If you’re into mobile app development, the name of React Native mustn’t be new for you. The term has been trending in the world of technology for quite some time now. Since Facebook formally launched it as an open-source platform, a lot of businesses have already incorporated it into their process.Just like any other origination, React Native comes with its own pros and cons. Despite the fact that professional web developers still prefer working with the native tools, there are a thriving number of budding developers who’re considering React Native for their projects.This post is targeted to highlight the theoretical as well as practical aspects of using React Native in comparison with the Swift. To make this comparison, we have two almost identical apps in both frameworks (please check out details at https://github.com/weblab-technology/swift-honors-app https://github.com/weblab-technology/react-native-honors-app )My objective was to keep these apps as simple as possible so that it would be easier make a fair comparison in between important aspects of both the platforms. Below you will find a detailed analysis of the apps developed in Swift as well as in React Native in terms of CPU, GPU, and memory consumption. So let’s explore! Swift vs React Native Okay, so this app involves Facebook login, Facebook profile recovery, Database recovery, and Tab Bar Controller. I’ve codified the similar app in Swift as well as in React Native and will be using a real device to assess the performance of these apps . My objective is to equate them against each other to observe which one platform performs better. The Swift Unlike other languages, Swift is comparatively easy to work with,...
How much does it cost to get a mobile app developed The easy accessibility of mobile phones has accelerated the growth of mobile applications worldwide. In 2019 alone, over 209 billion app downloads were recorded globally; which is a noteworthy feat in this field. A report by Statista suggests that the number of is slated to touch a whopping 3.8 billion by the end of 2020. It was 2.5 billion just four years ago! These astounding numbers could do wonders in the coming years and might change the face of app development, too. Both small and large businesses have understood the power and importance of to engage their customers and drive sales. However, with the market saturated with freelancing services and mobile development companies, it has become extremely difficult to predict the cost of mobile application development. This is the main reason why small businesses cannot raise the right funds, and why large companies end up paying thousands to build a sub-par product. In this article, we will explore the factors that determine the cost of . We will also break down the factors, features, and methodologies that are involved in the process. If you are a business owner who is planning to develop a mobile application or hoping to rebuild an existing one, this article will offer you some valuable insight and clarity so you can take an organized and informed route. Factors that affect mobile application development cost The cost of mobile application development depends on multiple factors that range from the technology stack you choose to the developers you hire. There is no standard way to...
After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, I noticed two groups of companies. One group has made significant investments (hundreds of millions of dollars) into infrastructure to allow real-time machine learning and has already seen returns on their investments. Another group still wonders if there’s value in real-time ML. There seems to be little consensus on what real-time ML means, and there hasn’t been a lot of in-depth discussion on how it’s done in the industry. In this post, I want to share what I’ve learned after talking to about a dozen companies that are doing it. There are two levels of real-time machine learning that I’ll go over in this post. Level 1: Your ML system makes predictions in real-time (online predictions). Level 2: Your system can incorporate new data and update your model in real-time (incremental learning). I use “model” to refer to the machine learning model and “system” to refer to the infrastructure around it, including data pipeline and monitoring systems. Table of contents …. Level 1: Online predictions – your system can make predictions in real-time …….. Use cases ………… Problems with batch predictions …….. Solutions ………… Fast inference ………… Real-time pipeline ……………. Stream processing vs. batch processing ……………. Event-driven vs. request-driven …….. Challenges …. Level 2: Incremental learning – your system can incorporate new data and update in real-time …….. Defining “incremental learning” …….. Use case …….. Solutions …….. Challenges ………… Theoretical ………… Practical …. The MLOps race between the US and China …. Conclusion Level 1: Online predictions – your system can...
A NSW government-sponsored taskforce of industry leaders has called on federal, state and local governments across Australia to adopt internationally recognised cyber security standards for cloud services. It has also urged governments to more favourably evaluate proposals or tender bids from companies that adopt cyber security and other risk standards for telecommunications and the Internet of Things (IoT). The NSW cyber security standards harmonisation taskforce made the recommendations alongside 22 others in a 16-page report [pdf] released on Thursday. It follows six-months of work by the taskforce – which consists of representatives from across the defence, energy health and financial services sectors – to drive the adoption of standards. The report separates recommendations for standards development and implementation into seven key areas: cloud, defence, education, energy, financial services, health and telco and IoT. The taskforce found that there was generally a myriad of cyber security standards to select from, with some embedded into policy and others not. In the cloud arena, the report urges governments to “adopt and leverage recognised ISO and/or IEC standards as baseline requirements for information security (i.e. ISO/IEC 27000 series)”. Governments looking to introduce new cloud services at a protected level or below should also consider “ISO/IEC 27001, SOC 2 and potentially FedRAMP as part of a uniform security baseline”. ISO/IEC 27000 is a widely-known family of standards used to ensure information assets are secure, whereas FedRamp is a US program providing a standardised approach to cloud security assessments. The report said that standards could be embedded within “any regulatory frameworks or procurement models proposed in relation to cyber security”. Governments have similarly been urged to adopt...
Here’s the list of useful gems to build Ruby on Rails app. This list may help you to start with a new Rails app. I used most of the gems listed below and I only listed the gems that are still maintained. The list I built here is assuming you’re using the latest Ruby on Rails stable version: Ruby 2.6.x Rails 5.2.x or at least Rails 3.2.x version Latest update on September 23, 2018 Usage: To help you quickly build an admin dashboard for your Rails application. Though it’s not as rich as the WordPress admin dashboard, it really saves your time a lot. You can have a complete admin dashboard for your Rails application after installing this gem. Latest update on March 26, 2019 Usage: To help you build registration and sign in feature of your Rails app. Almost all of the Rails projects I am working on always use this gem. It even works nicely with Oauth like allowing the user to sign in or register using their Facebook or Twitter account. Latest update on March 19, 2019 Usage: One of the most of Rails app server I used besides Thin and Unicorn. It supports multiple workers which improve Rails ability to handle more concurrent requests. There is also the gem named puma_worker_killer which will help you to automatically restart one or more Puma clusters based on available max RAM. That gem really helped a lot to handle the increased memory usage after your app run on Puma on several hours. Latest update on January 09, 2019 Usage: Give you an interface between your Ruby on Rails...
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