Node.js or as commonly called NodeJS, is an open source , cross platform Java Run time environment based Chrome’s V8 JavaScript engine, meant for server-side programming. It allows us to run scripts on server-side to produce dynamic web page content before the page is sent to the user’s web browser. It allows to easily develop networked applications that require back-end functionality with Java-scripts being used on both front-end & back-end. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient. In this tutorial, we will learn to install Node.JS on Ubuntu & CentOS machines. (Recommended Read: – ) Pre-requisites We need to have some packages like ‘gcc, gcc-c++’ installed on our systems. Install them on CentOS using the following command, $ sudo yum install gcc gcc-c++ For Ubuntu, install them using the following command, $ sudo apt-get install build-essential Install NodeJS on Ubuntu We can install either of the two available Node.JS versions i.e. 6 (which has long term support) or 9 (which is the latest version available). For installing Node.JS, we will add the official repositories on our system, use the following command to add the repository, For Node.JS 6, $ curl -sL https://deb.nodesource.com/setup_6.x | sudo -E bash – For Node.JS 9, $ curl -sL https://deb.nodesource.com/setup_9.x | sudo -E bash – Once added, install Node.JS using the following command, $ sudo apt-get install nodejs We can also install Node.JS using the source code, method has been discussed below. Install NodeJS on CentOS On CentOS, we can either install Node.JS from EPEL repository or from official Node.JS repositories. Both methods have been shared below. Using EPEL...
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...
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