MaintainX helps you track your reactive maintenance, preventive maintenance, and control the daily operations of your business such as safety inspections, quality inspections, and operating checklists - all with a digital audit trail

MaintainX

United States v. Apple INC Court Filing, retrieved on March 21, 2024 is part of . You can jump to any part in this filing . This part is 9 of 25. HackerNoon’s Legal PDF Series here C. Apple’s “moat” around its smartphone monopoly is wide and deep: it uses a similar playbook to maintain its monopoly through many other products and services 119. The exclusionary and anticompetitive acts described above are part of Apple’s ongoing course of conduct to build and maintain its smartphone monopoly. They are hardly exhaustive. Rather, they exemplify the innovation Apple has stifled and Apple’s overall strategy of using its power over app distribution and app creation to selectively block threatening innovations. 120. Apple has deployed a similar playbook for a much broader range of third-party apps and services as well, many of which present technologies that function as middleware, facilitate switching, reduce the need for expensive hardware, or disintermediate Apple’s iPhone by enabling the development of cross-platform technologies. For instance, Apple has undermined third-party location trackable devices that fully function across platforms. Apple has impaired third-party, cross-platform video communications apps while steering users to its own video communication app, FaceTime. Apple has limited the capabilities of third-party iOS web browsers, including by requiring that they use Apple’s browser engine, WebKit. Protocols that Apple has placed around new “eSIM” technology may introduce additional frictions for any user who seeks to transition from an iPhone to a different phone while maintaining the same phone number. Apple has impeded cross-platform cloud storage apps in order to steer iPhone users into iCloud, making data transfer between different devices more difficult. Apple uses restrictions in sales channels to impede the sale and distribution of rival smartphones. And Apple has worsened its users’ experience by making it difficult for iPhone users to use superior voice and AI assistants and steering users to use Siri as a voice assistant. 121. Ultimately, the strategies Apple has employed to date are not the only ones Apple can use to achieve its anticompetitive and lucrative ends. As technology evolves, Apple continues to evolve and shift its anticompetitive behavior to protect its monopoly power. For example, in recent years, Apple has increasingly moved into offering its own subscription services, including news, games, video, music, cloud storage, and fitness subscriptions that could be used to keep users tethered to the platform. These subscription services and other ancillary fees are a significant part of Apple’s net revenue. These subscriptions services can also increase switching costs among iPhone users. If an Apple user can only access their subscription service on an iPhone, they may experience significant costs, time, lost content, and other frictions if they attempt to switch to a non-Apple smartphone or subscription service. 122. These subscription services can also increase Apple’s power over content creators and newspapers, among others, by exerting control over how audiences access their work, decreasing traffic to their websites and apps, and positioning Apple as the middleman or tollbooth operator in the relationship between creators and users. In so doing, Apple takes on outsize importance and control in the creative economy, which may diminish incentives to fund, make, and distribute artistic expression. 123. In addition, when one road is closed to Apple, Apple has demonstrated its ability to find new roads to the same or worse ends. For example, Apple was recently ordered to stop blocking link-outs by third parties to their websites where users could buy the third party’s product cheaper. In response, Apple reportedly allowed link-outs to websites but now charges for purchases made on the web even if they are not an immediate result of a click from a link in a native iPhone app. 124. Apple has also attempted to undermine cross-platform technologies like digital car keys in ways that benefit Apple but harm consumers. For example, Apple has required developers to add digital keys developed for their own apps to Apple Wallet as well. The default status of Apple Wallet steers users to the Apple Wallet rather than allowing third parties to present digital car keys only in their own cross-platform app, increasing dependence on Apple and the iPhone whenever they use their car. At the same time, it decreases the incentives of automakers to innovate because automakers are forced to share data with Apple and prevented from differentiating themselves as they could absent Apple’s conduct. 125. Apple’s threatened dominance over the automotive industry goes well beyond the Apple Wallet and Apple’s demands on car makers to allow innovative products and services on the iPhone. Apple’s smartphone dominance extends to CarPlay, an Apple infotainment system that enables a car’s central display to serve as a display for the iPhone and enables the driver to use the iPhone to control maps and entertainment in the car. Like the smartphone market, infotainment systems are increasingly considered must-have capabilities in newer vehicles. After leveraging its smartphone dominance to car infotainment systems, Apple has told automakers that the next generation of Apple CarPlay will take over all of the screens, sensors, and gauges in a car, forcing users to experience driving as an iPhone-centric experience if they want to use any of the features provided by CarPlay. Here too, Apple leverages its iPhone user base to exert more power over its trading partners, including American carmakers, in future innovation. By applying the same playbook of restrictions to CarPlay, Apple further locks-in the power of the iPhone by preventing the development of other disintermediating technologies that interoperate with the phone but reside off device. Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on March 21, 2024, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. justice.gov

Apple's Monopoly Tactics: How the Tech Giant Maintains Its Grip Across Products and Services

What is Multi-Tenant Analytics? Multi-Tenant Analytics refers to a scenario where multiple users or groups of users, also known as “tenants”, can securely access and analyze their own data within a shared analytics system, or a SaaS platform. The system is designed to ensure each tenant’s data remains private and separate from others. Why is Multi-Tenant Analytics Important to the Success of SaaS Companies? is a powerful tool that is becoming increasingly important to SaaS companies. This technology allows these companies to embed analytical capabilities directly within their applications, creating a seamless user experience for their customers. Multi-tenant analytics But why is this so important? The answer lies in the nature of SaaS businesses. These companies often serve numerous clients, each with its own unique set of data. With multi-tenant analytics, each customer – or tenant – can analyze and extract valuable insights from their own data. This helps them make informed decisions, optimize their operations, and ultimately, get more value from the SaaS product. Moreover, multi-tenant analytics also ensures the privacy and security of each customer’s data. Despite all customers using the same application, their data remains isolated and secure from other tenants. This is crucial in a time when data breaches and privacy concerns are top of mind for many businesses. In essence, multi-tenant analytics empowers SaaS companies to provide more value to their customers while also ensuring the privacy and security of their data. It’s a win-win situation that is driving the success of many SaaS businesses in today’s digital landscape. What are the Benefits of Multi-Tenant Analytics to Users of SaaS Platforms? Multi-tenant analytics, as a particular use case of embedded analytics, provides an extensive range of benefits to users of SaaS platforms. Self-Service Report Creation The key advantage is that it enables self-service reporting. This means that users can generate their own reports, customize their data, and create visuals without needing to rely on the IT department or data scientists. It empowers users to access and interpret their data in ways that best suit their specific needs and preferences. Custom Dataset Creation Additionally, multi-tenant analytics also facilitates the creation of custom datasets. Users can draw from a wide variety of data sources, consolidate this data into a single dataset, and then analyze it to derive meaningful insights. This ability to tailor datasets and carry out complex analyses significantly enhances the value that users can derive from their SaaS platforms. Flexibility and scalability of analytics functions provides users with the tools they need to adapt to changing business environments and challenges. What are the Advantages of Multi-Tenant Analytics for Product and Engineering Teams? Multi-tenant analytics is particularly beneficial to teams that build and maintain SaaS platforms. Here’s why: : Since all tenants are utilizing the same resources, the costs associated with maintaining and upgrading the system are shared, leading to significant savings. Cost Efficiency : Multi-tenant architecture allows for easy scaling. As new tenants are added, they can be accommodated within the existing system without the need for additional resources or infrastructure. Scalability : With each tenant having access to their own data, they can conduct in-depth analysis and gain valuable insights. This information can help them make informed decisions and optimize their operations. Improved Data Analysis and Insights : Multi-Tenant Analytics allows for higher levels of customization. Each tenant can tailor the system to suit their specific needs without affecting the user experience of others. Greater Customization : Despite the shared nature of the system, each tenant’s data remains secure and isolated from others. This is crucial in the modern business world, where data breaches and privacy concerns are a top priority. Enhanced Data Security For the Product and Engineering teams, multi-tenant analytics provides the opportunity to innovate and enhance their offerings. They can use the insights gained from the system to improve their product, meet their clients’ needs more effectively, and stay competitive in the market. Integrating a turnkey solution like Qrvey allows these teams to allocate their resources more effectively, focusing on areas that add the most value to their product. Why Building Multi-Tenant Analytics is Incredibly Hard We see companies struggle with this repeatedly. Creating performant, secure, and scalable multi-tenant analytics requires overcoming steep data engineering and infrastructure challenges that stretch the limits of most software teams. Simply put, this is one area that most engineering teams are trained to build. ANALYTICS WITHOUT QRVEY (scroll down for WITH QRVEY) Ensuring Tenant Data Security Multi-tenant analytics platforms must isolate data between different customer tenants. This involves tackling permissions, access controls, and strict separation mechanisms to prevent exposure beyond authorized users, especially as data volumes, queries, and user concurrency expand over time. Compliance regulations like GDPR and HIPAA further complicate data management because of auditing requirements and data sovereignty considerations. This is one reason many healthcare SaaS companies struggle to implement within their application and one of the most important reasons we only support deployed, here at Qrvey. healthcare analytics cloud-native software Managing Performance and Scalability In contrast to single-tenant applications, the world of is characterized by unpredictable and spiky traffic patterns. This happens because customers can access reports and dashboards on their own, each with their own usage patterns and needs. multi-tenant analytics The critical challenge here lies in ensuring that the underlying data infrastructure can effectively stretch to accommodate these diverse tenant needs and data volumes. To achieve this, various advanced techniques are employed, such as the implementation of microservices, the orchestration of containers, and the deployment of auto-scaling mechanisms. However, one of the most significant developments in this area is serverless technology. This presents a relatively new and innovative pathway to scaling processes and systems. This is a notable advancement, considering that legacy analytics software typically ran on expensive servers, which often posed limitations in terms of scalability. Qrvey helps solve this challenge by developing on serverless technology from the beginning. Qrvey’s solution has never involved server purchases or rentals which lead to expensive compute clusters that sit idle most of the day. Integrating Disparate Data Sources In the complex world of data analytics, companies often encounter the challenge of integrating various and often disconnected data sources. While connecting to a single database or warehouse may be sufficient for some applications, the reality is that many more complex, multi-tenant analytics use cases rely on the aggregation of different data sources. These data sources can be as diverse as online databases, cloud storage solutions, log files, or even streams of data from Internet of Things (IoT) sensors. Companies will typically be forced to build separate pipelines with dedicated ETL for every data source. Given the vast variety of these sources, the task of data integration can become quite daunting. However, the need for comprehensive insights and analytics makes this integration essential. The platforms that manage these multi-tenant analytics need to be equipped with flexible and repeatable pipelines. Qrvey solves this challenge by offering a that works with any data type. This simplicity and consolidation of development efforts leads to much greater efficiency on the engineering side, but end users ultimately benefit as you can offer them a wider variety of data for analysis. unified data pipeline Mapping User Roles to Data Access in Multi-Tenant Environments In environments where multiple customer tenants are accessing a shared analytics application, the task of linking user roles and permissions from the primary SaaS app to row and column-level data restrictions becomes a complex undertaking. This complexity is because of the increased overhead compared to standalone analytics tools. The use of semantic layers, which are a crucial component in , further adds to this complexity. These layers allow for the implementation of detailed data access controls, but they can become quite intricate, especially considering the highly dynamic security needs often present in these environments. multi-tenant analytics These security needs may vary greatly between different tenants and can change rapidly over time, making it a challenge to maintain an accurate and effective mapping of user roles to data access. Despite these challenges, it is a critical task to ensure that each user can access the data they need while preventing unauthorized access to sensitive data. Qrvey includes a native semantic layer. We know you can’t be successful without this component and it’s always a task for development teams to build and maintain. With Qrvey, it’s included. Enabling Tenant-Specific Customization in Multi-Tenant Analytics In the world of multi-tenant analytics, there are certain elements such as the core dashboards or reports that may be standardized across all tenants. This standardization is vital for maintaining consistency in the process of analyzing data. However, it is equally important to allow for tenant-specific customization. Tenant-specific customization could include elements like unique datasets, visualizations, and metrics that cater to the particular needs of each tenant. This approach prevents the creation of a rigid “one-size-fits-all” interface, which may not fully address the unique requirements of each tenant. Therefore, striking a balance between these two competing needs – standardization of certain elements and customization of others – is a complex task, but with Qrvey, it’s not only possible, but it’s also perhaps the biggest advantage of including a data management layer that powers down to the user level. custom data models Game changer. Software Engineers are Not Data Engineers While software engineering teams are experts in their field, they often find themselves lacking the specialized skills necessary for managing . These skills include, but are not limited to, multi-tenant analytics and large data volume queries managing concurrent analytical workloads implementing sophisticated security models designing high-performing query engines This lack of domain expertise exacerbates the variety of other technical challenges that these teams may encounter, creating a significant gap. Development Tasks Become Increasingly Demanding As the scale of operations increases, the task of seamlessly migrating tenant data and ensuring smooth onboarding flows becomes progressively more challenging. It requires careful planning and execution to handle the data volume and complexity while minimizing disruption to the end users. Data Migration and Onboarding: Keeping track of tenant analytic activity is a demanding task. Identifying and resolving issues in various tenants requires a strong understanding of data analytics. This process also involves a significant amount of operational tasks. This necessitates a robust system for monitoring and troubleshooting. Monitoring and Troubleshooting: Ensuring the integrity and functionality of features across various tenant data permutations is another essential yet demanding task. It requires the implementation of rigorous, automated testing programs to prevent potential issues such as data leakage or access control problems. This level of quality assurance is critical in maintaining trust and reliability with end users. Testing and Quality Assurance: Qrvey: A Purpose-Built Multi-Tenant Analytics Solution ANALYTICS WITH QRVEY that empowers development teams to build and deliver embedded analytics for SaaS applications, regardless of data source, data type, or front-end framework. Qrvey is a turnkey solution that uses a single data pipeline to ingest, integrate, and analyze data from various sources. Qrvey offers a suite of APIs and visualization widgets to create customizable analytics experiences for users. Qrvey is a fully deployed solution Qrvey can handle various challenges and scenarios for multi-tenant analytics, such as custom data models, , multiple data sources, and . Qrvey can also improve SaaS product metrics and reduce costs. personalized data visualizations content deployment At the end of the day, we’re here to make the process of offering better analytics and reporting easier to engineering teams. Let us show you how. Also published . here

Why is Multi-tenant Analytics Hard to Build and Maintain

মাল্টি-টেন্যান্ট অ্যানালিটিক্স: Qrvey এর টার্নকি সলিউশনের সাথে SaaS প্ল্যাটফর্মে বিপ্লব ঘটাচ্ছে

Multi-Tenant-Analyse: Revolutionierung von SaaS-Plattformen mit der schlüsselfertigen Lösung von Qrvey

Análisis multiinquilino: revolucionando las plataformas SaaS con la solución llave en mano de Qrvey

Analyse multi-locataires : révolutionner les plates-formes SaaS avec la solution clé en main de Qrvey

मल्टी-टेनेंट एनालिटिक्स: Qrvey के टर्नकी समाधान के साथ SaaS प्लेटफार्मों में क्रांति लाना

マルチテナント分析: Qrvey のターンキー ソリューションで SaaS プラットフォームに革命を起こす

다중 테넌트 분석: Qrvey의 턴키 솔루션으로 SaaS 플랫폼 혁신

Análise multilocatário: revolucionando plataformas SaaS com a solução pronta para uso da Qrvey

Мультитенантная аналитика: революция в SaaS-платформах с помощью готового решения Qrvey

Çok Kiracılı Analitik: Qrvey'in Anahtar Teslim Çözümüyle SaaS Platformlarında Devrim Yaratıyor

Phân tích nhiều người thuê: Cách mạng hóa nền tảng SaaS với Giải pháp chìa khóa trao tay của Qrvey

多租户分析：利用 Qrvey 的交钥匙解决方案彻底改变 SaaS 平台

TOPTAL, LLC v. DENIS GROSZ Court Filing, retrieved on February 26, 2024, is part of . You can jump to any part in this filing . This part is 4 of 7. HackerNoon’s Legal PDF Series here A. Toptal Did Not Breach the NPA Or Note by Refusing to Convert the Note to Equity In 2015 The Court also finds that Mr. Grosz's theory that Toptal breached by failing to perform in response to Mr. Grosz's election to convert his Note to equity in 2015 cannot withstand summary judgment. , the Court finds that Section 2.2(b) of the NPA does not grant Mr. Grosz a perpetual option to elect to convert his Note to equity. See Shaver v. Clacton, 26 Cal. App. 4th 568, 578 (1994) (Crosby, J., concurring) (“options in perpetuity [are] about as common as polar bear sightings in Death Valley”). Section 2.2(b) states: “At any time on or after the fifteenth (15th) day prior to the Maturity Date, if the Next Equity Financing has not occurred by that time, the Note, at Lender's election by written notice to the Company, will be converted ....” The plain meaning of this language creates a start date for the election period commencing “At any time on or after the fifteenth (15t') day prior to the Maturity Date” and ending on the Maturity Date. Construing that provision to give Mr. Grosz a 15-day window ending on the Maturity Date during which he must decide whether to elect to convert is consistent with other contractual provisions, California law, and the meaning of the term “Maturity Date.” See Cal. Civ. Code § 1641 (“The whole of a contract is to be taken together, so as to give effect to every part, if reasonably practicable, each clause helping to interpret the other.”). First The Court recognizes that unless a contract “unequivocally demonstrate[s] the parties’ intent” to grant a perpetual option, a contract should not be read to bind the parties forever. 205 Cal. App. 4th 873, 893 (2012). There is no such “unequivocal” language here. 45 Cal. App. 4th 1, 79 (1996) (finding that the word “hereafter” “cannot reasonably be read as referring to any time in the indefinite future”); 240 Iowa 541, 546 (1949) (phrases like “hereafter” “indicate[] direction in time rather than duration” and are “not [] synonym[s] for ‘forever”’). 28 See Ginsberg v. Gamson, Cf. Armstrong World Indus., Inc. v. Aetna Cas. & Sur. Co., McManigal v. Hiatt, The Court finds that Mr. Grosz has presented no record evidence showing that the parties intended for this provision of the contract to grant him a conversion remedy that extended beyond the Maturity Date. 7 Cal. 4th 503, 517 (1994) (“it is appropriate to enforce only such obligations as each party voluntarily assumed”); 220 Cal. App. 4th 974, 983 (2013) (in interpreting contracts, courts “seek to discover the intent of the parties, primarily by examining the words the parties have chosen”). The Court is unaware of any logical reason why Mr. Grosz's option to elect conversion would open 15 days prior to the Maturity Date if it did not close on the Maturity Date. See Applied Equip. Corp. v. Litton Saudia Arabia Ltd., Nissho of Cal., Inc. v. Bond Safeguard Ins. Co., It is undisputed that Mr. Grosz did not make an election to convert his Note prior to the Maturity Date. Therefore, Toptal's refusal to perform in response to Mr. Grosz's November 24, 2015, or 2020 election (made after both parties filed lawsuits against each other) was not a breach. while the Coun need not reach this issue given that Mr. Grosz made his election well outside of the time to do so, the Court finds that the NPA does not grant Mr. Grosz the ability to force Toptal to change its corporate form in response to his election. Mr. Grosz only points to Section 2.2(c), a one-sentence provision that states: “For clarification, the Company agrees to complete a Company Conversion prior to any conversion of the Note pursuant to this Section 2.2.” Nothing in the plain language of Section 2.2(c) provides Mr. Grosz with the power to decide when and if Toptal will change its corporate form and complete a Company Conversion. Section 2.2(c) itself does not refer to Section 2.2(b) but instead contains a reference to all of Section 2.2, a reference that encompasses the separate “conversion trigger” of a Next Equity Financing contained in Section 2.2(a)—thereby indicating that Section 2.2(b) does not operate as, and was not inserted to be, an enabling provision of Section 2.2(b) but rather a clarifying, sequencing provision. Moreover, the Court finds that it would be unreasonable to interpret the agreement in a way that would allow a lender of matured debt the perpetual right to force a company to undertake a complete corporate restructuring. Cal. Civ. Code § 1639 (“When a contract is reduced to writing, the intention of the parties is to be ascertained from the writing alone, if possible..... ”); Cal. Civ. Code § 1643 (“A contract must receive such an interpretation as will make it ...reasonable”). Contracts must be read so as not to produced “absurd results.” 2023 WL 3775333, at *14 (E.D. Cal. June 2, 2023). The Court finds that Mr. Grosz's interpretation that he, as a single lender with a convertible promissory note, could force Toptal to undergo a complete corporate restructuring at his whim and continuing perpetually into the future would produce an absurd result. 2017 WL 1478624, at *2 (N.D. Cal. Apr. 25, 2017), 747 F. Appx. 629 (9th Cir. 2019) (dismissing case where plaintiffs “interpretation would contradict the plain language of the contract” and “subject [d]efendant to potentially limitless, unspecified obligations”). Second, See Am. Multi-cinema, Inc. v. Manteca Lifestyle Ctr., LLC, See Shrem v. Sw. Airlines Co., aff'd, Section 2.2(c) does not say anything about granting Mr. Grosz the power to force Toptal to change its corporate form in order to effectuate any election he makes. The Court agrees with Toptal that if the parties intended to endow Mr. Grosz with such power, the contract would have clearly so stated. It does not. The parties agree that Mr. Grosz inserted Sections 2.2(b) and 2.2(c) into the NPA. Therefore, any ambiguities arising out of these sections must be resolved against him. 53 Cal. App. 4th 1365, 1370 (1997). The Court finds that these provisions are unambiguous; however, to the extent there is any ambiguity, the Court construes that ambiguity against Mr. Grosz as the drafter. Section 2.2(e), also state that conversion “may be made contingent upon the closing of the Next Equity Financing,” introducing more ambiguities around Mr. Grosz's interpretation that Section 2.2(c) requires conversion upon his election under Section 2.2(b) and if Toptal had not undergone a Next Equity Financing. The Court declines to interpret the NPA and Note in such a way as to create unnecessary ambiguities. Mayhew v. Benninghoff, Continue Reading . Here About HackerNoon Legal PDF Series: We bring you the most important technical and insightful public domain court case filings. This court case retrieved on October 11, 2023, from is part of the public domain. The court-created documents are works of the federal government, and under copyright law, are automatically placed in the public domain and may be shared without legal restriction. media.licdn.com

Court Maintains Toptal Not in Breach of NPA Or Note by Refusing to Convert the Note to Equity

Redux has gained immense popularity for managing application state in a predictable and maintainable manner. This comprehensive guide walks through the process of implementing Redux in an iOS app, empowering developers to build scalable and efficient applications. From understanding core principles to practical implementation, this guide serves as a robust resource for adopting Redux in iOS development : the core principles - single source of truth, state immutability, and unidirectional data flow, where: Understanding Redux Architecture Store: Define the single source of truth for the application state Actions: Describe events that trigger state changes by reducer and trigger middleware Reducers: Pure functions that handle actions and update the state Middlewares: Interaction with services and side effects and the result of a new action . Create a new iOS project. Initialize the project structure, including folders Core, Flow, MW, Store, Services, where: Setting Up the Project Core for the basic architecture components and all additional general utilities Flow for UI components Views and their Service something like Controller/Presenter/View Model MW for Middlewares, DTO’s Store for Actions, Reducers, State Service for all components that are connected to the outside world something like File Manager/DB/Network/… . At first make protocol for actions and at the same time include reducer. Define actions that represent events triggering state changes. Organize actions into separate files based on functionality. Defining Actions Implementing Reducers. Create reducers that handle actions and update the state immutably. Combine reducers to manage different parts of the state protocol Action {
    associatedtype StateType: Equatable
    func reduce(_ state: inout StateType)
} enum MainAction: Action {
    case user(UserAction)
    
    func reduce(_ state: inout MainState) {
        switch self {
        case let .user(action): action.reduce(&state)
        }
    }
} enum UserAction: Action {
    case getUserData
    case receiveUser(UserModel)
    
    func reduce(_ state: inout MainState) {
        switch self {
        case .getUserData: state.user = .loading
        case let .receiveUser(model): state.user = .result(model)
        }
    }
} . Make base elements and protocol for Middleware. Implement middleware to manage asynchronous actions. And create DTO with mapping to State model Managing Asynchronous Operations struct Box<Act> where Act: Action {
    let run: (@escaping (Act) -> Void) -> Void
    
    init(_ run: @escaping (@escaping (Act) -> Void) -> Void) {
        self.run = run
    }
}

extension Box {
    static func throwTask(
        _ run: @escaping (@escaping (Act) -> Void) async throws -> Void,
        catchError: @escaping (@escaping (Act) -> Void, Error) -> Void = { _, _ in }
    ) -> Self {
        Self { dispatcher in
            Task {
                do {
                    try await run(dispatcher)
                } catch {
                    catchError(dispatcher, error)
                }
            }
        }
    }
}

extension Box {
    static var zero: Self { Self { _ in }}
    
    static func +=(lhs: inout Self, rhs: Self) {
        let tmp = lhs
        lhs = Self { dispatcher in
            tmp.run(dispatcher)
            rhs.run(dispatcher)
        }
    }
} protocol Middleware {
    associatedtype Act where Act: Action
    func run(state: Act.StateType, action: Act) -> Box<Act>
}

extension Middleware {
    var asAnyMiddleware: AnyMiddleware<Act> {
        AnyMiddleware(self.run(state:action:))
    }
} struct AnyMiddleware<Act>: Middleware where Act: Action {
    private let runer: (Act.StateType, Act) -> Box<Act>
    
    init(_ run: @escaping (Act.StateType, Act) -> Box<Act>) {
        self.runer = run
    }
    
    func run(state: Act.StateType, action: Act) -> Box<Act> {
        runer(state, action)
    }
} struct UserMW: Middleware {
    private let net: UserNetProvider
    
    init(net: UserNetProvider) {
        self.net = net
    }
    
    func run(state: MainState, action: MainAction) -> Box<MainAction> {
        switch action {
        case let .user(userAction): return handleUser(state: state.user, action: userAction)
        default: return .zero
        }
    }
    
    func handleUser(state: ModelWrapper<UserModel>, action: UserAction) -> Box<MainAction> {
        switch action {
        case .getUserData: return Box.throwTask { dispatcher in
            let userDTO: UserDTO = try await net.getUserData()
            dispatcher(.user(.receiveUser(userDTO.convert)))
        } catchError: { dispatcher, error in
            // Handle error
        }
        default: return .zero
        }
    }
} struct UserDTO: Decodable {
    let name: String
    let age: Int
    
    var convert: UserModel {
        UserModel(name: name, age: age)
    }
} . Create State and Model wrapper for implementing all states. Create a store to manage the application state. Define the initial state and configure the store. Implementing the Store Of course Store implementation is very simple without corner cases enum ModelWrapper<Model> where Model: Equatable {
    case initialize
    case loading
    case error(Error)
    case result(Model)
}

extension ModelWrapper: Equatable {
    private var equatabeValue: String {
        return switch self {
        case .initialize: "initialize \(String(describing: Model.self))"
        case .loading: "loading \(String(describing: Model.self))"
        case let .error(error): error.localizedDescription
        case let .result(model): String(describing: model)
        }
    }
    
    static func == (lhs: ModelWrapper<Model>, rhs: ModelWrapper<Model>) -> Bool {
        lhs.equatabeValue == rhs.equatabeValue
    }
} struct MainState: Equatable {
    public internal(set) var user: ModelWrapper<UserModel> = .initialize
} struct UserModel: Equatable {
    let name: String
    let age: Int
} actor Store<Act> where Act: Action {
    nonisolated var statePublisher: AnyPublisher<Act.StateType, Never> {
        stateSubject.eraseToAnyPublisher()
    }
    
    private var state: Act.StateType {
        didSet {
            stateSubject.send(state)
        }
    }
    private let stateSubject: CurrentValueSubject<Act.StateType, Never>
    
    private let middlewares: [AnyMiddleware<Act>]
    
    init(initState: Act.StateType, middlewares: [AnyMiddleware<Act>]) {
        self.state = initState
        self.stateSubject = CurrentValueSubject(initState)
        self.middlewares = middlewares
    }
    
    func dispatch(action: Act) {
        var box = Box<Act>.zero
        
        for mw in middlewares {
            box += mw.run(state: state, action: action)
        }
        
        action.reduce(&state)
        
        box.run(dispatch(action:))
    }
} . Integrate Redux with view components to read state from the store. Create simple View with ViewController and dispatch actions to trigger state updates. Connecting Components to Redux class ReduxVC<Act>: UIViewController where Act: Action {
    private let store: Store<Act>
    private var box = Set<AnyCancellable>()
    
    init(store: Store<Act>) {
        self.store = store
        super.init(nibName: nil, bundle: nil)
    }
    
    required init?(coder: NSCoder) {
        fatalError("init(coder:) has not been implemented")
    }
    
    func sink<S: Equatable>(map: KeyPath<Act.StateType, S>, _ sink: @escaping (_ storeState: S) -> Void) {
        store
            .statePublisher
            .map(map)
            .removeDuplicates()
            .receive(on: DispatchQueue.main)
            .sink(receiveValue: sink)
            .store(in: &box)
    }
    
    func dispatch(_ action: Act) {
        Task { await store.dispatch(action: action) }
    }
} final class UserScreenView: UIView {
    
    private let spiner = {
        $0.isHidden = true
        $0.color = .black
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UIActivityIndicatorView(style: .medium))
    
    private let dataView = {
        $0.isHidden = true
        $0.backgroundColor = .lightGray
        $0.clipsToBounds = true
        $0.layer.cornerRadius = 10
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UIView())
    
    private let errorView = {
        $0.isHidden = true
        $0.backgroundColor = .lightGray
        $0.clipsToBounds = true
        $0.layer.cornerRadius = 10
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UIView())
    
    private let nameLabel = {
        $0.font = .systemFont(ofSize: 22, weight: .regular)
        $0.textColor = .black
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UILabel())
    
    private let ageLabel = {
        $0.font = .systemFont(ofSize: 22, weight: .regular)
        $0.textColor = .black
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UILabel())
    
    private let errorLabel = {
        $0.font = .systemFont(ofSize: 22, weight: .regular)
        $0.textColor = .systemRed
        $0.translatesAutoresizingMaskIntoConstraints = false
        return $0
    }(UILabel())
    
    init() {
        super.init(frame: .zero)
        backgroundColor = .white
        
        addSubview(spiner)
        addSubview(dataView)
        dataView.addSubview(nameLabel)
        dataView.addSubview(ageLabel)
        addSubview(errorView)
        errorView.addSubview(errorLabel)
        
        NSLayoutConstraint.activate([
            spiner.centerXAnchor.constraint(equalTo: centerXAnchor),
            spiner.centerYAnchor.constraint(equalTo: centerYAnchor),
            spiner.heightAnchor.constraint(equalToConstant: 30),
            spiner.widthAnchor.constraint(equalToConstant: 30),
            
            dataView.centerXAnchor.constraint(equalTo: centerXAnchor),
            dataView.centerYAnchor.constraint(equalTo: centerYAnchor),
            nameLabel.leadingAnchor.constraint(equalTo: dataView.leadingAnchor, constant: 22),
            nameLabel.trailingAnchor.constraint(equalTo: dataView.trailingAnchor, constant: -22),
            nameLabel.topAnchor.constraint(equalTo: dataView.topAnchor, constant: 22),
            ageLabel.widthAnchor.constraint(equalTo: nameLabel.widthAnchor),
            ageLabel.centerXAnchor.constraint(equalTo: dataView.centerXAnchor),
            ageLabel.topAnchor.constraint(equalTo: nameLabel.bottomAnchor, constant: 22),
            ageLabel.bottomAnchor.constraint(equalTo: dataView.bottomAnchor, constant: -22),
            
            errorView.centerXAnchor.constraint(equalTo: centerXAnchor),
            errorView.centerYAnchor.constraint(equalTo: centerYAnchor),
            errorLabel.leadingAnchor.constraint(equalTo: errorView.leadingAnchor, constant: 22),
            errorLabel.trailingAnchor.constraint(equalTo: errorView.trailingAnchor, constant: -22),
            errorLabel.topAnchor.constraint(equalTo: errorView.topAnchor, constant: 22),
            errorLabel.bottomAnchor.constraint(equalTo: errorView.bottomAnchor, constant: -22)
        ])
    }
    
    required init?(coder: NSCoder) {
        fatalError("init(coder:) has not been implemented")
    }
    
    func loadingData() {
        dataView.isHidden = true
        errorView.isHidden = true
        spiner.isHidden = false
        spiner.startAnimating()
    }
    
    func errorSetup(_ error: String) {
        dataView.isHidden = true
        spiner.isHidden = true
        errorView.isHidden = false
        spiner.stopAnimating()
        
        errorLabel.text = error
    }
    
    func dataSetup(_ model: UserModel) {
        dataView.isHidden = false
        spiner.isHidden = true
        errorView.isHidden = true
        spiner.stopAnimating()
        
        nameLabel.text = model.name
        ageLabel.text = String(model.age)
    }
} final class UserScreenVC: ReduxVC<MainAction> {

    let mainView = UserScreenView()
    
    override func loadView() {
        self.view = mainView
    }
    
    override func viewDidLoad() {
        super.viewDidLoad()
        sink(map: \.user) { [unowned self] state in
            switch state {
            case .initialize: break
            case .loading: mainView.loadingData()
            case let .error(err): mainView.errorSetup(err.localizedDescription)
            case let .result(model): mainView.dataSetup(model)
            }
        }
        
        dispatch(.user(.getUserData))
    }
} And finally assembly all components together into SceneDelegate guard let windowScene = (scene as? UIWindowScene) else { return }

let netProvider = NetProvider()

let store = Store<MainAction>(
    initState: MainState(),
    middlewares: [
        UserMW(net: UserNetProvider(netProvider: netProvider)).asAnyMiddleware
    ]
)

window = UIWindow(frame: UIScreen.main.bounds)
window?.windowScene = windowScene
window?.rootViewController = UserScreenVC(store: store)
window?.makeKeyAndVisible() All structural folders Core, Flow, MW, Store, Services you can separate into separate elements e.g. Frameworks/Swift Packages/Libraries or something like this Conclusion: In conclusion, the adoption of Redux architecture in iOS app development offers a structured, scalable, and efficient approach to managing application state. This comprehensive guide has illuminated the core principles of Redux, emphasizing the importance of a single source of truth, state immutability, and unidirectional data flow. The step-by-step exploration of implementing Redux architecture has covered various key components

Building Testable and Maintainable iOS Apps with Redux

How to Build an End-to-End ML Platform

Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. 1. What is your company in 2–5 words? Learning Operations Software Platform 2. Why is now the time for your company to exist? Cognota is positioned to power LearnOps for all corporate learning & development teams seeking to optimize investments to maximize business impact. With the L&D market projected to grow from $330 billion in 2019 to approximately $490 billion by 2030, there is a significant opportunity for organizations to enhance their learning operations. The increased attention on L&D is compelling leaders to restructure and modernize how corporate L&D functions, aligning it more closely with business objectives, especially in the context of the Great Reset. This presents a timely and vital need for a platform like Cognota that enables L&D teams to streamline their operations, make data-informed decisions, and demonstrate the business impact of their learning programs effectively. 3. What do you love about your team, and why are you the ones to solve this problem? We love our team's dedication, expertise, and passion for empowering corporate learning and development. We are uniquely positioned to solve the challenge of streamlining L&D operations because of our deep understanding of the industry, innovative mindset, and commitment to driving impactful change. Our team thrives on tackling complex issues and transforming traditional approaches into efficient and effective solutions that resonate with the evolving needs of the L&D market. 4. If you weren’t building your startup, what would you be doing? If I weren’t building our startup, I would be traveling the world with my kids and wife, exploring new cultures and experiences together. It would be a wonderful opportunity to create lasting memories and broaden our perspectives as a family. 5. At the moment, how do you measure success? What are your metrics? At present, we measure success based on several key metrics, including: Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients.


User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement.


Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives.


Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem.


Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business.


Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. These metrics collectively provide us with a comprehensive view of our success and guide our efforts to continuously enhance our platform and services. 6. In a few sentences, what do you offer to whom? We offer a comprehensive LearnOps platform to corporate Learning & Development teams, empowering them to streamline operations, make data-driven decisions, measure ROI, and align training initiatives with business objectives efficiently. With Cognota, L&D professionals can optimize their resources, improve collaboration, and demonstrate the impact of their programs on the organization's success. 7. What’s most exciting about your traction to date? The most exciting aspect of our traction to date is witnessing the tangible impact our LearnOps platform has had on corporate Learning & Development teams. Seeing how organizations have streamlined their operations, made data-informed decisions, and demonstrated the ROI of their learning programs using Cognota is incredibly fulfilling. Additionally, the positive feedback and engagement we've received from our growing user base and the #LearnOpsCommunity further validate the value we bring to the L&D industry. 8. Where do you think your growth will be next year? We anticipate significant growth next year, driven by the increasing demand for streamlined learning operations solutions in the corporate sector. As organizations continue to prioritize the alignment of L&D initiatives with business objectives and seek more efficient ways to measure the impact of training programs, we believe our LearnOps platform will be increasingly sought after. With new feature developments, strategic partnerships, and an expanding user base, we expect to see substantial growth in both market presence and customer adoption in the coming year. 9. Tell us about your first paying customer and revenue expectations over the next year. Our first paying customer was ExxonMobil, a global leader in the energy industry. The journey began when I moved from Toronto to New York and then to Houston to pivot from a service company to a software platform, aligning closely with ExxonMobil's evolving needs. Over the course of two years, we worked closely with ExxonMobil to tailor our LearnOps platform to their specific requirements, paving the way for a successful transition to a software-focused business model. Moving forward, we have ambitious revenue expectations over the next year. With a solid foundation in place and a growing reputation in the industry, we anticipate significant revenue growth as we continue to expand our client base, enhance our product offerings, and solidify our position as a leader in the LearnOps space. 10. What’s your biggest threat? As the concept of learning operations gains traction, more players could enter the market with similar solutions. Differentiation and maintaining a competitive edge becomes paramount to overcoming this and we do that through partner licensing, IP investments, the LearnOps.com Community, and accreditation for LearnOps to industry professionals. Staying ahead of emerging trends, continuously innovating our platform, and proactively investing in IP and competitive advantages are crucial in mitigating threats. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. Would you like to take a stab at answering some of these questions? The link for the template is HERE. Welcome to HackerNoon’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. Welcome to HackerNoon ’s Writing Prompts! Would you like to take a stab at answering some of these questions? The link for the template is HERE. HackerNoon The link for the template is HERE. 1. What is your company in 2–5 words? Learning Operations Software Platform 2. Why is now the time for your company to exist? Cognota is positioned to power LearnOps for all corporate learning & development teams seeking to optimize investments to maximize business impact. With the L&D market projected to grow from $330 billion in 2019 to approximately $490 billion by 2030, there is a significant opportunity for organizations to enhance their learning operations. The increased attention on L&D is compelling leaders to restructure and modernize how corporate L&D functions, aligning it more closely with business objectives, especially in the context of the Great Reset. This presents a timely and vital need for a platform like Cognota that enables L&D teams to streamline their operations, make data-informed decisions, and demonstrate the business impact of their learning programs effectively. 3. What do you love about your team, and why are you the ones to solve this problem? We love our team's dedication, expertise, and passion for empowering corporate learning and development. We are uniquely positioned to solve the challenge of streamlining L&D operations because of our deep understanding of the industry, innovative mindset, and commitment to driving impactful change. Our team thrives on tackling complex issues and transforming traditional approaches into efficient and effective solutions that resonate with the evolving needs of the L&D market. 4. If you weren’t building your startup, what would you be doing? If I weren’t building our startup, I would be traveling the world with my kids and wife, exploring new cultures and experiences together. It would be a wonderful opportunity to create lasting memories and broaden our perspectives as a family. 5. At the moment, how do you measure success? What are your metrics? At present, we measure success based on several key metrics, including: Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. Customer Satisfaction: We track customer feedback, reviews, and retention rates to ensure that we are meeting and exceeding the expectations of our clients. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. User Engagement: We monitor user activity within our platform to assess engagement levels and identify areas for improvement. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Business Impact: We analyze the impact of our LearnOps platform on our clients' learning and development initiatives, focusing on metrics such as ROI, efficiency gains, and alignment with business objectives. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Community Growth: We measure the growth and engagement of our #LearnOpsCommunity, tracking member participation, feedback, and the value they derive from being part of our ecosystem. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Revenue Growth: We evaluate our revenue growth trajectory as a key indicator of the financial success and sustainability of our business. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. Financial Performance: We assess our profitability and overall financial health, ensuring that we are strategically managing our resources to drive continued growth and innovation. These metrics collectively provide us with a comprehensive view of our success and guide our efforts to continuously enhance our platform and services. 6. In a few sentences, what do you offer to whom? We offer a comprehensive LearnOps platform to corporate Learning & Development teams, empowering them to streamline operations, make data-driven decisions, measure ROI, and align training initiatives with business objectives efficiently. With Cognota, L&D professionals can optimize their resources, improve collaboration, and demonstrate the impact of their programs on the organization's success. 7. What’s most exciting about your traction to date? The most exciting aspect of our traction to date is witnessing the tangible impact our LearnOps platform has had on corporate Learning & Development teams. Seeing how organizations have streamlined their operations, made data-informed decisions, and demonstrated the ROI of their learning programs using Cognota is incredibly fulfilling. Additionally, the positive feedback and engagement we've received from our growing user base and the #LearnOpsCommunity further validate the value we bring to the L&D industry. 8. Where do you think your growth will be next year? We anticipate significant growth next year, driven by the increasing demand for streamlined learning operations solutions in the corporate sector. As organizations continue to prioritize the alignment of L&D initiatives with business objectives and seek more efficient ways to measure the impact of training programs, we believe our LearnOps platform will be increasingly sought after. With new feature developments, strategic partnerships, and an expanding user base, we expect to see substantial growth in both market presence and customer adoption in the coming year. 9. Tell us about your first paying customer and revenue expectations over the next year. Our first paying customer was ExxonMobil, a global leader in the energy industry. The journey began when I moved from Toronto to New York and then to Houston to pivot from a service company to a software platform, aligning closely with ExxonMobil's evolving needs. Over the course of two years, we worked closely with ExxonMobil to tailor our LearnOps platform to their specific requirements, paving the way for a successful transition to a software-focused business model. Moving forward, we have ambitious revenue expectations over the next year. With a solid foundation in place and a growing reputation in the industry, we anticipate significant revenue growth as we continue to expand our client base, enhance our product offerings, and solidify our position as a leader in the LearnOps space. 10. What’s your biggest threat? As the concept of learning operations gains traction, more players could enter the market with similar solutions. Differentiation and maintaining a competitive edge becomes paramount to overcoming this and we do that through partner licensing, IP investments, the LearnOps.com Community, and accreditation for LearnOps to industry professionals. Staying ahead of emerging trends, continuously innovating our platform, and proactively investing in IP and competitive advantages are crucial in mitigating threats. LearnOps.com This startup founder interview template is based on HackerNoon Founder & CEO David Smooke’s ten questions for startup founders. This startup founder interview template is based on HackerNoon Founder & CEO David Smooke ’s ten questions for startup founders . HackerNoon Founder & CEO David Smooke ten questions for startup founders Would you like to take a stab at answering some of these questions? The link for the template is HERE. Would you like to take a stab at answering some of these questions? The link for the template is HERE. The link for the template is HERE.

MAINTAINX

getmaintainx.com

-- employees

Since n.d.

COMPANY RANKING

MAINTAINX

EVERGREEN INDEX #551

Representing this company? Click here to claim and customize this page!

MaintainX WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

MAINTAINX

getmaintainx.com

-- employees

Since n.d.

COMPANY RANKING

MAINTAINX

EVERGREEN INDEX #551

RELATED COMPANIESRANK

STORIES ABOUT MAINTAINX

Representing this company? Click here to claim and customize this page!

MaintainX WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!