Service
Cloud & Infrastructure
Platforms that are cheap to run and safe to change.
Executive summary
What this practice is for.
Cloud bills rise when architecture decisions are made ticket by ticket. Reliability falls when deployment is manual and undocumented.
We design landing zones, automate delivery and instrument everything, so change becomes routine and cost becomes predictable.
Where you want it, we run the platform for you under an agreed SLA.
Business challenges
What we are usually called in to fix.
Unpredictable cloud spend
Nobody can attribute cost to a service, team or customer.
Manual releases
Deployments require a change window, a runbook and a held breath.
Unclear recovery posture
Backups exist; restores have never been rehearsed.
Alert fatigue
Monitoring produces noise rather than actionable signal.
Why traditional approaches fail
- Infrastructure created by hand cannot be reproduced or reviewed.
- Kubernetes adopted as a fashion rather than a sized decision.
- Cost optimisation attempted after architecture is frozen.
- Ops teams are handed systems they were never involved in designing.
Methodology
The SJAIN method.
Six stages, each with defined inputs, outputs and owners.
- Step 01
Assess
Review architecture, cost, reliability and security posture against a defined baseline.
- Step 02
Design
Landing zone, network, identity, environments and guardrails as code.
- Step 03
Automate
CI/CD pipelines, infrastructure as code and policy enforcement.
- Step 04
Harden
Resilience testing, backup and disaster recovery rehearsal.
- Step 05
Observe
Metrics, logs, traces and SLOs with meaningful alerting.
- Step 06
Operate
Managed run with cost governance and continuous optimisation.
Scope of services
What is included
- Cloud architecture and landing zone
- AWS, Azure and GCP implementation
- Kubernetes and container platform
- CI/CD and release engineering
- Monitoring, logging and SLOs
- Backup, disaster recovery and business continuity
- FinOps and cost governance
- Managed cloud operations
Deliverables
What you receive
- Reference architecture and IaC repositories
- Automated pipelines per environment
- Observability stack with dashboards and alerts
- Tested DR plan with RPO and RTO evidence
- Cost baseline and optimisation plan
Architecture overview
How it is built.
- 01
Multi-account or multi-subscription landing zone with policy guardrails.
- 02
Segmented networking with private connectivity to data services.
- 03
Immutable build artefacts promoted across environments.
- 04
Autoscaling workloads sized against measured demand.
- 05
Central observability with SLOs and error budgets per service.
Implementation process
Weeks 1–2
Assessment and target architecture.
Weeks 3–8
Landing zone, pipelines and first workloads migrated.
Ongoing
Managed operations, optimisation and quarterly resilience testing.
Security & compliance
- Policy-as-code guardrails preventing non-compliant resources
- Centralised identity, MFA and just-in-time privileged access
- Continuous vulnerability and configuration scanning
- Rehearsed recovery with documented RPO and RTO
Benefits & ROI
The numbers this practice moves.
0%
Typical cloud cost reduction in year one
0%
Availability target on managed platforms
Daily
Safe release cadence after automation
Capabilities in this practice
Industries served
Related technologies
Related AI solutions
Frequently asked questions
Only if workload shape and team maturity justify it. Managed container services are often the better answer, and we will say so.
Yes — managed cloud operations with an agreed SLA, on-call and quarterly optimisation reviews.
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Read the case studyDownloadable guide
Cloud & Infrastructure capability guide
A practical guide covering methodology, architecture patterns, deliverables and typical commercial models.
Not sure where this practice
fits your roadmap?
We start with a discovery workshop: current state, constraints, the highest-value first slice and what it costs to prove it.