Zero-Downtime Release Pipeline Offer (10-15 days)
A productized engagement that moves a client from manual FTP-and-pray releases to an automated, rollback-capable deployment pipeline with infrastructure defined as code. Agencies sell the outcome (release frequency and error reduction), not the tooling. Time: 10-15 days.
By InnovaAI ResearchPublished
How do you implement it?
Zero-Downtime Release Pipeline Offer (10-15 days)
A productized engagement that moves a client from manual FTP-and-pray releases to an automated, rollback-capable deployment pipeline with infrastructure defined as code. Agencies sell the outcome (release frequency and error reduction), not the tooling.
- Client grants read access to the primary Git repository and at least one staging server; a named client-side release owner is available for two 45-minute checkpoints per week; the current deploy process is documented or screen-recorded before kickoff; hosting credentials and DNS control are handed over under a temporary access agreement.
- 1.Map the current release path from commit to production and time each manual step
- 2.Count production incidents over the trailing 90 days and tag which ones trace to a manual change
- 3.Confirm the client's compliance constraints (data residency, audit logging, change approval)
- 1.Select the automation stack against the compliance constraints, not against feature count
- 2.Decide build-versus-buy for the pipeline runner and document the reasoning in one page
- 3.Agree the rollback target: how many seconds until the previous version is live again
- 1.Stand up the staging environment from a versioned infrastructure definition
- 2.Wire the repository to trigger a build on every merge to the main branch
- 3.Add environment variables and secrets to a managed store rather than the repo
- 1.Write the build step so it fails loudly on a broken dependency or failing test
- 2.Add a smoke test that hits the three highest-traffic routes after each deploy
- 3.Record baseline build duration so the client can see the before-and-after
- 1.Configure the zero-downtime release mechanism (symlink swap, blue-green, or rolling)
- 2.Test a one-click rollback and time it end to end
- 3.Document the rollback runbook in plain language for a non-engineer on-call
- 1.Migrate the first non-critical service to the new pipeline as a rehearsal
- 2.Capture logs and metrics from the rehearsal deploy for the client's observability stack
- 3.Fix any credential or permission gaps surfaced by the rehearsal
- 1.Move the primary client application onto the pipeline during a low-traffic window
- 2.Keep the legacy deploy path available for 72 hours as a fallback
- 3.Notify the client's support team with the new release cadence and escalation path
- 1.Add a feature-flag layer so risky changes ship dark and enable without redeploy
- 2.Define which change classes require a flag and which can ship directly
- 3.Train two client engineers to toggle and clean up flags without agency involvement
- 1.Automate the nightly backup and verify a restore into a scratch environment
- 2.Set alert thresholds for failed builds and failed health checks
- 3.Route alerts to the client's existing on-call channel, not a new one
- 1.Run a full release cycle with the client driving and the agency observing
- 2.Log every manual step that remains and assign an owner and a removal date
- 3.Hand over the pipeline documentation and the access inventory
- 1.Deliver the 30-day optimization backlog ranked by release-time saved
- 2.Present the before-and-after metrics: deploy duration, rollback time, incident count
- 3.Convert the remaining backlog into a monthly retainer scope with a fixed fee
Agencies can charge setup fees in the five-figure range because the deliverable is measured in release hours recovered and production incidents avoided, both of which the client can quantify against their own engineering payroll. The recurring retainer is defensible because pipelines decay: dependencies drift, credentials rotate, and new services need onboarding, so the maintenance work is continuous rather than a one-time build. Margin comes from templating the pipeline across clients, which cuts the second and third engagements to roughly half the hours of the first.
- Versioned infrastructure definition covering staging and production environments
- CI/CD pipeline configuration with build, test, and deploy stages committed to the client repository
- Rollback runbook and a timed rollback test result
- Feature-flag policy document naming which change classes require a flag
- Before-and-after release metrics report with deploy duration, rollback time, and incident count
The client's engineering team has shipped at least one production release through the automated pipeline and executed one successful rollback without agency assistance.