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DATAMANTECHNOLOGIES

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INFRASTRUCTURE
BUILT TO SCALE.

Cloud architecture, containerisation, deployment pipelines, infrastructure automation, observability and scalable environments.

Overview

Everything as code

Environments are declarative and version-controlled, so staging and production stay genuinely comparable.

Boring deployments
Automated pipelines, health gates and safe rollback make releasing a routine, low-drama event.
Cost is an architecture decision
Right-sizing, autoscaling and spend visibility are part of the design, not a quarterly clean-up.

Cloud Engineering — reference architecture

Business problems addressed

WHEN COMPANIES CALL US.

01

Environments are configured by hand and cannot be reproduced.

02

Deployments are risky, manual and infrequent.

03

There is no reliable picture of system health until users complain.

04

Cloud spend grows faster than usage and nobody can explain why.

Engineering capabilities

WHAT THIS ENGAGEMENT COVERS.

  • 01

    Cloud architecture

  • 02

    AWS

  • 03

    Containers

  • 04

    Kubernetes

  • 05

    Infrastructure as Code

  • 06

    Terraform

  • 07

    CI/CD

  • 08

    Networking

  • 09

    Monitoring

  • 10

    Observability

  • 11

    Scaling

  • 12

    Reliability

  • 13

    Security

  • 14

    Cost optimisation

Typical engagements

  • Landing-zone and environment design for a growing platform
  • Migration from manual infrastructure to Terraform-managed environments
  • Reliability and observability programme with defined service objectives

Technology expertise

  • AWS
  • Terraform
  • Docker
  • Kubernetes
  • GitHub Actions
  • Prometheus
  • Grafana
  • OpenTelemetry

Technologies listed reflect production experience, not certifications or vendor partnerships.

START A CLOUD ENGINEERING PROJECT.