Cost No extra fee for public internet traffic, even at log volume.

A Kafka buffer that doesn't scale your bandwidth bill

Observability data is high-volume and highly compressible. ntail meters data in and out on the compressed bytes and never charges extra for public internet traffic, so a buffer that grows doesn't quietly become the biggest line on your invoice.

  • Metered compressed
  • No fee per destination
  • No public internet fee
  • Free migration

Example monthly invoice

10 MiB/s in · 20 MiB/s out · 7-day retention
Data in10 MiB/s × $25
$250
Data out20 MiB/s × $25
$500
Storage7 days of writes ≈ 6.3 TB × $20
$126
Public internet trafficData sent and read, any volume
$0
Total, all in $876 /mo

Illustrative example at list price — a log/trace stream fanned out to two destinations. Data in and out are measured compressed. Model your own workload.

  • $0Extra fees for public internet traffic
  • GB/sSustained throughput per cluster
  • 99.99%Contractual uptime SLA
  • $50/moPer-cluster minimum, about 7¢/hour

Cost

The bandwidth fee is often the surprise

Logs and traces are exactly the high-in, high-out pattern that makes a per-GB bandwidth fee hurt the most.

Same workload, three providers

10 MiB/s in, 20 MiB/s out (compressed), 7-day retention — monthly, at list price.

ntail$876
Typical managed streaming service$4,750
Self-managed on rented cloud hardware$3,650

Illustrative comparison based on published list prices for an equivalent workload, including the data-transfer charges that competing services meter separately. Your numbers will differ — try the calculator or ask us for a modelled quote against your actual bill.

  • Metered on compressed bytes

    Logs and traces are usually verbose text or JSON that compresses 3–5×, and you're billed on the compressed size for both data in and data out.

  • Fan out without a per-destination fee

    A SIEM, cold storage and a dashboard can all read the same stream, and each additional consumer never adds a public internet fee.

  • Retention sized to the buffer window

    Size storage to how long you need replay ability, not to your long-term log retention policy — storage bills per TB actually retained.

Built for telemetry

Built for verbose, high-volume telemetry

A transport layer in front of your existing observability stack — not a replacement for it.

  • Sustained high-volume throughput

    Sustained gigabytes per second per cluster, with capacity that follows a log spike automatically — no ceiling to raise before an incident generates a burst of traces.

    Scales in seconds, not windows

  • No public internet fee

    Ship data to destinations outside your network with no data-transfer charge, at any volume — the fee that most inflates a log-pipeline bill.

    Typically the biggest saving

  • Sits in front of your existing tools

    ntail doesn't replace your logging, metrics or tracing backend — it's the durable buffer in front of it, so your existing tools stay exactly the same.

    Works with the tools you already use

Reliability & performance

The numbers we sign up to

With service credits attached when we miss them.

  • 99.99%Uptime SLAUnder 4.4 minutes a month, with service credits
  • ZeroMaintenance windowsUpgrades and scaling with no downtime for you
  • 11 9sData durabilityEvery write on durable, verified storage
  • <60 sCapacity changesScale up for a peak, down the same evening

FAQ

Common questions about observability pipelines

Does compressed metering matter for logs specifically?

Yes. Logs and traces are usually verbose text or JSON that compresses 3–5×, and you're billed on the compressed size for both data in and data out — not the raw record size.

Can I fan out the same log stream to multiple destinations?

Yes. A SIEM, cold storage and a dashboard can all read the same stream as independent consumers, and each additional consumer never adds a public internet fee.

How do I size retention for a buffer use case?

Retention for a buffer is usually short — size it to how long you need replay ability, not to your long-term log retention policy. Storage bills per TB actually retained, so a smaller buffer window costs less.

Does this replace our logging or observability backend?

No — ntail is the durable transport layer in front of it. Your existing logging, metrics and tracing tools stay exactly the same; ntail just carries the data to them without adding a bandwidth fee.

Stop paying to move your own telemetry

Contact us for a quote in minutes, or send us last month's streaming invoice and we'll model the same workload on ntail — line by line, no obligation.