Service

Cloud & DevOps

Cloud architecture and DevOps engineering — infrastructure as code, CI/CD, containerisation, observability, cost control and incident readiness.

Core stack
AWS · Azure · Docker · Kubernetes · Terraform

Reliability comes from repetition, not heroics

If an environment can only be rebuilt by the one person who remembers how, you do not have infrastructure — you have an artefact. We convert that into code, pipelines and documentation.

What we typically deliver

  • Terraform-managed environments with genuine dev/stage/prod parity
  • Container builds and deployment pipelines with automated rollback
  • Kubernetes setups sized to the actual workload, or a deliberate decision not to use it
  • Metrics, logs and traces wired into alerts that correspond to user-visible symptoms
  • A cost breakdown by service and environment, with the obvious waste removed

On right-sizing

Not every company needs Kubernetes, multi-region failover or a service mesh. Part of the job is saying which parts of the standard playbook you can safely skip, and what that decision costs later.

Case studies

Where this work shows up

Problem, constraint, decision, consequence. No vanity metrics, no logos we are not allowed to name.

All case studies

Sample contentSample engagement. Illustrative scenario used while the site is in build — not a named client project.

data and analytics2025
  • Java
  • Kafka
  • PostgreSQL

01Analytics provider in the retail sector (sample scenario)

High-Load Data Processing System

A nightly batch pipeline that had outgrown its window, re-architected into an incremental streaming system with correctness checks that alert before customers notice.

  • Processing moved from a single nightly window to continuous incremental updates
  • Single-day reprocessing without re-running the full pipeline
  • Java
  • Kafka
  • PostgreSQL
  • Redis
  • Docker
fintech2025
  • Java
  • Spring Boot
  • Kotlin

02European payment service provider (sample scenario)

Payment Platform Modernization

A ten-year-old payment monolith moved from quarterly release windows to weekly deployments, without a rewrite and without a settlement incident.

  • Release cadence moved from quarterly windows to weekly deployments
  • Reconciliation lag reduced from overnight to near real time
  • Java
  • Spring Boot
  • Kotlin
  • PostgreSQL
  • Kafka

Start a conversation

Need this kind of work?Start here.

Tell us what you are trying to build, fix or decide. If we are not the right team for it, we will say so and point you somewhere better.

Typical first step: a 30-minute call, then a short written assessment.