Reduce observability costs for the workloads you run
xScaler provides cost-effective observability from collection and storage to exploration and alerts across applications, infrastructure and AI. Compare the same workload and required capabilities, including telemetry collector fleet management, to assess what your team would spend.
Observability cost grows in several places
Active series, log and trace volume, retention and query load all affect cost. Include the people and infrastructure needed to collect telemetry, maintain the service and keep dashboards and alerts working.
Keep the investigation and alerting workflows you need
Assess cost alongside the data your team needs during incidents. xScaler combines collection, exploration, dashboards and alerts with managed storage and query operations, so your evaluation should cover the full workflow.
- Identify the signals and retention periods your investigations require
- Model metrics, logs and traces at current and expected volumes
- Include collector management and service operations in the cost comparison
- Validate existing queries, dashboards and alerts during evaluation
Ways teams reduce observability cost
| Method | What it improves | Risk |
|---|---|---|
| Drop telemetry | Immediate ingestion and storage cost | Can remove signals needed during incidents |
| Tune cardinality | Metrics efficiency and query performance | Requires ongoing ownership and review |
| Use xScaler | Cost-effective observability with managed operations | Requires migration and validation of your collection, queries and alerts |
Common use cases
Estimate monthly cost before expanding telemetry retention.
Compare platform costs while retaining Grafana and Prometheus workflows.
Assess spending across telemetry collection, storage, investigation and service operations.
FAQ
How do I compare observability platform costs?
Use the same telemetry volume, retention, query needs, features and support requirements for each option. Include discounts, migration effort and the engineering time spent operating your current setup.
How do I reduce observability costs?
Measure active series, log and trace volume, retention and operational overhead. Identify data your team no longer needs, then compare platform costs while preserving the collection, investigation and alerting workflows you rely on.
Why do metrics costs grow so quickly?
Metrics cost often grows with active series cardinality. Labels from Kubernetes, services, tenants, and dynamic infrastructure can multiply series counts quickly.
Should I reduce telemetry volume or change platforms?
Evaluate both against your requirements. Removing unused telemetry reduces volume. Changing platforms changes service pricing and operational responsibilities. Compare costs with the signals, retention and workflows your team needs held constant.
Find the expensive part of your telemetry stack
Use the calculator to model active series, logs, and traces before deciding where to optimise.