Example architecture diagram
How a change travels from the repository to production, and where it is watched.
- app-repoRepository
- ciCI pipeline
- registryContainer registry
- clusterCluster
- app-dbDatabase
- monitoringMonitoring
We execute. You own it.
execbash is a DevOps services company. We design, build and secure the systems that ship your software, on AWS, Azure or Google Cloud. Everything we build lives in your Git repository. When we're done, your team runs it.
$ exec ship --reviewed --reversible
- plan
- review
- apply
- verify
- handover
shipped, reversible
Six services. One rule: it ships as code.
Pick one or combine them. The work happens in your accounts either way.
DevOps
Deploys anyone on your team can run, and undo.
Typical deliverables, DevOps:
- A CI/CD pipeline in your repository, with documented stages
- Environments defined as code, reproducible on demand
- A tested rollback path and the runbook for it
Cloud
Accounts, networks and costs that someone actually designed.
Typical deliverables, Cloud:
- An architecture document and diagrams for your cloud setup
- A landing zone defined as code
- A migration plan with order, risks and rollback for each workload
DevSecOps
Security checks on every commit, not once a year.
Typical deliverables, DevSecOps:
- Security scanning wired into your CI, with agreed thresholds
- A secrets management setup and a migration of existing secrets
- Policies as code, enforced in the pipeline and the cluster
Kubernetes
Clusters you can upgrade without a war room.
Typical deliverables, Kubernetes:
- A cluster defined as code, with documented architecture
- GitOps delivery for your workloads
- An upgrade runbook, used for at least one real upgrade
Agentic AI
AI agents with limits you can read in code.
Typical deliverables, Agentic AI:
- A working agent or workflow, deployed in your environment
- An evaluation set and the scripts to run it
- Documented guardrails and permission boundaries
Technical Consulting
A second opinion before you commit to the expensive option.
Typical deliverables, Technical Consulting:
- A written report with findings, risks and options
- A prioritized roadmap with effort estimates
- A presentation of the results to your team or board
Start from the problem
Pick the sentence that sounds like your week.
Our deployments are manual and risky.
We automate the path from commit to production, with tests, approvals where you need them, and a rollback you have actually tried.
Services that fit
Our cloud bill keeps growing and we can't explain it.
We map spend to workloads and teams, remove waste, and put budgets and alerts in place so the next increase is a decision, not a surprise.
Services that fit
Customers are asking security questions we can't answer well.
We add scanning, secrets management and access controls to how you build and run software, and document them so you can answer with evidence.
Our Kubernetes setup is fragile and upgrades keep slipping.
We review the cluster, define it as code, set up GitOps delivery, and run the overdue upgrade with you so the next one is routine.
Services that fit
We have an AI prototype and need it to work in production.
We add evaluation, guardrails, cost limits and monitoring, then deploy it inside your environment with clear limits on what it can do.
Services that fit
We have a big technical decision coming up.
We review the options against your constraints and give you a written recommendation, with the risks of each path spelled out.
Services that fit
What the first month looks like
- Before day 1
A short intro call. Then a written proposal with a fixed price for the agreed scope.
- Day 1
Access agreed. We start a read-only review of what you run.
- Week 1
Written findings and a prioritized plan. You decide what we do first.
- Week 4
The first changes merged into your repo, documented, and handed over.
Fixed price per scope, agreed before work starts. If the scope changes, you get a new quote, not a surprise invoice.
See the work before you hire us
These are the documents you'd receive. The examples are templates, not client work.
Runbook outline
The sections every runbook we hand over contains.
- OverviewWhat the system does and who owns it.
- AccessWho can reach what, and how access is granted.
- DeployHow a change goes out, step by step.
- RollbackHow to undo a release, and when to.
- AlertsWhat each alert means and the first thing to check.
- On-callWho responds, when, and how to hand over.
- ContactsPeople and channels to reach during an incident.
Assessment checklist
Generic checks from the first week's review.
- Everything that runs is defined in Git
- Secrets are scanned for in CI
- Access follows least privilege
- Backups are restored and tested, not just taken
- There is a rehearsed rollback path
- Environments can be rebuilt from code
- Every alert routes to an owner
- Dependency updates are tracked
- Access is reviewed and removed when people leave
- Docs and runbooks match what is running
How an engagement works
The same six steps every time. You know what happens next, and what you hold at the end of each one.
Discover
A short intro call about what you run and what you want changed. Then a written proposal with a fixed price.
Assess
Day 1: access agreed, read-only. We review the code, infrastructure and processes in scope.
Design
We agree the target design, the order of work, and how we'll know each part is done. You decide what comes first.
Build
We implement the plan in your repositories and accounts, in small changes your team reviews.
Hand over
We document what we built and walk your team through it. Done means your team can run it without us.
- Optional
Operate
Optional. We stay on for changes, upgrades and incident support, alongside your team, on agreed terms.
What we believe, and what we won't do
No client logos and no headline numbers. These are the rules we work by. Hold us to them.
If it's not in Git, it doesn't exist.
Infrastructure, pipelines and policies are code, changed through review. A fix made by hand in a console isn't finished.
Security goes in the pipeline.
Scanning, secrets handling and access rules run on every change. Problems show up before release, not after.
No lock-in.
We pick widely used, well-documented tools. Your team, or anyone you hire next, can maintain what we built.
No work without a handover.
Every engagement ends with runbooks your team has used, and a session to walk through them.
You own the accounts and the code.
Work happens in your cloud accounts and repositories from day one. Nothing we build needs our access to keep running.
Questions
How does an engagement start?
With a short intro call about what you run and what you want changed. Afterwards we send a written proposal: scope, deliverables and a fixed price. Nothing starts until you accept it.
Is this a fit for us?
Yes if you run software in the cloud and want it automated, secured and documented, with your engineers involved. Not a fit if you want a team to run your systems indefinitely with no one on your side. Ongoing support is available, but always alongside your team.
How do you price work?
A fixed price per agreed scope, so you know the cost before we start. Extra work gets its own quote. Not a fit if you want an open-ended hourly arrangement. Pricing is agreed in a written proposal.
Which cloud providers do you work with?
AWS, Azure and Google Cloud. We work in the one you already use rather than moving you to ours. Not a fit if you need on-premises hardware work.
Who owns the code and the accounts?
You do, from day one. Everything lives in your repositories and cloud accounts, under your access control. If we stopped tomorrow, nothing would stop running.
Tell us what you're running.
A few lines about your stack is enough. We'll reply to set up a short intro call, then send a written proposal with a fixed price.
