Systems | Development | Analytics | API | Testing

This is the most fertile time for mobile app development since the launch of the App Store. Our industry is in the grip of several simultaneous revolutions, each of them bending, flexing and moulding to the others. 5G promises to make our apps 10 times faster; wearable technology lets them wrap themselves around our bodies; artificial intelligence enables them to learn from us and get smarter every day. But this torrent of innovation brings challenges, too.

Too many legacy systems. It’s something we hear from government agencies all the time. And you’ve heard this complaint too, no doubt. But the risk-averse nature of government organizations combined with a fear of disruption makes them reluctant to take on a wholesale modernization effort. What if they don’t have to, though? What if there’s a better way?

Serialization and deserialization are two fundamental processes that play a pivotal role in achieving this goal, especially within the context of Node.js. Serialization and deserialization are the unsung heroes behind the scenes, responsible for converting complex data structures into formats that can be easily stored, transmitted, and reconstructed when needed. In Node.js apps where data is at the core of application functionality, a solid understanding of these processes is crucial.

When monetizing APIs, specific ways exist to entice customers to begin using your services. Much of the time, users like to see some value before they commit to becoming a full-blown paid customer. One of the most popular billing providers we see used for API monetization is Stripe, and thankfully, Stripe supports free trial models. Paired with Moesif, you can easily adhere to what model you require to support your API monetization needs.

Commercializing an AI-based product requires turning technology into a marketable product, navigating challenges from development to market entry. Appealing to enterprise buyers is crucial for sustainable, continuous growth, as their interest not only validates your product’s value but also lays the foundation for long-term success and scalability. More specifically, the larger the businesses of your potential customers are, the more of a monopoly your product likely has in the market.

Are you ready to start exploring the world of API development with Django? In this tutorial, we will begin an exploration of how to leverage Django together with the Django REST framework, a robust and versatile framework for creating efficient and scalable APIs. This guide is designed to provide you with a clear and structured approach to Django REST API, ensuring that both beginners and experienced developers can navigate and utilize this powerful tool with ease.

The misconception that product led growth implies a business neglects sales couldn’t be further from the truth. In reality, product led growth (PLG) involves integrating sales later in the customer journey, placing the purchasing power back in the hands of your users. This self-service approach is highly effective, especially when paired with insightful user data to streamline and target growth. For AI-centric companies, this product-led strategy serves as a fundamental pillar for success.

Authenticating WebSocket connections from the browser is a lot trickier than it should be. Cookie authentication isn’t suitable for every app, and the WebSocket browser API makes it impossible to set an Authorization header with a token. It’s actually all a bit of a mess! That is the last thing you want to hear when it comes to security, so I’ve done the research to present this tidy list of methods to send credentials from the browser.

Along with approximately 70,000 other souls from around the globe, the NodeSource team attended Web Summit 2023 earlier this month. Famous for being the largest European tech event (or even the world), Web Summit was full of riveting AI conversations, more than 2,600 startups, and plenty of tasty food trucks and, of course, amazing local cuisine.

Data mesh, it’s one of the hottest data science topics among software engineering teams, data scientists, and anyone interested in building a more effective data infrastructure. This concept is a relatively new model for data management, helping large enterprises scale their data footprint to accelerate digital transformation. Many industries, like retail and banking, see how crucial data is, yet few have mastered ways to harness it. API generation for data mesh is one of the ways you can start.