DevOpsArk for enterprise
Many teams, many clouds, decades of accumulated infrastructure
How does DevOpsArk support enterprise?
DevOpsArk supports large enterprises operating infrastructure accumulated over decades across multiple clouds, data centres, acquired estates and dozens of teams that work independently.
What makes enterprise different
Nobody has the full picture
The estate spans clouds, data centres and acquisitions. There is no single inventory, and every attempt to build one by hand is out of date before it is finished.
Standards that only reach the willing
A platform standard is adopted by the teams that engage with the platform team and quietly ignored elsewhere, with no measurement of which is which.
Acquisitions arrive with their own everything
A different cloud, a different CI system, different conventions and a security posture nobody has assessed.
Legacy that cannot be rewritten
Systems that predate containers still run critical processes and still need patching, monitoring and access control.
Audit as a recurring project
Evidence is assembled by hand for each audit, each time, because nothing records control status continuously.
Frameworks that shape the work
DevOpsArk produces technical evidence for several controls in these frameworks: change management, access control, vulnerability management and continuous configuration checking. It supports an assessment; it does not replace one, and administrative and physical controls remain yours.
A typical estate in this sector
The workflow this implies
- 1Discover everything
Cloud accounts, clusters and hosts are enumerated, including the ones nobody listed.
- 2Assign ownership
Resources are mapped to teams; orphans are surfaced rather than absorbed.
- 3Apply one baseline
A single policy set is evaluated against every provider and environment.
- 4Measure adoption
Scorecards show which teams meet the standard and which do not.
- 5Evidence continuously
Control status accumulates so audits become exports.
What DevOpsArk changes for enterprise teams
One inventory across everything
Cloud accounts, clusters, hosts and their owners in a single continuously derived index, including acquired estates and on-premises infrastructure.
Onboard an acquisition quickly
Agentless connection means a new estate is visible within a day, so security posture and cost are assessed before integration decisions are made.
Standards you can measure
Scorecards turn "teams should do this" into a per-service number, which is what makes adoption a manageable programme.
Legacy on the same terms
Servers running decades-old software are inventoried, patched in verified waves and accessed through a brokered, recorded path.
Audit as an export
Control status recorded continuously, so evidence for a period is produced rather than assembled.
The modules that matter most here
ArkApps
Application inventory and lifecycle
Kubernetes
Multi-cluster Kubernetes management
Servers
Fleet inventory, patching and access
Security
Posture, policy and continuous verification
Cost Management
Cloud and Kubernetes cost attribution
IAM
Access, roles and approvals
Enterprise: frequently asked questions
Connection is agentless, so a cloud account or cluster is inventoried within minutes of credentials being provided. The slow part is organisational (deciding who owns what), not technical.
Yes. Data centre clusters, virtual machines and bare-metal hosts appear in the same inventory as cloud resources, including environments that only permit outbound connectivity.
Connect their cloud accounts and clusters read-only first. That produces an inventory, a security posture assessment and a cost picture within days, which is what integration planning actually needs.
Measure adoption per service with scorecards, make the standard the easiest path rather than a mandate, and target platform investment at whatever is blocking the largest group. Mandates without measurement produce compliance theatre.
No. DevOpsArk reads from existing Prometheus, Loki, Argo CD, GitHub Actions and GitLab CI installations. The value comes from the shared inventory underneath, which is why adoption is usually incremental.
Talk to someone who knows enterprise
A conversation with a platform engineer about your constraints, not a generic product walkthrough.