Cloud, DevOps & Hosting for Professional Services
Client environments configured differently, so every project has its own bespoke deployment problem.
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 professional services firm, the work is judged on a booked consultation with someone who can sign. One templated pipeline and infrastructure pattern reused across projects.
What is costing you money today
Client environments configured differently, so every project has its own bespoke deployment problem.
A site full of adjectives and no evidence, which loses to a competitor with three specific case studies and a named team.
What changes once this is in place
One templated pipeline and infrastructure pattern reused across projects.
How professional services actually buys
Two weeks to two months, decided on credibility and referral more than on price, with the website acting as the reference check.
- The unit of value
- a booked consultation with someone who can sign
- The common mistake
- A site full of adjectives and no evidence, which loses to a competitor with three specific case studies and a named team.
- What we do instead
- Publish the work, the method and the people. In this vertical the proof is the product.
What it has to talk to
A build for a professional services firm is mostly integration work. These are the systems we expect to exchange data with:
- CRM
- Calendar booking
- Proposal software
- Email sequences
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:
- case studies
- our process
- book a consultation
- retainer vs project
- team credentials
The rules this sits under
Professional advertising rules vary by body — legal and accounting practices in particular have restrictions on solicitation and on claims of expertise.
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.