// Cloud & DevOps consulting

Cloud and DevOps platforms,
built to scale.

We design, build and run reliable platforms on AWS, Azure and GCP, using Kubernetes, GitOps, infrastructure as code, plus observability, monitoring and FinOps practices.

Book a free 30-min call Explore services
  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Docker
  • Terraform
  • Ansible
  • GitOps
  • Argo CD
  • CI/CD
  • Observability
  • Monitoring
  • FinOps

// What we do

From cloud foundations to production Kubernetes, CI/CD and security. Here is where we usually help.

Cloud Architecture & Platform Engineering

Solid foundations on AWS, Azure and GCP: landing zones, networking, security and cost guardrails, set up the right way so they do not bite you later.

  • AWS
  • GCP
  • Azure
  • Landing zones

Kubernetes Platforms

EKS and AKS running microservices. GitOps with the Argo CD app-of-apps pattern, multi-environment pipelines, autoscaling with HPA and VPA, plus policies and security.

  • Kubernetes
  • EKS / AKS
  • Argo CD · App-of-Apps
  • Helm & Kustomize

Infrastructure as Code

Terraform, Crossplane and Ansible for multi-account setups and reusable modules. Versioned infrastructure, drift kept under control, and environments you can recreate on demand.

  • Terraform
  • Crossplane
  • Ansible
  • Docker

CI/CD & Release Automation

Build, test and release pipelines on Azure DevOps, GitHub Actions and GitLab CI. Reusable templates, semantic versioning and releases that look the same across every service.

  • Azure DevOps
  • GitHub Actions
  • GitLab CI
  • Pipeline templates

DevSecOps

Supply-chain security, secrets management and policy-as-code. The checks run inside the pipeline, so security does not turn into the thing that holds releases back.

  • SonarQube
  • Trivy
  • GitLeaks
  • KICS

Observability & SRE

Metrics, logs, traces and SLOs, with backups and disaster recovery in place. Monitoring and runbooks that catch problems before your users report them.

  • Prometheus
  • Grafana
  • OpenTelemetry
  • CloudWatch

MLOps Enablement

MLflow for experiment tracking, containerized ML services and CI/CD for ML workloads. We help data and ML teams get from a proof of concept to something they can run in production.

  • MLflow
  • ML pipelines
  • CI/CD
  • Containers

Cloud Migration

Lift-and-shift or re-architect. We move workloads to the cloud in waves and keep downtime and risk low across AWS, Azure and GCP.

  • AWS
  • GCP
  • Azure
  • Re-architecture

Cost & Performance

FinOps, rightsizing, autoscaling and performance tuning. Findings you can act on in days, and the reliability wins that tend to come with them.

  • FinOps
  • Rightsizing
  • Autoscaling
  • Tuning

// Extended team

DTS leads every engagement. When a project needs more than cloud and DevOps, I bring in specialists I have worked with and trust, so you get one point of contact and the right people on the job.

Software Engineering

Application development with a strong .NET background: APIs, backend services and the pipelines to ship them.

  • .NET
  • APIs
  • Backend

Data Science & AI/ML

Machine learning and data work, from models and data pipelines through to running them in production next to the platform.

  • Machine learning
  • Data pipelines
  • Analytics

Integration & Middleware

Enterprise integration and middleware: Oracle Service Bus, XML and service-oriented systems that connect the tools a business already runs on.

  • Oracle Service Bus
  • XML
  • SOA

// Why choose us

We work alongside engineering teams in SaaS, FinTech and enterprise. Hands-on, opinionated, and focused on results you can measure.

  • AWS, Azure and GCP, multi-cloud native
  • Kubernetes, GitOps and IaC specialists
  • ML platform work with MLflow
  • Knowledge transfer included
  • No vendor lock-in agenda
  • Free 30-min intro call

Outcomes over outputs

We tie platform decisions to real KPIs and user impact, not ticket counts.

Security by default

Security checks run in the pipeline from the start, instead of being bolted on at the end.

Operate what we build

We add SRE practices and observability early, and we stay to run what we ship.

Automate the boring

IaC and GitOps to cut manual work and drift, so your team can focus on the things that matter.

  • AWS
  • GCP
  • Azure
  • Kubernetes
  • Docker
  • Terraform
  • Crossplane
  • Ansible
  • Helm
  • Argo CD
  • GitOps
  • CI/CD
  • Observability
  • Monitoring
  • FinOps
  • Prometheus
  • Grafana
  • Linux

// Who you'll work with

You will talk to the person who does the work, not a salesperson. A straight conversation about what your team actually needs.

Track record

  • 5+ PB
    sensitive data managed
  • 5M+/day
    requests supported
  • 98%
    faster deployments
  • 60%
    cloud cost reduced

Selected experience

  • Global professional services firm Azure Container Apps, reusable DRY Terraform modules for multi-subscription environments, MLflow & Keycloak, and standardized CI/CD across Java, .NET and JS.
  • Large-scale AWS data platform 5+ PB of sensitive data and 5M+ requests a day. Fully automated CI/CD, GitOps with Argo CD and Helm, modular multi-account Terraform, and a 60% cut in S3 storage cost.
  • Enterprise e-banking (Azure) New CD process reducing deployment time by 98%; GitOps with Kustomize + Argo CD; DevSecOps with SonarQube, Trivy & GitLeaks; led a team of three engineers.

// Let's talk

Tell us what you're building

Send over what your setup looks like and where it hurts, and we can work out scope and timelines on a short call.

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Experience across SaaS, FinTech and enterprise teams.