Proactive cloud ops
We look after your cloud estate as part of your team. When something goes wrong, whether it's an outage or a security alert, we are on it before you know.
Cloud partners



Experts at the helm, not just in the loop
AI has made building software much faster, but running it safely still needs people. We use AI to gather context, but leave the judgement calls safely with our engineers.
Architect
We design the architecture for products built quickly, often with AI, weighing security, scalability, resilience and cost. We build it as code, so every environment matches, and keep it current as you grow.
Manage
AI watches your estate around the clock and gives our engineers the context: configuration drift, expiring certificates, rising error rates and creeping costs. Our engineers decide what to fix, and fix it before you notice.
Respond
Incidents and security alerts go straight to an engineer who knows your setup, 24/7, while AI pulls together what changed. We track new threats and patch early, so we can respond faster than anyone else.
How we're different
We join your team
We work in your channels, your repositories and your planning meetings. We follow your ways of working rather than asking you to adopt ours.
Senior engineers, directly
No switchboard, no scripts, no middlemen. Engineers who know your environment handle every incident, technical or security, and act straight away.
AI assists, engineers decide
We use AI for jobs it does well, such as sorting alerts and spotting unusual spend. Decisions about your systems, and the fixes, stay with engineers.
AWS, Azure and Google Cloud
Our expertise across the hyperscalers lets us recommend what your product needs, when it needs it.
AWS
Amazon's cloud platform, the most widely adopted in the industry.
Reviews against the AWS Well-Architected Framework.
Azure
Microsoft's cloud platform, deeply tied into its enterprise and Microsoft 365 ecosystem.
Reviews against the Azure Well-Architected Framework.
Google Cloud
Google's cloud platform, built on the infrastructure behind Search and its other products.
Reviews against the Google Cloud Architecture Framework.
Managed Cloud, but better
Proactive and quick to react
FAQ
Last reviewed 27 October 2026
What is a managed cloud service?
A managed cloud service is when an outside team designs, runs and looks after your cloud hosting for you. That covers monitoring, security updates, backups, cost control and fixing problems. You keep ownership of the accounts and the product. Messy Works provides managed cloud services on AWS, Microsoft Azure and Google Cloud. The work is split three ways. Architect means designing the setup around security, scalability and cost. Manage means running it day to day and catching problems early. Respond means fixing incidents and security alerts 24/7. Messy Works works as part of your team, through your Slack and your repositories, rather than through a ticket queue.
What does a managed cloud provider actually do day to day?
A good managed cloud provider spends most of its time preventing problems, not just reacting to them. Day to day, Messy Works:
- monitors your systems
- applies patches and security updates
- checks that backups restore
- reviews costs and plans capacity
- watches for warning signs before they become incidents, such as configuration drift (settings changing from what was agreed), certificates about to expire, rising error rates and creeping spend
AI tools sort alerts and gather context. Engineers decide what to change and make the change. The same engineers look after your estate every month, so they know how it fits together.
Do you manage AWS, Azure and Google Cloud, or just one?
Messy Works manages all three: Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Many companies end up with more than one cloud through acquisitions, customer requirements or a single service that only one provider offers. One team covering all three means one set of standards, one monitoring setup and one place to call when something breaks. You don't have to use more than one cloud. Messy Works works with whatever you run today and can help plan a move if you're considering one.
What is infrastructure as code, and do we need it?
Infrastructure as code means your servers, networks and settings are defined in files, using tools such as Terraform, rather than set up by hand in a web console. You need it once more than one person changes your cloud setup, or once you have more than one environment. Every environment is then built the same way, every change is reviewed and recorded, and the whole setup can be rebuilt after a failure. When Messy Works takes over an estate, it brings the estate under infrastructure as code. Your team keeps the files, so nothing is locked inside Messy Works.
When should we move our app off Lovable, Vercel or Supabase onto AWS, Azure or Google Cloud?
Move when the platform starts to limit you, not before. Common signs:
- an enterprise customer needs data held in a specific region, or controls the platform can't provide
- costs are growing faster than usage
- you need private networking or detailed audit logs
- an outage on the platform is something you can no longer accept
Many products run well on these platforms for a long time. Messy Works reviews your setup and tells you plainly whether a move is worth it. If it is, Messy Works plans the move in stages, tests each one and keeps a way back until you're happy.
How can we reduce our cloud bill without risking reliability?
Most cloud savings come from removing waste, not from cutting resilience. The usual sources are:
- servers and databases sized for a peak that never comes
- environments left running overnight
- old snapshots and storage nobody uses
- paying on-demand prices for steady workloads that qualify for committed-use discounts
AI services add a newer cost: token spend (the charge per piece of text an AI model processes) that rises with usage and isn't noticed until the invoice arrives. Messy Works reviews costs every month, sets budgets and alerts, and checks that each saving doesn't remove a backup or failover your product depends on.
Should we hire a DevOps engineer or use a managed service provider?
Hire if you need someone full time on your platform and can give them back-up. Use a managed provider if you need several skills and round-the-clock cover that one hire can't give. One engineer can't cover 168 hours a week, holidays or sick days. They also rarely cover security, cost management and three clouds equally well. Messy Works works alongside in-house engineers as well as replacing the need for them: your developers keep building, and Messy Works takes the operations, hardening and out-of-hours cover. Talk to the Messy Works engineers directly on Slack, the same way you'd talk to a colleague.
See also the homepage FAQ: We already have a development team. Why would we bring you in?
How does Messy Works work with our existing developers or agency?
Messy Works joins your existing team rather than replacing it. Engineers work in your Slack, your repositories and your planning meetings, and follow your ways of working. Your developers or agency keep the product roadmap. Messy Works looks after the cloud estate, the pipelines (automated steps that test and release code) and the production checks. Anything that changes product behaviour goes back to the people who own it, with a written handover.
Who owns our cloud accounts and code if Messy Works manages them?
You do. Messy Works works inside cloud accounts that belong to you, you pay the cloud provider directly, and your code and infrastructure files stay in your repositories. If you leave, nothing has to be handed back or untangled, because it was always yours. You also keep full admin access the whole time, and Messy Works's access can be reviewed or removed whenever you choose.
See also the homepage FAQs: Who is responsible when it breaks: us, the cloud provider, or you? and What happens if we want to leave?
Does Messy Works take on one-off cloud projects?
Messy Works focuses on looking after cloud estates over the long term rather than one-off consulting projects. Design, build and migration work happens as part of bringing your estate under management. That means the people who design the setup are the same people who run it afterwards, so it's built to be run. If you only need a one-off review, a Validate review is the closest fit.
How does Messy Works use AI in cloud management?
Messy Works uses AI where it does the job well, and keeps engineers responsible for decisions. AI helps sort and group alerts, spot unusual spend, summarise what changed before an incident, and draft documentation. It doesn't make changes to your systems on its own. An engineer reviews the context, decides what to do and makes the change. That gives you faster diagnosis without handing your production systems to an automated tool.