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Datamonk

Cloud & DevOps

Infrastructure that scales quietly and bills predictably

Deployment should be boring. We codify your infrastructure, automate the release path, and instrument the system so that failures are detected, understood, and rolled back automatically. Alongside that, we tune the cloud bill, which typically pays for a meaningful part of the engagement.

Typical outcomes

95%Faster deployments
99.9%Uptime target
LowerMonthly cloud spend

Best for

Teams whose releases are risky or manual, and products outgrowing their original infrastructure.

Our approach

How we run it.

The sequence we follow on every engagement in this discipline.

01

Infrastructure audit

A clear picture of your current architecture, cost drivers, security gaps, and single points of failure.

02

Infrastructure as code

Every environment reproducible from a repository. No undocumented console changes.

03

Orchestration

Containerised workloads with autoscaling, sensible resource limits, and zero-downtime rollouts.

04

Delivery automation

Pipelines that test, scan, build, and deploy on merge, with automatic rollback on failure.

05

Observability & response

Metrics, logs, and traces unified, with alerts that map to runbooks instead of guesswork.

Deliverables

What you actually receive.

Tools we reach for

AWSGCPKubernetesTerraformDockerGitHub ActionsGrafana
Kubernetes platforms
Terraform infrastructure modules
CI/CD pipelines
Monitoring, logging & tracing
Disaster recovery & backups
Cloud cost optimisation

Cloud & DevOps

Let's scope it properly.

Send us the problem in a few sentences. We'll come back with an honest view of the approach, the timeline, and the cost.