CI/CD pipeline design and implementation
Automated build, test, and deployment pipelines with quality gates, branch protection, and rollback procedures.
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Cloud ConsultingDevOps
Deployments should be boring. Cloud bills should be explainable.
Pipelines, environments, monitoring, cost controls, and runbooks shaped around how your product reaches production.
What we build
The path from code to production, made visible.
We design and repair CI/CD, infrastructure, observability, backups, incident response, and the routines that keep releases calm.
Container orchestration
Kubernetes, ECS, or Docker Compose depending on scale and complexity. Right-sized for the actual workload.
Infrastructure as code
Terraform or Pulumi for all cloud resources, with state management and environment separation built in.
Cloud cost optimisation
Resource tagging, budget alerts, reserved instance analysis, and rightsizing based on actual usage data.
Monitoring, logging, and alerting
Observability stack with structured logging, metrics dashboards, and on-call alerts tied to SLOs.
Disaster recovery and backup strategy
RTO and RPO targets defined, backup procedures tested, and runbooks written for the scenarios that will happen.
Security hardening
Least-privilege IAM, secrets management, network security groups, and vulnerability scanning in the pipeline.
On-call runbooks and incident response
Documented procedures for the failures you can predict, so the 2am incident is handled without improvisation.
Where this fits
A deployment should be boring. If it is not, the pipeline needs work. That is the entire goal.
Good fit
- Teams with infrastructure that works until the moment it really needs to.
- Products where deployment, monitoring, cost, and reliability have become founder problems.
- Businesses moving from manual servers to repeatable environments.
Not the right job
- A desire to add Kubernetes because it sounds serious.
- Infrastructure changes without someone accountable for operating the result.
How the work moves
Three visible checkpoints, no mystery middle.
First milestone
Current-state map, risk list, cost review, and first automated deployment or monitoring fix.
Timeline
Audit and first remediation usually take 2-6 weeks; deeper platform work is phased.
Handoff
Infrastructure code, runbooks, access model, incident notes, and cost monitoring guidance.
Build, deploy, observeCloud Consulting
01Repo
02Pipeline
03Runtime
04Metrics
05Alerts
CostScaleAlerts
Technical shape
Proof it can survive the handoff.
Automate the scary things first
Manual deployments and database migrations are where incidents happen. These are automated before anything else.
Cost visibility before optimisation
Tagging, budget alerts, and usage data before making optimisation claims. Numbers first, recommendations after.
Runbooks before incidents
Documentation for the inevitable failure, written while it is not an emergency and someone can think clearly.
AWSAzureGCPTerraformKubernetesDockerGitHub ActionsDatadogGrafana
Practical outcomes
After this, you have something concrete.
Repeatable deployments
Releases become a process people trust, not a calendar event everyone fears.
Costs you can explain
Waste, idle resources, and scaling assumptions are made visible.
Useful alerts
Monitoring is tuned around symptoms that matter, not a wall of noise.
Start with the problem
Tell us what is not working.
One sentence or ten. We will tell you if this is a good fit, what we would look at first, and whether a smaller move makes more sense.