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Cloud infrastructure, CI/CD pipelines, monitoring and reliability systems

Cloud, DevOps & SRE Enablement

Cloud and DevOps Engineering for Teams That Ship Without Breaking Things

Most engineering teams reach a point where deploys slow down, incidents increase, and infrastructure costs become hard to explain. We fix the architecture, pipelines, and observability that cause those problems.

Cloud architecture designed around your product topology and compliance needs
CI/CD and infra-as-code that your team owns and can extend
Observability and SLOs that make on-call manageable
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What Breaks Most Cloud and DevOps Pipelines

Most outages and slow launches trace back to the same three problems. None of them require bad engineers. They require infrastructure that was built incrementally without a clear architecture, and never refactored.

  1. Ad-hoc Infrastructure

    Resources created manually over time, with no consistent naming, no environment parity between staging and production, and no record of what was deployed and when.

  2. Fragile Pipelines

    CI/CD that fails on minor dependency changes, no defined promotion workflow between environments, and deploys that take long enough that teams batch changes to avoid running them.

  3. Visibility and Compliance Gaps

    No single place to see service health, alerting that fires on noise rather than real failures, and security posture that has never been formally reviewed against SOC 2, ISO, or internal controls.

Our Approach: Infrastructure Treated as a Product

When infrastructure is treated as a shared product with defined users, a prioritised backlog, and measurable SLAs, reliability improves without requiring heroics from on-call engineers. We apply that framing to every engagement: architecture decisions are tied to product and release goals, not to whichever tool was convenient at the time.

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Our Cloud & DevOps Framework

Six Steps From Audit to a Reliable, Documented Infrastructure

Each step produces a concrete output: a current-state map, an architecture decision record, a working pipeline, a live dashboard. Nothing ends as a slide deck recommendation.

  1. 1

    Discover and Diagnose

    Audit cloud accounts, pipelines, environments, cost allocation, security posture, and the last 90 days of incident history to document what the infrastructure actually looks like today.

  2. 2

    Architecture and Landing Zone

    Design landing zones, network topology, environment structure, and IAM patterns based on your team model, product topology, and compliance requirements.

  3. 3

    Automation and CI/CD

    Build infra-as-code, container templates, and CI/CD pipelines that define exactly how services are built, tested, promoted, and rolled back across environments.

  4. 4

    Observability and SLOs

    Instrument logs, metrics, and traces. Define SLOs and error budgets per service. Wire alerts to real failure conditions so on-call engineers get pages that mean something.

  5. 5

    Security and Compliance

    Apply access controls, secrets management, backup policies, and automated guardrails mapped to SOC 2, HIPAA, ISO 27001, or your internal control framework.

  6. 6

    Optimise and Scale

    Review reserved capacity, autoscaling policies, and idle resource cleanup. Update incident runbooks and architecture decisions as traffic, products, and team structure change.

Client Outcomes

Proof and Results

These outcomes came from fixing specific infrastructure problems, not from migrating to a new cloud provider or adopting a new platform category.

B2B SaaS & IT

65% reduction in P1 incidents after landing zone redesign, CI/CD refactor, and alert tuning. Deploy frequency increased from twice a week to daily.

D2C / E-commerce

40% infrastructure cost reduction through autoscaling policy corrections, reserved instance planning, and removal of resources that had not served traffic in over six months.

Real Estate

99.95% uptime across core customer journeys after adding multi-zone redundancy, automated backups, and SRE runbooks for the four most common failure modes.

"Deploys went from twice a week to daily. The infra is documented now, which means new engineers can contribute without a two-week onboarding just to understand what runs where."

CTO, B2B SaaS, U.S. 65% fewer P1 incidents · Daily deploys

★★★★★

"We cut infra spend by 40% and got our first honest look at cost per service. The observability work means we catch failures before customers report them."

Head of Engineering, E-commerce, India 40% cost reduction · 99.95% uptime

★★★★★
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Industry-Specific Impact

Where Infrastructure Problems Hurt the Most

The architecture principles are the same across industries. What differs is which failure mode costs the most. Here is where we start in each sector.

💼

B2B SaaS & IT

Multi-tenant isolation, per-environment promotion workflows, and feature flag infrastructure that let product teams ship independently without breaking shared services.

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🛒

D2C / E-commerce

Autoscaling policies calibrated to your traffic patterns, edge caching for catalogue and content pages, and observability that covers checkout conversion as a service health signal.

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🏙️

Real Estate & PropTech

Lead routing systems, CRM integrations, and data platforms built for reliability during high-demand launch windows when downtime has a direct cost per missed enquiry.

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What You Get

What Every Cloud and DevOps Engagement Produces

Documented architecture, working automations, and runbooks your team can operate. Each deliverable is owned by your engineers before the engagement ends.

☁️

Cloud Architecture and Landing Zone

Environment design, network layout, IAM patterns, and account structure documented in architecture decision records your team can reference when the next change comes.

🔁

CI/CD and Infra-as-Code

Pipelines and Terraform or CloudFormation modules that define how every service is built, tested, and deployed. Standard templates reduce the time to onboard a new service from days to hours.

📈

Observability and SRE Practices

Dashboards, alert rules, SLO definitions, and on-call runbooks. MTTR drops when engineers can locate a failure in minutes rather than spending an hour reading logs across four tools.

🔒

Security and Compliance Guardrails

Access controls, secrets management, backup automation, and policy-as-code mapped to SOC 2, HIPAA, ISO 27001, or your internal control requirements.

🧭

Runbooks and Optimisation Roadmap

Step-by-step runbooks for your most common failure scenarios, plus a 90 to 180 day roadmap covering cost reduction, reliability improvements, and infrastructure capabilities your product roadmap will need next.

Start With a Cloud and DevOps Audit

We review your architecture, pipelines, observability, and security posture, then deliver a 90-day roadmap with specific changes ranked by impact on reliability, cost, and release speed.

Request Cloud & DevOps Audit Align Tracking & Product Analytics

Cloud and DevOps Engineering Insights

Practical guides on cloud architecture, CI/CD automation, observability, platform engineering, and scaling infrastructure without accumulating reliability debt.

Help Center

Cloud and DevOps Engineering: Common Questions

Questions clients ask before starting a cloud or DevOps engagement.

Both. We design new cloud landing zones from scratch and refactor existing environments. For refactors, we start with the audit phase to document the current state before changing anything, so no working system is disrupted during the transition.

AWS, Google Cloud, and Azure. The platform is selected or retained based on your existing product integrations, team familiarity, compliance requirements, and cost model. We do not have a preferred vendor.

Yes. We work as an architecture and enablement partner. Your team owns the systems; we define the patterns, CI/CD workflows, and runbooks, and transfer knowledge through pairing and documentation so they can maintain and extend everything after the engagement.

Yes. We implement access controls, secrets management, backup automation, and policy-as-code against SOC 2, ISO 27001, HIPAA, or your internal control framework. For SOC 2 specifically, we produce the infrastructure evidence your auditor will request.

We agree on target metrics at the start of the engagement. Typically these are P1 incident frequency, MTTR, deploy frequency, infrastructure cost per service, and SLO attainment rate. Baseline values are measured during the audit phase so changes are traceable.

Yes. Ongoing retainers cover roadmap execution, reliability review cycles, cost optimisation, and architecture updates as your product and team structure change. Scope is defined quarterly so it stays matched to what your engineering team actually needs.