Because the underlying production of telemetry keeps expanding. New services, tags, retries, and instrumentation create more data than the organisation governs, so cheaper storage or a different vendor only shifts the problem. Cost falls only when teams reduce volume, limit cardinality, and control what is emitted before it becomes billable.
Why telemetry bills rise even when the infrastructure gets cheaper
Telemetry cost usually grows for the same reason the bill keeps climbing after a storage or vendor change: the data stream itself is expanding faster than the control plane around it. More services emit more events, retries duplicate signals, high-cardinality tags multiply series, and “just in case” instrumentation widens the firehose. Storage price changes do not correct that upstream growth.
What actually drives the bill: volume, cardinality, and duplication
Telemetry spend is not just a storage problem. It is a production problem, because the organisation pays for ingest, retention, indexing, query load, and sometimes egress or vendor-specific processing before a signal becomes useful.
Volume rises when every service, environment, and feature flag adds more events. Cardinality rises when labels such as user IDs, request IDs, pod names, or dynamic tags create many near-unique time series. Duplication rises when retries, fan-out, and overlapping agents or libraries emit the same facts more than once. NIST Cybersecurity Framework 2.0 is relevant here because the control question is not only where data lands, but whether the organisation governs what is produced in the first place.
Switching vendors often changes the pricing model, not the telemetry behaviour. If the application continues to emit uncontrolled data, a cheaper platform only delays the next increase. The real lever is reducing the amount of information that is generated, labelled, and retained.
Why storage optimization alone cannot fix telemetry growth
Storage optimisation helps when the problem is retention efficiency, compression, or data tiering. It does not solve excessive signal production. If the application emits ten times more events, a more efficient backend still has to ingest and process those events, and that cost usually scales with volume.
The practical limit is governed by upstream discipline: sampling decisions, log level policy, metric design, tag hygiene, and instrumentation review. Teams often discover that the most expensive telemetry is not the highest-value telemetry, but the noisiest telemetry. That is why controls focused on least-necessary emission matter as much as platform choice.
For identity and access-heavy environments, telemetry can also grow because every new credential path, automation job, or service integration adds more authentication, authorization, and audit signals. NIST SP 800-53 Rev 5 Security and Privacy Controls is relevant where organisations need to align audit and monitoring obligations with the actual control objective, not merely store more records.
Risk and Threat Considerations
Uncontrolled telemetry growth creates both cost risk and security risk. High-cardinality fields, duplicated events, and overly verbose payloads can expose sensitive data, overwhelm detection pipelines, and make meaningful signals harder to find. In practice, the same sprawl that raises spend can also weaken monitoring quality.
Failure mechanism: Teams instrument first and govern later, so each new service, retry path, or tag adds billable data faster than budgets, retention rules, or review processes can constrain it. The result is a noisy telemetry estate where signal quality degrades as volume rises.
Impact: Organisations pay more while seeing less. Detection workflows slow down, storage and indexing costs compound, and teams become tempted to drop useful telemetry wholesale rather than trim low-value emission at the source.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0, NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, while ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 — Organizational Context | Telemetry sprawl is a governance and cost-control issue across services and teams. |
| Recommendation — Define telemetry objectives and limits so data collection serves operational and security needs. | ||
| NIST SP 800-53 Rev 5 | AU-6 — Audit Review, Analysis, and Reporting | Telemetry is often collected for audit, detection, and review, which must be tuned for value. |
| AU-12 — Audit Record Generation | The question centers on how much telemetry should be generated upstream, not just stored downstream. | |
| Recommendation — Tune audit and telemetry output to preserve useful records while reducing low-value volume. Control which events are generated so only necessary telemetry becomes billable. | ||
| CIS Controls v8 | CIS-8 — Audit Log Management | Telemetry cost and quality depend on log collection, retention, and filtering decisions. |
| Recommendation — Set log collection and retention rules that reduce noise without losing security visibility. | ||
| ISO/IEC 27001:2022 | A.8.15 — Logging | Telemetry growth is directly governed by logging design, volume, and retention controls. |
| Recommendation — Apply logging controls that limit unnecessary telemetry and preserve required evidence. | ||
Practitioner Guidance
What to prioritise: Treat telemetry as a production output that needs design limits. Start with the sources that create the most volume or the highest-cardinality labels, then review whether each signal is required for detection, debugging, compliance, or operations.
Decision rule: If a field does not help answer a real operational or security question, do not emit it by default. If a metric or log line is only useful at rare times, consider sampling, conditional capture, or shorter retention rather than full-time collection.
What to verify: Confirm whether the team can name the top cost drivers by service, field, and environment. If not, the organisation is probably managing telemetry by vendor bill rather than by source discipline.
Practitioner takeaway: Lowering telemetry cost is mostly an engineering governance problem, not a procurement problem, and the durable fix is to reduce unnecessary emission before it becomes billable.
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Reviewed and updated by the NHIMG editorial team on October 12, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org