In the last six months I have tried several programming languages and frameworks. I have done projects with Django, Laravel, Rails, Vue and React. I loved all of this framework. They are all mature and all do the job. On the other hand, one of these frameworks seduced me a little more than the others … Laravel. Here are the 10 reasons why I sincerely believe that Laravel is great! PHP is awesome! Yes. Those who claim the opposite sorry to say but are ignorant. They ignore that PHP 3.0 has long been obsolete and that PHP 7 is now a complete OOP language, relatively fast, stable and very pleasant to work with. The Laravel framework is precisely built in OOP with the latest PHP standards. Laravel’s syntax is easy, clear, and elegant. With Laravel there is almost no boilerplate code to write. Compared to several other frameworks, Laravel comes with a full starter configuration. Starting a new project is easy and super fast. There are a lot of third party Laravel packages. I also find that the packages are regularly updated and ready for production. The creators of Laravel have created an eco-system of pro products that complements Laravel in a wonderful way. Sure these products have to be paid for but in return they are now ready for full scale production and can save you hundreds of hours of development. With Laravel it is also possible to create fullstack applications, ie backend but also frontend. The code remains executed on the server but certain products like Livewire allow to develop interactive UI like React but in pure...
With over available in leading app stores, it is clear that the mobile app market is flooded. On the other hand, consumers aren’t willing to use any old app. They want only the best ones. These apps have to be beautifully designed, offer friction-less navigation, should be easy to use, and provide value. Various parameters, like compatibility, performance, and functionality, must be thoroughly tested. So yeah, designing and developing a mobile app is no simple task. But above everything else, people are increasingly concerned about privacy and security issues. After the Facebook fiasco, people are anxious about sharing data and personal information. They prefer to use only those apps which are secure. Now, these concerns are more valid than ever. Because of the COVID-19 pandemic, everyone is being forced online. And there has been a significant . People have every right to be more vigilant about what apps are safe to use. However, with the right privacy and security guidelines, you can take your app to the next level. As a developer, here are some of the best practices that you should follow to create more secure apps. 1. Evaluate all open source codes Open source and third-party libraries are changing the app world, helping to speed up development and deployment. Enterprises apps can contain as much as 90% open source codes. Unfortunately, third-party codes have often been the reason behind vulnerabilities, allowing attackers to remotely exploit a system. Open-source apps can be reverse-engineered. So leaving the source code open could put your app at risk. By using new and protected codes, app developers can build an app from...
Security is a vastly complex subject and only the largest organisations can spend a fortune to stop threats in the digital age. So with the world moving online, every CIO has to face a perplexing question – ‘how does one manage risk?’ Risk management is the process of identifying, assessing, and responding to risk. Companies invest in application security, network security, database security, and endpoint security. Each of these security attributes operates in silos and require large IT teams to manage them. Three-year-old Bengaluru-based startup Seconize uses risk management processes to enable organisations to prioritise decisions regarding cybersecurity. Seconize offers a SaaS product – DeRisk Centre – that looks at all the asset types of the company and provides a unified view of the security. The startup was founded by Chethan Anand and Sashank Dara in 2017. The early days Chethan has 23 years of experience in the industry and has an MS (University of Illinois Urbana-Champaign) as well as an executive MBA from IIM-B. Sashank has 18 years of experience and a PhD from IIIT-B. They both were working for Cisco when they met. Chethan was a Senior Product Manager, creating products and taking them to the market, and Sashank was a Technical Leader in the security group. While at Cisco, both began interacting to discuss security-related aspects of some of the products that Chethan was working on. “During our conversations, we realised that companies were getting impacted despite the increase in security spending. These cyber-attacks were getting automated and sophisticated, so companies had to address the problem in a slightly different way, instead of trying to address...
Data Science and Marketing Analytics: The Formula for Better Marketing Data science and marketing analytics play a critical role in understanding your audience and what motivates them to buy so you can develop and execute successful marketing strategies. These technologies enable marketing professionals to gain powerful insights into buyer behavior by leveraging big data. According to Deloitte, “Data science and analytics are driving big shifts in marketing. In fact, the possibilities are unfolding so quickly that new applications for data science-led marketing are emerging nearly as fast as marketers can imagine them.” Marketing analytics is nothing new. How we go about getting the data for those analytics, however, has dramatically changed over the years. In the past, marketers looked at basic sales data and rudimentary data to create their own customer profiles and marketing strategies. They analyzed data mostly manually, inferring all kinds of assumptions based on the best, albeit limited, data they had. Data science wasn’t even a thing. My, how things have changed. Today, we have web analytics, predictive analytics, artificial intelligence and machine learning to not only access big data but crunch the data for us in ways we couldn’t have dreamed of just a decade ago. These technologies help marketers save time and money while building more successful marketing campaigns that reach the right people at the right time on the right channels. Data science and marketing analytics are powerful marketing tools. They used to be a differentiator but have now become table stakes. Marketers who aren’t leveraging these technologies are not only at a major disadvantage, they are likely in danger of becoming completely...
The is often acknowledged as a nebulous umbrella term for a suite of new technologies that will revamp many aspects of the modern web over the next few years. Some endeavors include overhauling core protocols for routing web traffic, while others involve upending the centralized data storage and sharing models that have allowed big tech firms to build vast moats of wealth. In any case, the primary emphasis has been a bold return to the origins of the Internet. Projects are chipping away at the stranglehold of major tech firms and financial intermediaries whose collateral deficiencies continue to surface. The current iteration of the web has drifted away from its decentralized origins. Initially crafted by Tim Berners-Lee to serve an open community of users and developers, the web has been hijacked by major players (e.g., Google, Facebook, Amazon, Apple) to lock-in users and extract value from them. Consequently, abuses of data privacy, security vulnerabilities, and subpar performance have followed suit. But that early vision for a decentralized web never dissipated. Behind grassroots projects in the early 2000s such as Napster, Tor, and BitTorrent was a narrative burrowed deep into Internet user sentiment — a return to decentralization. Unfortunately, many of these projects have been outshined by their centralized counterparts over the years. Wielding user-friendly applications, companies have flourished extracting value from users by building platforms on top of the Internet’s core protocols. Flashy (and free) apps like Facebook herded users into vast closed networks of value capture, effectively launching the modern age of the social media and advertising paradigm. But with all that social interaction and web tracking has...
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