results(data=it.results)}
override fun attachView(view: NearYouMVPView) {
rxState.ofType(State.Results)
.map{it.data}
.subscribe{ mvpView.updateUI(data) }
}
108. We can show/hide views based on showing states
rxState.showingNot(Cart::class.java))
.subscribe({
mvpView.hide()
}))
rxState.showing(Cart::class.java))
.subscribe({
mvpView.showCart()
}))
128. Presenter dispatches new screen state
sealed class Screen : State() {
data class Checkout(val payload:String) : Screen()
}
dispatcher.dispatch(Screen.Checkout)
131. Dispatches a showing state
rxState.creating()
.subscribe({
createScreen(it)
dispatcher.dispatch(Showing(it.screen))
})
132. Dispatcher adds each showing event to a back stack
override fun dispatch(state: State) {
when (state) {
is Showing->{
backstack.push(state)
rxState.push(state)
}
else -> rxState.push(state)
}
}
133. Dispatcher adds each showing event to a back stack
override fun dispatch(state: State) {
when (state) {
is Showing->{
backstack.push(state)
rxState.push(state)
}
else -> rxState.push(state)
}
}
val backstack: Stack<Showing> = Stack()
134. Dispatcher pushes new state to subscribers
override fun dispatch(state: State) {
when (state) {
is Showing->{
backstack.push(state)
rxState.push(state)
}
else -> rxState.push(state)
}
}
135. Presenter reacts to the showing state
override fun attachView(mvpView: CheckoutMVPView) {
rxState.showing(Screen.Checkout::class.java)
.observeOn(AndroidSchedulers.mainThread())
.subscribe { mvpView.show() }
136. Screens = States
sealed class Screen : State() {
object Search : Screen()
object Cart:Screen()
Data class Checkout(val items:List<Item>) : Screen()
data class Payment(val items:List<Item>) : Screen()
}
137. Routing becomes a state change
sealed class Screen : State() {
object Search : Screen()
object Cart:Screen()
Data class Checkout(val items:List<Item>) : Screen()
data class Payment(val items:List<Item>) : Screen()
}
fun goToSearch() {dispatcher.dispatch(Screen.Search)}
fun openCart() { dispatcher.dispatch(Screen.Cart) }
fun submitNames(firstName: String, lastName: String) {
userRepository.update(firstName, lastName)
.subscribe { dispatcher.dispatch(Screen.CheckoutPayment(cartItems)) }
}
140. Dispatcher.goBack()
Dispatcher will pop current showing state and
dispatch previous one again
interface Dispatcher {
fun dispatch(state: State)
fun goBack()
}
override fun onBackPressed() {
dispatcher.goBack()
}
141. State Stack = Back Stack
override fun onBackPressed() {
dispatcher.goBack()
}
interface Dispatcher {
fun dispatch(state: State)
fun goBack()
}
142. Back Stack = State Stack
interface Dispatcher {
fun dispatch(state: State)
fun goBack()
}
override fun onBackPressed() {
dispatcher.goBack()
}