03:47
peak incident hour
Nobody is on call at 3 AM.
Your customers don't sleep. Your competitors hire follow-the-sun. Your single SRE has Slack-on-mute since Tuesday.
Support & Evolution
Continuous improvement. Zero downtime.
24/7 monitoring, SLA-backed response, monthly evolution sprints. We keep your product ahead of the curve while you sleep — and your competitors don't.
0 min
Max MTTA
0.00%
SLA hit · 12mo
0
Products under watch
24/7
Live · always
After launch, most products fossilize.
The team ships v1, the team rotates, the runbook becomes a Confluence ghost. Six months later, every alert pages the same exhausted human.
62%
of runbooks
Are stale within 90 days of launch.
The team that wrote them moved on. The new team doesn't know which Datadog dashboard is canonical. Tribal knowledge dies in 1:1s.
9 mo
after launch
Is when products stop improving.
"Maintenance" becomes "leave it alone." Tech debt compounds, performance drifts, churn climbs — quietly, until it isn't quiet.
Live signals. Live incident. Live ship-log.
What our NOC sees right now — three sparklines, a synthetic spike every twelve seconds, an auto-investigated incident, and the ticker of last month's improvements.
Request rate+3.2%
2 341rps
Error rate−0.4%
0.02%
P95 latency−2 ms
38ms
Incident · payments-api
—
Detected
Acknowledged
Investigating
Resolved
Upgraded Node 18 → 20 on prod clusterMigrated DB pool · pgBouncer transaction modeA/B test checkout v3 · winner +6.4% convOptimized image pipeline · −38% LCPPatched CVE-2024-3094 · zero downtimeRotated all secrets · Vault auto-rotate onAdded 4 new SLOs · burn-rate alerts wiredCut AWS bill 18% · spot fleet on workersShipped RUM beacons · real-user p95 visibleReplaced CRA build · Vite saves 8m / day CIUpgraded Node 18 → 20 on prod clusterMigrated DB pool · pgBouncer transaction modeA/B test checkout v3 · winner +6.4% convOptimized image pipeline · −38% LCPPatched CVE-2024-3094 · zero downtimeRotated all secrets · Vault auto-rotate onAdded 4 new SLOs · burn-rate alerts wiredCut AWS bill 18% · spot fleet on workersShipped RUM beacons · real-user p95 visibleReplaced CRA build · Vite saves 8m / day CI
Four phases. Always-on.
Audit, instrument, monitor, evolve — and back to monitor. The cycle never stops.
01
Week 1Audit
Codebase, infra, alerts, runbooks. We produce a "what's actually monitored" diff with red, yellow, green columns.
02
Week 2Instrument
Sentry for errors, Datadog for traces, Grafana for SLOs, PagerDuty for the right human. Runbooks wired to alerts.
03
OngoingMonitor
24/7 follow-the-sun. SLA-backed response. Page hits within 15 minutes — every time, every alert, every region.
04
MonthlyEvolve
Improvement sprint based on the month's data. Performance, security, cost, UX — one focus area per cycle.
Everything we watch. Everything we ship.
Monitoring matrix — twelve category, one screen.
API health, DB performance, job queues, frontend errors, auth flow, payments SLA, storage, CDN, email deliverability, background jobs, 3rd party APIs, security.
API HEALTH
DB PERF
QUEUES
FE ERRORS
AUTH
PAYMENT SLA
STORAGE
CDN
EMAIL
BG JOBS
3RD-PARTY
SECURITY
SLA-backed response
15 minutes MTTA, 99.95% SLA. Penalty clauses in the contract — your downside, our skin.
Runbooks alive
Markdown in Git, linked from every alert, updated after every incident. Confluence-free.
Monthly ship-log
What we shipped, what we cut, what's queued. Board-ready PDF every 30 days.
CVE patching
Dependabot + Renovate + manual review. Critical CVEs patched within 24h, all without downtime.
Quarterly review
Architecture review every 90 days. Tech debt audit, performance regressions, cost trajectory.
Evolution sprint
Once a month, one focused sprint: speed, UX, cost, security. Data picks the focus.
Boring, battle-tested, on-call ready.
Observability
SentryDatadogGrafanaPrometheusLokiHoneycombCheckly
On-call & status
PagerDutyOpsgenieBetter StackStatusPageAtlassian Status
Process
LinearGitHubSlackNotion
vs the usual options.
| D1VERSY | Solo on-call hire | Outsourced NOC | "We'll figure it out" | |
|---|---|---|---|---|
| Follow-the-sun coverage | ● | ○ | ● | ○ |
| Engineers fix, not escalate | ● | ● | ○ | ◐ |
| Monthly evolution sprint | ● | ○ | ○ | ○ |
| SLA in writing | ● | ○ | ● | ○ |
| Mean MTTA | 12 min | 45 min | 20 min | 2 hours |
| Cost · per product · /mo | $2.4K | $12K+ | $3.8K | $0 + outages |
Under watch. Never down.
SP
SaaS product · 18 months on watch
⤷ 100% SLA hit, 4m avg MTTR, 9 evolution sprints shipped.
SaaSDatadogPagerDuty
View case →EC
E-com platform · Black Friday survived
⤷ 14× traffic spike, zero incidents, autoscale ran clean.
E-ComK8sGrafana
View case →HT
HealthTech · HIPAA + 24/7 on-call
⤷ 12 mo zero unplanned outages, audit passed first try.
HealthHIPAASOC 2
View case →Sleep better. Ship more.
30-minute call. We audit your current monitoring, score it red/yellow/green, and tell you what's missing — before you sign anything.