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Cloud Engineering & DevOps

Scalable, resilient infrastructure for modern workloads

Problems this service solves

Deployments are manual and risky, so releases happen less often than they should.

Infrastructure costs grow faster than usage because nobody owns cost optimization.

A single point of failure exists somewhere, and nobody's fully sure where.

Overview

Cloud is no longer about migration — it's about engineering for reliability, cost efficiency, and developer productivity at the same time. We design and operate cloud infrastructure on AWS, Azure, and GCP, and build the DevOps pipelines and platform engineering foundations that allow software teams to ship faster without sacrificing stability. From Kubernetes-based container platforms to serverless architectures, multi-region HA setups, and full infrastructure-as-code automation, we bring the same engineering rigour to infrastructure that we bring to application code.

Infrastructure-as-code setupCI/CD pipelineObservability stackDisaster-recovery plan

Capabilities

Cloud architecture design (AWS, Azure, GCP) for greenfield and migration workloads

Kubernetes cluster deployment and management (EKS, AKS, GKE)

CI/CD pipeline design and implementation (GitHub Actions, GitLab CI, Jenkins)

Infrastructure as Code with Terraform and Pulumi

Cloud cost optimization and FinOps practices

Multi-cloud and hybrid cloud strategy and implementation

High availability and disaster recovery architecture

Cloud security posture management and compliance (CIS, NIST, ISO 27001)

Serverless architecture and event-driven system design

Cloud-native database management and optimization

Observability stack: logging, monitoring, alerting (Prometheus, Grafana, ELK)

How an engagement typically runs

A representative shape, not a fixed script — every engagement includes a validation step with your team before anything ships.

Illustrative workflow
1
Current state assessed
Existing infrastructure and pain points are audited.
2
Target architecture designed
Cloud provider, topology, and IaC approach are chosen for your workload.
3
Built & migrated
Infrastructure is provisioned as code and workloads migrated in stages.
4
Observability wired in
Logging, monitoring, and alerting are set up before go-live, not after an incident.
5
Operated & optimized
Ongoing cost and reliability tuning under a support engagement.

Integration approach

We work inside your existing cloud account and CI/CD tooling wherever possible rather than requiring a full platform switch; a specific cloud provider or IaC tool is recommended only after assessing your current setup and constraints.

Technologies

AWSAzureGoogle CloudKubernetesDockerTerraformGitHub ActionsArgoCDPrometheusGrafanaElasticsearchHelm

Frequently asked questions

Do we need to move to a different cloud provider?

Not necessarily — we typically work within your existing AWS, Azure, or GCP account rather than mandating a migration.

How do you approach cost optimization?

As an ongoing practice (FinOps), not a one-time cleanup — right-sizing and waste elimination are built into the operating model.

What's covered by ongoing support after go-live?

Monitoring, incident response, and infrastructure changes — scoped under whichever engagement model fits, see Engagement Models.

Scope the engagement

Scope your Cloud Engineering & DevOps engagement.

We'll walk through what you need built, which engagement model fits, and a realistic timeline.

Talk to us about scope