Most DevOps failures are not tooling problems — they are design problems.
Platonic.Systems provides DevOps managed services for teams that need infrastructure to be reliable, reproducible, and correct by design. We move beyond ad-hoc automation and fragile pipelines to build systems that behave predictably under change, scale, and pressure.
Automation should reduce risk — not introduce it. We design CI/CD pipelines and deployment systems that fail fast and visibly, are easy to reason about, and can be safely changed over time.
Our DevOps pipelines are built with correctness in mind: Immutable infrastructure, explicit dependencies, and deterministic builds. This drastically reduces “unknown unknowns” in production.
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We use Nix and NixOS to define infrastructure declaratively. Every system state is versioned, reproducible, and rollback-safe.
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Platonic.Systems is our go-to developer partner when we need to solve complex and complicated use cases. They truly add a tremendous amount of value during use case development and proof of concept iterations that have helped us advance with our computer vision and machine learning opportunities.
Build production-ready infrastructure early, avoid costly rewrites later, and maintain stability while shipping faster. DevOps that grows with your business, not against it.
We provide cloud DevOps for teams on AWS, GCP, or hybrid environments. Infrastructure as code, secure architectures, reproducible environments, and cost-aware system design.
Infrastructure architecture and redesign, CI/CD pipeline implementation, monitoring and observability setup, disaster recovery strategies, and team onboarding.
Engineering-led startups, teams managing complex production systems, companies with high reliability requirements, and organizations tired of fragile DevOps setups.
DevOps services encompass CI/CD pipeline design, infrastructure automation, deployment systems, and operational tooling. At Platonic.Systems, we approach DevOps through Nix and functional programming principles — meaning deterministic builds, reproducible environments, and infrastructure that behaves identically across development, staging, and production.
Managed DevOps means we handle ongoing infrastructure operations rather than just project-based work. This includes pipeline maintenance, system monitoring, incident response, and continuous improvement. It's a good fit if you want infrastructure expertise without hiring a dedicated team.
The main improvements are speed, reliability, and confidence. With Nix-based pipelines, builds are reproducible — same inputs always produce same outputs. Deployments become rollback-safe. Your team stops debugging "works on my machine" problems and starts shipping features.
We use Nix and NixOS as the foundation. Unlike traditional configuration management (Ansible, Puppet, Chef), Nix provides true reproducibility — your entire system state is declared in code and can be rebuilt identically at any time. Combined with functional programming principles, this eliminates configuration drift and makes infrastructure changes predictable and auditable.
Regulated industries need auditability and traceability. Nix-based infrastructure provides both: every system state is versioned, every change is tracked, and any historical configuration can be recreated exactly. We work with fintech companies like Mercury and law firms like Holland & Hart where these properties are non-negotiable.
Yes. We offer retainer-based managed services for organizations that want continuous DevOps expertise without full-time hires. This includes pipeline maintenance, infrastructure evolution, on-call support, and regular system improvements.
They're the same thing for us. Nix IS our DevOps approach. The declarative, functional nature of Nix means infrastructure is defined as pure functions over inputs — predictable, composable, and testable. See our NixOS consulting page for details on the Nix ecosystem.
Look for demonstrated expertise in reproducible infrastructure, not just familiarity with popular tools. Ask how they handle configuration drift, environment parity, and rollback scenarios. If "it works on my machine" is still a problem in their workflow, keep looking.
