Designs don't
deploy themselves.
An architecture document is a promise, not a system. We turn design into running infrastructure — OpenTofu modules, Ansible playbooks, LXC containers, and runbooks your team can follow at 3 a.m.. The same principal who drew the topology writes the OpenTofu modules and transfers the build workflow, so your team can rebuild, maintain, and improve it with less routine overhead.
We turn architecture into running infrastructure: versioned OpenTofu modules, idempotent Ansible playbooks, LXC containers sized to the workload, and deployments with rollback baked in. The same principal who designed the system builds it with your team, and every module, playbook, and runbook is handed over through your knowledge base.
The problem
Most architecture documents die on contact with implementation. A vendor hands over a 60-page design, a different team builds it, and the gaps surface in production — the topology that assumed a network segment that doesn't exist, the component that needs a kernel module the base image doesn't ship, the failover that works on paper and fails under load. The design team blames the builders. The builders blame the design. Nobody owns the outcome, and the customer's knowledge base is empty.
We eliminate that gap by not creating it. The engineer who designs the system builds it with your team. There is no translation loss between the architecture and the code, because they are produced by the same hands — and the decisions are captured in your knowledge base as we go. We are a partner in the build, not a body shop that drops a deliverable and leaves.
What we do
Implementation is where infrastructure becomes reproducible and ownable. Everything we build is code — versioned, reviewed, and rebuildable from scratch on a clean host. No snowflake servers, no "it works on this box" state, no configuration that exists only in someone's head. We use build and deployment practices and transfer the workflow to your team, so the build knowledge lives in your repository and your knowledge base, not in a vendor's inbox.
- Infrastructure-as-code. OpenTofu for provisioning, Ansible for configuration, following patterns. Every resource is declared, every change is a pull request, every environment is rebuildable from the repo. Module usage, design decisions, and runbooks are documented in your knowledge base through paired build sessions.
- Containerization. LXC containers for lightweight isolation where full VMs are overkill, and Kubernetes where orchestration earns its complexity. We pick the smallest container runtime that fits the workload, not the trendiest, and we train your team to operate it.
- Deployment automation. Repeatable, idempotent deployments with rollback baked in. A deployment that can't be rolled back isn't finished. Each deployment workflow is captured as a runbook in your knowledge base, turning reactive firefighting into proactive incident prevention.
- Configuration management. Ansible playbooks that converge a host to its declared state — drift detected, not tolerated. Shell scripting where it's the honest tool and Ansible where it's not. Your team gets the playbooks, the rationale, and the skill to extend them.
If a system can't be rebuilt from its repository in under an hour, it isn't infrastructure-as-code. It's infrastructure with a README.— Build principle, applied to every engagement
Deliverables
- OpenTofu modules — versioned, parameterized, and documented using patterns, with examples for each environment and a decision log in your knowledge base
- Ansible playbooks — role-based, idempotent, with inventory and group_vars structured for staging and production, plus runbooks your team can extend
- Deployed environments — staging and production stood up and verified against the architecture, with handoff sessions for your team
- Documented runbooks — the procedures an on-call engineer actually needs, written for 3 a.m. execution and maintained in your knowledge base
- Container definitions — LXC templates or container images, with build pipelines and operating guides in your knowledge base
- Repository and knowledge base handoff — clean Git history, branch protection, a README that gets a new engineer to a working build, and working sessions to transfer the build workflow to your team
Tech we use
We default to LXC over full VMs for most workloads — it gives near-native performance with a fraction of the resource overhead, and it converges faster under Ansible. Kubernetes enters the conversation when there is genuine orchestration demand, not because a resume needs it. Both choices are documented with rationale in your knowledge base, so your team can defend and evolve the design.
Next stage
Running infrastructure is only useful if changes reach it safely. We wire the build into CI/CD pipelines that test, gate, and deploy automatically, with your team owning the workflow and Codyssey accountable for the hard calls. CI/CD & Automation →
Common questions
Who maintains what you build?
Your team — that is the point. Everything is code: versioned, reviewed, and rebuildable from the repository, with runbooks and working sessions to transfer the build workflow. Codyssey stays accountable for the architecture and the hard calls while your team owns the routine.
Why OpenTofu and Ansible?
OpenTofu provisions, Ansible configures — every resource declared, every change a pull request, every environment rebuildable from the repo. We default to LXC over full VMs for most workloads and add Kubernetes only when orchestration genuinely earns its complexity. The rationale is documented in your knowledge base.
What happens if a deployment fails?
It rolls back. A deployment that cannot be rolled back is not finished — rollback is baked into every deployment workflow we deliver, and the procedure is written up as a runbook your on-call engineer can follow at 3 a.m.
Have a design that needs to become a system?
We build what we design alongside your team — one principal, no handoff gap, infrastructure that rebuilds from a repository and lives in your knowledge base. Let's talk if your architecture is ready for code.