From greenfield infrastructure to mature platform engineering — delivered pragmatically, documented thoroughly.
AWS architecture design and implementation. Secure, scalable VPCs, EKS clusters, RDS, S3, CloudFront, and beyond. Built right the first time.
Production-grade Terraform modules and patterns. Modular, version-controlled, reviewable. No more snowflake environments.
GitHub Actions, ArgoCD, and custom pipelines that ship confidently. Fast feedback loops, safe deployments, reliable rollbacks.
Containerisation strategy and EKS cluster management. From Dockerfile to production-hardened workloads with observability baked in.
Internal developer platforms that reduce cognitive load for engineering teams. Golden paths, self-service tooling, and platform roadmaps.
Security embedded into every stage of delivery. IAM least-privilege, secret management, SAST/DAST pipelines, and compliance guardrails.
Point-in-time deep dives into existing infrastructure, IaC and security posture. Pragmatic findings with prioritised remediations — not a 90-page audit nobody reads.
Hands-on cloud and DevOps training for engineering teams. Bespoke workshops for in-house teams, plus structured DevOps courses delivered through Cloudboosta Academy.
LLMs and agentic workflows integrated into your engineering and business processes — speeding up delivery, validating architectural decisions, and reducing the overhead of operating lean.
For build & run engagements, DDS delivers as a senior engineering function — without becoming a vendor you can't leave.
Cloud accounts, code and data are registered in your business's name from day one. DDS doesn't resell hosting and doesn't lock data behind a contract.
Senior platform expertise — design, build, deploy, maintain, iterate — without the headcount, recruitment or management overhead of an in-house team.
Retainers dedicate capacity to your roadmap. Smaller iterations land in the same month they're agreed; larger initiatives are scoped jointly across cycles.
Cloud bills are paid by you, directly to the provider — no markup, no opaque per-seat or per-branch fees. You see exactly what the platform costs to run.
DDS isn't just building infrastructure — it's building it differently. Emmanuel has hands-on experience designing agentic workflows and integrating LLMs into real engineering and business processes, not as experiments but as production tools that change how work gets done.
In a sole-proprietorship consultancy, speed and leverage matter. AI is embedded into every engagement: drafting and validating architectural designs, stress-testing infrastructure decisions against known failure modes, reviewing IaC before it touches production, and accelerating delivery across the full stack.
The result is a consultancy that punches well above its size — thorough where it matters, fast where it can be.
Designing multi-step, tool-using agents that automate complex engineering tasks — from infrastructure audits to documentation generation and change validation.
Using LLMs as a fast second opinion on architecture and security decisions — catching gaps before they become incidents, without waiting for a formal review cycle.
Identifying where AI genuinely compresses delivery cycles and redesigning workflows around it — from CI/CD pipelines to client communication and runbook authoring.
For small teams and sole operators, AI is a force multiplier that makes senior-level rigour accessible without senior-level headcount. DDS is proof of this in practice.
Everything we get asked before — and at — sign-off. If yours isn't here, just ask.
Not when the cloud account is yours and the engineering is contracted. DDS doesn't resell hosting — you pay AWS directly, typically £20–£100/month at small-business scale, then a flat retainer for engineering. Off-the-shelf SaaS often charges £80+ per seat or per branch with per-transaction fees on top, which scales linearly with your business; cloud-native platforms don't.
Everything continues. The AWS account, source code, data and infrastructure are registered in your business's name from day one — DDS supplies the engineering, you own the assets. If we part ways, the platform keeps running. Source code is handed over on request.
No. Day-to-day operation is designed for non-technical users — mobile-first interfaces for operational staff, dashboards for leadership. Anything technical (deployments, monitoring, updates) is handled by DDS through the monthly retainer.
Build & run engagements: 4–6 weeks from sign-off to first production rollout, then a rolling retainer reviewed annually. Architecture or security reviews: 1–3 weeks. Training engagements: scoped to your team's needs.
It's outcome-based, not ticket-based. DDS dedicates capacity to your roadmap each month — smaller enhancements typically land within the month they're agreed; larger initiatives are scoped jointly and delivered across cycles. There's no "support hours" timer running in the background.
For some businesses, SaaS is the right call — fast to start, no engineering overhead. Where DDS makes more sense: when you want to own your data, when per-seat or per-branch pricing scales badly with your model, or when the workflow is specific enough that off-the-shelf platforms force you to bend your business to their assumptions.