The implementation of a startup has specific needs, one of which is the need for the earliest possible entry of the product into the market. This is usually facilitated by a limited budget and the desire of startup owners to present their product to the target audience as soon as possible to take a leading market position. Below we will tell you what technologies and tools will help you with this.
Top 6 Technologies For Building Startups
We have compiled a list of the most worthy technological solutions that will help make the process of working on a startup as efficient as possible.
React
React is a JavaScript framework for creating interfaces in websites, web services, and mobile applications that provide fast development speed. Actually, thanks to this, your startup partners can love it. React is typically used in conjunction with Next.js, a lightweight development environment for static and server-side applications, Node, a server-side framework, and Express.js, a concise web framework for Node.js applications. React has a minimum input threshold and at the same time ensures top-end performance for projects, which means it is ideal for scaling.
Swift And Kotlin
Swift and Kotlin are modern languages for developing mobile applications for iOS and Android platforms, respectively. Both of them can be used with native SDKs, which provide developers with ample opportunities to quickly create application components. Both of these languages evolve constantly and have strong communities, which makes them a great choice for startups that plan to grow and get enriched with new features in the future.
Vue.js
Vue is another modern UI framework that will benefit your startup partnerships. Every part of an app or web page that was built with Vue.js acts as a separate component. This way, developers can reuse components if there is a need. This creates an excellent foundation for projects with a long life cycle, which must constantly change and improve.
MEAN stack
MEAN stack implies a bundle from the MongoDB database, the Express.js backend framework, the Angular.js front-end development environment, and the Node.js backend runtime. All of these tools pair perfectly with one of the trendiest programming languages, JavaScript. Thus, your startup partnership team will be able to use one language to write code for all parts of the project.
RoR stack
Being one of the most used frameworks, Ruby on Rails will be the Holy Grail for those who want to get the most out of startup benefits and build a scalable MVP quickly and on budget. It is an intuitive, flexible stack with a minimal entry threshold that allows developers to focus their main efforts on creating a project rather than learning how to use it. It is also ideal for creating modular applications, parts of which can be reused in the future.
.NET Stack
This stack for C#, F#, and other visual programming languages allows developers to create advanced application solutions using advanced tools such as LINQ, generics, and asynchronous programming. As a result, products get to market faster than many other technology stacks.
Final Thoughts
We hope that now you have an idea of what technologies will be most appropriate when creating a program startup. If you are looking for startup partners who will bring your business idea to life, you can stop your searches for a startup directory – you are already in the right place.
Abdul Aziz Mondol is a professional blogger who is having a colossal interest in writing blogs and other jones of calligraphies. In terms of his professional commitments, he loves to share content related to business, finance, technology, and the gaming niche.
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Worldwide, there has been a sharp increase in the number of mobile application downloads. Organizations aim to increase user engagement for their applications by releasing new features every few weeks to gain a foothold in this market. This increases the pressure on testing organizations to publish thoroughly tested mobile applications to increase user engagement.
To accomplish this, they must have a testing process that not only delivers applications that are free of bugs and function well but also has more thorough coverage. Naturally, automated mobile testing is becoming necessary to satisfy these demands. Automation testing is advantageous for all applications, including web and mobile ones.
Appium is the most widely used automation tool for testing mobile applications out of the many available options. Appium is a free and open-source test automation tool that aids in automating mobile app testing to provide users with a high-quality application and a better user experience.
The use of Appium on LambdaTest for mobile testing will be covered in this article. Before getting there, let's quickly review what mobile testing is and why Appium is utilized for this purpose.
What Is Mobile Testing?
The use of smartphones and mobile technology is growing exponentially. People find it difficult to see their lives without them. Today, we use mobile devices for practically everything, from grocery shopping to viewing films. To survive in the competitive market, mobile app testing has become imperative. Mobile testing guarantees that the apps and smartphones are safe, reliable, and easy to use.
Several tests are conducted on mobile devices to evaluate an application's reliability, functionality, and usability. Mobile testing can be divided into testing of mobile applications and testing of mobile devices. Mobile device testing verifies and validates both the physical components and software aspects of a device to authenticate its quality. It evaluates aspects like the screen, apps, camera, etc. On the other side, mobile application testing is a procedure used to test applications that are being created for mobile devices. The primary goals are to test the apps' usability, stability, and functioning. It makes sure that the chosen application, in terms of connectivity, hardware, and software, is compatible with the chosen device.
For an app to survive in the market today, mobile application testing is essential. The application is also tested in numerous other areas, such as its performance, security, and UI, to provide the best quality for the end users
Types Of Mobile Apps
There are three primary categories of mobile applications:
Native mobile apps
Native applications are platform-specific. In other words, they were created for a particular platform or operating system. It may be a Windows SDK, Android SDK, or iOS SDK. They have the extra benefit of being faster and more dependable in terms of performance because they concentrate on a single OS, but they are expensive to maintain. Such programs include Skype, Google Maps, and Snapchat, for instance.
Mobile Web Applications
Only mobile browsers are compatible with mobile web applications. They are accessible through mobile web browsers like Chrome and Safari. They are created using web-based languages like HTML, CSS, and JavaScript. Additionally, it is inexpensive and does not need users to install or update it. These include websites like AliExpress, OLX, Flipkart, etc.
Hybrid Mobile Applications
Native and web-based mobile apps are combined to create hybrid mobile apps. They can operate through browsers but can also be installed on native application devices. These apps are easy to create and affordable, but they lack the speed and power of native apps. These include services like Instagram, Uber, Gmail, etc.
Now to test these apps many testers and developers leverage automation test tools like Appium. Let's quickly define what Appium is.
Appium
Appium is a free, open-source, cross-platform test automation tool that uses the common WebDriver library to automate test cases for web, native, and hybrid applications. It primarily focuses on testing mobile applications while utilizing the same API across several mobile operating systems, such as Android and iOS.
The most popular mobile testing tool, Appium, offers simplicity, flexibility, and cost-friendliness for delivering the best user experiences with the continuous delivery method. It is used for quick and reliable testing across numerous platforms and devices.
Numerous programming languages, including Java, JavaScript, Python, PHP, Ruby, C#, etc., are supported by Appium. This gives testers the freedom to create test scripts in any programming language they choose. With its many features, mobile testing with Appium has quickly become popular in the mobile application organization.
Why Use Appium
Appium continues to be the top option for mobile app testing, regardless of whether the application is native, hybrid, or mobile and operating on Android, iOS, or Windows. By providing scalability and flexibility, Appium significantly improves the effectiveness of testing for mobile apps. It stands out as the best possible choice for testing mobile applications due to its broad feature set. Let's examine a few of its attributes.
It allows for the flexibility to write test code in a variety of programming languages, including Java, JavaScript, PHP, Ruby, Python, and C#, and it can automate any mobile application created in any of these languages.
Appium allows test automation scripts to run simultaneously on various Android or iOS sessions. This ensures scalability while accelerating the testing process.
It has a built-in UI Automator that enables thorough examination of mobile apps while producing thorough logs and reporting structures for a better understanding of test results and enhanced troubleshooting.
Appium offers the reuse of the same code for many device platforms, including iOS, Android, and Windows, which saves a significant amount of time and work.
It provides versatility in allowing users to select their testing environment and device by allowing testing of mobile applications on emulators, simulators, and real devices in the cloud.
It provides cross-platform compatibility, making it possible for the same tests to run on many platforms, expanding the coverage.
It provides real-time test monitoring that enables collaborators to see and share device interactions using the integrated collaborative screen-casting capability, thus strengthening the execution of tests.
Appium smoothly integrates with the TestNG testing framework, providing a greater number of capabilities.
Through test scripts, it gives QAs complete access to the databases and back-end APIs. This aids in evaluating errors that originate from databases or back-end APIs.
Why Use Lambdatest For Appium Tests?
As is already known, Appium enables the testing of mobile applications on emulators and simulators. However, keep in mind that emulators and simulators are completely insufficient for testing at the final stage. They are unable to duplicate several device features that are required to optimize the app for unfavorable events, such as low power, unstable network, IP geolocation, and many more.
Therefore, executing Appium tests on real device cloud is essential to provide conclusive, accurate results, make an app suited for working in actual user conditions, and ensure that the user experience is always at its best.
However, it is highly challenging and expensive to set up an internal device lab that must be regularly updated and maintained for both the newest and older versions. Therefore, using a cloud-based testing platform like LambdaTest is recommended because it makes thousands of real devices instantly accessible for testing.
Appium and LambdaTest, an AI-powered test orchestration and execution platform, can work together seamlessly. As a result, testers can scale their existing testing across several platforms and develop, run, and analyze their test automation with Appium on LambdaTest's real device cloud. Additionally, QAs can use Appium on the LambadTest real device cloud to do manual and automated app testing.
LambdaTest enables testers to run Appium tests by offering online cloud-based access to more than 3000 real devices, browsers, and operating system combinations online. As a result, testers may meet deadlines more quickly and with less setup time.
The Appium automation testing on LambdaTest can assist with:
Simplify the entire CI/CD process, make it simple to write reliable Appium scripts, and minimize the complexity of test frameworks.
Support numerous mobile devices for parallel testing to speed up test execution and guarantee the best app performance across a range of devices, networks, and geographical regions.
Test apps on actual remote devices in real-world conditions to speed up development and quickly find and fix major flaws.
Additionally, LambdaTest offers a wide variety of advanced features that facilitate easy-to-use, effective testing. Here are a few of these features:
It has an inbuilt mobile inspector that makes it simple for testers to check the components of an app. Additionally, it enables them to record their test procedures from the same location.
It enables seamless integration with well-known technologies like Circle CI, Jenkins, Bamboo, and others to speed up DevOps and continuous delivery workflows.
Gives testers access to a variety of debugging tools for Appium testing, including text logs, network logs, device logs, Appium logs, extensive reports, and accompanying screenshots and videos for both successful test execution and complete test failure.
The test cases execution metrics reports can be retrieved whenever necessary from anywhere. This helps to support all remote team workflows.
A mobile app can now be developed utilizing a variety of technologies and programming languages. Thus, another fantastic benefit of using LambdaTest is that it covers all of the key technologies and programming languages required to support a particular set of development practices.
Furthermore, with LambdaTest, testers can benefit from manual cross-browser testing, automation testing, visual user interface testing, responsive testing, manual app testing, geolocation testing, and more, all with lifetime free access to LambdaTest.
The Prerequisites To Use Appium
There are a few prerequisites that must be installed on the system before automating apps with Appium.
Downloading and installing the JDK (Java Development Kit) and the Appium Desktop/Server.
Installing, and configuring the environment variable for Java.
Installing the Android Software Development Kit (SDK) after downloading it.
JAR file for Selenium Server.
Setting up the Eclipse IDE.
Having access to Google Play's APK app information.
js installation is not necessary. Because "Node.exe" and NPM are included by default whenever the Appium server is installed.
Integrating Appium With Lambdatest
LambdaTest integration with Appium is necessary to utilize Appium testing fully. The following actions are necessary for the integration process:
Visiting LambdaTest and creating an account.
Acquiring the API credentials needed for Appium integration. The credentials will facilitate linking the LambdaTest cloud infrastructure and the Appium tests.
Next, setting up and specifying the desired capabilities in the Appium tests to specify the device, operating system, browser, and any other essential factors that create the intended test environment and guarantee that tests are executed on the desired devices in the cloud. These configuration variables specify test environments and guarantee the smooth operation of the tests in such environments.
The next step is configuring the test execution by including the appropriate capabilities and the LambdaTest endpoint URL in the Appium test script. By doing so, the platform and the Appium tests will be connected.
Finally, run the Appium tests and keep track of their progress on the LambdaTest dashboard. The test results can then be analyzed to find any problems that require attention by examining the test reports, logs, and screenshots.
Conclusion
It may be concluded that due to Appium's cross-platform capability and simplicity of use, it has grown to be widely utilized in testing mobile applications for iOS and Android to meet the expectations of quick and dependable testing that spans numerous platforms, devices, and versions.
In comparison to alternative testing techniques, Appium offers greater efficiency, flexibility, and cost-friendliness, empowering teams to deliver excellent user experiences while utilizing the continuous delivery methodology.
It is advantageous to use Appium with a cloud testing platform like LambdaTest because it gives users access to automated test environments with cloud-hosted real mobile devices that are simple to use. The testing process is made more easy by having access to the vast array of functions offered by the cloud.
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The best routers are always the best option to get secure network connectivity. In 2021 the wireless routers are coming in many varieties and brands. The wireless features are always the best-required features of the routers. As in the modern generations, every gadget needs internet connectivity, software, and applications are becoming the essential part of every gadget.
When you search for the best internet connection provider, the ISP’s names instantly come into your mind. For subscribing to the best ISP. You have to research for days on the internet near me. But after the subscription, if you do not have a good conditioning router. The internet connectivity is lacking the perfection level.
4 Best Wi-Fi Routers In 2021
These types of trouble for routers are common. There is only a single solution to recover the problem is to upgrade your home network. You have to configure a family value device in the network and provide it without the dead spot.
Let’s have a look at the top four best wireless routers for 2021.
1. Compatibale TP-Link Archer AX600
In 2021 not only the roust feature routers are making the difference. Along with the features and the looks, the router’s compatibility issues are always playing significant roles. You are going through many devices features and, at last, can not fix your mind over the product for the compatibility issues.
In the 2021 WIFI, six is the modern and the fastest iteration of Wi-Fi. So you should constantly shift into the Wi-Fi 6 routers. These router’s options are more compatible with smartphones and the iPhone SE. For higher configuration smartphones, you are going to need a more backward compatible connectivity. Your polder gadgets are getting faster when you are using this latest wireless router.
Are you searching for the routers options which give you the maximum transmission speed with the highest range and the lowest latency level? Then take a look at the TP-Link Archer AX6000. And we can guarantee this has the most significant good report from the consumer’s feedback.
2. Budget-Friendly D-Link DIR-867
The next which comes to our popularity list is the D-Link DIR-867.iF you are searching for new wireless well-performing routers. But you have a limited budget. This router option is the best suitable for your choice. The DIR-86 7 is still the best router out of all routers we reviewed. When you are going to compare the work efficiency level and the budget of the routers, you are also going to agree with us.
This router is an outstanding performer for both the qualifying parameters, the high-performance, and the real-world range checks. Moreover, you can enjoy the clock with the highest mean download rates in the 2.4GHz frequency spectrum, which is faster than the other routers.
Even this router owned the 5GHz channel, which is quite a unique feature for any budget-friendly router. And you can see these features here and enjoy faster connectivity without spending a big budget.
3. High Performing Google Wi-Fi
Google Wifi is one of the high performer routers on the list. When you are looking for the mesh router choices, these choices are coming to the top priority list of the users. This powerful, well-performing router is maintaining its standard for the past few years.
The easy configuration part and the speedy connectivity both make these routers competitive. These routers are performing on the basis of the second genre follow-up. The routers are faster and widely used for mesh networking connectivity. The ranges extending features are making the routers unique and attractive for smart speaker users. The attractive features of the routers are you can do the experiment with multiple colors.
It does not support Wi-Fi 6.some of the new cool features are not added to the packages. For example, the package does not include modern WPA3 protection and 4X4 MU-MIMO connections requirements.
4. The Gamers Choice Asus RT-AC86U
For the game enthusiast, faster and robust connectivity is always required. This router choice is pretty tempting for professional gamers. However, when you often find an excellent compatible gaming router for your use, the pocket pinch is very high. Within $200, the router’s choices are very limited. But this 5GHz band Wi-Fi 5 router, the RT-AC86U dual-band router, is the outstanding performer on both ends. You will get a higher connectivity level within the $150 budget.
This is one of the best latency check gaming routers in the market. The lower average ping for hundreds of speed tests makes the router unconditionally well-performing and prioritizes the gamer’s choices. This router is wifi six compatible. You will get many well-performing sophisticated network settings within your package.
Among the dual-band router choices, very few are available within this budget and the features. This is the reason this router is widely prevalent among gamers.
Bottom Line
When you are looking for the best wireless routers often have certain essential features. According to the features and the compatibility issues, the prices and the functionality of the routers will be different. The main target is to get the network connectivity without interruptions. These four are the best available choices for you within your budget.
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Fax Over the Internet
The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures.
As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines.
Process Mining in Business Process Management – A Brief Overview
Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes.
Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities.
Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security.
The Importance of Data Security in Process Mining
Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets:
Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers.
Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code.
Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies.
Insensitive attributes: These datasets contain general or non-risky information not covered by the other features.
Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships.
But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers.
Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements.
On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches.
Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams.
Key Privacy Metrics in Process Mining
In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads:
Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information.
Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access.
Protected from disclosure: Data confidentiality is observed during data mining using the classification method.
Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope.
Process Mining and Data Capture – Key Points to Consider
Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points.
Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research.
Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on.
Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data.
Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers.
Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data.
Conclusion
Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value.
However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining.
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