Infrastructure
for teams that
ship in real time.
Infrastructure
for teams that
ship in real time.
Infrastructure
for teams that
ship in real time.
Watch pipelines, retrain models, roll out with a way back. One place instead of twelve tools that don’t know each other.
Watch pipelines, retrain models, roll out with a way back. One place instead of twelve tools that don’t know each other.
Watch pipelines, retrain models, roll out with a way back. One place instead of twelve tools that don’t know each other.
Latency
Throughput
Availability
// Route
// Infer
// Deploy
// Observe
// Scale
// Recover
[ The problem ]
[ The problem ]
Why old
tools break
today
Why old
tools break
today
Most of it was built before models were redeployed every few minutes. It holds until it doesn’t, and it won’t tell you when that happens.
Most of it was built before models were redeployed every few minutes. It holds until it doesn’t, and it won’t tell you when that happens.

01
01
Silent failures
Silent failures
The import stops, the dashboard freezes, and nobody notices. You find out when someone stops trusting a number.
The import stops, the dashboard freezes, and nobody notices. You find out when someone stops trusting a number.

02
02
Twelve windows
Twelve windows
Logs here, metrics there, alerts in a third tool. Whoever hunts a bug first hunts for the place where it could be seen.
Logs here, metrics there, alerts in a third tool. Whoever hunts a bug first hunts for the place where it could be seen.

03
03
Growth as rebuild
Growth as rebuild
What works at a thousand requests falls over at a hundred thousand. The rebuild then happens under pressure, and pressure is not an architecture.
What works at a thousand requests falls over at a hundred thousand. The rebuild then happens under pressure, and pressure is not an architecture.
[ The solution ]
[ The solution ]
Everything a team
needs in operation
Everything a team
needs in operation
Reporting Insights · Throughput
Jan 2026
Feb 2026
Mar 2026
Streaming first
Streaming first
Streaming first
Errors are caught while they happen, not in the report the next morning. No more silent failures, no more calls at three.
Errors are caught while they happen, not in the report the next morning. No more silent failures, no more calls at three.
One view instead of twelve
One view instead of twelve
One view instead of twelve
Every log, every metric, every event in a single view. Whoever is looking for an error looks for the error, not for the window it would show up in.
Every log, every metric, every event in a single view. Whoever is looking for an error looks for the error, not for the window it would show up in.
Utilization · All services
7D
30D
6M
CPU
Memory
Disk
Network
Uptime · 90 days
90 days ago
today
Scales on its own
Scales on its own
Scales on its own
From a thousand to a million requests without a rebuild and without a night shift. The system reports deviations itself instead of waiting for thresholds somebody would have to maintain.
From a thousand to a million requests without a rebuild and without a night shift. The system reports deviations itself instead of waiting for thresholds somebody would have to maintain.
[ In numbers ]
[ In numbers ]
Events per second
Events per second
Guaranteed availability
Guaranteed availability
Records processed
Records processed
Growth per year
Growth per year
All numbers on this page are template placeholders and do not describe a real product.
All numbers on this page are template placeholders and do not describe a real product.
From zero to
production in
three steps
From zero to
production in
three steps
No rebuild, no migration project, no week of setup. Connect, watch, roll out.
No rebuild, no migration project, no week of setup. Connect, watch, roll out.
Step 01
01
01
Connect
Connect
Point at the sources you already have. Databases, APIs and streams are read, and the schema detects itself.
Point at the sources you already have. Databases, APIs and streams are read, and the schema detects itself.
50+ ready-made connectors
50+ ready-made connectors
Schema and types detected
Schema and types detected
Set up in under five minutes
Set up in under five minutes
Step 02
02
02
Observe
Observe
Every event in real time. Runtime, throughput and data quality across the whole stack, without anyone maintaining rules.
Every event in real time. Runtime, throughput and data quality across the whole stack, without anyone maintaining rules.
Metrics and alerts in real time
Metrics and alerts in real time
Deviations stand out on their own
Deviations stand out on their own
One view for all services
One view for all services
Step 03
03
03
Roll out
Roll out
One click into production. Scaling, rollback and zero-downtime switches are built in, not bolted on.
One click into production. Scaling, rollback and zero-downtime switches are built in, not bolted on.
One click to production
One click to production
Grows with the load
Grows with the load
Rollback through versions
Rollback through versions
// SOC 2 Type II
// 256-bit encrypted
// Zero Trust
// GDPR
// ISO 27001
// End to end
// Auditable
// Data residency of your choice
// mTLS
// HIPAA
Security that is audited
Security that is audited
Security that is audited
Encrypted at rest and in transit. You choose where your data lives, it isn’t assigned to you.
Encrypted at rest and in transit. You choose where your data lives, it isn’t assigned to you.
Encrypted at rest and in transit. You choose where your data lives, it isn’t assigned to you.
What teams
report
What teams
report
Voice 01
Less time hunting errors
“Hunting pipeline errors now takes a fifth of the time. The model went live in days, not months.”
Placeholder Name
Staff Engineer, Example Corp
Voice 01
Less time hunting errors
“Hunting pipeline errors now takes a fifth of the time. The model went live in days, not months.”
Placeholder Name
Staff Engineer, Example Corp
Voice 02
Saved every week
“Deviation alerts alone save us about twenty hours a week. On-call sleeps again.”
Placeholder Name
VP Engineering, Example Corp
Voice 02
Saved every week
“Deviation alerts alone save us about twenty hours a week. On-call sleeps again.”
Placeholder Name
VP Engineering, Example Corp
Voice 03
Growth, zero config changes
“We grew from ten thousand to two million events a day without changing a single setting.”
Placeholder Name
ML Platform Lead, Example Corp
Voice 03
Growth, zero config changes
“We grew from ten thousand to two million events a day without changing a single setting.”
Placeholder Name
ML Platform Lead, Example Corp
Voice 04
Fewer tools to watch
“Four separate tools became one. Fewer windows, more signal, and one place to look things up.”
Placeholder Name
Head of Data, Example Corp
Voice 04
Fewer tools to watch
“Four separate tools became one. Fewer windows, more signal, and one place to look things up.”
Placeholder Name
Head of Data, Example Corp
Names, companies and quotes are template placeholders.
Names, companies and quotes are template placeholders.
[ From the blog ]
[ From the blog ]
Connect
and watch.
Connect
and watch.
No card, no call, no setup. If it hasn’t helped after an hour, it’s the wrong template.
No card, no call, no setup. If it hasn’t helped after an hour, it’s the wrong template.
A template in the acid-tech style. Dark, monospace, one signal in orange.
InfraCore Systems
All content, numbers and quotes are placeholders
2026
A template in the acid-tech style. Dark, monospace, one signal in orange.
InfraCore Systems
All content, numbers and quotes are placeholders
2026
A template in the acid-tech style. Dark, monospace, one signal in orange.
InfraCore Systems
All content, numbers and quotes are placeholders
2026










