- Illustrative example
- Case T-02, Europe
A subscriber backend re-platformed to Kubernetes
In this illustrative example, 7 engineers would move a European operator’s subscriber backend to Kubernetes and would share its on-call from Cairo. It would serve 10M+ users at 99.95% availability.
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99.95%
availability
In short
Case T-02 is an illustrative example the subscriber backend a Remote Pro Ai squad would re-platform for a telecom operator in Europe. 7 engineers would move it to Kubernetes with autoscaling, observability and chaos testing, then would take on follow-the-sun on-call from Cairo. The backend would serve more than 10 million users at 99.95% availability, with P1 incidents down 60%.
In this illustrative example, a European operator’s subscriber backend falls over under load. 7 engineers would move it to Kubernetes and would share its on-call.
Campaign days without outages
Client (illustrative)
A telecom operator, Europe
Team
7 engineers · 18 months, ongoing
Model
Team Extension
Data pattern
Pattern B, the operator’s EU cloud region
Stack
Kubernetes · Terraform · Argo CD · Prometheus · Grafana · OpenTelemetry · Redis · CDN · Chaos Mesh · Go · Java
Assembled in
4 working days
Every marketing campaign a stress test
In this example, the backend behind the operator’s self-care app, plan changes and top-ups runs on manually scaled virtual machines. Campaign launches and billing days push it past capacity, and outages follow.
The operator’s own platform team is small and tired of night-time pages. It wants a platform that scales itself, clear service-level objectives and a partner to share on-call, with subscriber data staying in the EU.
- Peak traffic several times the daily baseline on campaign days
- Subscriber data must remain in the operator’s EU region
- Service-level objectives agreed and published internally
- On-call shared without lowering response standards
7 engineers, assembled in 4 working days
| Role | Level | Count | Location |
|---|---|---|---|
| Platform lead | Lead | 1 | Cairo |
| Site reliability engineers | Senior | 2 | Cairo |
| Platform engineers, Kubernetes | Senior | 2 | Cairo |
| Backend engineers (Go, Java) | Senior | 2 | Cairo |
Cairo overlaps the full European working day, and a Cairo on-call rota covers European evenings and nights.
SLOs first, migration second, chaos third
Months 1–3
Service-level objectives agreed, an observability baseline built and the Kubernetes platform provisioned in the operator’s EU region.
Months 4–9
Services migrated with autoscaling, a cache layer and progressive rollouts through Argo CD.
Months 10–12
Chaos game days, runbooks for every failure mode and capacity models for campaign planning.
Ongoing
Follow-the-sun on-call from Cairo and capacity reviews before every major campaign.
- Operating rhythm
- 2-week sprints inside the operator’s backlog · weekly executive report every Friday · monthly steering · continuity target: zero unplanned turnover across 18 months.
Results
99.95%
availability
–60%
P1 incidents
10M+
users under load
- These figures are illustrative
- they show the kind of result this squad model is built to deliver, not a verifiable named-client record. Availability is measured against the agreed service-level objective over the trailing 12 months, from the operator’s monitoring. P1 incidents compare the operator’s incident register before and after migration. User count is active subscribers served by the backend.
About this case
Illustrative example
No client quote: this is an illustrative example
This is an illustrative example. No client is named, and the figures show the kind of result this squad model delivers, not a verifiable named-client record. On a scoping call you can ask for a reference under NDA from a comparable engagement, subject to that client’s consent.
Compliance this squad would handle
- GDPR processor terms; subscriber data stays in the operator’s EU region (Pattern B)
- Zero-trust access from Cairo with every session logged
- Just-in-time privileged access for on-call engineers
- NIS2 supply-chain and incident-notification controls mapped
Related roles & practices
Frequently asked questions
20 minutes with a solutions architect. No sales script.
Cairo is 1 hour ahead of Central European Time, so the squad overlaps the operator’s full working day. On-call rotations hand over at fixed times with a written status note, and Cairo engineers cover evenings and nights through just-in-time access to production, with the operator’s team as second line.
Service-level objectives tell everyone what good looks like before anything changes. They set the alert thresholds, the autoscaling targets and the error budget for releases. Without them, the operator could not prove that the new platform is better, only that it is different.
No. Engineers work inside the operator’s EU cloud region through zero-trust access, with every session logged. Subscriber data stays in that region. This is Pattern B in our data-residency model, written into the statement of work and backed by GDPR processor terms.
An operator like this already has a platform team and a backlog; it needs more SRE and Kubernetes capacity and a partner to share on-call. Under Team Extension, the 7 engineers work inside the operator’s backlog and sprints, while Remote Pro Ai stays accountable for selection, quality and continuity.
Each chaos game day starts in a test environment with a written hypothesis and a stop condition. Only experiments that pass there move to production, inside agreed windows and with the operator’s team informed. Injected failures include node loss, added latency and dependency outages. Every result feeds a runbook, so on-call engineers have a tested response for each failure mode.
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No sales script.