What is multi-cloud with DevOpsArk?
Multi-cloud with DevOpsArk means running one operating model across AWS, Azure, Google Cloud and on-premises: a single inventory, delivery path, security baseline and cost model that does not change when the provider does.
What this solution addresses
- Each provider imposes its own console, vocabulary and process, so operations fork three ways.
- Skills do not transfer between teams because the tooling does not.
- Cost cannot be totalled because the reports are not comparable.
- Security baselines are written per provider and drift apart.
- Moving a workload between providers means rebuilding its operational surroundings.
Skills and runbooks transfer between environments.
Normalised billing makes provider comparison possible.
Moving a workload does not mean rebuilding its operational surroundings.
Stage by stage, with the modules that deliver each one
Every stage links to the modules that implement it, so the path from outcome to capability is explicit.
Normalise the inventory
Accounts, clusters, hosts and networks from every provider in one index with a common taxonomy.
One delivery path
The same pipeline and delivery model targets any provider, with per-target configuration and approvals.
One cost model
Billing normalised across providers so totals and comparisons are meaningful.
Everything involved in this solution
Kubernetes
Multi-cluster Kubernetes management
Cost Management
Cloud and Kubernetes cost attribution
Security
Posture, policy and continuous verification
Servers
Fleet inventory, patching and access
ArkCD
Continuous delivery and progressive rollout
Monitoring
Infrastructure and application monitoring
Multi-cloud: frequently asked questions
A multi-cloud DevOps platform provides one operating model (inventory, delivery, observability, security and cost) that works identically across more than one cloud provider, so operations do not fork per provider.
It depends on why you have it. Deliberate multi-cloud for resilience or negotiating position carries real cost. Accidental multi-cloud from acquisitions or team preference is common and usually needs consolidating operationally even where the workloads stay put. A shared operating model reduces the cost of both.
It normalises the operational surface (inventory, delivery, posture, cost) without hiding provider-specific capability. Managed services stay what they are; what becomes uniform is how you govern and observe them.
Yes. On-premises clusters and hosts appear in the same inventory as cloud resources, including environments that only allow outbound connectivity.
Yes. A single delivery definition can target clusters and services across providers, each with its own configuration, rollout strategy and approval requirements.
Background on this topic
Multi-cloud DevOps: making one operating model work across providers
Why organisations end up multi-cloud, what it genuinely costs, and how to build one operating model across providers without pretending they are identical.
Multi-cluster Kubernetes management: patterns that hold up
Why organisations end up with many Kubernetes clusters, what actually gets hard at that point, and the operational patterns that survive contact with a growing fleet.
Talk through multi-cloud for your estate
A 30-minute conversation with a platform engineer about what you have and what would actually change.