Commercial proposal

Confidential DevOps & build environment

Private, self-hosted engineering infrastructure for teams building C++, cloud applications, and local AI—delivered as an auditable, isolated stack you can run in your VPC, on-prem, or on dedicated hardware.

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Executive summary

CI/CD, artifact storage, secrets, and internal docs—without putting source code, build outputs, signing keys, or proprietary datasets into multi-tenant SaaS.

We deliver a confidential-by-default DevOps platform that keeps your IP inside a private network boundary while still giving engineers a fast, ergonomic workflow.

What’s included (reference architecture)

These building blocks are tailored to your topology and constraints.

Core platform

  • Source control + code review: self-hosted Git (GitLab, Bitbucket, Forgejo) with LDAP/AD integration when needed
  • CI/CD: Jenkins or GitLab CI with pipeline/configuration as code for auditability
  • Packages + artifacts (C++): Conan proxy/server, binary retention, and dependency provenance
  • Secrets + PKI: Vault-backed secret delivery, short-lived credentials, and automated TLS issuance/rotation
  • Developer portal: internal wiki for runbooks, architecture docs, and onboarding

Operations baseline

  • Infrastructure as Code: Terraform/OpenTofu (recommended) so environments are reviewable and repeatable
  • Data + storage: PostgreSQL plus NAS/NFS patterns for shared build caches and persistent volumes
  • Backups + restores: runbooks and a validation plan for restore confidence
  • Patch/upgrade cadence: standardized lifecycle actions with clear change control
  • Monitoring hooks: integrations with your observability stack (logs/metrics/alerts)
Optional add-ons: internal SMTP relay for notifications, HA ingress (keepalived + HAProxy), multi-site DR, air-gapped operation, remote dev workspaces, and local AI stacks (Ollama + Open WebUI) that run fully inside your boundary.

Outcomes you can expect

Practical results for speed, control, and operational safety.

Faster builds

Consistent toolchains reduce “works on my machine” failures.

Supply-chain control

Internal artifact hosting with explicit promotion and retention policies.

Reduced credential risk

Secrets stay out of Git; access is scoped and rotated.

Lower operational drag

Standardized lifecycle actions with clear runbooks.

AI enablement without leakage

Local models and assistants operating inside your network boundary.

Security & confidentiality posture

Designed to keep IP, build outputs, and datasets inside your boundary.

Baseline controls

  • Single-tenant / dedicated deployment (no shared control plane)
  • Private networking by default (VPN/peered VPC/on-prem LAN)
  • TLS everywhere with internal CA and managed rotation
  • Least privilege via directory groups and scoped policies

Auditability & ownership

  • Infrastructure + configuration treated as code
  • Reviewable pipeline libraries and system configuration
  • Runbooks for update, rotate, and recover workflows
  • Documentation and handoff so you can own it after delivery

Service package options

Choose a starting point, then add hardening and migration as needed.

Foundation

Identity integration, core DevOps services, backups, monitoring hooks, and documented runbooks.

Build & release (C++ focus)

Conan workflows, build caching strategy, toolchains/agents, and artifact promotion + retention policy.

AI‑Ready

Local model runtime, approved model set, isolated access to repos/artifacts, and usage guardrails.

Add-ons: HA ingress, multi-site DR, air-gapped operation, compliance-oriented hardening, migration from existing CI/SCM, and custom pipeline libraries.

Engagement model (recommended)

Phased delivery to reduce risk and validate workflows early.

  1. Discovery (1–2 weeks): requirements, threat model, target topology, and rollout plan
  2. Pilot (2–4 weeks): minimal stack for one team/project; validate build, release, and access flows
  3. Production rollout (2–6+ weeks): hardening, HA/DR (if needed), migration, documentation, and training
  4. Ongoing operations (optional): patching cadence, vulnerability response, backups/restore tests, and change management

Next steps

Send a few details and we’ll respond with architecture + timeline + quote.

Share

  • Team size, repo count, and build volume
  • Target environment (VPC/on-prem) and constraints (air-gap, compliance)
  • Tooling preferences (Jenkins/GitLab CI, Git platform, artifact strategy)

We respond with

  • Concrete reference architecture and rollout timeline
  • Pilot scope (what we’ll stand up first) and success criteria
  • Firm quote for implementation and optional managed operations
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