Deployments depend on people
Manual steps, tribal knowledge and one-off scripts make releases slow and fragile.
All servicesCI/CD and Platform Engineering
Build a DevOps platform that helps engineers ship faster without gambling with production.
We design and implement CI/CD, infrastructure as code, GitOps, observability, security gates and platform workflows that remove manual release work and give product teams a paved path to production.
The symptoms behind the search
Infrastructure drifts
ClickOps and unmanaged changes make cloud environments hard to reproduce, audit and recover.
Security arrives late
Security checks at the end of delivery create emergency fixes instead of controlled quality gates.
How we approach it
DevOps consulting should improve the delivery system, not merely replace the CI tool
Software delivery performance is shaped by the whole path from code review to production recovery. A fast pipeline does not solve long approval queues, inconsistent environments, unsafe secrets, oversized releases or a platform only one engineer understands.
CloudForge maps the current value stream, measures waiting and failure, and designs a paved path for the common service lifecycle. The path combines continuous integration, immutable artifacts, environment promotion, infrastructure as code, observability, security controls and a tested recovery strategy.
We improve existing GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Argo CD, Terraform and Kubernetes environments when they fit. Tool replacement is recommended only when the operating constraint cannot be resolved cleanly in the current stack.
Continuous integration
Create fast, diagnostic feedback and a reproducible artifact without turning the workflow into an unmaintainable script.
- Trunk-based or short-lived branch workflows
- Layered test, quality and security checks
- Artifact provenance, caching and dependency control
Continuous delivery
Promote the same tested artifact through controlled environments with clear validation and recovery.
- Rolling, canary and blue/green deployment
- Environment approvals and separation of duties
- Automated rollback or roll-forward paths
Infrastructure and platform engineering
Give teams reusable cloud foundations instead of tickets and one-off environment builds.
- Terraform and OpenTofu module design
- GitOps for applications and cluster services
- Golden paths, templates and self-service workflows
DevSecOps and measurement
Embed proportionate security and collect delivery metrics that reveal system constraints.
- Secrets, SAST, image and policy controls
- SBOM and software provenance
- DORA metrics, adoption and workflow telemetry
Practical deliverables, not just advice
The output is designed for engineering teams that need to act: roadmaps, controls, dashboards, automation, runbooks and implementation support.
CI/CD architecture
Reusable workflows, environments, approvals, artifacts, rollback paths and deployment automation.
Infrastructure as code
Terraform or OpenTofu modules for cloud accounts, networking, Kubernetes, databases and application platforms.
GitOps platform
Argo CD or Flux flows for Kubernetes applications, cluster add-ons, environment promotion and drift detection.
DevSecOps controls
Secrets handling, SAST, image scanning, policy checks, SBOMs and audit trails embedded in delivery.
Outcomes your team can keep improving
Shorter lead time
Waiting, rework and manual environment steps are removed from the critical path.
Safer releases
Small changes, progressive delivery and recovery paths reduce production risk.
Reproducible infrastructure
Cloud and platform configuration can be reviewed, rebuilt and audited.
Developer self-service
Teams use supported templates without depending on a central operator for routine delivery.
This engagement is a strong fit when
- Deployments depend on manual steps or a small number of people
- Pipeline sprawl makes security, testing and maintenance inconsistent
- Infrastructure drift prevents environments from being reproduced
- A platform team needs a paved path that product teams will actually adopt
Principles that guide the work
- Map waiting time and failure before selecting new tooling
- Build an artifact once and promote it through environments
- Make the supported path easier than custom delivery
- Measure service-level trends instead of ranking individual engineers
From first look to handover
Map delivery
We document how code, infrastructure, approvals and incidents work today.
Design the paved path
We define the standard release route, tooling, templates, gates and ownership model.
Implement
We build workflows, modules, dashboards and guardrails with your team in the loop.
Enable
We hand over docs, templates and working sessions so teams can ship independently.
Tools we can work with
Improve the stack you already have
We usually make your current tools cleaner before recommending a switch. The goal is a better operating model, not a shiny tool migration.
- GitHub Actions
- GitLab CI
- Azure DevOps
- Jenkins
- Argo CD
- Flux
- Terraform
- OpenTofu
- Kubernetes
- Docker
- Vault
- Snyk
- Trivy
Research the decision before the call
Use these practical CloudForge guides to understand the operating model, tradeoffs and next steps connected to this service.
DevOps and SRE operating modelConnect CI/CD, platform practices, DORA metrics, SLOs and incident learning.Platform engineering golden pathsDesign supported self-service workflows that teams choose to use.DevSecOps pipeline securityBuild trusted artifacts, useful security evidence and proportionate release controls.Internal developer platform strategyChoose what to build, buy and integrate around validated developer workflows.
Questions
What people ask before we start
Yes. We usually improve what teams already use before recommending replacement. GitHub Actions, GitLab CI, Azure DevOps, Jenkins, Argo CD and Terraform are all common.
This page covers the wider DevOps platform. The CI/CD page goes deeper into release architecture, deployment automation and delivery patterns.
Yes. Handover, pairing, documentation and templates are part of the engagement because the platform should belong to your team.
Not by default. We first identify constraints in workflow design, ownership, tests, environments and recovery. A tool change is proposed only when the current platform creates a material limitation.
Yes. We create reusable building blocks and a supported paved path, then define an exception process for workloads with different requirements. Standards should reduce work, not centralize every decision.
We baseline service-level delivery metrics such as change lead time, deployment frequency, failed deployment recovery time, change fail rate and rework, then connect movement to specific workflow changes.
Ready to turn this into a working plan?
Book a 30-minute call and we will define the fastest path to measurable cloud savings, safer releases or a more reliable platform.