Scale with cloud and platforms

Cloud foundations and platforms that help teams scale safely

Move from complex systems to modern cloud platforms

DiUS helps teams choose, build and operate the right cloud foundations across AWS, Google Cloud and Azure. As a long-standing, award-winning AWS Advanced Consulting Partner, we bring deep experience in secure, scalable cloud delivery.

We design the foundations that others build on. From secure cloud environments and multi-account landing zones to enterprise SSO, zero trust, serverless, containers and observability, we build cloud-native platforms that can carry real load.

We do the hard migrations. Monoliths that resist change, dozens of back-end systems that have to work together, regulated workloads, tight audit requirements, tricky auth and data boundaries, and teams that need to release many times a month. We use generative AI where it clearly lifts team productivity but never when speed would compromise reliability or security.

We bring product, platform and engineering leadership together to map the path, set guardrails and create golden paths. From strangling a monolith to safe cloud migrations, we codify everything with infrastructure and policy as code, embed DevSecOps practices, stand up CI/CD and observability, and measure with the four DORA metrics, then keep tuning. The result is safer change, faster delivery for product teams, fewer reliability surprises, and better cost and performance control as you scale.

Case studies

Our expertise

Cloud migration and modernisation across AWS, Google Cloud and Azure

Move legacy systems to modern cloud platforms with landing zones, automation and safe cutovers so value shows up early and risk stays low.

Platform engineering and internal developer platforms

Design scalable, resilient and observable foundations with golden paths, self-service workflows and reusable patterns that help teams ship faster with less cognitive load.

DevOps, DecSecOps, CI/CD and automation

Codify infrastructure and policy as code, automate build, test and release, and embed security into delivery so teams can ship early and often without increasing risk.

Reliability, observability and compliance

Embed SRE practices, monitoring, alerting, SLIs/SLOs, identity, encryption and audit controls so platforms remain available, secure and trusted as they scale.

Serverless and event-driven architectures

Use managed cloud services, events and queues to simplify operations, improve scalability and pay for what you use.

Developer tooling and enablement

Provide shared tools, environments, templates and golden paths that standardise the good stuff for faster onboarding, fewer papercuts and happier engineers.

Hybrid, edge and IoT backbones

Connect sites, devices and data streams to cloud platforms with secure connectivity, device management and field-ready integrations.

AI-assisted cloud delivery

Use generative AI to support legacy discovery, migration mapping, config and code generation, tests and documentation, with clear guardrails so speed never costs reliability or security.

How we work with you

We sit on your side of the table, plug in where we’re needed most, share the backlog and the outcomes, and leave your team stronger. Whether we’re mapping a migration, modernising a platform across AWS, Google Cloud or Azure, breaking up a monolith, standing up landing zones, creating golden paths or using AI to speed architecture discovery and migration planning, we focus on the backlog and outcomes that create the most value and impact.

Everything is security by default, observable and designed to keep shipping calm, even as scale and complexity rise.

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Shape the focus

Assess your current state and constraints, align stakeholders and define a target cloud architecture, migration plan and risk/cost model. Capture security and compliance needs early, then choose the smallest step that proves the path.

Build with discipline

Implement landing zones, networking, identity and SSO. Embed zero trust principles, DevSecOps, infrastructure and policy as code, CI/CD, observability and guardrails. Use AI to accelerate config, code, tests and documentation, with quality gates in place.

Evolve and scale

Embed SRE practices with SLIs/SLOs, runbooks and incident response. Tune performance and cost, run chaos and recovery drills, plan for multi-region and disaster recovery, and support hybrid, edge and event-driven integrations as your footprint grows.

Lift capability

Pair, document and coach so your engineers can run and extend the platform. Leave behind playbooks, golden paths and a clear ownership model that keeps delivery fast and safe.