- Grafana Cloud
- OpenTelemetry
OpenTelemetryStop firefighting alerts.Get a pager you can trust.
We collapse the tool sprawl into one platform on Grafana Cloud and tune alerting down to real problems — around 80% less noise — in an 8-week build your team owns.
Datadog
Splunk
New Relic
Prometheus
Grafana CloudProduction · OverviewLast 6h⟳ 10sbuilt by Crozaint1412129Trusted by enterprise teams worldwide.
“Crozaint was really helpful in consolidating our complex AWS billing structure. They are leading AWS experts and we are looking for a long term business with them.”
Shareef
IT Manager, Malabar Gold & Diamonds
Success Story
“Crozaint was really helpful in consolidating our complex AWS billing structure. They are leading AWS experts and we are looking for a long term business with them.”
Shareef
IT Manager, Malabar Gold & Diamonds
Success StoryToo much monitoring.
Not enough signal.
Most enterprises don’t have a monitoring gap. They have too much of it — many separate systems, each with its own dashboards, alerts, and bill. The signals exist. What’s missing is one place they converge, and the practice to tell a real problem from noise.
“I get more alerts than anyone can triage, and most of them are false. I’ve stopped trusting the pager.”
Illustrative composite voices, drawn from teams we have worked with.
of incidents now take over an hour to resolve — up from 47% in 2021.
Source: CNCF, citing the 2024 Observability Pulse survey of 500+ IT professionals.
You don’t need another tool.
You need signal you can trust, and the practice to act on it.
One platform. Eight weeks. Your team runs it.
The Crozaint Observability Foundation stands up one observability platform on Grafana Cloud, instruments your services with OpenTelemetry, and hands your team a system they own and operate — not a tool they're left to figure out. We design it, build it, train your engineers, and leave them running it.
One place, every signal
Unified platform
Metrics, logs, traces and dashboards in one place on Grafana Cloud (Mimir, Loki, Tempo, Grafana) — commercially supported and fully managed, not a stitched-together OSS install.
Portable, not locked-in
OpenTelemetry instrumentation
Vendor-neutral and standards-based collection. Your telemetry is portable — you are never tied to a proprietary agent.
70–80% noise reduction
High-signal alerting
Correlated across metrics, logs and traces, with inhibition rules that hold back the symptoms of a known cause. A host going down pages once — not again for NTP, SSH and every service on it.
Inhibited · 6 symptoms
Targets you own
SLO framework
Reliability targets, error budgets and burn-rate alerting your team defines and tracks. (An error budget is how much downtime a target still allows.)
Typically eight weeks. Your team owns it at the end.
One focused engagement — not an open-ended retainer. We design it, build it, train your engineers, and leave them running it.
- 1DesignWeeks 1–2
- 2ImplementWeeks 3–6
- 3TrainWeeks 6–7
- HandoffWeek 8
Book a 30-min discovery call · No commitment
A platform that watches with you. Not another dashboard you babysit.
Most observability ends at the dashboard — it shows you everything and leaves the thinking to you. Ours does the first pass, then hands you the decision.
High latency — checkout p95
prod · us-east-1 · 02:14 → 02:19- Grafana ML02:14
Caught before it pages anyone.
Grafana ML has learned what normal looks like for checkout. When p95 escapes the forecast band, it is flagged in seconds — quietly, before a single phone lights up.
checkout p95 latency · forecastGrafana ML02:14Outside the learned band for 90sFlagged — no page firedanomaly · 3.1× above forecast - Sift02:14
The legwork is already done.
Sift fans out across your telemetry — deployments, error patterns, resource pressure — and comes back with a likely cause: the checkout v141 deploy that shipped at 02:02.
Sift investigation8 checks · 2 findings02:14- Noisy Neighborsno signal
- Kube Crashesno signal
- Resource Contentionno signal
- Slow Requestsno signal
- HTTP Error Seriesno signal
- Status Page Outagesno signal
- Error Pattern Logsconnection pool exhausted · +412%
- Recent Deploymentscheckout v141 · 02:02
Likely cause — deploy checkout v141 at 02:02 - Grafana Assistant02:16
Ask why in plain language.
No query language at two in the morning. One question, and the story assembles itself — with the evidence pinned underneath it.
Grafana Assistant02:16Latency rose at 02:03 — right after checkout v141 deployed. Loki shows a matching error pattern: connection pool exhausted. The spike is isolated to checkout; upstream services are healthy.
Loki · error patternTempo · slow span db.queryDeploy · v141 at 02:02Ask a follow-up… - Your team02:17
The call stays with you.
The machine investigated, forecast and explained. Your engineer makes the one decision that matters — roll back — and checkout recovers by 02:19.
02:17 · the call is humanDecision · your engineer02:17Roll back checkout v141 Approvedrecovered · 02:19
AI assists. Your team decides.
Nothing here acts on its own — yet. The machine investigates, forecasts and explains; the one decision that matters stays with your engineers. How much it may do without asking is a setting you control, and you move it deliberately.
02:14flagged02:14investigated02:16answered02:17decided02:19recovered
30-minute discovery call — we look at your current stack together.
AIOps isn’t a switch. It’s a road with gates.
It doesn’t arrive on a go-live date — it arrives one gate at a time. The machine starts on a handful of signals, earns the right to page you, and only then earns the right to act. You choose how far down the road to go.
- 01
Start narrow
observes
One critical service · three or four golden signals
Grafana ML learns what normal looks like and flags drift into a dashboard. No page fires.
- Grafana ML
Gate to the next stopIt has watched a full business cycle — a peak, a deploy week, a quiet week.
- 02
Prove it
observes
The same narrow set — unchanged, on purpose
It runs beside your existing alerts and every call it makes is checked against what actually happened. Nothing widens yet.
- Grafana ML
Gate to the next stopIt would wake you less often than the alert rules it replaces, and it missed no Sev1.
- 03
Widen
pages you
Your critical services
The same setup extends to your other critical services, and Sift arrives with a likely cause already attached.
- Grafana ML
- Sift
Gate to the next stopFor a named failure, the fix is scripted, scoped, verified and reversible.
- 04
Let it act
acts
Named failure modes, across the estate
On the failures you named — restart, roll back, scale out — it acts, checks whether that worked, and undoes itself if it did not.
- Grafana ML
- Sift
- Assistant
You stay in controlEvery action is logged and reversible, and approval-first — it asks, you say yes — stays a setting.
The road isn’t a calendar. You move when the evidence says move — and the delivery loop we run after handoff is what moves you.
30-minute discovery call — we’ll pick your first three signals together.
Different stack. Same story. And the same way out.
The teams who come to us aren’t under-monitored — they’re buried. Too many tools, a pager no one trusts, spend no one can explain. We’ve stood up the same foundation again and again, and the curve always bends the same way: from noise to signal.
The shift, line by line
The setup is consistent. So is the outcome.
The engagement ends. The platform stays.
Your team runs it.
When the eight-week engagement closes, this is what’s operational — yours to run, extend, and grow from.
One platform, all telemetry
Metrics, logs, traces, and dashboards unified on Grafana Cloud — many tools replaced by one system.
A pager you can trust
Correlated, high-signal alerting, down to hundreds of meaningful alerts — only real problems fire.
Faster time-to-cause
Markedly lower MTTR, with Sift surfacing likely causes during incidents instead of leaving you to dig.
Lower, clearer spend
Consolidated observability spend you can actually see — and a clear view of what it is buying.
Reliability you manage
SLOs, error budgets, and burn-rate alerting your team owns and tracks against real objectives.
A team that owns it
Trained engineers, runbooks, and a system they operate — not a dependency on us.
The platform keeps running.
The platform, the practice, and the machine-assisted operations carry on after we leave — used, owned, and improving. They’re yours.
- SiftInvestigates. Surfaces likely cause.
- Machine LearningForecasts. Flags anomalies.
- AssistantAsk your telemetry, in plain language.
Eight weeks. Four phases.
From tool sprawl to a platform your team runs.
Click any phase below to see what we build, and what’s operational by the end of it.
Audit
We map your existing tools, telemetry, and alerting across every environment, validate access, and define the OpenTelemetry instrumentation strategy. By the end you have a clear picture of what you have today, what it costs, and exactly what the Foundation replaces.
What’s in place by the end
- Current-state inventory of tools, telemetry, and spend
- OpenTelemetry instrumentation strategy agreed
- Project kickoff and roles confirmed
Scoped to your environment.
Eight weeks is the standard shape; larger or more complex environments can run longer. We map the exact timeline to yours in the first conversation.
You own the platform. We help it get better, every week.
A platform you own is the starting line, not the finish. Evolution is an ongoing partnership — a continuous improvement loop run alongside your team, to your operating model: ITIL 4, SRE, or a fusion of both.
We track what your telemetry, incidents, and teams surface — what's noisy, what's missed, what's changing.
ITIL 4 — Listen · Engage
The AI shift happens here — in the loop.
Each cycle is what moves you along the road to AIOps — a gate at a time, never a leap.
Want more hands on it? Two more ways we partner.
Both optional — the Foundation stands on its own. For some teams there's a further step: having us run operations day to day, or bringing our engineers onto your team.
Beforeyou decide.
Rip-out risk, licensing, what the AI really does, what you own at handoff — the questions that come up most before committing.
Have a different question? Ask usYou don’t rip anything out. We run the new platform in parallel with what you have, so nothing goes dark during the move — your existing tooling keeps running until you’re confident the replacement covers it. The goal isn’t change for its own sake; it’s one platform instead of many, lower spend, and a pager you can trust. If the numbers don’t support switching a given system, we’ll tell you.
Ask your AI about us.
Run your own diligence. Open your assistant with a neutral question already typed in — and see what it says.
Talk to our observability teamDrowning in alerts? Overpaying for observability?Let’s fix the foundation.
Start with a 30-minute discovery call. We’ll look at your current tools and spend together and map what an observability foundation — and the partnership beyond it — could do for your operations.
- 30-min discovery call
- No commitment
- AWS · Azure · Google Cloud
Get in touch
Tell us what’s firing.
Share your current tooling and the noise you’re fighting, and a member of the Crozaint team will map the shortest path to a signal you can trust.