Cloud, DevOps & Hosting for SaaS & Software Products
Deploys are batched fortnightly because each one is risky, so every release contains too many changes to debug.
DevOps work covers the pipeline from a developer's commit to production: automated builds and tests, staged deployments, infrastructure defined as code, monitoring, alerting, backups and disaster recovery. For a SaaS company, the work is judged on a qualified trial or demo that converts to a paid plan. Automated tests, preview environments per pull request, and a one-click rollback.
What is costing you money today
Deploys are batched fortnightly because each one is risky, so every release contains too many changes to debug.
Treating sign-ups as the goal, so the site and the ads fill the funnel with people who will never pay and hide the real acquisition cost.
What changes once this is in place
Automated tests, preview environments per pull request, and a one-click rollback.
How saas & software products actually buys
Self-serve in a day, sales-assisted over one to three months with a security review and a procurement step near the end.
- The unit of value
- a qualified trial or demo that converts to a paid plan
- The common mistake
- Treating sign-ups as the goal, so the site and the ads fill the funnel with people who will never pay and hide the real acquisition cost.
- What we do instead
- Define the activation event that predicts payment, instrument it, and optimise acquisition against that instead of against sign-ups.
What it has to talk to
A build for a SaaS company is mostly integration work. These are the systems we expect to exchange data with:
- Stripe / billing
- Product analytics
- CRM & sequences
- Auth & multi-tenancy
- Data warehouse
The words your buyers actually use
Generic service copy loses to copy written in the vocabulary of the vertical. These are the terms that carry intent here, and the ones the pages we build are structured around:
- free trial
- pricing per seat
- integrations
- SOC 2
- onboarding
- churn
- self-serve vs demo
The rules this sits under
GDPR for any EU user, SOC 2 evidence demanded by enterprise buyers, and data-residency commitments that constrain where you deploy.
What you get
- Infrastructure audit — What is running, what it costs, what is exposed, what is backed up, and what would happen if the main instance disappeared tonight.
- CI/CD pipeline — Build, test, preview per pull request, staged deploy and one-command rollback.
- Infrastructure as code — Terraform or the platform's own definitions, in version control, reviewed like any other change.
- Environments — Development, staging and production that genuinely match, with data seeded rather than copied from production.
- Monitoring and alerting — Uptime, error rates, latency and business metrics, with alerts routed to the channel your team reads.
- Backups and disaster recovery — Automated backups with a documented, rehearsed restore. An untested backup is a hope.
- Security baseline — Least-privilege access, secret management, dependency scanning and TLS handled properly rather than annually.
- Cost optimisation — Tagging, right-sizing, storage tiers and a monthly report attributing spend to something a manager recognises.