Healthtech · Payers & Benefits · 200–1000 · Europe #b036_06

Our engineers across several countries lose hours chasing issues through chains of APIs, because each team owns its own dashboards and nobody sees one request end to end. We want tracing that builds on open telemetry standards, works on managed containers, handles many tenants at scale, and lets teams adopt it step by step without ripping out what they have.

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.

We run services across two regions, and when a security or production incident hits, the handoffs get messy. Who leads, who talks to regulators, and who owns the timeline is often unclear. We need a process and tooling that clarifies roles fast, keeps an auditable record, and works across both regions without slowing engineers.

We wish for a detection tool that quietly ranks alerts by real business risk, so our small security team sees the few things that matter first. It must connect natively to our cloud platform, explain every ranking in plain words, and arrive with bank-grade assurance papers. We would judge it by how many analyst hours it saves in a trial.

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.

When a database or platform incident hits, our customers' payments stall, and we feel it immediately. Today our engineers lead live incidents with in-house alerting and scripts. We need earlier detection, clear on-call coordination across European and Asian time zones, and a full audit trail of every response step. It must fit our existing ticketing and cloud setup.

We run our platform across two major public clouds and struggle to see misconfigurations in one place. Policies drift between environments, and fixes happen twice. A good solution must give a single unified posture view, enforce consistent policies across both clouds, cover container workloads, and flag risks that matter to a security review. Single-cloud-only tools are no use to us.

We train and serve our own language models, and compute is one of our biggest cost lines. Today we struggle to see spend per workload, so trimming it is guesswork. A good solution must show cost per workload, run on premises or in sovereign clouds, work without permanent internet access, avoid large minimum commitments, and fit a small monthly budget.