CI/CD design and hardening
A reviewable path from an approved change to a deployed release: pipeline design, automated checks, artifact provenance, and the evidence a reviewer needs before production changes.
Cloud & DevOps
Make the path from approved change to reliable release easier to operate.
Teams whose deployments are manual, environments drift, release evidence is weak, or recovery responsibilities are unclear.
problems
The situations this service is built for
- Deployments that depend on one person's laptop and memory, so releases slip whenever that person is unavailable.
- Development, staging, and production environments that have drifted apart, so a change that passed testing behaves differently in production.
- No release evidence: nobody can show which commit is running, what was tested, or who approved it.
- A cloud bill for Azure, AWS, or Microsoft Fabric that nobody can explain line by line, and capacity that runs around the clock because pausing it was never automated.
- A backup that has never been restored and a rollback that has never been rehearsed.
typical engagements
Typical engagements
Environment and infrastructure automation
Development, test, staging, and production environments defined as code with Docker, Compose, or Terraform, so drift is visible and reversible.
Cloud cost visibility and scheduling
Budget models with explicit assumptions, pause and resume automation for capacities and non-production environments, and cost reporting in the dashboards the business already reads.
Recovery readiness
Backup verification, restore rehearsals, documented rollback for each release, and health checks and alerts that reach a named person.
capabilities
Where the work can focus
- CI/CD pipeline design and hardening
- Development, test, staging, and production environment design
- Infrastructure and deployment automation
- Health checks, logs, alerts, and release evidence
- Backup, rollback, and recovery-readiness exercises
platforms
Platforms and tooling
Provider and tooling choices follow the approved architecture and the team's operating constraints. Recent delivery has centered on these:
- Microsoft Azure, AWS, Google Cloud, DigitalOcean; Microsoft Fabric capacities
- Docker and Compose, Caddy, Linux, Terraform, GitHub Actions and comparable CI systems
- PostgreSQL and Redis operations, object storage, DNS and TLS, monitoring and alerting
evidence
Proof you can inspect before you ask
StackSpend Lab, a free browser-local planner, demonstrates the budgeting discipline described in the Microsoft Fabric capacity cost article: one capacity rate, an active-hours schedule, and every other cost as a visible line. It runs on your own rates and keeps the scenario on your device.
A first engagement is usually a scoped assessment of the current release path or the current cloud bill: what runs where, what evidence exists for each release, which capacities and environments could pause, and what a restore would take today. The written findings become the acceptance criteria for any implementation that follows.
outcomes
What the engagement is designed to leave behind
- A reviewable path from an approved change to a deployed release
- Separation between testing, staging evidence, and production authorization
- Documented operating and rollback procedures for the delivered scope
boundaries
Delivery boundaries
- Cloud cost, availability, and recovery targets are defined from the selected provider and approved architecture; they are not assumed.
- No certification, security status, or uptime level is implied by automation alone.
- Production access and provider purchases remain owner-controlled decisions.
process
How delivery proceeds
Clarify the operating problem
Identify the outcome, current workflow, constraints, decision owners, and evidence that would make the work useful.
Define a bounded engagement
Choose a scoped technical assessment, a fixed-scope implementation, or explicit ongoing support with responsibilities and acceptance criteria made clear.
Deliver and hand off
Make decisions visible, verify the agreed result, document the operating path, and transfer the knowledge needed to maintain the work.
Next step
Describe the release or operating constraint
Include the current delivery path, environments, failure modes, provider constraints, and the evidence your team needs before production changes.