CloudForge designs and builds CI/CD deployment systems for teams that need speed without chaos. Every release should show the change, owner, artifact, environment, approval, health signal and rollback path.
Build automation is not the same as controlled delivery. We keep your CI tool where it shines, then design the release layer that handles approvals, environments, secrets, audit trails and production recovery.
CI tools are excellent at building and testing code. Trouble starts when every deployment rule, approval, secret, script and rollback path gets buried inside build jobs.
A real deployment system separates build from release, promotes immutable artifacts and gives every environment the same controlled path to production.
Continuous Integration tools are the start. Continuous Delivery needs release orchestration, deployment automation, runbook automation, environment progression, approval gates, configuration management, deployment strategies, audit trails and operational visibility.
CI/CD deployment starts clean, then every environment, approval, tenant and rollback becomes another custom script.
Application source code repositories
Continuous Integration (CI) platforms
Deployment logic lives inside one-off scripts and CI jobs.
Different deployments for different customers or locations
AWS
Azure
IIS
Google Cloud
VMware
KubernetesKubernetes, VMs, edge devices, SaaS tenants and anything else
One deployment architecture handles release orchestration, deployment automation, runbook automation, approvals, RBAC, audit trails and production recovery.
Application source code repositories
Continuous Integration (CI) platforms
Continuous Delivery (CD) platform
AWSAzureIISGoogle CloudVMwareKubernetesKubernetes, VMs, edge devices, SaaS tenants and anything else
Integrates with the tools your team already uses
Slack
ServiceNow
Jira
DatadogThe goal is not a pretty pipeline screenshot. The goal is a release path that is fast, observable, secure and easy for engineers to use every day.
Branching strategy, reusable workflows, environment promotion and artifact flow designed around how your team actually ships.
Unit, integration, contract, security and policy checks placed where they catch risk without turning delivery into a queue.
AWS, Azure, GCP and Kubernetes releases with health checks, secrets, environment config and deployment safety built in.
Canary, blue-green, feature flags and traffic shifting so new releases earn production traffic instead of gambling with it.
Fast reversions, database migration discipline and incident-ready runbooks for the moments when production says no.
Self-service templates, preview environments and clear pipeline feedback so engineers know what failed and how to fix it.
A strong CI/CD architecture makes every release traceable. It answers who changed what, which tests ran, what artifact was deployed, what config changed and how the system will recover if the release goes bad.
We do not force one toolchain onto every team. We choose the architecture that matches your runtime, compliance needs, release volume and current engineering habits.
The standard path for web apps, APIs and workers that need repeatable builds, traceable artifacts and safe promotion.
The clean model for EKS, AKS, GKE or self-managed clusters where the desired state lives in Git and drift is visible.
A governed route for Terraform, OpenTofu, CloudFormation or Bicep with plans, approvals and policy checks.
The right release pattern depends on risk. A marketing page, a payment service and a database migration should not all move through production the same way.
Run the new version beside the current one, validate it, then switch traffic with a clean fallback path.
Expose a release to a small slice of traffic first and scale it only when health, latency and error budgets agree.
Separate deploy from release so teams can ship code, test safely and turn features on when the business is ready.
Give every pull request a real environment with app, data and infrastructure context before it reaches staging.
We can modernize what you have or design the next platform. Either way, the architecture stays portable, documented and owned by your team.
See related workWe document how code moves today, where people wait, where quality is checked and where deployments break.
You get a clear pipeline and deployment architecture with tools, gates, environments and rollback rules spelled out.
We implement reusable workflows, IaC modules, secrets handling, artifact flow, release gates and observability hooks.
Your team gets templates, runbooks, dashboards and working sessions so the platform keeps improving after launch.