DCT

Turning Cloud Complexity Into Business Agility

DCT architects, migrates, modernises, operates and optimizes cloud environments across Akamai, AWS, Azure, hybrid and multi-cloud infrastructure governed by ZTNA, ISO 27001, SOC 2 Type 2, and HITRUST framework.

Challenges & Solutions

Build the cloud around what your systems need to do.

  • 01

    Tightly coupled application dependencies

    Legacy software paths, undocumented data flows, and shared services make infrastructure changes an estate-wide risk if not mapped before provisioning.

    What DCT does

    Plans workload assessment, target architecture, and migration execution against agreed performance, availability, and cost targets.

  • 02

    Applications built for yesterday's infrastructure

    Software designed for static, on-premise environments cannot scale the way modern cloud workloads demand.

    What DCT does

    Architects and builds applications for containers, managed services, and serverless infrastructure designed to scale reliably in production.

  • 03

    Governance and compliance rigor

    Enterprise cloud operations must satisfy strict security controls, regulatory frameworks, and audit requirements without slowing down software delivery velocity.

    What DCT does

    Unifies governance, security guardrails, and operational visibility across AWS, Azure, and hybrid estates under one operating model.

  • 04

    Uncontrolled operational drift

    Without continuous monitoring, performance tuning, and infrastructure governance, cloud estates accumulate technical friction, latency, and unnecessary spend.

    What DCT does

    Builds observability into every workload, tuning against latency, uptime, and cost targets so issues surface before users notice.

How We Work

From existing environment to continuous improvement.

A structured five-stage cloud engineering workflow moving from estate discovery to long-term operational excellence.

  • 01

    Assess

    Map existing technology workloads, dependencies, technical debt, and security requirements to establish an empirical baseline before provisioning.

  • 02

    Architect

    Define resilient cloud architecture, governance guardrails, and infrastructure automation tailored to system latency, security, and uptime needs.

  • 03

    Engineer

    Build, migrate, containerize, and integrate cloud capabilities directly inside client-owned accounts with automated deployment controls.

  • 04

    Operate

    Support live production environments with embedded reliability engineering, real-time observability, and ISO 27001 / SOC 2 operational discipline.

  • 05

    Optimize

    Continuously evaluate workload performance, resource efficiency, latency, and cloud spend as application demands and business priorities evolve.

The DCT Advantage

Built for Enterprise. Engineered for Cloud Scale.

DCT combines cloud engineering depth with enterprise-grade security, compliance readiness and strategic technology partnerships to architect, migrate, optimise and operate complex cloud environments.

  1. Trust by Design

    Zero Trust principles and established security frameworks shape how users, workloads, applications and data access cloud environments.

  2. Compliance Ready

    Cloud engineering informed by recognised standards and assurance frameworks including ISO 27001, ISO 42001, SOC 2 Type II and HITRUST, subject to applicable DCT credentials.

  3. Accelerate with Akamai

    As a high-tier Akamai partner, DCT delivers end-to-end Akamai services across cloud infrastructure, application delivery, security, performance and operations, extending well beyond traditional edge services.

  4. Technology Ecosystem

    DCT works across leading cloud and technology ecosystems including AWS and Google to build cloud environments around existing enterprise platforms, applications and operating models rather than forcing a new stack.

Case Studies

What cloud engineering looks like in practice.

  • Technology · Enterprise Software

    A healthcare data platform moved from isolated AI pilots to one operating model

    The company had committed to becoming AI-led, and individual pilots were working. What it lacked was a way to scale them. Each pilot followed its own path, so success was hard to repeat. No operating model existed for reviewing and deploying initiatives, and evaluation depended on outside partners.

    DCT built an AI Center of Excellence with governance inside it rather than beside it. Nexus gives every initiative a defined path from evaluation through resourcing to deployment. Guardian embeds compliance controls, defined ownership and human oversight from the start.

    Capability stayed in-house. Internal teams now have the structure to advance initiatives themselves, and each new one builds on a shared operating model rather than starting from scratch.

  • Media & Entertainment · Platform Operations

    An operations team gets the cause with the alert instead of after it

    Operational data sat across disconnected tools, so context for one incident had to be assembled from several places. Alerts arrived in volume, competing equally for attention. Each one reported that something had changed; working out why was a manual investigation starting from scratch.

    DCT deployed ObserveIQ and Flow as one operating layer. ObserveIQ links related signals so the probable cause arrives with the alert, ranks anomalies by operational weight, and returns the next action. Flow routes each issue to the right team and runs recurring responses as workflows.

    Detection came first, automation followed it. VMs, Kubernetes, databases, cloud infrastructure and applications now report into one view, and every resolved pattern becomes the workflow for the next occurrence.

Common Questions

Frequently Asked Questions

What does DCT's Cloud Engineering service include?

DCT Cloud Engineering covers workload assessment, architecture design, and migration execution. It also includes cloud-native development, multi-cloud operations, and ongoing performance and cost optimization.

What Akamai services does DCT deliver as part of Cloud Engineering?

As a high-tier Akamai partner, DCT delivers end-to-end Akamai services across cloud infrastructure, application delivery, security, and performance, extending well beyond traditional edge services.

How does DCT apply Zero Trust principles in cloud environments?

DCT applies ZTNA principles to govern how users, workloads, applications, and data access cloud environments. Every connection is verified, not implicitly trusted.

Can DCT's Cloud Engineering team work with our existing infrastructure?

Yes. DCT works within existing AWS, Azure, hybrid, and multi-cloud environments, integrating with current architecture rather than requiring a rebuild.

How does DCT manage security and compliance during cloud migration?

DCT migrates workloads under ISO 27001, SOC 2 Type II, and HITRUST-aligned controls, embedding governance and risk management into every stage of the process.

Does DCT support cloud environments after deployment?

Yes. DCT provides continuous operations, reliability engineering, and optimization post-deployment, tuning performance, uptime, and cost as needs evolve.

How does DCT's Cloud Engineering support future AI workloads?

DCT builds cloud infrastructure with the data pipelines and compute foundations that AI workloads require, so environments are ready to support AI initiatives as they scale.

Build the cloud foundation your systems can keep building on.

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