DevOps · Cloud Engineering · AI-Augmented Delivery

Infrastructure that scales with your ambitions

Dependable Digital Solutions helps startups, scale-ups, and small businesses build reliable, automated, and cost-efficient cloud infrastructure on AWS — with AI embedded into the delivery process itself. Enterprise-grade engineering, made accessible and understandable for every team size.

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What we do

End-to-end cloud & DevOps expertise

From greenfield infrastructure to mature platform engineering — delivered pragmatically, documented thoroughly.

☁

Cloud Infrastructure

AWS architecture design and implementation. Secure, scalable VPCs, EKS clusters, RDS, S3, CloudFront, and beyond. Built right the first time.

  • AWS
  • Networking
  • Security
  • Cost optimisation
⚙

Infrastructure as Code

Production-grade Terraform modules and patterns. Modular, version-controlled, reviewable. No more snowflake environments.

  • Terraform
  • Modules
  • State management
  • Drift detection
↻

CI/CD & Automation

GitHub Actions, ArgoCD, and custom pipelines that ship confidently. Fast feedback loops, safe deployments, reliable rollbacks.

  • GitHub Actions
  • ArgoCD
  • Helm
  • GitOps
☄

Kubernetes & Containers

Containerisation strategy and EKS cluster management. From Dockerfile to production-hardened workloads with observability baked in.

  • Kubernetes
  • EKS
  • Docker
  • Observability
📊

Platform Engineering

Internal developer platforms that reduce cognitive load for engineering teams. Golden paths, self-service tooling, and platform roadmaps.

  • IDP
  • Developer experience
  • Service catalogues
🔒

DevSecOps

Security embedded into every stage of delivery. IAM least-privilege, secret management, SAST/DAST pipelines, and compliance guardrails.

  • IAM
  • Secrets
  • Compliance
  • Shift-left security
🔍

Architecture & Security Reviews

Point-in-time deep dives into existing infrastructure, IaC and security posture. Pragmatic findings with prioritised remediations — not a 90-page audit nobody reads.

  • Architecture audit
  • Security posture
  • Cost review
  • IaC review
🎓

Training & Mentoring

Hands-on cloud and DevOps training for engineering teams. Bespoke workshops for in-house teams, plus structured DevOps courses delivered through Cloudboosta Academy.

  • Workshops
  • Mentoring
  • Cloudboosta
  • Team upskilling
🧠

AI-Augmented Engineering

LLMs and agentic workflows integrated into your engineering and business processes — speeding up delivery, validating architectural decisions, and reducing the overhead of operating lean.

  • Agentic workflows
  • LLM integration
  • Process design
  • AI-assisted review
How we work

An engagement model that puts you in control

For build & run engagements, DDS delivers as a senior engineering function — without becoming a vendor you can't leave.

You own the infrastructure

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.

We supply the engineering

Senior platform expertise — design, build, deploy, maintain, iterate — without the headcount, recruitment or management overhead of an in-house team.

Outcomes, not tickets

Retainers dedicate capacity to your roadmap. Smaller iterations land in the same month they're agreed; larger initiatives are scoped jointly across cycles.

Transparent costs

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.

Emmanuel Pius-Ogiji
About

Engineering rigour meets delivery pragmatism

Nigerian-British, based in London. Emmanuel Pius-Ogiji is a Senior Platform Engineer with deep expertise across AWS, Terraform, and Kubernetes, and a First-class MEng in Electrical & Electronic Engineering from the University of Manchester. DDS works with a focused set of clients — deep engagement, not volume consulting.

Consultant → Team Lead
NatWest · Edinburgh

Took full ownership of the project and led the team, delivering work that generated £3m in revenue over roughly two years.

Senior DevOps Engineer
Mintel · London

Led the on-premise to AWS migration of the company's Content Management System — a platform responsible for approximately 40% of company revenue.

Senior Platform Engineer (II)
Attest · London

Building a new internal developer platform from scratch with a deeply GitOps-focused architecture — designed to strengthen disaster recovery posture and unlock enterprise clients.

Founder
Dependable Digital Solutions · London

DevOps, cloud, and AI consultancy. Recognised AWS DevOps Partner. Teaching, panels, and talks for Cloudboosta Academy.

Emmanuel is actively building with AI — designing agentic workflows, integrating LLMs into engineering processes, and using AI to validate decisions and accelerate delivery. This isn't a side interest; it's a core part of how DDS operates.

GitHub Medium LinkedIn
Outside work

Nigerian-British, Londoner, and firm believer that who you are away from the keyboard shapes how you think at it. Outside work, Emmanuel is a devoted Arsenal supporter — been watching since the Invincibles era in 2003 and hasn't stopped suffering since. He trains hard: kickboxing, weights, and cardio most of the week, which probably explains the obsession with systems that don't fall over under load.

Family is everything. And when he's not training or watching football, you'll find him deep in a comic book film, series, or a professional wrestling show — passionate enough about the genre to talk about it on podcasts, including appearances on Popcorn for Dinner with his friend. He writes about all of it — tech, sport, wrestling, film — on Medium.

✓
HashiCorp Certified: Terraform Associate Valid Jan 2025 – Jan 2027
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AWS Advanced Networking Specialty Valid Jul 2022 – Jul 2025
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CKAD: Certified Kubernetes Application Developer Aug 2021 – Aug 2024
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AWS Certified DevOps Engineer – Professional Dec 2020 – Dec 2023
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AWS Developer – Associate Apr 2020 – Dec 2023
MEng (Hons) Electrical & Electronic Engineering University of Manchester, 2013–2018 · First Class with Distinction
Current clients

Building real things that matter

A focused portfolio of engagements where engineering quality is non-negotiable.

Tasty African Food

Food & Beverage

Designing and building a cloud-native ERP system on AWS to manage operations, inventory, and fulfilment for a growing African food business. The platform is architected for reliability and cost-efficiency as the business scales.

  • AWS
  • ERP
  • Cloud-native
  • Infrastructure
Visit Tasty African Food ↗

DecoOps — Docket

Logistics & Operations

Platform engineering partner on Docket — a system designed to make logistics simpler for small businesses. Docket delivers convenience-as-a-service by making complex operational workflows invisible to the end user.

  • Platform engineering
  • Logistics
  • AWS
  • Small business
Visit Docket ↗
AI & LLMs

Engineering in the age of AI

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.

01

Agentic workflows

Designing multi-step, tool-using agents that automate complex engineering tasks — from infrastructure audits to documentation generation and change validation.

02

LLM-assisted design 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.

03

Process redesign with AI

Identifying where AI genuinely compresses delivery cycles and redesigning workflows around it — from CI/CD pipelines to client communication and runbook authoring.

04

Staying lean at scale

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.

Technology

The stack we work with

AWS
Terraform
Kubernetes
Docker
GitHub Actions
ArgoCD
Helm
Python
Prometheus
Grafana
Datadog
Linux
Claude / Anthropic
LangChain
Agentic workflows
OpenAI API
FAQ

Common questions

Everything we get asked before — and at — sign-off. If yours isn't here, just ask.

Isn't building a custom platform expensive?

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.

What happens if DDS goes away?

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.

Do I need an in-house tech team to use a DDS-built platform?

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.

How long does a typical engagement take?

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.

How does the retainer differ from a typical agency contract?

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.

Why not use an off-the-shelf SaaS instead?

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.

Contact

Let's talk about your infrastructure

Whether you're starting from scratch, scaling an existing platform, or trying to untangle something painful — get in touch. Engagements are typically 1–3 months with options to extend.

Great technology should be accessible to every business, not just those with large engineering budgets. DDS delivers enterprise-grade cloud infrastructure and AI-augmented processes to small and growing businesses — in plain language, at a pace that makes sense for them.

Based in London. Remote-first. UK and international engagements welcome.

@ epiusogiji@dependabledigitalsolutions.com in Message on LinkedIn gh View on GitHub