Systems | Development | Analytics | API | Testing

The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.

In the competitive landscape of iOS app development, ensuring the quality and functionality of your application is crucial. That’s where automated testing tools come in, enabling developers to streamline their testing processes and deliver robust, bug-free applications. In this comprehensive overview, we dive into the world of automated testing tools for iOS, exploring the top contenders that can revolutionize your testing efforts.

The Apigee API Gateway is a tool that enables the management, analysis, and security of APIs. This API gateway enables organizations to optimize their digital ecosystems and deploy user-friendly products. It is particularly valuable for developers, IT professionals, and SaaS businesses interested in enhancing their API infrastructure, streamlining development workflows, and ensuring secure and seamless connectivity.

One of the main value propositions of the Moesif product is the fact that it works so well with a wide variety of tools. One such tool – Logstash – is an incredibly powerful solution for managing events and logs. Understanding how to pull Logstash logs into Moesif is a critical function for any business utilizing Logstash at scale. Today, we’re going to look at how to log API calls from Logstash using the HTTP Output plugin for import into Moesif.

When WebSockets were first announced in 2011, they had some teething problems. As a result of these teething problems, only the most daring and experimental developers would rely solely on WebSockets for realtime communication. For most of us, it became a necessity to implement a fallback protocol in case the WebSocket connection can’t be established.

We just shared big news about the open-sourcing of our Node.js Runtime and the release of our AI Copilot for Node, both requiring a big role from our infrastructure (Infra) team. They are the team behind the scenes, dedicated to delivering top performance, and have been instrumental in maintaining our reputation for fast, stable, and secure delivery of our SaaS product and Binary Distributions–which generate over 100 million annual downloads a year.

Perhaps the most important part of any monetization strategy is the effective selection of API billing metrics. Billing metrics form the backbone of your monetization strategy, and giving ample thought to what – and how – to monetize will pay long-term dividends both in economic terms as well as management ones. Today, we’re going to look at what API billing metrics actually are, and how they related to your long-term monetization strategy.

The rapid development and deployment of software applications largely rely on the power of APIs. These Application Programming Interfaces act as the glue holding together various components, enabling efficient communication and data exchange between them. From mobile apps to web services and enterprise systems, APIs are ubiquitous, playing a critical role in the seamless functioning of modern software architecture – but its important to take internal API security risks seriously.

When writing tests in Rails, you should avoid repetition and have the right amount of tests to satisfy your use case. This article will introduce you to shoulda-matchers with RSpec for testing functionality in Rails. At the end of the post, you should feel confident about using shoulda-matchers in your Rails application. Let's get going!