M87
Build & Ship·Production infrastructure built the right way, from the first deploy.

DevOps

We design and implement cloud infrastructure, CI/CD pipelines, container systems, background job queues, and deployment environments — making sure your product can ship reliably and scale gracefully.

71%gross margin on infrastructure — AgentOS
Work

Project Examples

AgentOS - AI Agent Fleet Infrastructure

AI Agents

A 4-layer platform for deploying and operating OpenClaw, Hermes, and custom AI agents at scale - agent-agnostic, hosting-agnostic, and designed for fleet management.

Agent fleet infrastructure - deploy to production in minutes

Next.jsReactTypeScriptPostgreSQLPrisma
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AI-Native Algorithm Pipeline

AI Agents

Made a critical algorithm self-maintaining with AI, then stayed to build the full production pipeline. Now embedded inside the engineering team.

From scoped AI project to embedded engineering team

PythonTypeScriptClaude Code
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Hosting-Agnostic Cloud CLI

DevOps

A YAML-driven CLI for declarative cloud infrastructure management - diff engine, three-stage upgrade pipeline, database dump/restore, and watch mode for LLM agents.

Declarative infrastructure management via YAML

TypeScriptNode.jsGraphQLPostgreSQLZod
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Capabilities

What We Do

Cloud Provisioning

Environment setup on Railway, Hetzner, or AWS — configured correctly from the start.

Docker & Containerization

Docker Compose-based local dev environments and production container deployments.

Background Job Queues

BullMQ + Redis for async workloads — reliable, retryable, and observable.

Database Management

PostgreSQL setup, Prisma migrations, backup pipelines, and seeding scripts.

Secrets Management

No plaintext secrets — secure vaults, runtime injection into containers, and automated rotation.

Observability

OpenTelemetry-based metrics, traces, and cost monitoring across your entire stack.

Process

How We Work

1

Audit

Map existing infrastructure, identify gaps, bottlenecks, and security risks.

2

Design

Choose the right services, plan the cost envelope, and design the deployment topology.

3

Implement

Set up environments, containers, CI/CD pipelines, secrets management, and monitoring.

4

Handoff

Documentation, runbooks, and team training so your team can own and operate it.

Stack

Technologies We Use

RailwayHetzner Cloud APIAWSDockerDocker ComposeKubernetesBullMQRedisPostgreSQLPrisma MigrationsOpenTelemetryGitHub ActionsTurborepo
Clients

Who This Is For

Startups outgrowing their setup

You’re on a single server with manual deploys and it’s starting to hurt. Time to do it properly.

Teams wanting infrastructure-as-code

You want environments that are reproducible, versioned, and not dependent on one person’s knowledge.

Products needing async workloads

Background jobs, observability, and secrets management — you need the pieces that make a product production-grade.

Results

Outcomes You Can Expect

Clean, reproducible environments from dev to production

Automated provisioning with no manual steps

Cost-optimized cloud spend with visibility into where money goes

Observability built in from the start — not retrofitted

Need your infrastructure done right?

Tell us about your stack, your pain points, and what you're trying to achieve. We'll map out the path.