Source: https://daphnislabs.com/services/devops-services

# DevOps consulting and cloud deployment

Build repeatable delivery, useful health signals and practical recovery around the application you operate.

[Review My Delivery Platform](https://daphnislabs.com/contact?service=devops-services) [Try the example](https://daphnislabs.com/services/devops-services#worked-example)

**Build 24.09** `artifact: a8f2c1`

**Staging** Integration checks

**Production** Release approval

Same artifact Separate configuration & secrets

## Tools & technologies

-   Docker
-   Kubernetes
-   Terraform
-   GitHub Actions
-   Ansible
-   AWS
-   Observability tooling

## Start with the way releases happen today.

### Build & promote

Find manual steps, environment drift and changes that are hard to reproduce.

### Observe & respond

Connect useful service signals to a named responder and a practical runbook.

### Recover

Check backups, restoration and data compatibility rather than assuming a previous binary is enough.

## Tooling does not define the support agreement.

Name the people, access and response coverage.

### Your organisation

Account ownership, business priorities and release authority.

### Agreed delivery scope

Pipeline, environments, diagnostics and recovery procedures.

### Explicit support scope

Coverage hours, escalation paths and ongoing maintenance.

## Configuration your team can inspect.

-   ### Delivery pipeline configuration
    
-   ### Infrastructure definitions
    
-   ### Environment & secret boundaries
    
-   ### Health checks and alert routing
    
-   ### Rollback and restore runbooks
    
-   ### Operating handover
    

[Need application changes alongside the pipeline?](https://daphnislabs.com/services/full-stack-development)

## Related deployment work

These projects include self-hosted AI deployment. Their published scopes do not establish an ongoing infrastructure, incident-response or on-call engagement.

[View all case studies](https://daphnislabs.com/case-studies)

![PourBud — bottle and category discovery](https://daphnislabs.com/images/projects/pourbud/home-mobile-fit.png)

### [PourBud](https://daphnislabs.com/case-studies/pourbud)

A complete consumer platform connecting city-wise drink data with AI, regional stories and community.

View project

![PA — official Shopify app listing image](https://daphnislabs.com/images/projects/pa-product-collection-sort/listing-1.webp)

### [PA: Product & Collection Sort](https://daphnislabs.com/case-studies/pa-product-collection-sort)

Sales signals, stock levels and merchant rules help decide which products shoppers encounter first.

View project

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## A few practical questions.

### Do we need to move cloud providers?

Not by default. We start with your current infrastructure, delivery bottlenecks and operating constraints. A migration is a separate decision with its own risks and scope.

### Is round-the-clock support included?

Only with an explicit support agreement covering hours, response expectations, access and escalation. Pipeline work alone does not imply on-call coverage.

### Can every deployment be rolled back?

No. Data migrations and external side effects can make a simple version rollback unsafe. We identify those cases and agree compatible migrations, restoration or forward-recovery procedures.

### Will our team own the cloud accounts?

Your organisation should retain account ownership. We agree least-privilege access, billing responsibilities and the handover of configuration and runbooks.

## Bring your last difficult release.

Share the delivery path, environment access and what your team could not see or recover.

[Review My Delivery Platform](https://daphnislabs.com/contact?service=devops-services)