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Product & Cloud Engineering

SaaS, APIs, cloud infrastructure and modernization

For a validated product idea that needs engineering capacity it does not have, or releases that are slow and tense. We build products from validated concept to production, and improve how they are deployed, monitored and operated.

Discuss your project How we work

What we build

Build the product, run it, modernize what exists

An MVP should answer a business question

Not a compressed version of every planned feature. We define the smallest release that tests the riskiest assumption, with enough quality that real users can complete the core job.

  • Discovery narrows the first release before development begins
  • Included from the start: authentication, permissions, data handling and observability
  • Deferred items written down, not quietly dropped

SaaS applicationsMulti-tenant platformsAPI developmentThird-party integrations

HRive recruitment overview with active jobs, applicant totals and open positions
HRive, our in-house HR platform. Not a client case study. Sample data.
  • SaaS applications
  • Multi-tenant platforms
  • API development
  • Third-party integrations
  • Cloud architecture
  • Infrastructure as code
  • Pipeline
  • Managed secret store
  • Architecture assessment
  • Dependency mapping
  • API extraction
  • Data migration
  • Monitoring

Product development

From first release to the next stage

We take responsibility for a defined product area or work alongside your team with shared planning, code review and release practices.

  1. Discovery

    Narrows the first release to what answers the commercial question.

  2. Production engineering

    Typed, tested code with authentication, permissions and observability.

  3. Automated delivery

    Build, test and deploy paths with controlled promotion.

  4. Monitoring and handover

    Logs, alerts and runbooks aimed at failures that affect users.

Hands on a laptop keyboard with code on screen
Rows of server racks with amber status lights in a data centre
Three colleagues reviewing a product on a tablet in a bright office
Operations dashboards on glass screens in a dark, teal-lit room

Reliable Delivery Foundation blueprint

Solution blueprint. Not a client case study.

Reliable Delivery Foundation

A structured CI/CD, infrastructure and monitoring foundation for a growing software product.

Decisions that matter

  • Which failures matter enough to wake someone up
  • How much environment parity is worth the cost
  • Who operates the platform once the engagement ends
View the blueprint
Two engineers reviewing code together at a desktop monitor
  1. Pipelineautomated build, test and deploy
  2. Infrastructure as codereviewable environment changes
  3. Stagingclose enough to production to be useful
  4. Monitoringalerting and documented rollback
A long corridor of server racks lit in teal

Outcomes

Engineering you can hand over

Architecture that fits the next stage

Architecture that will still make sense at the next stage of growth.

Releases that are routine

Releases that are routine rather than scheduled around risk.

Signals before customers notice

Signals that show a problem before a customer reports it.

Documented so your team can run it

Architecture notes, runbooks, environment details and known limitations are written down.

Industries

Industries we support

Example workflows. Not client claims.

Intake documents, referral routing, scheduling and records that live in too many places.

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Questions

Before you get in touch

Anything else, ask us directly. Enquiries are usually answered within one working day.

Can you build an MVP from an early-stage idea?

Yes, when the problem, target user and learning goal can be defined. Discovery should narrow the first release before development begins.

Do you work with an existing product team?

Yes. We can take responsibility for a defined product area or work alongside an internal team with shared planning, code review and release practices.

Can you modernize an existing SaaS product?

Yes. The approach may include architecture assessment, dependency mapping, API extraction, frontend modernization, data migration and delivery improvements. The sequence depends on operational risk.

Which technology stack do you use?

The stack is selected for the product, existing environment and team, not for a generic agency preference. Long-term maintainability, hiring, security, integration and operating cost all matter.

What problems can DevOps engineering solve?

Manual deployments, environment differences, slow releases, weak monitoring, unclear rollback procedures and infrastructure that is difficult to reproduce. For an existing pipeline, we review the current path, failure patterns, testing, deployment controls and ownership before recommending changes.

Do you provide ongoing support?

Ongoing support can be agreed explicitly. Monitoring responsibilities, response expectations, access and escalation must be documented rather than assumed.

Tell us what the product needs next

If software is not the right answer, we will say so before any engagement begins.

Discuss your project Usually answered within one working day.