AIOps in Action: Modern API Platform Architecture

Sumit Raj
Aug 31
2 min read

Updated: Aug 31

Introduction

In today’s digital world, organizations rely on complex applications and APIs to deliver seamless experiences. Managing and monitoring these systems can be challenging, especially as the number of APIs and integrations grows. This is where AIOps (Artificial Intelligence for IT Operations) comes in—bringing automation, intelligence, and proactive management to IT operations.

Architecture Overview

Our platform supports over 150 APIs, connecting on-premise applications, cloud services, and SaaS APIs. The architecture is designed for scalability and easy integration with other Azure services.

Key Components

Application Services:

Includes on-premise applications, Azure Function Apps, and Web Apps, all managed through Azure API Management (APIM).

API Management (APIM):

Acts as a gateway, routing requests securely and efficiently to backend services.

Log Analytics & Storage Account:

All logs from Application Gateway, APIM, and backend services are collected centrally for monitoring and analysis.

AIOps Engine:

The heart of the platform, where AI-driven capabilities like error detection, anomaly detection, recommendations, and automated actions are applied to log data.

How AIOps Works

Log Collection:

Every component in the architecture generates logs, which are sent to Azure Log Analytics and Storage Account.

AIOps in Action:

The AIOps Engine analyzes these logs using machine learning and advanced analytics. It detects errors, anomalies, and suspicious activities, and provides recommendations or triggers automated actions.

Proactive & Reactive Operations:

Proactive:

Predict failures before they happen

Recommend preventive maintenance

Alert on unusual API activity

Trigger automated remediation workflows

Auto-scale resources based on usage trends

Reactive:

Detect and diagnose incidents

Provide root cause analysis

Suggest fixes to support teams

Feedback Loop:

Insights and actions from AIOps are provided to DevOps and support teams, enabling continuous improvement and faster resolution of issues.

Scalability & Integration

The architecture is built to scale—supporting more APIs and integrating with additional Azure services as business needs grow. With features like automated actions and predictive analytics, the platform ensures reliability and adaptability for future expansion.

Conclusion

AIOps transforms traditional IT operations by automating monitoring, troubleshooting, and optimization. With this architecture, organizations can proactively manage their API ecosystem, reduce downtime, and deliver a better experience to users and customers.