Frequently Asked Questions

Clarivize is a new way to organize and filter telemetry to ensure that you’re not paying to ingest and store duplicate, unused and useless data with your cloud provider. If you’re not familiar with the concepts involved, check out a few of the FAQ questions below, you may find answers. Or reach out to us directly, we’ll be happy to discuss these topics at length.

What is Telemetry?

Telemetry is the data that software systems generate and send to monitoring and observability tools so teams can understand system health, performance, and failures. Companies use telemetry to keep their software performing well and to understand product use and business value.

How does Clarivize work?

Clarivize uses a variable sampling algorithm guided by machine learning to identify which anomalies and notable events are sent to your cloud provider and samples static data very aggressively. This ensures a balance between visibility and data savings.

How does Clarivize help me save money?

As systems grow more complex, telemetry volumes grow rapidly—often including large amounts of duplicate or low-value data. Clarivize sits close to the source of the data. This allows Clarivize to refine and filter the telemetry before it reaches costly cloud platforms, preserving the signals needed for monitoring and troubleshooting, as well as important customer data, while reducing noise and unnecessary spend.

Does AI adoption impact telemetry usage and spend?

AI-powered systems generate significantly more telemetry than traditional software, so telemetry volume grows rapidly, driving higher ingestion, storage, and networking costs. Without controls in place, companies end up paying to collect and store large amounts of low-value or repetitive data generated by AI. Clarivize helps manage this growth by refining telemetry before it reaches the cloud, so AI adoption doesn’t automatically mean runaway observability spend.

Why doesn’t my Cloud Provider already help me save money on telemetry costs?

Cloud providers are designed to reliably ingest, store, and analyze any telemetry you send—but they don’t know which data is truly useful to your business. Their platforms charge based on data volume, and they’re optimized to accept everything rather than decide what should be kept or discarded. As a result, companies often send far more telemetry than they ever use, and cloud providers reap HUGE profits by charging for ingestion and storage of your redundant telemetry.

Which cloud providers does Clarivize work with?

Clarivize is designed to work with Open Telemetry (OTLP) and Application Insights (Microsoft Azure). Our goal is for Clarivize to be hosted on all major cloud platforms, and at launch we’ll focus on Microsoft Azure and Amazon Web Services (AWS), which together support a large share of modern SaaS and cloud-native applications. Additional cloud providers and observability platforms will be added over time as we expand support.

Will using Clarivize impact the monitoring and observability tools I use today?

Clarivize works with your existing monitoring and observability tools, not against them. Those tools continue to function as they do today—only with cleaner, higher-value telemetry. By removing repetitive, low-signal telemetry and prioritizing anomalous and notable logs, Clarivize reduces noise and makes real issues easier to spot. With less data to ingest, index, and query, dashboards load faster, alerts are more meaningful, and teams spend less time searching and more time resolving problems.

How do I know Clarivize won’t remove telemetry I need or want?

Clarivize will help you create rules that ensure that your telemetry is never sampled or lost. Clarivize also has several operation modes that enable visibility into your data pipeline without modifying it, and help enrich your telemetry with anomaly tags that help you understand your data, without sampling.

What happens to my telemetry when Clarivize filters it out? Can I get it back later if I need it?

Clarivize doesn’t blindly delete your data. When Clarivize refines, filters, or compresses your telemetry, it preserves the meaningful signals and metadata needed for analysis, while removing low-value repetition. You retain visibility into what was reduced and why. If you choose, both filtered and/or un-filtered telemetry can be redirected to lower-cost storage instead of expensive observability pipelines, making it available for audits, investigations, or future analysis. You stay in control of retention policies, storage locations, and access—Clarivize simply helps you store the right data in the right place at the right cost.

Still have questions? Feel free to reach out!

Because every SaaS stack is unique, we’re always happy to answer questions and explore how Clarivize can adapt to your setup.