Systems | Development | Analytics | API | Testing

If you are new to Microfrontends architecture, it’s a modern approach for splitting the frontend of your application into multiple components, so it’s easier to code and manage. We’ve actually got a separate article, introducing the concept, which you can read here. Or, if you’ve already read that introduction and now want to go a step further, just read on.

Organizations are building data lakes and bringing data together from many systems in raw format into these data lakes, hoping to process and extract differentiated value out of this data. However, if you’re trying to get value out of operational data, whether on prem or in the cloud, there are inherent risks and costs associated with moving data from one environment to another.

Microfrontends is a modern front-end architectural approach, by which web applications are segmented (or decomposed) into smaller self-contained units, allowing for easier management and scalability. You can our introduction article to Microfrontends to understand better this architecture approach. Today we’re going to provide a step-by-step guide to the process of building a real-world application using React and Module Federation.

In computing, logging involves maintaining a record of events within a computer system, encompassing issues, errors, or pertinent information about ongoing operations. These events can manifest within the operating system or other software, with each occurrence documented through the creation of a message or log entry. Logging is crucial for comprehending the application's behavior, aiding in the identification of unexpected issues, debugging, or merely monitoring events.

Javascript Object Notation (JSON) is becoming the standard log format, with most modern applications and services taking advantage of its flexibility for their logging needs. However, the great flexibility for developers quickly turns into complexity for the DevOps and Data Engineers responsible for ingesting and processing the logs. That’s why we developed JSON FLEX: a scalable analytics solution for complex, nested JSON data.

In iOS, WebSockets enable real-time communication between a client (an iOS app) and a server. Unlike traditional HTTP connections which are stateless, short-lived and request data on demand, WebSockets use a single long-lived connection to send and receive data simultaneously. This significantly reduces response times which is crucial for apps that rely on instant updates and live data to support functions such as chat and multiplayer games.

On top of their industry-leading cloud infrastructure, Amazon Web Services (AWS) offers more than 15 cloud-based analytics services to satisfy a diverse range of business and IT use cases. For AWS customers, understanding the features and benefits of all 15 AWS analytics services can be a daunting task - not to mention determining which analytics service(s) to deploy for a specific use case.

Let’s start at the very beginning, so it’s clear exactly what we’re talking about here – in Swift, networking is the process of sending and receiving data between an iOS application and a remote server or another device over the internet.

If you’re building for mobile apps, you need Realm in your life. It’s specifically designed for mobile devs and even though it’s available on multiple platforms, it’s typically used to develop iOS apps, using Swift. Built on top of SQLite Realm Swift is a very high-level abstraction layer that simplifies database operations for the developer. Today we’re going to unpack it, with a guide that drills so far down into the subject, it’s practically in Australia.

Core Data enables us to manage the model layer of an Apple application. This layer is a crucial part of our app’s engine room, allowing the pretty bits at the front end to interact with the data and business logic at the back. We love Core Data because it provides a powerful database technology framework, and it’s built on top of the SQLite management system, which requires zero configuration or external storage space.