IT & Operations

The runbook didn't solve this. The person did.

Payment latency spike · EU region · a handful of retries and slow responses.

3:14
5G
3:14
Tuesday, 18 March
PD
PagerDuty
now
P2 · Payment latency
EU region · elevated response times
#
Slack · #oncall
1m ago
@priya — can you take a look?
Raj: runbook ends at LB check
Mail · M. Chen (CTO)
2m ago
Noticing slow payments in EU?
03:14
Alert fires
Datadog
03:16
L1 acks
in Slack
03:22
Escalated
to L2
03:31
Priya joins
from phone
03:38
DB pool
identified
03:47
Resolved
MTTR 33m
Where the Knowledge Lives

Some names come up more than others.

Every ops team has a few people whose names surface whenever things get complicated — the ones quietly carrying patterns the rest of the team hasn't seen yet. Hover a gold node to see what that looks like.

David H.L1 · Ops
Priya V.L3 · Senior SRE
Liam N.L2 · Ops
Chen Y.L2 · Ops
Marco R.Infra Lead · 9 yrs
Tess O.L1 · Network
Ana T.L1 · Ops
Owen P.L2 · Ops
Ravi S.L2 · SRE
Sarah L.Platform · 6 yrs
Mika J.L2 · SRE
Jun Z.L1 · SRE
Priya knows
EU payment gateway failover DB proxy pool exhaustion patterns INC-41208 and its siblings The Datadog query nobody documented
Marco knows
SSH jumphost sequencing Firewall rule rollback, ordered The Terraform state lock quirk Which AZ to drain first, why
Sarah knows
The EBS snapshot-before-cutover rule Migration rollback paths Which change tickets break prod Legacy auth service boot order
General knowledge · documented, shared
Specialist patterns · often undocumented
Evidence · Live Capture Rec

This is the session. Every click, every keystroke, every decision.

Sixteen minutes of a senior engineer's actual work — recorded locally, as she worked. Watch a loop.

Rec Session · INC-48291 · Priya V.
03:14:02.04 Elapsed
Monitoring /eu-payments/overview Capturing
Overview Services APM Alerts eu-west · 1h
p99 latency
4.2s
▲ 2100%
error rate
12.4%
▲ 840%
throughput
1.8k
▼ 34%
db_proxy_pool · waiting connections last 10m
>
INC-48291 · EU payments High · Active
EU payments · p99 latency spike
Root cause
Resolution
Edited 2s ago by Priya V.
Live Transcript
Clicks 14 Keys 287 OCR 6 Writes to production 0
Rendering to 5 files
The Return

Same engineer. Same incident. Four numbers move.

Without CARRV
With CARRV
Next engineer's time-to-resolve Same incident, 3 months later
40min
7min −83%
Engineers who know the fix After one capture
1
16 +15
Audit prep time SOX / change evidence
3weeks
1hour −99%
New-hire time to first solo vs shadow-only onboarding
8weeks
2weeks −75%
Figures from pilot engagements·Fortune 500 SRE teams·One capture per incident
Captured From Where the Work Happens

Built for the tools your senior engineers already use.

ServiceNow ticket, Datadog dashboard, Splunk query, kubectl terminal, internal admin console — CARRV captures across all of them.

S
ServiceNowITSM
>
SplunkLog analysis
D
DatadogObservability
J
JiraChange mgmt
P
PagerDutyOn-call
G
GitHubSource control
T
TerraformInfra as code
A
AWS CloudWatchMetrics
K
kubectlK8s control
C
ConfluenceDocs
E
ElasticSearch / logs
S
ServiceNowITSM
>
SplunkLog analysis
D
DatadogObservability
J
JiraChange mgmt
P
PagerDutyOn-call
G
GitHubSource control
T
TerraformInfra as code
A
AWS CloudWatchMetrics
K
kubectlK8s control
C
ConfluenceDocs
E
ElasticSearch / logs
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