Cloud infrastructure & IaC
Terraform and Pulumi-based infrastructure that is reproducible, version-controlled, and auditable. AWS, GCP, and Azure, including Kubernetes cluster design and management.
DEVOPS & SITE RELIABILITY
Infrastructure that deploys reliably
and scales predictably.
IaC-based cloud infrastructure, CI/CD pipelines, and observability built to make reliability a system property, not something your on-call rotation compensates for.
What we do
Infrastructure you can operate and trust.
CI/CD pipeline engineering
Deployment pipelines from commit to production, with environment promotion, rollback paths, and release controls matched to your team's workflow.
Observability & incident response
Structured logging, distributed tracing, alerting, and runbooks. We instrument your system so that when things go wrong, you know before your users do.
Cost and reliability optimisation
Resource rightsizing, capacity planning, resilience checks, and SLO definition. We make reliability a system property, not an SRE headcount problem.
Who it's for
When DevOps & SRE is the right call. This is usually not a tooling problem — it's an ownership, documentation, and production-readiness problem.
You ship to production by hand
One senior engineer owns the deploy, and everyone holds their breath until it's done. The fix is pipeline engineering, not more process documentation.
Your infrastructure lives in someone's head
Undocumented AMIs, manually configured cloud resources, and deployment scripts no one has touched in two years. A new engineer can't run any of it.
You find out about incidents from users
No alerting, no tracing, no structured logs, the first signal is a support ticket, not a dashboard.
Your cloud bill outgrew your revenue
Oversized instances and architecture decisions made under early-stage time pressure, never revisited since.
How we deliver
From fragile infrastructure to a system you can operate.
We start by understanding how your team deploys, operates, and recovers today. Then we improve the riskiest parts first, so production does not depend on one big migration, one undocumented script, or one engineer who knows where everything lives.
Stage 01
Audit current state
We map existing infrastructure, deployment process, and incident history before changing anything.
Infrastructure audit, risk map
Stage 02
Design the target operating model
IaC modules, pipeline stages, and observability coverage, scoped to what the team will actually operate, not a theoretical best-practice stack.
Target architecture plan
Stage 03
Migrate incrementally
No big-bang cutover. Each stage ships and is validated in production before the next begins.
Staged migration, validated at each step
Stage 04
Document and hand off operations
Runbooks, architecture diagrams, and on-call procedures a new engineer can follow without you in the room.
Runbooks, architecture docs, on-call procedures
Production work needs a team with delivery history, not only cloud tooling knowledge.
70+ production systems delivered since 2019
95% client retention across multi-quarter engagements
40+ senior engineers across EU and US
7 years building for fintech, healthcare, and regulated industries
What you get
Concrete outputs, not just capacity.
The exact scope depends on your current infrastructure, but the engagement should leave your team with assets they can operate, review, and extend, not a black-box setup that only the vendor understands.
WHAT YOU GET
IaC repository
Terraform/Pulumi modules, version-controlled and documented, ready for your team to extend.
CI/CD pipelines
Configured with rollback and environment promotion, integrated into your existing release process.
Observability stack
Dashboards, alerting rules, and runbooks scoped to your actual failure modes, not generic templates.
Cost and capacity report
Concrete rightsizing recommendations tied to your actual usage, not industry averages.
Selected work
Infrastructure and reliability work in production.
E-commerce Real-Time E-Commerce Intelligence & Data Streaming Platform
Engineered a fault-tolerant data streaming platform for ActiDash capable of processing billions of e-commerce events — delivering near real-time dashboards across sales, marketing, and consumer behavior metrics to business stakeholders, delivered ahead of schedule.
Read case study
IoT & Industrial Tech Cloud-Agnostic IoT Framework for High-Throughput Edge Intelligence
Engineered a lightweight, cloud-agnostic IoT platform for MirrorIOT that supports high-throughput sensor data ingestion, multi-tenant device management, and secure OTA firmware updates — eliminating cloud vendor lock-in and enabling deployment across cloud and on-premises environments.
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Manufacturing Cloud-Bridging Remote Printing Service for ZPL Industrial Printers
Built a hybrid microservice that bridged ZPL industrial printers to Microsoft Business Central ERP via Azure — enabling remote, centralized label printing across multiple factory locations without network reconfiguration, and eliminating the manual intervention that was creating production bottlenecks.
Read case study Questions
Common questions
How long does a typical DevOps engagement take?
It depends on the starting state more than anything else, an audit-and-fix on an existing AWS setup runs differently than a full migration across providers. Scoping happens before any commitment, and the timeline comes out of that, not a fixed package.
Do you work with our existing cloud provider, or migrate us to a new one?
We work inside your existing provider by default. A provider migration only gets proposed if there's a concrete reason, cost, compliance, or a capability gap, and that gets discussed and agreed before it happens, not decided unilaterally mid-engagement.
What happens to our current infrastructure during migration?
Nothing gets replaced in one move. Each stage of the migration ships and is validated in production before the next begins, so the current system keeps running throughout, there's no maintenance window where everything is down at once.
Do you provide ongoing on-call support after handoff?
Handoff includes the documentation and runbooks your team needs to run on-call themselves. If ongoing operational support is wanted instead of a full handoff, that's a separate, explicit engagement, not something bundled in by default.
How do you decide what to automate first?
By impact and risk, not by what's easiest to automate. The audit stage identifies which manual steps are actually slowing deploys or causing incidents, and that ordering drives the sequence, not a generic checklist.
Will this work require our engineers to learn new tools?
Only where the current setup genuinely can't support what's needed, for example, replacing undocumented manual scripts with IaC. We don't introduce tooling for its own sake, and any new tool gets flagged and explained before it's adopted.
Let's review your infrastructure posture.
Book a call. We'll discuss your current deployment process, reliability gaps, and what a DevOps engagement would scope to.