Service
Multi-Tenant SaaS Architecture, Scaling and DevOps
Most scaling problems are architecture problems wearing an infrastructure costume. I design systems so that adding a tenant, a data source or a region is configuration, not a rewrite, then automate the path to production so deploys are routine.
At Comlink I introduced Dockerized CI/CD that cut deployment time by about 60% and reduced incidents. At SL Tech the pipelines support 25+ deploys a week across staging and production.
What you get
Tenant isolation, roles and reporting designed in from day one.
Data pipelines that normalize many sources into one model.
Deploys measured in minutes, with rollbacks that work.
Observability and runbooks so the on-call engineer sleeps.
Deliverables
- 01
Architecture review and target design with migration plan
- 02
Multi-tenant data model and access control
- 03
Service boundaries and integration contracts
- 04
Dockerized CI/CD (GitHub Actions, Jenkins) and environments
- 05
AWS or Coolify infrastructure, Terraform where it pays off
- 06
Monitoring, alerting and incident runbooks
Stack
- AWS
- Docker
- Terraform
- GitHub Actions
- Jenkins
- Coolify
- Nginx
- Redis
- MySQL
- PostgreSQL
Where I've done this
- Built at Comlink
ACP Multi-Tenant CRM
Multi-tenant SaaS CRM for the US federal Affordable Connectivity Program, tested on 50,000+ customers and used by about 10 provider companies.
- Built at SL Tech
REConnect
Real estate MLS data platform serving 100+ brokerages and 20,000+ agents, with AI agents handling about 90% of support tickets.
- Contract
Cybersecurity Compliance Platform
Security posture management SaaS with 30+ tool integrations (SIEM, scanners, cloud providers), compliance dashboards and automated audits.
- Contract
Lead Generation Platform
Multi-campaign lead-gen SaaS with landing page builder, CRM, call center and lead validation (AML, credit checks), handling 2M+ daily leads across 20+ concurrent campaigns.
FAQ
Do you do fractional architecture work?
Yes. A common shape is a short audit, a written target architecture, then a few hours a week guiding the team through it.
AWS or something simpler?
Whichever fits the team. I've run ECS, EC2 and RDS on AWS, and I've moved smaller teams to Coolify on a single VPS when that was the right size.
Can you reduce our cloud bill?
Often. Rightsizing, caching and removing accidental duplication usually pay for the engagement, but I'll say so if there's nothing to save.