Cloud & DevOps

Infrastructure that scales with your ambitions.

Production-grade clouds, zero-downtime deploys, monitoring that pages the right human. AWS, GCP, Azure, Hetzner, on-prem — same playbook, your terms.

Audit My Infra See the Map

0.00%

Uptime · ours

Avg deploy

Pager nights · Q1

Load Bal.

Web

API

Worker

Cache

RPS2,341

P9538ms

ERR0.02%

The problem

Your infra works until it doesn't.

Then it's 2 AM, your only sysadmin is on vacation, and the runbook says "ask Mike."

73%

of outages

Are caused by deploys, not bugs.

No canary, no rollback, no health gates. The same push-to-main that worked yesterday took the site down today.

34%

avg cloud overspend

You're paying for capacity you never used.

Right-size instances, prune zombie volumes, kill the test environment from 2023. We've never not found 6 figures.

4.2 h

avg on-call response

Is too long. PagerDuty rang at 03:47.

The right page wakes the right engineer with the right runbook. Mean-time-to-acknowledge under 15 minutes, every time.

Live infra map

Every service. Every event. One screen.

What your engineers see at 11 AM. What our on-call sees at 3 AM. Same view, same data, same playbook.

Services · 12

web/
api/
payments/
search/
auth/
workers/
db/
cache/
queue/
cdn/
watchdog/
load-bal/

WATCH

WEB

API

AUTH

PAY

SRCH

WRK

CACHE

CDN

Event stream

99.99%

Uptime · 30d

Deploys · today

Incidents · live

MTTR · 30d

Our process

Four phases. Zero downtime.

From audit to handover, the production traffic never stops moving.

Week 1

Audit

Current infra, cost, gaps, security posture. We produce the architecture diagram you've been promising the board.

deliverable: PDF + Notion

Weeks 2–3

Design

Target architecture, IaC plan, cost projection. Terraform / Pulumi modules drafted, runbooks scoped.

deliverable: IaC repo

Weeks 4–6

Migrate

Blue-green cutover, DNS-level shift, traffic mirrored before switch. Old infra stays warm for 14 days.

zero-downtime

Ongoing

Operate

24/7 monitoring, on-call rotation, monthly cost & SLO review. Runbooks alive — not Confluence-rotted.

SLO ≥ 99.95%

Capabilities

The whole DevOps stack, production-hardened.

From commit to production in 47 seconds.

Git push triggers tests, build, staging, e2e, prod — in that order, with health gates between every stage. Rollback is automatic.

git push

→

tests

→

build

→

staging

→

e2e

→

prod

Everything in code

Terraform, Pulumi, Helm. No click-ops, no "I forgot which knob I turned."

The right page

PagerDuty rotation, escalation policies, runbooks linked. Pages the human who can actually fix it.

SLOs that hold

Error budgets enforced — if we burn the budget, deploys stop. The math holds the discipline.

Secrets done right

Vault, Doppler, AWS Secrets Manager. Rotation policies. No .env in the repo, ever.

Cost optimization

Reserved instances, spot fleets, scheduled scaling. We've never not found 6 figures.

Compliance baked in

SOC 2, HIPAA, PCI — controls wired from day one, not retrofitted before the audit.

Our stack

Cloud-agnostic. Outcome-obsessed.

Cloud

AWSGCPAzureHetznerDigitalOcean

Orchestration & IaC

KubernetesDockerTerraformPulumiHelmArgoCD

Observability

DatadogGrafanaPrometheusLokiSentryPagerDuty

CI/CD

GitHub ActionsGitLab CICircleCIBuildkite

Why D1VERSY

Compared to the other ways to run infra.

	D1VERSY	Solo SRE hire	Big cloud consultancy	Managed PaaS
Time to first runbook	1 week	3 months	2 months	n/a
24/7 on-call included	●	○	◐	◐
Multi-cloud expertise	●	◐	◐	○
Cost optimization audit	●	◐	●	○
SOC 2 / HIPAA-ready	●	◐	●	◐
Lock-in	None	Person	Vendor	Platform