Systems | Development | Analytics | API | Testing

What is AIOps? Transforming IT Operations with AI

Picture this: It's 3 AM, and your phone erupts with alerts. Within minutes, you're drowning in a tsunami of notifications—hundreds of them—while your company's critical services hang by a thread. Your monitoring dashboard looks like a Christmas tree gone wrong, every light blinking red, and you have no idea where to start. Sound familiar?

AI Agent Is Hitting Your APIs - Are You Ready?

It’s no longer theoretical – artificial intelligence has left research labs and entered production systems, generating a new breed of consumers – autonomous and intelligent agents. These autonomous AI agents are increasingly interacting with real-world APIs (application programming interfaces), which are sets of protocols and tools for building and integrating software applications.

Best DevOps Automation Tools In 2025

Software teams have to move quickly, deliver perfectly, and be able to adapt to changes right away in today’s fast-paced world. The bar is high: regular updates, few bugs, and no downtime. Are you trying to do all of this by hand? That’s a sure way to get burned out and stuck. That’s where automation tools for DevOps come in. These tools don’t want to take our jobs; they want to make us stronger.

Best Practices for Analyzing Logs in Data Pipelines

Analyzing logs in data pipelines is essential for maintaining system performance, troubleshooting errors, and ensuring compliance. Here's what you need to know: Why It Matters: Logs help identify bottlenecks, resolve errors, and optimize performance. They are also critical for audits and compliance. Challenges: High log volume, varying formats, and security risks make analysis complex. Solutions: Standardize log formats with timestamps, log levels, and metadata.

RBAC vs ABAC: API Security Implications

Securing APIs requires managing who can access resources and under what conditions. Two primary models stand out: Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). Here's the key takeaway: RBAC assigns permissions based on predefined roles, making it simple to manage in structured environments. ABAC evaluates multiple real-time attributes for dynamic, granular control, ideal for complex or evolving scenarios.

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

In the last two parts of this series, we discussed How to Strengthen a ReAct AI Agent with Kong AI Gateway and How to Build a Single-LLM AI Agent with Kong AI Gateway and LangGraph. In this third and final part, we're going to evolve the AI Agent with multiple LLMs and Semantic Routing policies across them. In this blog post, we'll also explore new capabilities introduced in Kong AI Gateway 3.11 that support other GenAI infrastructures.

What is an AI Gateway?

Ever wondered what an AI Gateway is? Think of it as an airport for your AI traffic! We break down how an AI Gateway can: Act as a central access point for different AI models. Provide security for your LLM prompts. Route traffic to the best model for the job. Save on AI costs with features like response caching. Learn the basics of this essential tool that helps manage AI and LLM costs, security, and efficiency.

Kong AI Gateway: Prompt Compression

High token consumption from long prompts can degrade model performance and lead to expensive, inefficient LLM operations. This video demonstrates how to solve that problem using Kong's AI Gateway. AI Prompt Compressor Plugin: See how this plugin intelligently compresses incoming prompts before they hit the model. It summarizes context, removes redundant information, and trims excess tokens—all while preserving the original meaning.This could lead to significant cost savings and improved performance.