Systems | Development | Analytics | API | Testing

In part one of this series, we walked through how to use Streamlit, Apache Kafka, and Apache Flink to create a live data-driven user interface for a market data application to select a stock (e.g., SPY) and discussed the structure of the app at a high level. First, data with information on stock bid prices is moved via an Alpaca websocket, then, it’s produced to a Kafka topic in Confluent Cloud where it is also processed with Flink SQL.

While many tools exist to build and deploy your no-code APIs, your options are limited when your solution requires a custom or highly bespoke APIs that execute custom logic.

As a developer, you usually work with JSON data, and may need to compare JSON files. This might involve checking a list of products from the database against a previous version or comparing an updated user profile returned by your REST API with the original data sent to the server. In this article, we’ll explore several methods and tools developers can use to compare two JSON files effectively.

In today's rapidly evolving digital landscape, superior software is essential, whether it be the apps on our phones or the intricate systems supporting various business requirements. The process known as Software Testing (ST) has undergone an immense transformation in order to meet this necessity where Artificial intelligence (AI) and machine learning (ML) play a great role in QA solutions.

You've likely heard the term webhook at some point. But what are webhooks? Five key takeaways from What Are Webhooks.

How to use Gemini generative AI models through BigQuery to boost productivity in Google productivity tools like Sheets.

As we move through 2024, early-stage quality assurance methods ensure you meet the changing software development landscape. As a preliminary test phase, smoke testing verifies that the application’s functionalities work as expected after updates or integrations. This article will explain why smoke testing is important, as well as practical applications, examples, and best practices for smoke testing in the early stages of development.

As software applications have evolved over the past two decades, their reach has expanded to various platforms. For instance, desktop applications like Microsoft Office have transitioned to web applications like Office 365, and web applications like Amazon now have companion mobile applications. According to Statista report, global app downloads stood at 257 billion in 2023. The app market is expected to generate $613 billion in revenue by 2025.

While quality assurance (QA) and quality control (QC) are often used interchangeably, they are distinct processes that work together to ensure your software quality meets customer expectations. This article will cover the key similarities and differences between QA and QC.