Google Stackdriver Transparent Service Level Indicators (SLIs)
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What is Google Stackdriver Transparent Service Level Indicators (SLIs)
Google Stackdriver Transparent Service Level Indicators (SLIs) refers to Google Cloud’s built-in SLI/SLO measurement approach within its cloud monitoring and reliability tooling (now under Google Cloud Observability, including Cloud Monitoring). It helps SRE and operations teams define and track service level indicators such as availability and latency using telemetry from Google Cloud services and workloads. The capability focuses on making SLI calculations and error-budget style reporting auditable by tying SLI definitions to underlying metrics and queries. It is primarily used by teams operating services on Google Cloud that want standardized SLI/SLO reporting integrated with their monitoring stack.
Native Google Cloud integration
It integrates directly with Google Cloud Monitoring data sources and common Google Cloud services, reducing the need to export telemetry to external systems for basic SLI/SLO tracking. Teams can use existing metrics, logs-derived metrics, and monitoring queries as inputs to SLI definitions. This is useful for organizations standardizing reliability reporting across services already instrumented in Google Cloud.
Auditable SLI definitions
The “transparent” approach emphasizes that SLI computations are based on explicit metric definitions and queries rather than opaque calculations. This makes it easier for engineering teams to review, version, and troubleshoot how an SLI is computed when results look incorrect. It also supports cross-team alignment by making the measurement method inspectable.
SLO and error budget reporting
It supports SLO-style reporting that maps SLIs to objectives and tracks compliance over time. This enables error-budget style operational practices, such as gating releases or prioritizing reliability work based on objective burn. The reporting is most effective when paired with alerting policies and dashboards in the same monitoring environment.
Primarily Google Cloud-centric
The capability is designed around Google Cloud’s monitoring data model and works best for workloads running on Google Cloud. Multi-cloud or on-prem environments may require additional integration work, agents, or data pipelines to achieve comparable coverage. Organizations with heterogeneous observability stacks may find it less portable than vendor-neutral SLO tooling.
Requires SRE measurement maturity
Defining meaningful SLIs and SLOs requires careful selection of metrics, good instrumentation, and agreement on what constitutes “good” service. Teams without established reliability practices may struggle to operationalize error budgets and avoid noisy or misleading objectives. The tooling does not replace the governance and process needed to keep SLOs current.
Limited beyond SLI/SLO scope
Transparent SLIs focus on measuring service levels rather than providing full-stack APM, deep code-level diagnostics, or advanced analytics by themselves. Teams often still need complementary capabilities for tracing, profiling, or incident investigation workflows depending on their requirements. This can lead to additional products or Google Cloud components to cover end-to-end observability.
Plan & Pricing
Pricing model: Pay-as-you-go (Google Cloud Monitoring / Stackdriver Observability)
Free tier/trial: Transparent SLIs are provided as Google Cloud service metrics (serviceruntime/Consumed API metrics) and are classified as non-chargeable Google Cloud metrics (see notes). Cloud Monitoring also provides free usage allotments (first 150 MiB per billing account for metrics charged by bytes ingested).
Example costs (Cloud Monitoring usage-based pricing for chargeable metrics):
- Metrics charged by bytes ingested: $0.2580/ MiB (first 150–100,000 MiB), $0.1510/ MiB (next 100,000–250,000 MiB), $0.0610/ MiB (>250,000 MiB). Note: the first 150 MiB of chargeable metrics per billing account is free.
- Metrics charged by samples (Google Cloud Managed Service for Prometheus): $0.06 / million samples (first 0–50B samples), $0.048 / million samples (next 50–250B), $0.036 / million (next 250–500B), $0.024 / million (>500B).
- Monitoring API read calls: (guidance changed over time) charged by time series returned; write API calls are free.
- Uptime checks: $0.30 / 1,000 executions (1M executions free per project).
- Synthetic monitor executions: $1.20 / 1,000 executions (100 executions free per billing account).
- Alerting (announced to start no sooner than May 1, 2026): $0.10 per month per alert condition; $0.35 per 1,000,000 time series returned by an alerting policy condition.
Free tier / permanent free availability for Transparent SLIs: Available — Transparent SLIs are implemented as Google Cloud (serviceruntime / Consumed API) metrics and are listed by Google as non-chargeable metrics (therefore they do not incur metric-ingestion charges).
Discount options: Volume-tier pricing for metric bytes and samples (tiered rates shown above). No separate paid tiers or seat-based plans for Transparent SLIs — they are part of Cloud Monitoring’s usage-based model.
Notes & important details:
- Transparent SLIs are surfaced in Stackdriver/Cloud Monitoring as "Consumed API" / serviceruntime metrics and are intended to help you compare your app’s view vs Google Cloud services’ behavior. These metrics are documented as Google Cloud metrics and fall into the non-chargeable metrics category.
- Charges can still apply for other Cloud Monitoring features that you use together with Transparent SLIs (for example, if you create chargeable custom metrics, use uptime checks beyond the free allotment, synthetic monitors, or generate billable read API calls).
Seller details
Google LLC
Mountain View, CA, USA
1998
Subsidiary
https://cloud.google.com/deep-learning-vm
https://x.com/googlecloud
https://www.linkedin.com/company/google/
