Cloud and platform engineering that keeps software running

Good software still fails on bad infrastructure. We set up hosting, deployment, monitoring and backups so releases are routine and incidents are rare and short.

Common platform problems

  • Deployments are manual, so they are risky and infrequent.
  • Nobody is alerted when something breaks; customers report it first.
  • Secrets live in code or shared documents.

What's included

Hosting, deployment pipelines, monitoring and security that keep software reliable.
  • Infrastructure setup

    Hosting, networking, domains and environments sized to your usage and budget.

  • CI/CD pipelines

    Automated build, test and deploy on every change.

  • Observability

    Logging, metrics, uptime checks and alerts that reach the right person.

  • Security hardening

    Secret management, least-privilege access, security headers and dependency updates.

  • Backups and recovery

    Automated backups with tested restore procedures.

Our approach

  1. Automate the repeatable

    If it happens more than twice, it becomes a pipeline.

  2. Measure before optimising

    Cost and performance changes are based on real metrics.

  3. Document the runbook

    Your team knows what to do when an alert fires.

Typical use cases

The kinds of problems this service addresses.
  • First production launch

    Moving an application from a developer's laptop to reliable hosting.

  • Deployment automation

    Replacing manual releases with a tested pipeline.

  • Security review

    Finding and fixing exposed secrets, open ports and missing headers.

Technology

  • Google Cloud / Firebase
  • Render
  • Docker
  • GitHub Actions
  • PostgreSQL
  • CDN & edge caching

What you receive

  • Environment and hosting setup
  • CI/CD pipeline
  • Monitoring and alerting
  • Backup and restore runbook

Process

Every engagement follows the same lifecycle, with an output you can review at each stage.
  1. Discover

    Find the problem worth solving.

    Output: Problem brief

  2. Model

    Describe the work as data and rules.

    Output: Scoped model

  3. Architect

    Decide how the system fits together.

    Output: Architecture + prototype

  4. Engineer

    Build in short, reviewable increments.

    Output: Working increments

  5. Integrate

    Connect to the systems already in use.

    Output: Connected system

  6. Test

    Prove it works before people rely on it.

    Output: Release candidate

  7. Deploy

    Release to secure, monitored infrastructure.

    Output: Production release

  8. Operate

    Run it, measure it, improve it.

    Output: Next-release backlog

What we learn in Improve becomes the next Discover. Products are never "done".

Frequently asked questions

Which cloud providers do you use?

We choose based on your needs. Our own products run on providers including Google Cloud / Firebase and Render.

Can you reduce our hosting costs?

Often. We start by measuring actual usage, then right-size resources and add caching where it helps.

Do you offer ongoing operations support?

Yes, as a defined support arrangement agreed per engagement.

Custom software development

Web applications, APIs and integrations built to your exact requirements.

  • Web applications
  • APIs and back ends
  • Integrations
  • Modernisation

SaaS development

Multi-tenant platforms with sign-up, billing, roles and the admin tooling to run them.

  • Multi-tenant architecture
  • Onboarding and accounts
  • Billing and plans
  • Operations console

Enterprise software

Secure, role-based systems that run core operations and connect to what you already use.

  • Operational systems
  • Access control and audit
  • Integrations
  • Reporting

Have a technology problem worth solving?

Tell us what you're trying to build or fix. We'll reply within two working days with next steps — or an honest answer if we're not the right team.

KX Navigator

Search the KRISLYNX system

Assistant

KX Assistant

KrisLynx knowledge system

Ready · approved answers only

Suggested questions

Answers come only from KrisLynx's approved company information. This assistant does not use generative AI and cannot see your data.