We help enterprises pick the right cloud, migrate without surprises, and run it efficiently — across AWS, Azure, GCP, and hybrid estates.
From first cloud strategy to mature multi-account operations, we cover the full lifecycle: assessment, landing zone design, migration waves, modernisation, FinOps, and 24/7 managed services.
Infrastructure as code from day one — Terraform, CloudFormation, Pulumi. Every environment reproducible. Every change reviewed. Every cost tagged and reported back to the team that incurred it.
Capabilities
What we deliver on the cloud.
- Cloud strategy & landing-zone design
- Migration waves — rehost, replatform, refactor
- Cloud-native modernisation — containers, serverless
- FinOps — cost visibility, rightsizing, savings plans
- Managed cloud operations — 24/7 monitoring
- Security & compliance — IAM, encryption, audit
Outcomes
What enterprises gain.
- Reproducible environments via IaC
- 20–40% typical cloud bill reduction after FinOps
- Zero-downtime migration patterns
- Multi-account governance from day one
- Disaster recovery built in, not bolted on
- Audit-ready compliance evidence
Engineers who hold AWS, Azure, and GCP certifications and have shipped real production workloads — not slideware. We sit on your account and own the outcome.
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
We are provider-agnostic. Recommendations are driven by your workload requirements and existing contracts — not vendor preference.
The 6 Rs — how we move workloads
Not every application belongs in the cloud in the same way. Before we plan a migration wave we classify each workload against the 6 Rs, then apply the most cost-effective path. The mix varies by organisation; a typical enterprise portfolio spans three or four of these motions.
Rehost
"Lift and shift" — move the VM or container image as-is. Fastest time-to-cloud. Suits commodity workloads where the priority is speed and cost reduction from on-prem exit.
Replatform
Minor optimisations — swap the database engine for a managed service, move to PaaS. Achieves operational savings without a code rewrite. Common for mid-tier web apps.
Refactor / Re-architect
Break up monoliths, adopt containers or serverless, redesign for cloud-native scalability. Highest effort, highest long-term return. Reserved for business-critical systems.
Repurchase
Replace an in-house system with a SaaS product (e.g., move from a custom CRM to Salesforce). Trades engineering effort for a managed solution and faster feature velocity.
Retire
Decommission applications that are no longer used or that can be consolidated. Reduces migration scope and cuts ongoing licensing costs — often 10–20% of a typical portfolio.
Retain
Keep on-premises for now — regulatory constraints, latency requirements, or insufficient ROI. Revisited each migration wave as the cloud estate matures.
How we apply this: We run a structured discovery sprint (typically two to three weeks) to inventory and classify every application in scope. The output is a wave plan with R-classification, effort estimate, and cutover risk rating for each workload — ready to hand to your leadership team for prioritisation.
What you receive at each phase
Foundation & Migration
- Cloud Readiness Report — assessed-estate inventory, risk register, cost baseline, and recommended provider mix.
- Landing Zone blueprint — multi-account/subscription structure, VPC/VNET design, IAM role hierarchy, and tagging policy in Terraform.
- Application discovery register — full inventory with dependency map, R-classification, and effort score for each workload.
- Wave migration runbook — step-by-step cutover procedure, rollback playbook, and communication plan per wave.
- Pre- and post-migration test evidence — smoke-test scripts, performance baseline comparisons, sign-off checklist.
Optimisation & Operations
- FinOps cost baseline report — 30-day spend analysis tagged by team, service, and environment, with anomaly thresholds configured.
- Rightsizing & savings recommendations — Reserved Instance or Savings Plan proposals with projected 12-month savings range.
- Disaster recovery runbook — RTO/RPO targets, backup schedules, failover procedures, and quarterly test calendar.
- Security & compliance evidence pack — IAM audit trail, encryption status report, and audit-ready compliance artefacts (SOC 2, ISO 27001 aligned).
- Steady-state operations handbook — monitoring alert definitions, on-call escalation matrix, patch cadence, and capacity review schedule.
Cloud spend is an engineering problem — we treat it like one
Most cloud waste appears within the first six months after a migration — over-provisioned instances, forgotten test environments, untagged resources with no owner. Our FinOps practice embeds cost visibility from landing-zone day one: every resource tagged, every team accountable, every anomaly alerted within 24 hours. Typical outcomes for mature engagements target a 20–40% reduction in the monthly cloud bill.
Every resource tagged to team, environment, and cost centre from provisioning day one.
Budget alerts and spend-spike notifications routed to Slack or Teams within hours.
Monthly rightsizing reviews with Reserved Instance and Savings Plan proposals.
Cost-per-transaction, cost-per-user, and cost-per-feature dashboards for product teams.
How we work together
Fixed-scope project
Defined deliverables, timeline, and price. Works well for landing-zone builds, single migration waves, or a FinOps baseline sprint. You know what you get before signing.
Time & materials
Flexible resourcing for complex migrations where scope evolves. Monthly billing against agreed rate cards. Suitable for multi-wave programmes running six months or longer.
Managed cloud retainer
Ongoing 24/7 operations, FinOps, security, and change management. Monthly retainer covering a defined scope of cloud accounts with a committed SLA.
Embedded team extension
ArtAgile cloud engineers work inside your product squads, owning infra chapters alongside your existing developers. Ideal when you want skills transfer alongside delivery.
Common questions
Questions we hear most often from enterprise teams at the start of a cloud programme — answered plainly.
- We use a "run-parallel, cut-over, verify" pattern for live workloads. Source and target environments run simultaneously for a validation period — typically 48 to 72 hours for stateful applications. Cutover happens in a maintenance window using DNS or load-balancer flips, and automated smoke tests confirm the new environment before the old one is decommissioned. For zero-tolerance workloads we design active-active topologies that allow incremental traffic shifting with instant rollback.
- The three most common risks are hidden dependencies discovered late, data consistency during the cut-over window, and performance regressions from misconfigured networking or instance sizing. We address these in discovery: dependency mapping surfaces cross-service links before any workload moves; CDC (change data capture) tooling keeps data in sync during parallel runs; and we replay production traffic patterns in the target environment to validate latency before go-live. Every risk is logged in a project risk register with likelihood, impact, and a named owner.
- Yes. Our engineers hold certifications across AWS, Azure, and GCP. For multi-cloud estates we deploy a unified observability layer — typically Datadog or Grafana Cloud — so you have a single pane of glass across providers. IaC uses Terraform across all three to keep provisioning patterns consistent. We are pragmatic about multi-cloud: we will tell you honestly when running workloads across two providers adds cost and complexity without sufficient redundancy benefit, and when it genuinely makes sense.
- Quick wins from rightsizing and deleting idle resources typically materialise within the first 30 days. Reserved Instance and Savings Plan commitments, which require 12-month forecasting confidence, usually land in the second month. For a mature programme running 90 days or more, teams targeting 20–40% cloud-bill reduction is a realistic range — though actual savings depend heavily on how well-optimised the estate was before we started. We set a cost baseline on day one and track against it transparently at every monthly review.
- Yes. Many enterprise programmes run a permanent hybrid estate — sensitive data or latency-critical processing stays on-prem, while burst capacity, analytics, and SaaS integrations live in the cloud. We design the connectivity layer (Direct Connect, ExpressRoute, or Cloud Interconnect depending on provider), manage the DNS and identity federation, and ensure security policies are consistent across both environments. The landing zone blueprint we deliver covers hybrid topology as a first-class concern.
Pick a sub-service to see capabilities, approach, and deliverables in depth.
Talk to us about Cloud Services
Tell us about your environment and the outcome that matters most. We will reply with a scoped path forward — usually inside one business day.