Systems | Development | Analytics | API | Testing

How AI is Revolutionizing Finance Teams (With Real Examples)

The journey from disconnected data silos to self-service automation and predictive visibility is well underway for many finance organizations. But the million-dollar question remains: what’s the actual return on investment from this transformation? Beyond time savings and process improvements, modern finance transformation drives strategic value that directly impacts the bottom line. Adding AI into the mix turbocharges these benefits.

How to Benchmark API Protocols for Microservices

API protocol benchmarking helps you measure and compare the performance of communication protocols like REST, GraphQL, and gRPC in microservices. It’s not just about speed - it’s about finding the protocol that works best for your system under realistic conditions. Benchmarking identifies bottlenecks, helps with scalability, and ensures your architecture performs well under load.

Risk-Based Approach for Regression Testing: A Practical Guide

Software changes fast. Every new update, bug fix, or feature risks breaking something that used to work. That’s why teams rely on regression testing to make sure the old stuff still runs smoothly. But here’s the challenge: you can’t test everything, every time. Regression test suites get large, fast. Running all of them slows teams down. That’s where a risk-based approach for regression testing makes all the difference. Instead of testing everything, you test what matters most.

Manual vs Automated Regression Testing: A Practical Guide

Regression testing is the process of re-running tests to make sure new code changes don’t break what used to work. It acts like a safety net. If your app used to calculate prices correctly, and now it doesn’t because of a new update. Regression tests are what tell you something broke. Now here’s the real question: should you run those tests manually or automate them? That’s where the discussion around manual vs automated regression testing begins.

Integration Testing: A Comprehensive Guide

Integration testing is a critical phase in software development that ensures different components of a system work together as intended. This blog covers the importance of integration testing, its methodologies, and best practices. Learn more about component and integration testing methods, benefits, and challenges.

From Envoy to Consul: Chasing a Latency Spike Across a Globally Distributed Stack

At Koyeb, we run a serverless platform for deploying production-grade applications on high-performance infrastructure—GPUs, CPUs, and accelerators. You push code or containers; we handle everything from build to global deployment, running workloads in secure, lightweight virtual machines on bare-metal servers around the world. One of the core metrics we track is time to HTTP 200: the time between a successful deployment (excluding build) and the moment the app is ready to accept traffic.

How to Build a Single LLM AI Agent with Kong AI Gateway and LangGraph

In my previous post, we discussed how we can implement a basic AI Agent with Kong AI Gateway. In part two of this series, we're going to review LangGraph fundamentals, rewrite the AI Agent and explore how Kong AI Gateway can be used to protect an LLM infrastructure as well as external functions.

What Is A Python Bytestring?

In the programming language, Python, binary data and text are often used when working with files, APIs, data encoding and decoding, and networking. In this article, we are going to answer some of the common questions that arise in this process. Some of which include what bytestrings are, how to convert strings to bytes and vice versa, their differences, and many more. This guide will cover all that is required for you to master bytestrings in Python.

Harnessing AI to save time for Exploratory Testing

Exploratory Testing is one of the most valuable practices in software testing, especially when we want to discover issues that impact user experience. But at the same time, it is also one of the most demanding approaches in terms of time and focus. In a world where product development life cycles are becoming shorter and where QA teams need to ensure faster releases without compromising quality, a question arises: How can we gain time without sacrificing the depth of exploratory tests and their findings?

Koyeb MCP Server: Interact with your Koyeb Resources in Natural Language

Today, we're announcing the Koyeb MCP Server in public beta to let you interact with your Koyeb resources in natural language. Using the Koyeb MCP Server, LLMs and agents can easily discover and leverage Koyeb primitives to: All of this using your favorite AI assistants like Claude, Cursor, Windsurf or any other applications that support the Model Context Protocol.