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The New Stack Podcast

What’s Driving the Rising Cost of Observability?

Jan 30, 2025
Christine Yen, Co-founder and CEO of Honeycomb.io, discusses the rising costs of observability in modern cloud-native systems. She highlights how traditional logging and monitoring tools struggle to cope with today's software complexities, leading to inefficiencies. Yen emphasizes the need for innovative solutions that prioritize user experience, like Service Level Objectives (SLOs). She also explores the role of AI and OpenTelemetry in addressing these challenges, showcasing the potential for enhanced insights in software management.
24:55

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Quick takeaways

  • Traditional observability tools struggle with the complexity and scale of modern cloud-native systems, increasing costs and inefficiencies.
  • The integration of AI in observability presents both opportunities for enhanced insights and challenges with non-deterministic behaviors, necessitating advanced tracking solutions.

Deep dives

Understanding Observability Challenges

Observability has become increasingly crucial yet complex in the realm of cloud-native software development. Three primary categories of tools—logging, monitoring, and Application Performance Monitoring (APM)—each present distinct challenges. Logging tools excel in flexibility but struggle to handle the vast amounts of data in modern systems, making them inefficient for quick answers. Monitoring tools prioritize speed over flexibility, which is problematic in today's dynamic environments that require granular insights, rendering traditional approaches insufficient for effectively managing numerous microservices.

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