Systems | Development | Analytics | API | Testing

Orchestrated Service Virtualization: The Definitive Guide

Software development requires a lot of things to be highly optimized due to the sheer number of parts and the interconnected nature of those parts. Making your service seamless, efficient, and scalable requires tooling that is itself seamless, efficient, and scalable. As organizations have moved to adopting microservices and distributed cloud-native solutions, being able to effectively scale resources and the systems which operate upon those resources has been made even more critical.

Predictions 2025: AI as Cybersecurity Tool and Target

Though AI is (still) the hottest technology topic, it’s not the overriding issue for enterprise security in 2025. Advanced AI will open up new attack vectors and also deliver new tools for protecting an organization’s data. But the underlying challenge is the sheer quantity of data that overworked cybersecurity teams face as they try to answer basic questions such as, “Are we under attack?”

EP 5: Data Doesn't Have To Be So Complicated

More data exists than ever before – in fact, IDC predicts worldwide data will grow 61% by 2025. However, simply having data is not enough; business leaders must know how to effectively leverage it to make informed decisions. Conversely, data professionals also need strong business acumen to understand how their insights create value for the organization. Jordan Morrow, known as “The Godfather of Data Literacy,” joins The AI Forecast to share why data has become so complicated and what leaders and data professionals can do to untangle a messy data web for real value.

Top PostgreSQL Database Free Tiers in 2025

Looking for a managed PostgreSQL database with a free tier? We've got you covered. In this article, we'll explore the top PostgreSQL databases with free tiers to use for your applications in 2025. These free-tier options are perfect for side projects, MVPs, and learning how to use cloud databases. All these database solutions integrate with Koyeb, enabling you to seamlessly connect databases hosted by third-party providers to your applications running on the Koyeb platform.

How to Create a Dashboard in Yellowfin: Step-by-Step Guide

Welcome to the final entry in Yellowfin Japan’s long-running ‘How to?’ blog series! This series of blogs has aimed to to provide your team with a step-by-step guide of how to create your own Yellowfin dashboard, starting from the design and data transformation flow, all the way to creating rich data visualizations and using the right report filters.

How Quality Testing Drives Business Growth

Escaped bugs can break more than your code—they can break the bank, too. In this episode of Test Case Scenario, Jason Baum, Evelyn Coleman, and Marcus Merrell break down the connection between software quality and business impact. They talk about how to approach postmortems, why some features matter more than others, and how technical teams can align their work with business goals. You’ll also hear real-life stories of bugs that cost companies millions and learn practical tips for balancing technical needs with business priorities in industries like retail, finance, healthcare, and government.

How Honeybadger migrated from Sidekiq to Karafka

Background tasks are one of the core pillars when considering web applications for scale. The basic idea is simple: A client makes a request to your web application and in handling that request, your app performs several time-expensive tasks. To allow it to respond to the client faster, the app enqueues a background job to a background processing system. The background processing is then tasked with all the heavy lifting, like computations or I/O operations.

Stop Treating Your LLM Like a Database

This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.