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Why Synthetic Tracing Delivers Better Data, Not Just More Data

Summary

This article introduces synthetic tracing as a cost-effective and proactive alternative to traditional APM's 'instrument everything' approach. Instead of capturing every real user interaction, synthetic tracing uses controlled, continuous test transactions to simulate user journeys, providing clean, predictable data and immediate alerts for issues. This method helps reduce observability costs, eliminate data noise, and proactively detect problems across the entire internet stack, making it particularly beneficial for Tier-2 and Tier-3 applications, and a valuable complement even for critical Tier-1 systems.

Why It Matters

A technical IT operations leader should read this article because it offers a compelling solution to the escalating costs and data overload often associated with traditional APM and distributed tracing. By understanding how synthetic tracing provides better, more targeted data and proactive monitoring, leaders can optimize their observability strategies, reduce operational expenses, and improve incident detection and resolution times. This approach allows for more efficient resource allocation and ensures critical user journeys are continuously validated without the prohibitive costs of tracing every single interaction, ultimately leading to more resilient and cost-effective IT operations.