HypeFactory is the global cutting-edge Influencer Marketing Agency where performance meets creativity. Being at the forefront of the industry, the agency uses powerful AI technology HypeDetect to create measurable marketing campaigns and find top-performing influencers around the world. By combining creativity with data analytics, HypeFactory ensures that your brand reaches the right audience and resonates with it. Every campaign's execution is seamless and focused on tangible business results. Our clients include Plarium, FunPlus, NetEase Games, Acer, Mastercard, Sandbox, Nexters, Storytel, LoveHoney, Tele2, Vivid and many others. Platforms we work with: Instagram, YouTube, TikTok, Twitch, Twitter To learn more about how we can take your marketing to the next level together, reach out to us: https://hypefactory.com/

HypeFactory

Mobile apps are now a staple in the modern world and are even key for most businesses to operate. Whether a business pushes content solely through an app or uses it to provide additional services, apps are now one of the main ways that we consume content. According to , global app revenues will exceed $935 billion by 2023, due to paid downloads and embedded marketing. Marketers constantly analyse their target audience as well as their marketing strategies in order to find new and effective ways to attract users. The traditional method of marketing apps, through ad banners and blanket advertisements online, is no longer efficient in comparison to new mediums of marketing. Influencer marketing is the perfect tool to replace the traditional ways of marketing and reach audiences more effectively. Statista According to the Mediakix Influencer Marketing 2019, 89% of marketers believe that the ROI from influencer marketing is superior to other promotional tools. The impact of influencers on their subscribers can significantly increase attraction and demand for a brand's product. Survey So, how can developers and publishers use influencer marketing to promote an app? Identify the appropriate format for promotion segment It is important to first identify the most appropriate format and platform for reaching target audiences. Once this is done, an influencer can be used to reach an already established audience in order to promote a product. Reviews Influencers can create a product review of an app to promote its use and key features. By doing this, they can provide an insight into the functionality as well as review it for their audience. This can help to not only gain new users, but to also promote new features to existing users. Let’s plays / Gameplay integration Gaming influencers promoting mobile games can use “Let’s plays” and gameplay videos to show-off games. This is perfect for engaging a target audience as it is more tangible than a targeted ad. For example, to promote Plarium’s Raid: Shadow Legends, recruited a total of 2160 influencers, each with tens of thousands of subscribers to show off the game. Gaming influencer Dude Perfect got over 26 Million views alone for the game and Plarium has had a view count of over 635 million for their games since March 2019. HypeFactory Streaming and online broadcasting of events Streaming and E-Sports championships, such as Fortnite tournaments, attract millions of gamers and viewers to platforms such as Twitch. By marketing with streamers, providers can have a huge amount of interaction with audiences and are guaranteed a great return as there is a great level of viewer trust with streamers. Draw attention to the content or product that can only be found in the app One of the biggest challenges with apps is encouraging people to use them. Whether it’s getting less accustomed audiences to use apps, or building an initial user base, a good way to increase the number of downloads is by moving functionality and content so that it is not available elsewhere. For example, HypeFactory took this approach with getting users onto TikTok from YouTube. For this, it tasked YouTubers to create a few short videos which could only be viewed in full on TikTok. This encouraged the audience to move across to TikTok to see the full content. Test hypotheses and analyze data When planning a campaign, it is important to determine the key parameters for measuring success, and to create forecasts. Marketing campaigns can be divided into two types: performance and image campaigns. For the first type, it is important to evaluate specific data. Here the main indicators of success will be CPM, CPC, CR, CPI or CPA. For the second type, it is important to evaluate the turnover of users, engagement, number of downloads and overall growth of users. App promotion also brings organic uplift: app stores will push apps that have an increase in audience interest and number of downloads etc. leading to more downloads. Work through criticism A well-built influencer campaign will attract target audiences to an app. Some applications use traffic flow for load testing, in-app research, and user behavior mapping. Influencer marketing gives them enough influx to evaluate the app properly. Failing to find a place for complaints or suggestions, a user can always remove the application or express objections in other ways, which can be hard to track. An interesting solution to this is IBM, the company thanks users for complaints and suggestions. They use this to improve products and turn customers into “ambassadors”. Monitor competitors and work on new "features" for improving an application One of the key factors when choosing a bank is the convenience of a mobile application. Fewer people go to branches, preferring to carry out all transactions from their smartphone. This trend can be seen in other industries such as online shopping and signing up for online services. Comments from users and analysing competitors can suggest what functionality is missing. This helps marketers, product managers, and developers with future improvements. An influencer marketing campaign is an incredible way to promote an app. From influencer reviews to demonstrations, it allows developers to grow an app as well as market their brand effectively.

How to Promote Mobile Applications Through Opinion Leaders

Many people run their business on Instagram and want to know about their performance by identifying their business insights. Earlier, people also criticized Insta for not providing any that describe the performance and optimize their posts. analytics tools Then, over time, Instagram launched IG Insights for the people who run their business. However, this has not changed the development of other private applications and online help that these tools provide for the known influences & brands. Maybe you are looking for the best analytics tools in 2020. Are you? This article will provide information regarding the most reliable analytics tools in 2020 for the businessmen who invest their vitality in optimizing their posts to achieve their defined objectives. Why there is Need to Use Instagram Analytics? Every business needs to know about its performance, where millions of Insta profiles are running their business. So, they want to identify who is interested in their posts or who view their adds. Instagram analytics tools help to interpret the stats given by Instagram metrics just like, likes, views, and comments count is a metrics and how fast the growth of your business is analytic. Analytics tools are important who informs you about irrelevant traffic and notifies y'all not to post on non-optimal hours just like other online tools that present you many facilities like is a tool that facilitates Instagrammers by giving an opportunity to download videos and pictures. Gramvio Moreover, Insta down detector presents the news of all the problems regarding IG on time. Following is the list of most reliable Analytics Tools 2020. Let's dive in! 1. Hype auditor This tool presents third-party analytics without any subscription to trace your Insta progress. This platform came out of the hype factory in 2017 when the organization determined to concentrate on its abilities i.e. reports and analytics. Hype auditor presents an accurate audience quality rate and secure service to the influence's by using AI to identify irregular and deception followers. Anyone who gets more than seventy scores should seem satisfied. 2. Pixlee This analytics tool is used to control and observe the post review and suggest reliable ideas further. It has an automatic feature for reporting to display the performance summary every week. You can use this data to identify known personalities of Insta easily & can connect with those who publish regarding your business. From this tool, you can trace the growth of , hashtags, and statistics to find your top-rated content. This company presents Insta Analytics tools and hashtags analytics including a free trial of 14 days. This tool can assist you to generate reports in PDF which can give you perspicacity on metrics like the increase in your audience, photo filters, post engagement score, etc. follower 3. Minter You can also shift your data in the format you want and this thing assists you to hold other known personalities in the loop regarding your Insta marketing accomplishments. This tool is intended for providing solutions for social monitoring and marketing and also tracks your , Insta analytics, & competitors. 4. Iconosquare hashtags From this tool, you can easily schedule and set new posts and keep an eye on what people are saying about your business. The analytics display trends regarding the engagement of your posts and give opinions about your performance. Instagram Insights is an inbuilt analytics tool that will serve for tracking the Insta audience, post engagement, and more but only when you turn your personal account into a business account. 5. Instagram Insights From this tool, you can also compare your actual post with an improved version of the post to verify your accomplishments. This tool is inside an Instagram but you can use this only on your cell phone. Now that you know all about analytics tools, you can now grow your business using the tools you need.

Best Instagram Analytics Tools in 2020

When James Cameron first teased Terminator 2 back in the day, it was through a 90-second teaser that showed an automated robot factory pumping out endless rows of robots, ending with a shot of Arnold as the build process completed. Pure pulp fiction. Or was it? Fast forward to 2024, and we are now entering the era of the hyperfactory, where the main body of cars is autonomously assembled every 76 seconds. No, that’s not a mistype because Xaoimi, the smartphone OEM, has entered the electric vehicle arena with the SU7 and with it, a factory setup that is 91% automated with 400 robots armed with HD cameras and can operate in the dark. It reminds me of the time I spent on stage at the Big Data Expo in China with the chairman of Foxconn, and we debated the merits of running a smartphone factory with the lights off — because who needs lights when it’s just the robots running the show? The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment.
— Warren Bennis Watching the keynote reveal is an eye-opening vision of the future of manufacturing but not in the way you think. “We have 269 welding machines to achieve 100% automated production and have the 36 robots to achieve 0.5 millimeters of assembly precision” “…industry leading seven axis coating robots with 70,000 RPM, it can make the paint coverage extremely fine balanced. This produces a natural flat and smooth finish..” “AMR robots that can replace forklifts/internal transport around the factory…” The best part is that the cars can then drive themselves off the factory line with the autopilot software that the company has introduced. In all, it’s a fascinating look at the future of car manufacturing. But there’s something else to consider. We are looking at the precursor of mass-produced, highly automated robot and drone production, something that I can’t help but compare to that dystopian movie. Because, let’s face it, everything is starting to point towards it. We have major AI players all rushing to give their hyperbolic algorithms some form of physical embodiment to contextually understand the world around them in a new dimension. The idea that military, DARPA, or even startup funding won’t find its way to a hyperfactory of this kind is ludicrous because they’ll be eyeing this up as a way to mass-produce killer drones and robotic tech in the blink of an eye if it means flooding the market with robotic slaves. One of the best (read: accurate) dystopian movies of the future to this day is Elysium by Neill Blomkamp, but even then, his vision of a robotic factory is forcing human labor to manufacture the military machines that take the piss on a daily basis. It just won’t be like that. It’s time to pay close attention to other industries for clues as to how stuff like Terminator or The Matrix could feasibly come true — our hubris in automating the human out of every job role and process will ultimately lead us to a path where automation can be easily retooled and reprogrammed to manufacture something else. And it won’t be a Roomba. When James Cameron first teased Terminator 2 back in the day, it was through a 90-second teaser that showed an automated robot factory pumping out endless rows of robots, ending with a shot of Arnold as the build process completed. Pure pulp fiction. Or was it? Fast forward to 2024, and we are now entering the era of the hyperfactory, where the main body of cars is autonomously assembled every 76 seconds. Fast forward to 2024, and we are now entering the era of the hyperfactory , where the main body of cars is autonomously assembled every 76 seconds. hyperfactory No, that’s not a mistype because Xaoimi, the smartphone OEM, has entered the electric vehicle arena with the SU7 and with it, a factory setup that is 91% automated with 400 robots armed with HD cameras and can operate in the dark. It reminds me of the time I spent on stage at the Big Data Expo in China with the chairman of Foxconn, and we debated the merits of running a smartphone factory with the lights off — because who needs lights when it’s just the robots running the show? It reminds me of the time I spent on stage at the Big Data Expo in China with the chairman of Foxconn, The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. — Warren Bennis The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. The factory of the future will have only two employees, a man and a dog. The man will be there to feed the dog. The dog will be there to keep the man from touching the equipment. — Warren Bennis — Warren Bennis Watching the keynote reveal is an eye-opening vision of the future of manufacturing but not in the way you think. keynote reveal keynote reveal “We have 269 welding machines to achieve 100% automated production and have the 36 robots to achieve 0.5 millimeters of assembly precision” “…industry leading seven axis coating robots with 70,000 RPM, it can make the paint coverage extremely fine balanced. This produces a natural flat and smooth finish..” “AMR robots that can replace forklifts/internal transport around the factory…” The best part is that the cars can then drive themselves off the factory line with the autopilot software that the company has introduced. In all, it’s a fascinating look at the future of car manufacturing. But there’s something else to consider. We are looking at the precursor of mass-produced, highly automated robot and drone production, something that I can’t help but compare to that dystopian movie. We are looking at the precursor of mass-produced, highly automated robot and drone production, something that I can’t help but compare to that dystopian movie. that dystopian movie. Because, let’s face it, everything is starting to point towards it. We have major AI players all rushing to give their hyperbolic algorithms some form of physical embodiment to contextually understand the world around them in a new dimension. The idea that military, DARPA, or even startup funding won’t find its way to a hyperfactory of this kind is ludicrous because they’ll be eyeing this up as a way to mass-produce killer drones and robotic tech in the blink of an eye if it means flooding the market with robotic slaves. The idea that military, DARPA, or even startup funding won’t find its way to a hyperfactory of this kind is ludicrous because they’ll be eyeing this up as a way to mass-produce killer drones and robotic tech in the blink of an eye if it means flooding the market with robotic slaves. One of the best ( read: accurate ) dystopian movies of the future to this day is Elysium by Neill Blomkamp, but even then, his vision of a robotic factory is forcing human labor to manufacture the military machines that take the piss on a daily basis. It just won’t be like that. read: accurate It’s time to pay close attention to other industries for clues as to how stuff like Terminator or The Matrix could feasibly come true — our hubris in automating the human out of every job role and process will ultimately lead us to a path where automation can be easily retooled and reprogrammed to manufacture something else. And it won’t be a Roomba.

Skynet Is Not the One You Should Be Fearing - Fear Your Favourite Car Manufacturer Instead

Kafka is widely used for building event-driven architectures, allowing services to communicate through messages. However, when working with a foreign provider that adds a " " header to messages, you may encounter serialization and deserialization issues. microservices TypeId This article will guide you through the process of configuring a custom type mapper in Spring Kafka to handle the mapping of types between the producer and consumer services. By implementing this approach, you can successfully consume messages with different package structures and types, avoiding exceptions caused by incompatible types and ensuring smooth message processing. Understanding the deserialization Exception with " " Header TypeId In scenarios where the classes used in the consumer service have a different package structure compared to the producer service's DTO classes, the serialization exception can occur due to the mismatched class paths. DTO The serialization process relies on both the producer and the consumer having access to the same class definitions. When the consumer receives a message with a " " header referencing a class that resides in a different package than the consumer's DTO classes, the deserialization process fails to locate the appropriate class definition. This results in the "ClassNotFoundException" or "IllegalArgumentException" within the serialization exception. TypeId These exceptions can disrupt the smooth consumption of messages. Understanding the root cause of this exception is key to effectively handling the situation. An example of the serialization exception is as follows: javaCopy codejava.lang.IllegalStateException: This error handler cannot process 'SerializationException's directly; please consider configuring an 'ErrorHandlingDeserializer' in the value and/or key deserializer
	at org.springframework.kafka.listener.DefaultErrorHandler.handleOtherException(DefaultErrorHandler.java:198) ~[spring-kafka-3.0.7.jar:3.0.7]
Caused by: org.apache.kafka.common.errors.RecordDeserializationException: Error deserializing key/value for partition consumer-test-18 at offset 1. If needed, please seek past the record to continue consumption.
	at org.apache.kafka.clients.consumer.internals.Fetcher.parseRecord(Fetcher.java:1438) ~[kafka-clients-3.4.0.jar:na]
Caused by: java.lang.IllegalArgumentException: The class 'org.example.dto.out.OutMessageImplTwo' is not in the trusted packages: [java.util, java.lang, org.example.dto.in, org.example.dto.in.*]. 
If you believe this class is safe to deserialize, please provide its name. If the serialization is only done by a trusted source, you can also enable trust all (*).
	at org.springframework.kafka.support.mapping.DefaultJackson2JavaTypeMapper.getClassIdType(DefaultJackson2JavaTypeMapper.java:129) ~[spring-kafka-3.0.7.jar:3.0.7] The exception message provides insights into the underlying problem. In this case, the exception occurs because the class is not present in the list of trusted packages. The trusted packages serve as a safeguard to ensure secure deserialization and prevent unauthorized classes from being deserialized. org.example.dto.out.OutMessageImplTwo When deserializing a message, the default behavior of Spring Kafka is to check if the class specified in the "TypeId" header is within the trusted packages. If it is not found, an exception is thrown. This mechanism is in place to protect against potential security risks, as deserializing untrusted classes can lead to code execution vulnerabilities. To resolve this issue, you need to ensure that the consumer can properly map the incoming message to the corresponding class, even if they have different package structures. One approach is to configure a custom type mapper that explicitly handles the type mapping between the " " header and the consumer's DTO classes. TypeId By implementing a custom type mapper, you can instruct the consumer to map the " " header to the appropriate class or even ignore this header. This enables successful deserialization and ensures that the consumer can process the message correctly. TypeId In the upcoming sections, we will delve into the details of configuring and implementing a custom type mapper in Kafka listeners, allowing seamless message processing and addressing the challenges encountered when the consumer's DTO classes differ from those of the producer. Implementation of custom-type mapper In our example, we will send an implementation of OutMessageAbstract to Kafka and will read it as an implementation of the InMessageAbstract class. These classes are absolutely identical, they differ in name and package. The figure below shows the project structure. Our KafkaListener looks like this. It implements the logic for processing each type of message from the topic. @Component
@Log
@KafkaListener(
        topics = "${spring.cloud.stream.bindings.topic-in-0.destination}",
        groupId = "${spring.cloud.stream.bindings.topic-in-0.group}",
        containerFactory = "kafkaListenerContainerFactory")
public class EventListeners {
    @KafkaHandler
    public void handleInMessageImplEvent(@Payload InMessageImpl event) {
        System.out.println(event);
    }

    @KafkaHandler
    public void handleInMessageImplTwoEvent(@Payload InMessageImplTwo event) {
        System.out.println(event);
    }
} We use the kafkaListenerContainerFactory bean to configure our listener. This factory is described in KafkaConsumerConfiguration and looks like this: @Configuration
public class KafkaConsumerConfiguration {
    private final String SERVER;
    private final String SERVER_PORT;

    public KafkaConsumerConfiguration(
            @Value("${spring.cloud.stream.kafka.binder.brokers}") String server,
            @Value("${spring.cloud.stream.kafka.binder.defaultBrokerPort}") String port
    ) {
        this.SERVER = server;
        this.SERVER_PORT = port;
    }

    private <T> ConsumerFactory<String, T> typeConsumerFactory(Class<T> clazz) {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, String.format("%s:%s", SERVER, SERVER_PORT));

        return new DefaultKafkaConsumerFactory<>(
                props,
                new StringDeserializer(),
                new JsonDeserializer<>(clazz));
    }

    private <T> ConcurrentKafkaListenerContainerFactory<String, T> initFactory(Class<T> clazz) {
        ConcurrentKafkaListenerContainerFactory<String, T> factory =
                new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(typeConsumerFactory(clazz));
        return factory;
    }

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, ?> kafkaListenerContainerFactory() {
        return initFactory(InMessageAbstract.class);
    }
} Because we're adding a “Typeld” header to the message, we'll get the error described above when we try to deserialize. However, we can configure the JsonDeserializer manually. To do this, we must define our implementation of TypeMapper. The following shows how you can define your own TypeMappers. class CustomTypeMapper<T> extends DefaultJackson2JavaTypeMapper {
    private final Class<T> clazz;

    public CustomTypeMapper(Class<T> clazz) {
        this.clazz = clazz;
    }

    @Override
    public JavaType toJavaType(Headers headers) {
        try {
            return TypeFactory.defaultInstance()
                    .constructType(ClassUtils.forName(clazz.getName(), getClassLoader()));
        } catch (ClassNotFoundException e) {
            throw new RuntimeException(e);
        }
    }
} If we add our TypeMapper implementation to the JsonDeserializer when we create the factory, then we can force the Json to be deserialized to the class we need, ignoring the header. The corrected method would look like this: private <T> ConsumerFactory<String, T> typeConsumerFactory(Class<T> clazz) {
    Map<String, Object> props = new HashMap<>();
    props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, String.format("%s:%s", SERVER, SERVER_PORT));

    JsonDeserializer<T> jsonDeserializer = new JsonDeserializer<>(clazz);
    jsonDeserializer.setTypeMapper(new CustomTypeMapper<>(clazz));

    return new DefaultKafkaConsumerFactory<>(
            props,
            new StringDeserializer(),
            jsonDeserializer);
} Conclusion By utilizing a custom type mapper in Spring Kafka, you can overcome the challenges associated with consuming messages from foreign providers that include a " " header. This article has provided a step-by-step guide to configuring and implementing the custom type mapper, enabling smooth message processing and avoiding serialization and deserialization exceptions. With this knowledge, you can confidently integrate with external systems and consume Kafka messages with different package structures. TypeId The full project code is available on GitHub: https://github.com/stepanovD/kafka-templates/tree/master/consumer-custom-type-mapper

Handling Custom Type Mapping in Kafka Listeners for Messages with "TypeId" Header

As software engineers, building robust and scalable software solutions is critical to the success of any project. One way to accomplish this is through the use of design patterns, such as the Factory pattern in C#. In this article, I’ll be going over examples of the factory pattern in C# to help demonstrate what it is and how it works. The Factory pattern allows developers to create objects without specifying the exact class of object that will be created. This pattern promotes loose coupling between objects and can enhance the maintainability and scalability of software solutions. By understanding how to use the Factory pattern effectively, software engineers can build stronger and more robust systems. Throughout the article, I’ll cover examples of the Factory pattern, how to use it effectively, and common mistakes to avoid. Let’s dive in! Understanding the Factory Pattern in C# To fully appreciate the Factory pattern, it’s important to understand what design patterns are in the first place. A design pattern is an architectural blueprint for software development that can be used to solve recurring problems across different fields of software engineering. I like to think of them as useful reusable mini language-agnostic frameworks you can apply to different scenarios! The Factory pattern is one of the most fundamental patterns in software engineering. Simply put, the Factory pattern offers a way to instantiate objects in a robust and reliable manner, especially in scenarios where creating an object without knowing the needed class is required. The Factory pattern can come in different types, including Simple Factory, Factory Method, and Abstract Factory. To obtain a clear understanding of how the Factory pattern works, here are some brief examples of how you could use a Factory design pattern: Creating shapes in a drawing application based on the name of the shape and some dimensions Creating game objects within a video game Creating user/role objects within an application with different permission levels Why You Should Use the Factory Pattern in C# The Factory pattern’s goal is to create objects in a way that is independent of both the clients and the objects being produced. Through system-level and application-level factory patterns, the Factory pattern can be implemented in C# to improve software development. There are several reasons why using the Factory pattern in C# can enhance software development. One reason is that it allows for a clear separation of concerns, where components at different levels of the system can be specifically utilized to provide object creation services. The Factory Pattern encapsulates the creation logic of objects within a dedicated class or method. This separation means that the rest of the system does not need to know about the complexities or specifics of object creation. Additionally, with the Factory pattern approach, there is no need to engage in complex and redundant code. This will save you both time and effort and also helps to keep the codebase maintainable. This is especially useful when you need to create the same or similar objects repeatedly. Building a Basic Factory Pattern in C# To gain a grasp of the Factory pattern’s implementation in C#, let’s examine an example of building a basic Factory pattern. The basic Factory Pattern is a design pattern that generally provides a way to create objects without specifying the exact class of the object that will be created. It involves a single method that returns a new instance of a class, often based on input parameters. This pattern is typically used when the creation logic of the objects is not simple, but the types of objects are not numerous and do not form a hierarchy. Otherwise, this variation of the design pattern may not hold up as well. Diving into the Code In this example, let’s say you’re trying to create a report generator and you create a factory called that employs an interface called . Thus, all report generator classes must implement the interface and set up any specific types of constructors required. ReportGeneratorFactory IReportGenerator IReportGenerator public interface IReportGenerator
{
    string GenerateReport();
}

public class XmlReportGenerator : IReportGenerator
{
    public string GenerateReport()
    {
        return "This is an generated Xml Report.";
    }
}

public class CsvReportGenerator : IReportGenerator
{    
    public string GenerateReport()
    {
        return "This is an generated Csv Report.";
    }
}

public class ReportGeneratorFactory
{
    public IReportGenerator GetReportGenerator(string format)
    {
        switch (format.ToLower())
        {
            case "xml":
                return new XmlReportGenerator();
            case "csv":
                return new CsvReportGenerator();
            default:
                throw new ApplicationException("Report format not supported.");
        }
    }
} In this example, the class provides different report generators based on the client’s input, where objects are generated through the method. ReportGeneratorFactory GetReportGenerator Building a Complex Factory Pattern in C# Another way to implement the Factory pattern is to use the Abstract Factory pattern. The Abstract Factory on two levels to supply objects in more objectively complex scenarios. This pattern is used when the system needs to be independent of how its products are created, composed, and represented, and when the family of related product objects is designed to be used together. pattern can create factories Here are the steps to building a complex Factory pattern: Create an abstract class that all factories at the application level will implement. Factory In the abstract class, you can define a method that creates application-specific factories. Factory Each application-specific factory will have its interface that will be used to create each class. Diving into the Code Here is an example of implementing the Abstract Factory pattern in C#: public abstract class Factory
{
    public abstract ILiteratureFactory MakeLiteratureFactory();
}

public interface IBook
{
    string GetGenre();
}

public class FictionBook : IBook
{
    public string GetGenre()
    {
        return "Fiction Book.";
    }
}

public class NonFictionBook : IBook
{
    public string GetGenre()
    {
        return "Non-Fiction Book.";
    }
}

public interface ILiteratureFactory
{
    IBook CreateBook();
}

public class FictionFactory : ILiteratureFactory
{
    public IBook CreateBook()
    {
        return new FictionBook();
    }
}

public class NonFictionFactory : ILiteratureFactory
{
    public IBook CreateBook()
    {
        return new NonFictionBook();
    }
}

public class LiteratureAcademy: Factory
{
    public override ILiteratureFactory MakeLiteratureFactory()
    {
        return new FictionFactory();
    }
} In this example, the program has three classes: , and . These classes utilize the Abstract Factory pattern by inheriting the abstract class. The and classes, being classes that require a literature factory to be instantiated, implemented the interface. The class implemented the method from the class, and the and classes inherit from the abstract . FictionBook NonFictionBook LiteratureAcademy Factory FictionBook NonFictionBook IBook LiteratureAcademy MakeLiteratureFactory() Factory FictionFactory NonFictionFactory ILiteratureFactory This model allows the application to create different items while remaining behind the application-level object factory, providing sufficient object abstractions. Furthermore, this approach promotes simple yet efficient unit testing while offering maintainable and scalable solutions. How to Use the Factory Pattern in C# The Factory pattern provides developers with an alternative way to create object instances without relying on constructors or class implementations. In C#, the Factory pattern can be used to build robust and scalable software solutions. Here, we will look into how to use the Factory pattern in your C# codebase. When using the Factory pattern, you need to define a Factory class that has a common interface or abstract class to create and return objects of the same type. The Factory class can also be extended to include additional logic for creating object instances based on runtime concerns such as licensing, features, platform, etc. Best Practices When Using the Factory Pattern in C# When using the Factory pattern in C#, there are some best practices you should keep in mind. Here are some examples: Use the Factory class to prevent objects from being created directly by construction. Always define an interface or abstract class to be implemented by the object classes. Use an enumeration or a configuration file to define the Factory input parameters. ! Consider if an enum makes sense Also keep in mind that if your factory has an interface and the return type is an interface, this can be especially . If your system under test needs to create new objects as part of the path of execution, a mock can intercept this and return a newly mocked object. helpful when it comes to unit testing Common Mistakes to Avoid When Using the Factory Pattern in C# Even though the Factory pattern is a well-known design pattern, there are still some common mistakes that developers can make when using it in C#. Here are some of the things that developers should avoid: Providing improper input parameters to the Factory. Make sure your API is designed well! Using the Factory pattern for every object creation. This would be . OVERKILL Not using the Factory pattern in conjunction with other design patterns. Just think of or with ! what you could be building with plugins facade design patterns along side this To avoid these situations, you should try to follow some of the best practices when implementing the Factory pattern in C#. Proper input validation and testing should be done to ensure the code is working as intended. But you knew this already… we LIKE testing our code! By using the Factory pattern correctly, developers can create robust and scalable software solutions. Wrapping up Examples of the Factory Pattern in C# In conclusion, the Factory pattern is a useful design pattern for creating software solutions in C#, especially with complex object creation. By using the Factory pattern, developers can improve the flexibility, maintainability, and testability of their codebases. Some of the benefits of using the Factory pattern in C# include: Encapsulation of object creation logic Decoupling of client code and object creation code Increased flexibility in object creation Implementing the Factory pattern in C# not only improves software development in terms of coding efficiency and organization but can also help create more reliable software systems. Remember that not every situation needs a factory pattern, so try and find the sweet spot for where it adds value! If you enjoyed this article, don’t forget to subscribe to my newsletter, Dev Leader Weekly, and follow my YouTube channel for more tips and tricks related to C# and software development. If you’re interested in more learning opportunities, and ! subscribe to my free weekly newsletter check out my YouTube channel Frequently Asked Questions: Examples of the Factory Pattern in C# What are examples of the factory pattern in C#? Examples of the factory pattern in C# include the creation of objects based on a specified set of parameters. For example, creating different types of vehicles such as cars, trucks, and motorcycles using a VehicleFactory. Another example is creating different types of database connections using a DatabaseFactory. What are the benefits of using the factory pattern in C#? The benefits of using the factory pattern in C# include improved code organization and extensibility, increased code reusability, and simplified object creation. It also helps to reduce dependencies between objects and improve overall system flexibility. How do you build a basic factory pattern in C#? To build a basic factory pattern in C#, you need to create a factory class that generates instances of the desired object based on user input. The user input can be a string, an enumeration, or other data type. Then, use the factory method to create the desired object. An example of a basic factory pattern in C# is creating a ShapeFactory that generates different shapes like circles, squares, and triangles. The factory would take in a parameter that tells is what kind of shape to make, and the return value would be the shape. How do you use the factory pattern in C#? To use the factory pattern in C#, you need to create a factory class that generates instances of objects based on user input. Then, call the factory method to create the desired object. You can also use the factory pattern with other design patterns such as the Singleton pattern, Repository pattern, or Strategy pattern. Additionally, it is important to follow best practices when using the factory pattern such as using abstractions instead of concrete classes, abstracting the creation process in a factory interface or abstract class, and using dependency injection to inject the factory class as a dependency. What are common mistakes to avoid when using the factory pattern in C#? Common mistakes to avoid when using the factory pattern in C# include creating unnecessary complexity, violating the open-closed principle, and not using abstractions. It is also important to avoid hard-coding dependencies, not adhering to naming conventions, and not handling exceptions or errors properly. Also appears . here

Understanding the Factory Pattern in C# — With Examples

So you know how to code in general, understand the object-oriented programming, learned C++, and completed at least one Software Development Course (if you're not there yet, these articles aren't for you). You can write software easily if you know at least one programming language, but is your code any good? Could it be done any better? Is it clean (and what on earth does that mean)? Is your architecture any good Should you use a different one? These were some of the questions I've had when I started, and answering them helped me to step up to a professional level. Which is why I have written these series SOLID as a Rock design principle. iskov's ubstitution rinciple in C++ is the second principle in this series which I will discuss here. What about Design Patterns? L S P The code snippets you see throughout this series of articles are simplified not sophisticated. So you often see me not using keywords like override, final, public(while inheritance) just to make code compact & consumable(most of the time) in single standard screen size. I also prefer struct instead of class just to save line by not writing "public:" sometimes and also miss , constructor, , prefix std::, deleting dynamic memory, intentionally. I also consider myself a pragmatic person who wants to convey an idea in the simplest way possible rather than the standard way or using Jargons. virtual destructor copy constructor Note: If you stumbled here directly, then I would suggest you go through first, even if it is trivial. I believe it will encourage you to explore more on this topic. What is design pattern? All of this code you encounter in this series of articles are compiled using C++20(though I have used features up to C++17 in most cases). So if you don't have access to the latest compiler you can use which has preinstalled boost library as well. Modern C++ https://wandbox.org/ Intent Subtypes must be substitutable for their base types without altering the correctness of the program If I address this in the context of C++, this literally means that functions that use pointers/references to base classes must be able to substitute by its derived classes. The Liskov Substitution Principle revolves around ensuring that inheritance is used correctly. Violating the Liskov’s Substitution Principle A great & traditional example illustrating LSP was how sometimes something that sounds right in natural language doesn't quite work in code. In mathematics, a Square is a Rectangle. Indeed it is a specialization of a rectangle. The "IS A" makes you want to model this with inheritance. However if in code you made Square derive from Rectangle, then a Square should be usable anywhere you expect a Rectangle. This makes for some strange behaviour as follows: Rectangle( width, height) : m_width{width}, m_height{height} {} get_width() { m_width; } get_height() { m_height; } { ->m_width = width; } { ->m_height = height; } area() { m_width * m_height; } : m_width, m_height;
}; Rectangle {
    Square( size) : Rectangle(size, size) {} { ->m_width = m_height = width; } { ->m_height = m_width = height; }
}; { w = r.get_width();
    r.set_height( );

    assert((w * ) == r.area()); } {
    Rectangle r{ , };
    process(r);
    Square s{ };
    process(s); EXIT_SUCCESS;
} { struct Rectangle const uint32_t const uint32_t uint32_t const return uint32_t const return virtual void set_width ( width) const uint32_t this virtual void set_height ( height) const uint32_t this uint32_t const return protected uint32_t : struct Square uint32_t override void set_width ( width) const uint32_t this override void set_height ( height) const uint32_t this void process (Rectangle &r) uint32_t 10 10 // Fails for Square <-------------------- int main () 5 5 5 return As you can see above, we have violated Liskovs's Substitution Principle in the void process(Rectangle &r) function. Therefore Square is not a valid substitute of Rectangle. If you see from the design perspective, the very idea of inheriting Square from Rectangle is not a good idea. Because Square does not have height & width, rather it has the size/length of sides. Example of Liskov’s Substitution Principle in C++ Not so good { w = r.get_width();
    r.set_height( ); ( <Square *>(&r) != )
        assert((r.get_width() * r.get_width()) == r.area()); assert((w * ) == r.area());
} void process (Rectangle &r) uint32_t 10 if dynamic_cast nullptr else 10 A common code smell that frequently indicates an LSP violation is the presence of code within a code block that is polymorphic. type checking For instance, if you have a std::for_each loop over a collection of objects of type Foo, and within this loop, there is a check to see if Foo is in fact Bar(a subtype of Foo), then this is almost certainly an LSP violation. Rather you should ensure Bar is in all ways substitutable for Foo, there should be no need to include such a check. An OK way to do it { w = r.get_width();
    r.set_height( ); (r.is_square())
        assert((r.get_width() * r.get_width()) == r.area()); assert((w * ) == r.area());
} void process (Rectangle &r) uint32_t 10 if else 10 No need to create a separate class for Square. Instead, you can simply check for bool flag within the Rectangle class to validate Square property. Though not a recommended way. Use proper inheritance hierarchy = ;
}; Shape {
    Rectangle( width, height) : m_width{width}, m_height{height} {} get_width() { m_width; } get_height() { m_height; } { ->m_width = width; } { ->m_height = height; } area() override { m_width * m_height; } : m_width, m_height;
}; Shape {
    Square( size) : m_size(size) {} { ->m_size = size; } area() override { m_size * m_size; } : m_size;
}; { } { struct Shape uint32_t virtual area () const 0 : struct Rectangle const uint32_t const uint32_t uint32_t const return uint32_t const return virtual void set_width ( width) const uint32_t this virtual void set_height ( height) const uint32_t this uint32_t const return private uint32_t : struct Square uint32_t void set_size ( size) const uint32_t this uint32_t const return private uint32_t void process (Shape &s) // Use polymorphic behaviour only i.e. area() With Factory Pattern Still, creation or change is needed to process Shape, then you should try to use & i.e. . Virtual Constructor Virtual Copy Constructor Factory Pattern ; ;
}; { struct ShapeFactory Shape static CreateRectangle ( width, height) uint32_t uint32_t Shape static CreateSquare ( size) uint32_t Benefits of Liskov’s Substitution Principle => Compatibility It enables the binary compatibility between multiple releases & patches. In other words,  It keeps the client code away from being impacted. => Type Safety It’s the easiest approach to handle type safety with inheritance, as types are not allowed to when inheriting. vary => Maintainability Code that adheres to LSP is loosely dependent on each other & encourages code reusability. Code that adheres to the LSP is code that makes the right abstractions. Yardstick to Craft Liskov’s Substitution Principle Friendly Software in C++ In most introductions to , inheritance discussed as an “IS-A” relationship with the inherited object. However, this is necessary, but not sufficient. It is more appropriate to say that one object can be designed to inherit from another if it always has an “IS-SUBSTITUTABLE-FOR” relationship with the inherited object. object-oriented programming The whole point of using an abstract base class is so that, in the future, you can write a new & insert it into existing, working, tested code. A noble goal, but how to achieve it? First, start with decomposing your problem space — domain. Second, express your contract/interfaces/ in plain English. subclass virtual-methods Closing Notes Don’t get me wrong, I like SOLID and the approaches it promotes. But it’s just a shape of deeper principles lying in its foundation. The examples above made it clear what this principle is striving for i.e. . loose coupling &  ensuring correct inheritance Now, go out there and make your subclasses swappable, and thank for such a useful principle. Dr. Barbara Liskov /!\: Originally published @ www.vishalchovatiya.com . If you haven't gone through my previous articles on design principles, then below is the quick links: SRP -- Single Responsibility Principle OCP -- Open/Closed Principle LSP -- Liskov Substitution Principle ISP -- Interface Segregation Principle DIP -- Dependency Inversion Principle

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