Ending the De-Instrumentation Tax: Telemetry Governance and High-Cardinality Control at Scale

Modern cloud-native architectures are creating an observability paradox. Microservices and platforms such as GKE can generate massive volumes of metric dimensions and custom tags, giving engineering teams deeper diagnostic context while simultaneously making telemetry costs harder to predict and control. When those costs escalate, organizations may resort to aggressive sampling, stripping telemetry tags, or asking developers to manually reduce instrumentation, saving money at the expense of visibility.

The alternative is to rethink telemetry as something that can be actively governed. Rather than treating every signal equally or indiscriminately removing data, organizations can shape telemetry according to its actual value: retaining high-value context, removing low-value noise, allocating costs more accurately, and establishing budgets that don’t become bottlenecks for engineering teams. The goal is not simply less telemetry. It’s better telemetry economics without compromising the ability to diagnose what matters.

Join Blend, Cortex XCOR by Palo Alto Networks, and Google Cloud for an intimate virtual roundtable exploring how engineering and platform leaders are taking greater control over their telemetry footprint. Through candid peer discussion, we’ll examine the real cost of high-cardinality data, where traditional sampling falls short, how teams can eliminate observability waste, and what it takes to create a sustainable model for telemetry governance at enterprise scale.