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dreamfactory

How to Benchmark API Protocols for Microservices

Jul 25, 2025 By Kevin McGahey In DreamFactory
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.
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Service Catalog: The End of API Sprawl

Jul 24, 2025 By Kong In Kong
Introducing Kong's Service Catalog, a powerful feature within the Kong Konnect platform designed to improve the lives of API producers. Learn how you can get a complete, 360-degree overview of your entire service ecosystem, not just the services running behind a Kong gateway. In this demo, you will learn: This tool is essential for platform teams who need to enforce governance and for application teams who need clear visibility into service details and dependencies.
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Debugger in Kong Konnect

Jul 24, 2025 By Kong In Kong
Are you spending too much time trying to track down failing requests or figure out performance issues within your Kong API Gateway? In this quick demo, we show you how to use Konnect's Debugger to save hours of debugging time by rapidly finding the root cause of latency and other issues. You'll learn how Debugger allows you to set up deep tracing sessions for your Kong data planes, collecting OpenTelemetry-compatible traces across the entire request and response lifecycle. We will walk you through a real-world scenario where we diagnose a spike in latency for a specific service.
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kong

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

Jul 24, 2025 By Claudio Acquaviva In Kong
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.
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nodesource

Building Scalable APIs with Node.js and TypeScript

Jul 24, 2025 By Lizz Parody In NodeSource
If you've ever tried building an API with plain JavaScript and found yourself drowning in bugs, weird errors, or spaghetti code, yo, you're not alone. That’s why so many devs are leveling up their backend game by mixing Node.js with TypeScript. It's like going from playing Minecraft in creative mode to building actual skyscrapers: more control, better structure, and way less chaos.
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perforce

Data Automation for Enterprise Innovation: 6 Challenges to Solve

Jul 24, 2025 By Perforce In Perforce
Enterprises like yours manage terabytes to petabytes of data daily. Collecting and storing this massive volume of information is already complex. But the real challenge lies deeper. It's in delivering data effectively, securely, and in ways that empower your teams to innovate. This blog will deep dive into the current state of enterprise data automation and examine the limitations of legacy solutions. Then, we will explore how top-performing organizations approach automation in their industries.
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appsignal

How the Application and Request Contexts Work in Python Flask

Jul 23, 2025 By Federico Trotta In AppSignal
If you have spent some time developing Flask applications, you have probably encountered terms like request, session, current_app, and g. You might even use them daily. But have you ever stopped to think about how Flask makes these seemingly global objects available exactly when you need them, especially in a multi-threaded web server environment? Well, the magic lies in Flask's context system. In this article, you will learn what contexts are in Flask and how to use them with practical examples.
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dreamfactory

How to Automate API Documentation for Enterprise Systems

Jul 23, 2025 By Kevin McGahey In DreamFactory
Automating API documentation can save time, reduce errors, and improve efficiency in enterprise systems. Here's why it matters and how it works: Why It’s Important: APIs are crucial for enterprise operations, but manual documentation often lags behind code updates, leading to errors, delays, and increased support costs. Challenges of Manual Documentation: It’s time-consuming, prone to human error, and pulls developers away from critical tasks.
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