Observability Cost Out of Control
Blog post from Dash0
Datadog's revelation of Coinbase's $65 million annual observability expenditure has highlighted the challenges organizations face with the escalating costs of observability, primarily due to complex pricing models and a lack of transparency regarding cost incurrence. The text explores various pricing models for observability solutions, including host-based, user-based, data volume-based, and signal-based pricing, each presenting unique challenges and advantages. Dash0, a SaaS-based observability provider, advocates for a signal-based pricing model, which it believes offers transparency and fairness by counting each log, span, or metric sent, regardless of protocol or size. Their approach includes real-time observability dashboards for detailed cost breakdowns, proactive management, and internal billing. Dash0's pricing model is designed to be simple and predictable, with a fair usage policy to prevent unexpected costs, aiming to provide transparency and control over observability expenses while maintaining functionality.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Observability | 27 | 1,734 | 283 | 104 | +32% |
| OpenTelemetry | 4 | 446 | 54 | 29 | +34% |
| Kubernetes | 3 | 1,539 | 197 | 81 | +18% |
| Data Pipeline | 1 | 515 | 153 | 75 | +19% |
| Real-time | 1 | 2,310 | 734 | 231 | -11% |
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