Cloud Support
Azure and AWS architecture, DevOps, and 24×7 ops — bills you can predict.
Where teams get stuck
Cloud bills creep, deploys break, and incidents page someone at 3 AM. Most teams notice the cost or reliability problem one quarter too late, and 'we should hire a platform engineer' becomes a six-month search.
What we build
End-to-end Azure and AWS architecture, IaC, CI/CD, observability, and a 24×7 on-call posture — with anomaly detection on cost and metrics baked into the platform so surprises arrive before the customer sees them.
How cloud support actually works at Codult
Cloud support is a catch-all word that hides three very different jobs: architecting the platform, running it day-to-day, and keeping the bill from outrunning the business. We do all three, and we don't hand off the boring parts.
On the architecture side we standardize on Azure landing zones (Bicep or Terraform) for enterprise clients and AWS Well-Architected for product-led builds. CI/CD is GitHub Actions, observability is OpenTelemetry into Azure Monitor / CloudWatch / Grafana, and security baselines (Defender, Key Vault, IAM least-privilege) ship as defaults, not as a follow-up sprint.
Cost optimization is the work most teams underestimate. We audit your workload, tag every resource to an owner, baseline cost-per-request, and run a savings plan with impact-tested moves — right-sizing, reserved instances, egress routing, log retention, and zombie cleanup. Typical first-quarter savings land between 20% and 40% without changing user-facing behavior.
Day-to-day we offer a managed retainer with response-time SLAs, weekly reliability + cost reports, and an on-call rotation that doesn't require you to hire a platform engineer. AI anomaly detection on cost and metric streams catches the leak before it compounds, and an LLM-assisted incident summarizer turns post-mortems into a 90-second job.
Features, with AI baked in.
What you get
- Azure or AWS landing zone with IaC (Terraform / Bicep)
- GitHub Actions CI/CD with environment promotions
- Observability: traces, metrics, logs, SLOs
- Cost audit + savings plan with prioritized moves
- Optional 24×7 on-call with weekly reliability reports
Who this fits
- Engineering leaders staring at runaway cloud bills
- Teams without a dedicated platform engineer
- Businesses migrating from on-prem or VPS to cloud
- Products needing 24×7 uptime without hiring on-call
How an engagement runs
- 01 · Weeks 1–2
Audit
Workload map, ownership tags, cost baseline, prioritized savings plan.
- 02 · Weeks 3–6
Platform
Landing zone, IaC, CI/CD, security baselines, observability.
- 03 · Weeks 7–10
AI ops
Anomaly detection, cost dashboards, incident summarization.
- 04 · Week 11+
Managed
Optional 24×7 on-call with weekly reliability + cost reports.
The stack
Common questions
Azure or AWS — which one should we use?+
Depends on the workload, your existing licenses, and where your team is most fluent. We're certified on both. For Microsoft-heavy enterprises Azure usually wins on TCO; for product-led startups AWS still has the deepest service catalog.
Can you cut our cloud bill without breaking anything?+
Most audits find 20–40% in safe savings: right-sizing VMs, killing idle resources, reserved instances, and fixing egress routes. We move only after impact-testing each change.
Do you offer 24×7 on-call?+
Yes — as a managed retainer with response-time SLAs and weekly reliability reports.
What does the observability stack look like?+
OpenTelemetry for traces, Azure Monitor / CloudWatch / Grafana for metrics, structured logs into Log Analytics or OpenSearch. AI anomaly detection runs on top.
Can you migrate us from on-prem or a VPS?+
Yes — we run discovery, dependency mapping, and a phased cutover with rollback at every step. Most migrations land in 4–10 weeks depending on footprint.
Ready for Cloud Support?
Send us a one-line brief. We'll come back with an architecture sketch and a path forward.