Modern engineering teams generate massive volumes of telemetry data, but traditional observability platforms struggle with slow search, rising storage costs, and fragmented debugging workflows. Delayed root cause analysis and expensive telemetry retention can slow incident response, increase downtime, and limit operational visibility.
CtrlB is an observability control plane built for engineering and security teams operating at scale. The platform unifies logs, distributed traces, metrics, dashboards, alerts, and AI-driven insights into a single high-performance observability stack optimized for speed, scalability, and cost efficiency.
Built on open standards and cloud-native architecture, CtrlB delivers sub-second search across petabytes of telemetry data while reducing observability costs by up to 90% with 10x better performance. Its distributed query engine, parquet-based storage, and stateless query architecture enable ultra-fast point searches and high-cardinality filtering without the overhead of legacy observability systems.
Highlights
OpenTelemetry-native platform supporting logs, traces, metrics, alerts, and AI insights
S3 native observability architecture with object storage integrations
Sub-second search performance across petabyte-scale telemetry datasets
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay based on how much telemetry data you send in, measured per gigabyte ingested. There are three independent usage dimensions: Logs, Metrics, and Traces. Each is billed separately by the volume you ingest, and each includes 30 days of retention. Your cost scales directly with the amount of data in each category. You can use one, two, or all three dimensions depending on your monitoring needs. Since billing is usage-based, you pay only for the data you actually ingest across these categories.
Top-of-mind questions for buyers
What counts as one gigabyte for billing — raw data sent or stored data after compression?
You are billed per gigabyte ingested, meaning the volume of telemetry data you send into the platform. This applies separately to Logs, Metrics, and Traces. The charge is based on what you feed in, not on compressed storage size after the platform processes it.
If I send more data than expected, does my cost rise automatically or do I hit a fixed limit?
Billing is usage-based with no fixed cap in these dimensions. Your cost rises directly with the gigabytes you ingest in each category. There is no committed amount to exceed. You pay for actual ingestion, so higher volume means a higher bill for that dimension.
Which dimension drives most of my bill — Logs, Metrics, or Traces?
All three bill independently by gigabyte ingested and appear on the same invoice. The one that dominates depends on your workload. High log-volume systems drive Logs costs; heavy request tracing drives Traces. You can send data to one, two, or all three categories based on your needs.
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