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Custom AI and software · Cloud and DevOps

DevOps consulting and AWS data pipeline engineering

Vexio provides DevOps consulting and AWS data pipeline engineering. We set up hosting, CI/CD, infrastructure as code and monitoring on AWS, Azure and Cloudflare Workers, for applications, data pipelines, AI agents and MCP servers. The work can be a new setup, a migration or a review of what you run now, and the same engineers who write your software do it.

By Updated

Discuss cloud work Custom software

Final frame. If a health check fails (an example), the previous version is restored.

Illustration of an example delivery pipeline, not a client environment.

Platforms

AWS data pipeline, Cloudflare Workers or Azure: chosen by fit.

You get a recommendation with reasons and trade-offs, not a default. This website runs on Cloudflare Pages with a D1 database and R2 storage.

  • Cloudflare

    Workers, Pages, D1 and R2

    Light APIs, sites and edge logic, with a database and object storage in the same account. A good fit for small services and for MCP servers that must be reachable over HTTP.

  • AWS

    Data pipelines and larger workloads

    Where we build AWS data pipelines: raw files land in S3 and cleaned tables load into your warehouse. Also right for regulated workloads and for teams that already run on AWS.

  • Azure

    Microsoft-centred environments

    For organisations that already use Microsoft identity and tooling, where Azure keeps access control and purchasing in one place.

What we do

The DevOps work that keeps software running.

  • Hosting and architecture

    Choosing and setting up the environment: networking, compute, data stores, and separate development, staging and production.

  • CI/CD pipelines

    Automated build, test and release, so a change reaches production the same way every time.

  • Infrastructure as code

    Environments defined in version-controlled code, so they can be reviewed, repeated and rebuilt.

  • Monitoring and alerting

    Logs, metrics and alerts that reach the right person before a customer notices the problem.

  • Migrations

    Moving an application between hosts or clouds, with a written plan for data, cutover and rollback.

  • Reviews

    We check deployment, access, backups, monitoring and cost in what you run now, then give you a prioritised list of changes.

How it works

How a DevOps engagement works: defined as code, proven before it matters.

  1. 01

    Understand what runs

    The application, what it depends on, who deploys it and what happens when it fails.

  2. 02

    Agree the target

    The environment, pipeline and monitoring we will put in place, with the reason for each choice.

  3. 03

    Build it as code

    Infrastructure and pipelines go into version control and are applied from there.

  4. 04

    Prove it

    Deploy, break and recover in a non-production environment before production depends on it.

  5. 05

    Hand over

    Runbooks, access and a working session for the people who will operate it.

Platform documentation we work from: Cloudflare Workers.

FAQ

Questions on cloud and DevOps.

We design and set up hosting on Cloudflare, AWS or Azure, build and deploy pipelines, infrastructure defined as code, and monitoring and alerting, then write the runbooks to operate it. It can be a new setup, a migration or a review of what you run now.

Yes. We build data pipelines on AWS: raw files land in Amazon S3 and cleaned tables load into your warehouse. The design is described on the advertising data pipelines page, and marketing ETL explained covers the concepts. The same pipelines can run on Google Cloud or Azure when your data lives there.

It depends on what you already run and what you need. Cloudflare Workers suit light APIs and sites close to users. AWS and Azure suit larger or regulated workloads and teams that already have an account and skills there. We give a recommendation with reasons and trade-offs, not a default.

By default we set up systems in your accounts and hand them over. Ongoing operation is agreed per engagement, so say on the first call if you want us to keep running it. Common arrangements are a handover with a runbook, or a support agreement after launch.

Yes. A review looks at deployment, access, backups, monitoring and cost in what you run now, and ends with a prioritised list of changes. You can act on the list yourselves or ask us to do the work. It is a sensible first step before a migration or a new data pipeline.

Yes. Cloudflare Workers development is part of the same service, and so is hosting for AI agents and MCP servers. Workers suit light APIs, sites and remote MCP servers that must be reachable over HTTP. See custom AI agents and MCP servers.

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Talk to us

Tell us what you run, or what you want to run.

Share the application, where it lives now and what worries you about it. We reply by email to set up a scoping call.

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hello@vexio.ai
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