Observability into Your FinOps: Taking Distributed Tracing Beyond Monitoring
Blog post from Logz.io
Distributed tracing has gained traction as a critical tool for diagnosing performance issues in microservices systems, with a notable increase in adoption as shown by a recent DevOps Pulse survey. While many organizations use tracing for developer purposes, its potential extends significantly into business and FinOps domains by facilitating resource attribution and compliance with data privacy regulations. At the core of distributed tracing is the concept of "trace context," which, through context propagation, allows for comprehensive observability across application services by tracking unique request identifiers. This capability enables detailed monitoring of resource usage, aiding in cost management and capacity planning, especially in multi-tenant SaaS environments. As context propagation becomes a common infrastructure, the transition to a standard practice could be driven by broader organizational stakeholders, amplifying the integration of distributed tracing across various business functions and potentially impacting a company's financial performance.