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DevOps

Ship faster, break less, sleep better

The automation and safeguards that get your software live quickly, reliably, and safely, and keep it healthy once it's there. Set up in your accounts, documented, and run by your people.

What we build 3 areas
  1. 01 CI/CD Fast, low-risk releases
  2. 02 Infra as code Consistent, repeatable setup
  3. 03 Monitoring Know before customers do
The problem

When shipping is scary, everything slows down

Engineers stuck firefighting aren't building, and fragile deployments are the reason AI never quite makes it to production.

  • Slow, manual deploys

    Shipping takes hours of careful manual steps, so releases are rare, dreaded, and easy to get wrong.

  • Things break in production

    Something works locally, then falls over live, because environments drift and nothing catches it first.

  • No visibility

    When something goes wrong, you find out from an angry customer, not a dashboard or an alert.

  • Always firefighting

    Your engineers spend more time keeping the lights on than building, and burnout creeps in.

What we cover

The pieces that make shipping safe

Automated releases

Shipping that's fast and boring

Automated pipelines that build, test, and release code on every merge, so shipping stops being a scary event and becomes a routine one. Rollbacks are one click, and a bad deploy never reaches every user at once.

Every merge, the same path
The pipeline lives in your repository, so the steps are readable by your own team.
The pain Releases go out by hand, late at night, by whoever still remembers the steps.
We build Pipelines that build, test and release on every merge, with staged rollout and a one-click rollback.
The outcome Anyone on the team can ship, and a bad release can be undone without a rescue.
  • Automated tests
  • One-click deploy
  • Safe rollbacks
  • Staged releases
Infra as code

Servers defined in code

Infrastructure written as code so every environment is consistent, repeatable, and version-controlled. Spin up a matching staging environment in minutes and rebuild production exactly if you ever have to.

What lives in the repository
Infrastructure changes go through review like any other change to your code.
The pain Environments that drifted apart, and a production box only one person knows how to rebuild.
We build Infrastructure written as code and version-controlled, so every environment comes from the same definition.
The outcome A staging environment that matches production, and a production you can rebuild from the repository.
  • Reproducible
  • Version-controlled
  • No drift
  • Fast recovery
Visibility

Know before your customers do

Dashboards and alerts that surface problems the moment they start, wired to the metrics that matter, latency, errors, saturation, and spend, so you hear it from a system, not an angry customer.

What is watched
Every alert points at a runbook, so nobody is woken up without an instruction.
The pain You find out something is broken when a customer takes the trouble to tell you.
We build Dashboards and alerts on the signals that matter, each one wired to a runbook and an owner.
The outcome The system tells you first, and whoever is on call already knows what to do about it.
  • Live dashboards
  • Smart alerts
  • On-call runbooks
  • Fewer surprises
Stay up

Systems that hold under load

Setups that stay up under pressure and scale with demand, auto-scaling, health checks, and load-tested limits, so a record traffic day for the business isn't a bad day for the servers.

What holds it up
We load-test to find the ceiling and tell you where it is, rather than assuming.
The pain The best day the business has is the worst day the servers have.
We build Health checks, auto-scaling and load-tested limits, with deploys that go out without taking the service down.
The outcome Busy periods absorbed by the setup rather than by someone watching a dashboard.
  • High uptime
  • Auto-scaling
  • Load-tested
  • Zero-downtime deploys
Working with us

What working with us looks like

We work with your setup

We build on the cloud, CI/CD, and monitoring tools you already use, so there's no forced migration, just your existing stack made to work properly.

01 / 05

Fewer, calmer releases

Automated tests and pipelines turn deployments from all-hands, hold-your-breath events into a routine step your people can run any day of the week.

02 / 05

Problems surface early

Monitoring and alerting catch issues while they're small, so you're fixing a warning on a dashboard instead of a queue of support tickets.

03 / 05

Set up in your accounts

Everything lives under your logins and is documented with runbooks, so your people can run, recover, and extend it without depending on us.

04 / 05

Ready for AI in production

Reliable pipelines, evals, and monitoring are exactly what AI systems need to run safely, so an AI feature can actually ship, not just demo.

05 / 05
What we build

What's included

  1. 01

    CI/CD pipelines

    Automated pipelines that build, test, and release code safely on every change, so shipping is fast and low-risk.

    • Build & test on merge
    • One-click deploy
    • Automatic rollbacks
  2. 02

    Infrastructure as code

    Servers and environments defined in code, so they're consistent, repeatable, and easy to recover or clone.

    • Terraform / IaC
    • Repeatable environments
    • No config drift
  3. 03

    Monitoring & alerting

    Dashboards and alerts that tell you about problems before your customers ever notice them.

    • Metrics & logs
    • Smart alerts
    • On-call runbooks
  4. 04

    Reliability & scaling

    Systems set up to stay up under load and scale smoothly as demand grows, tested against real spikes.

    • Auto-scaling
    • Health checks
    • Load-tested
  5. 05

    Security & secrets

    Access controls, secrets management, and safe defaults baked into the pipeline from the start.

    • Managed secrets
    • Least-privilege access
    • Scans in CI
  6. 06

    Handover & documentation

    Runbooks, docs, and training so your people can run and extend everything once we hand it over.

    • Runbooks
    • Training
    • You own it all
The approach

Assess, automate, hand it over

We assess the current setup, put the automation and safeguards in place, and hand it over documented, so your people can run it without us.

Book a discovery session
  1. 01 / 05

    Assess the current setup

    We review how you build, ship, and monitor today, and pinpoint what's slow, manual, or risky.

  2. 02 / 05

    Plan the pipeline

    A clear plan for CI/CD, infrastructure, and monitoring that fits your stack, agreed before we build.

  3. 03 / 05

    Put automation in place

    We build the pipelines, infrastructure-as-code, and safeguards, working alongside your existing tools.

  4. 04 / 05

    Add monitoring & alerts

    Dashboards and alerting so problems surface early, with clear runbooks for when they do.

  5. 05 / 05

    Hand over, documented

    We document everything and train your people, so you own it and can run it without us.

Where are you starting from

Two ways in. One team behind both.

Most companies are in one of two places. Pick yours — we'll meet you there.

  • Firefighting

    “Every release is scary and something always breaks in production.”

    Manual deploys, no monitoring, and people stuck putting out fires instead of building. We assess the setup and put automation and safeguards in place so shipping stops being an event.

    Book a discovery session Stop the firefighting
  • Ready to Level Up

    “We know what we need. We just need it set up properly.”

    You know CI/CD and monitoring would help, you just need it built right and handed over. We set it up in your accounts, documented, so your people can run it.

    Book a discovery session Set up, documented, owned
Why Growth Nerve?

Ops people who've kept real systems running

Senior practitioners, not a rotating bench of junior hires. We've owned production pipelines and on-call, and we set everything up so your team can run it without us.

Reliability is the product

The whole point here is uptime. We build safeguards and monitoring so what you ship keeps running.

Set up in your accounts

Pipelines and infrastructure live under your logins, documented, so your people can run it. No lock-in, ever.

Honest about what you need

If part of this is overkill for your size, we'll tell you. We set up what earns its keep, nothing more.

Senior team, fixed price

Senior practitioners who've run production systems, on a fixed price for fixed scope, never hourly.

The AI angle

Reliable ops is what lets AI actually run in production

We say it everywhere: production, not demos. The thing that gets an AI system from a slick demo to something you can depend on is exactly this, solid pipelines, monitoring, and infrastructure that hold up.

Models drift, traffic spikes, and prompts change, so we treat AI like any other production workload: versioned deploys, automated evals in the pipeline, GPU-aware autoscaling, cost guardrails, and alerting on quality, latency, and spend, not just uptime.

  • Production, not a demo
  • You own the code, the prompts and the accounts
  • Fixed price on the scope we agree
Book a discovery session
  • Repeatable deploys Ship AI updates without fear
  • Live monitoring Catch drift and failures early
  • Automated evals Quality checked before release
  • AI that stays up Demos become dependable systems
How we would find out
  1. We walk the work with you Thirty minutes on how the job actually moves today, step by step, in your vocabulary rather than ours.
  2. We mark where AI pays and where it does not Two or three places it would earn its keep, the places it would not, and a rough number against each.
  3. You keep the map either way Written up and sent over, yours to build with us, build elsewhere, or shelve. No follow-up sequence.

And if AI is the wrong tool for a step, we will say so on the call. Plenty of the work below is better done with plain software.

FAQ

Frequently asked questions

The things companies ask us before the first working session. Still curious? Just ask.

We're a small company, isn't this overkill?

Usually the opposite. Small companies gain the most, because automation and monitoring save the exact hours a small team can't spare. We right-size it to your scale, so you get the safety without the enterprise overhead.

Will you work with our existing setup?

Yes. We build on the cloud, tools, and workflows you already use wherever we can, rather than forcing a rip-and-replace. We'll only suggest a change when the current setup is actively costing you.

Do we need to switch tools?

Rarely. We work with mainstream CI/CD, cloud, and monitoring tools, so in most cases we improve what you have. If something genuinely won't hold up, we'll explain why before changing it.

Can our engineers run it after you leave?

Yes, that's the goal. Everything is set up in your accounts and documented with runbooks, and we train your people, so you're never dependent on us to ship or recover.

How does this help us run AI?

Reliable pipelines, monitoring, and infrastructure are exactly what AI systems need to run safely in production. Good DevOps is what turns an AI demo into something dependable.

Free discovery session
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