Calculator Inputs
Telemetry Size Chart
Example Data Table
| Parameter | Example Value | Why It Matters |
|---|---|---|
| Devices | 250 | Higher device counts scale event volume linearly. |
| Events per second per device | 2 | Emission frequency drives bandwidth and storage growth. |
| Metrics per event | 8 | Each additional metric expands payload size. |
| Bytes per metric | 4 | Numeric encoding changes payload density. |
| Timestamp + ID + header bytes | 44 | Metadata can dominate small event packets. |
| Protocol overhead | 15% | Transport and framing add non-payload bytes. |
| Compression ratio | 2.5 | Compression reduces persisted and transmitted volume. |
| Duplication factor | 1.1 | Retries, mirrors, or replication raise effective size. |
| Retention | 90 days | Longer retention increases long-term storage planning. |
| Estimated daily storage | About 1.55 GB | Useful for pipeline sizing and storage alerts. |
Formula Used
1) Measurement bytes per event
Measurement Bytes = Metrics per Event × Bytes per Metric
2) Base event size
Base Event Bytes = Measurement Bytes + Timestamp Bytes + Device ID Bytes + Header Bytes
3) Event size after overhead and compression
Effective Event Bytes = ((Base Event Bytes × (1 + Overhead %)) × Duplication Factor) ÷ Compression Ratio
4) Daily event volume
Daily Events = Devices × Events per Second × Active Hours per Day × 3600
5) Storage and bandwidth
Daily Bytes = Effective Event Bytes × Daily Events. Throughput = Effective Event Bytes × Total Events per Second.
How to Use This Calculator
- Enter the number of devices sending telemetry.
- Set how frequently each device emits events.
- Add payload details such as metrics per event and bytes per metric.
- Include metadata sizes for timestamps, identifiers, and message headers.
- Adjust protocol overhead, compression ratio, and duplication factor.
- Choose daily active hours and the storage retention period.
- Optionally add a storage cost rate for budget estimates.
- Press the calculate button to view results above the form.
- Use the CSV or PDF buttons to export the summary.
Frequently Asked Questions
1) What does this calculator estimate?
It estimates telemetry event size, bandwidth demand, daily storage, monthly growth, retention volume, and optional storage cost from operational input assumptions.
2) Why is protocol overhead included?
Protocols add framing, headers, encryption metadata, acknowledgements, and transport bytes. Ignoring them can understate bandwidth and storage, especially for small, frequent events.
3) How does compression change the estimate?
Compression lowers the effective stored and transferred size. A higher compression ratio means fewer bytes are retained after the payload is encoded and written.
4) What is duplication factor?
Duplication factor captures mirrored writes, retry traffic, replicated ingestion, or other repeated handling. A value above 1 increases the effective byte volume.
5) Should I use active hours instead of full-day collection?
Yes. Many systems emit heavily only during business, production, or device uptime windows. Active hours make the estimate closer to real operating conditions.
6) Can this help size cloud observability storage?
Yes. It is useful for planning data lakes, observability platforms, time-series stores, and long-term archives before scaling devices or pipelines.
7) What units are used for storage?
The calculator computes raw bytes internally, then presents readable units like KB, MB, GB, or TB so storage growth is easier to interpret.
8) Is this result exact for every production system?
No. It is a planning estimate. Actual volumes vary with serialization format, batching, encryption, protocol choice, retries, and downstream retention policies.