Logz.io Explore introduces a new paradigm of data interaction

Logz.io’s full-stack observability tackles log management challenges with comprehensive telemetry, and their new User Interface (UI), Explore, aims to tackle the challenges of managing data. In this show, Asaf Yigal, CTO and Co-Founder of Logz.io, highlights advancements in log management and observability, stressing the significance of full-stack observability. He also covers their new UI and how they are harnessing artificial intelligence (AI). On discussing the UI, he says, “It’s lightweight, easier to use, faster, and gives you a lot more functionality.”

The evolution of Logz.io to full-stack observability and the challenges organizations face

• Logz.io evolved from log management to full-stack observability by integrating metrics and distributed tracing. Yigal highlights that logs alone are insufficient for complete observability.
• Observability goes beyond just logs, metrics, and traces, encompassing business impact, security, and cost management. Yigal emphasizes the importance of connecting technical metrics to service level objectives (SLOs).
• Yigal talks about the challenges organizations face with full-stack observability, pointing out that many struggle with integrating observability into their culture and lack clear objectives and metrics.

How Logz.io’s new UI is helping organizations use and manage their data

• The proliferation of data increases costs and complexity for developers. Yigal notes that Logz.io helps by filtering out unused data and optimizing storage to reduce costs and improve troubleshooting.
• Unlike competitors who add features, logz.io emphasizes effective data use and management. Yigal highlights their focus on optimizing data handling to improve resolution times.
• Logz.io’s new UI, Explore, introduces faster performance, a new query language, and generative AI for enhanced user interaction and efficiency in log management.
• Yigal believes Explore is part of a broader shift towards conversational data interaction and centralized, efficient observability solutions.
• Yigal discusses the Open 360 platform stating that it will connect business objectives with technology and enhance data visualization. He highlights why he feels it will be complementary to the Explore UI.

The role of AI observability and future plans for Logz.io

• Yigal talks about the role of AI and generative AI in observability, saying he sees potential in AI for both improving observability and addressing challenges related to AI workloads, including data privacy and cost.
• Cloud observability can add complexity and cost, but Logz.io aims to reduce both. Yigal emphasizes their focus on simplifying observability while cutting costs.
• Logz.io plans to introduce more AI and automation, focusing on insights and reducing reliance on traditional dashboards. Yigal foresees a shift towards more automated and intelligent observability solutions.

Guest: Asaf Yigal (LinkedIn)
Company: Logz.io (Twitter)
Show: Let’s Talk

This summary was written by Emily Nicholls.