Fintech · Insurtech · 200–1000 · North America #b009_14

We wish for an observability tool that treats device telemetry differently from service logs, with tiering that keeps recent high-frequency data hot and compresses the rest automatically. It must run inside our own cloud account with regional residency. We would judge it by cost per device as our fleet grows, query speed on old data, and pricing we can predict.

Usage telemetry from the models we host and the ones people download keeps growing, and keeping it all is getting pricey. Right now engineers just hoard training and release logs with no central view. A good solution must tier retention by age, sample high-volume streams, price predictably for a research-heavy team, and run across several clouds.

Telemetry from our many production clusters keeps growing faster than the budget we set for observability. We want to keep what matters for debugging while cutting noise and storage spend. A good solution must handle huge distributed fleets, offer clear, predictable pricing, let us choose how long data is kept, and keep all data inside our regions.

Our billing runs on metered consumption, and partner royalties flow out of that same usage. Every period we must reconcile each metered record to invoices and royalty payouts, then hand auditors clean evidence. Sampling won't do. A good fit reconciles every record at huge scale, keeps a full audit trail, and supports our controls testing.

Our multi-tenant service produces heavy telemetry, and monitoring cost climbs with every new region we open. Our reliability engineers run the clusters themselves, and the bill is starting to hurt. A good solution must cut ingest and storage spend, keep per-tenant visibility, work across several clouds, and stay light for a lean team.

We added live calling to a product that began as email, and our on-call process was built for slow, asynchronous work. Now an outage means customers on active calls hear silence. We need paging that routes across engineers in distant time zones, ties directly into a public status page, and keeps responders and customers informed together. Point tools that only page people do not help us.

Our telemetry from new sites and cloud services is outgrowing our observability budget. We're stitching logging, monitoring and alerting from basic parts, and costs climb faster than our visibility. A good solution must let us control data volume and retention, expose everything through APIs, and scale across new sites without repricing fights or long lock-in before proving value.

We wish a tool existed that watches failed postings and cash application exceptions inside our customers' accounting systems, explains the cause in plain language, and proposes or applies the fix with approval. We would judge it by fewer manual fixes per week, faster time to clear exceptions, and native connectors to mid-market ERPs.