AI-based insights have revolutionized the world of Observability, and it is expected to change the game even further in 2024. Here's how:

Artificial Intelligence (AI) is revolutionizing the way we process and analyze data. In the field of observability, AI-powered insights are proving to be particularly valuable. Moreover, with the rise of cloud-native architectures and microservices, observability has become essential for modern IT operations. 

AI-powered insights can help organizations better understand and manage their complex systems by providing real-time analysis and automated actions based on collected data.

In this article, we will explore how AI-powered insights using GPT-4 can enhance observability and provide valuable insights for IT operations teams. 

The standard approach to Infrastructure monitoring

Infrastructure monitoring has been an essential aspect of IT operations for a long time. The standard approach to infrastructure monitoring involves collecting data from different sources, such as servers, networks, and applications, and analyzing that data to gain insights into the performance and health of the infrastructure and send alerts in case of an issue. 

However, it is no longer the best approach in today’s fast-paced and complex IT environments. 

The massive amounts of data generated by today’s applications and services make it difficult for human operators to identify issues and respond to issues quickly. As a result, IT teams are turning to AI-based insights to gain a better understanding of their infrastructure performance.

AI-based insights have transformed the infrastructure monitoring landscape by providing an intelligent and automated approach to observability. This approach involves using machine learning algorithms to analyze large volumes of data to identify patterns that may indicate potential issues and AI-powered solutions to fix them. 

How AI-based insights can change the Observability space in 2024

AI-based insights have revolutionized the world of DevOps in 2023 and it is expected to change the game even further in 2024. Integrating AI into Ops has enabled automating of various processes, streamlining workflows, and reducing Mean Time to Repair (MTTR). 

With AI-based insights, organizations can leverage smart alerts that can detect and diagnose issues in real time along with their possible solution, enabling IT teams to respond quickly and prevent further disruptions.

By leveraging machine learning algorithms and predictive analytics, AI-based insights can analyze vast amounts of data and identify potential issues before they occur. This helps IT teams to proactively address these issues, reducing the time required to identify and resolve them. 

Furthermore, AI insights can help in root cause analysis, allowing teams to identify the underlying cause of the issue and prevent it from recurring in the future.

What data does Middleware provide as insights using AI automation? 

Middleware has integration with the most powerful AI tool, ChatGPT-4. And using ChatGPT-4, middleware predicts the root cause behind the issue and presents smart solutions to resolve them. 

Here’s what it looks like in action: 

Middleware’s AI-powered insights help:

1. Auto-detect all the logs errors from infrastructure and application to give better solutions within the platform

2. Get a list of all resources which need to be fixed.

AI-powered insights dashboard

3. Application error trace to find the route cause

4. Unify all the vital core issues in the platform

5. Find the solution (recommendation) for each issue with detailed steps.

AI-powered Insights

6. The critical insight of the platform issue and actionable items to fix it.

7. History of error produced and a 360-degree view of your infrastructure and applications

Benefits of adopting AI-powered insights

With Middleware’s AI-based insights, you don’t need to go and look at each service and machine to check issues. MW AI advisor lists all the issues with details like affected resources and detailed solutions so you can make the fix faster. 

Additionally, AI-based insights will help you fix your infrastructure issues before your user get impacted. 

Middleware offers three Categories (critical, medium, and low) that will help you identify and prioritize issues.


With AI-powered insights, IT operations teams can quickly identify and resolve issues, improving system performance, reducing downtime, and enhancing customer experiences. 

Middleware is offering AI-powered insights for free to all its user. So grab the opportunity to give it a try. Sign up now; it’s free.