Supercharging Engineer Productivity with Real World AI

“Logz.io Observability IQ Assistant helps us to find the root cause of the issues faster, and it reduces a lot of the manual processes that we were doing before.”

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job.

He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases. 

TL;DR

Armin and Asaf discuss how AI is rapidly transforming the way we interact with data, and its impact on engineering productivity. Topics include: 

AI Trends and Observability: Despite well-founded concerns about the overhyping of AI and the possibility of security and privacy issues, AI can allow engineers to engage in deep conversations with data and get the right insights needed to remediate environment issues.

Real Use Cases of AI: Instead of sifting through noisy logs manually, a copilot like the IQ Assistant helps filter out irrelevant data and speeds up the process of troubleshooting.

Live Demonstration: 

• See how IQ Assistant lets you chat with your data in real-time to identify top errors and suggest potential mitigation strategies.
• Get a sneak peek of Root Cause Analysis (RCA) a tool that quickly analyzes exceptions, explores related logs, and suggests actions to resolve issues. *Coming Soon*

The Future of AI: What else can AI do for us in the world of observability? What about a model that can predict, based on environmental behavior, issues before they happen? The possibilities are exciting.

AI Trends and Observability

AI’s ability to converse with data marks a significant shift from traditional query-based interactions. Instead of merely asking questions and waiting for answers, engineers can now engage in dynamic conversations with their data, continuously refining queries until they get the precise insights they need.

However, despite the benefits of AI being clear, there’s also the possibility of it becoming overhyped.

“There’s a lot of expectation from generative AI to do a lot of the things that basically it cannot do,” Asaf says. “It’s our job to make sure that it adheres with the mission and it actually addresses what it can do.”

AI models must be appropriately tuned to address specific problems, particularly in complex disciplines like observability. As organizations continue to adopt AI, it’s crucial to manage expectations and ensure that AI is used where it can truly add value.

One of the major concerns with AI, particularly in observability, is data security and privacy. Logz.io recently published a blog that explained our approach to trustworthy observability through AI.

Real Use Cases of AI in Observability

As systems become more complex, traditional observability tools—with their multitude of dashboards and alerts—are no longer sufficient. Generative AI can help by automating the analysis of logs, metrics, and traces, allowing engineers to troubleshoot issues more efficiently.

This is why Logz.io developed the Observability IQ Assistant, a capability we designed to assist teams in diagnosing issues faster and more accurately.

Armin, our customer, was the winner of a recent community contest we held asking Logz.io users to ask the IQ Assistant questions. Here’s a look at his winning chat:

IQ Assistant has transformed the way Armin’s team handles incidents within their data. Instead of sifting through noisy logs manually, IQ Assistant helps filter out irrelevant data and speeds up the process of troubleshooting.

“[IQ Assistant] helps us to find the root cause of the issues faster, and it reduces a lot of the manual processes that we were doing before,” he says. “It basically helps to troubleshoot faster and be more precise.”

Observability IQ Assistant allows you to converse with data in real-time. By asking the AI to identify top errors and suggest potential mitigation strategies, we show how engineers can quickly get to the heart of an issue without manually parsing through logs.

But the innovation doesn’t stop there. Coming soon will be our Root Cause Analysis (RCA). This tool takes the concept of AI-driven observability to the next level by automatically identifying the root cause of issues. The RCA tool can analyze exceptions, explore related logs, and even suggest actions to resolve the problem—all within minutes. 

This feature—which will be available to Logz.io customers soon—promises to save engineers hours of manual work, allowing them to focus on more critical tasks like automation and system optimization. 

See a demo of Observability IQ Assistant and a preview of our upcoming feature RCA in the video at the top of this post.

The Future of AI in Observability

It is hard not to be excited about the potential AI has on the future of observability. Is there a future where:

• AI proactively detects and predicts issues before they occur.
• AI reduces costs by optimizing data storage and improving overall system efficiency.
• AI connects to code repositories like GitHub, allowing for automated configuration changes and pull requests based on AI-driven insights.

Where do you think AI will have the biggest impact on observability? 

“With systems now, you basically have the incident and then you go and check what is the root cause, but I would like to see at some point if we can predict based on the behavior that AI will learn about your company or your system and the logs, that it can be detected and predicted beforehand.”
– Armin Morattab, Senior DevOps Engineer

This could lead to a new era of self-healing systems, where AI not only identifies problems but also takes action to resolve them automatically.

See the Impact AI Can Have on Your Day-to-Day Observability Tasks

Whether you’re already using AI in your workflows or just beginning to explore its potential, now is the time to embrace these innovations and supercharge your engineering productivity.

If you’re interested in trying out the Observability IQ Assistant or participating in the RCA beta, Logz.io encourages you to reach out via email at team@logz.io. Your feedback is invaluable in shaping the future of AI-driven observability.

You can also sign up for a free trial of Logz.io Open 360 to see the AI capabilities in action, as well as the rest of our observability platform.

Stay tuned for more updates as AI continues to transform the landscape of engineering and observability.