One control plane for everything you run
DevOpsArk puts build, delivery, Kubernetes, infrastructure, observability, security and cost on one shared inventory, so the answers reconcile, and an agent can reason across all of it.
What is the DevOpsArk platform?
DevOpsArk is an agentic DevOps platform that helps engineering teams automate application delivery, Kubernetes management, infrastructure operations, observability, security and cloud workflows from a single control plane.
Tooling that cannot answer a question about itself
Most estates can tell you a great deal about each stage in isolation and almost nothing about the relationships between them.
- A running container cannot be traced back to a commit without opening three systems.
- An alert fires and nobody can tell whether a deployment preceded it.
- A vulnerability is announced and identifying affected services takes a week.
- The cloud bill arrives as a total that decomposes to nothing actionable.
- Each cloud provider console gives a different partial answer about the same estate.
Each tool maintains its own model of what a service is. The CI system knows repositories, the registry knows images, the cluster knows workloads, the monitoring stack knows label sets and the billing export knows resource identifiers. Nothing joins them, so every cross-stage question becomes a manual reconciliation.
DevOpsArk starts from one inventory derived from live infrastructure, and every module reads and writes to it. The joins exist because there is only one model.
How the platform is organised
Build, deploy, operate and secure, with infrastructure underneath and an agent layer across all of it.
What the platform includes
Build
Turn source into a scanned, standards-compliant artifact.
Deploy
Move that artifact into every environment, safely and reversibly.
Operate
Know what the estate is doing, and what it costs.
Monitoring
Infrastructure and application monitoring
Alerting
Alerts that are worth waking up for
Observability
Metrics, logs and traces in one plane
Log Management
Centralised logs with structure and retention
Backups
Backups with restores that are actually tested
Cost Management
Cloud and Kubernetes cost attribution
Secure
Find, prioritise and close exposure continuously.
Infrastructure
The hosts, networks and runtimes underneath it all.
AI
Ark agents that analyse, explain and propose action.
How teams actually roll this out
Nobody adopts a platform all at once, and a vendor that suggests otherwise has not done it.
- 1Connect read-only
Attach clusters and cloud accounts with read-only credentials. Inventory, monitoring and security posture appear within minutes because no agent is installed.
- 2Establish ownership
Map services to teams. This is the slow part, and it is organisational rather than technical.
- 3Take one module further
Usually observability or vulnerability management, because both deliver value without write access.
- 4Grant scoped write access
Add delivery or remediation for one team and one namespace first, and expand once the behaviour is familiar.
- 5Promote policy to enforcement
Run security and delivery rules in report mode, clean the estate, then enforce so the rule prevents regression.
- 6Extend across the estate
Additional modules are configuration rather than integration, because the inventory already exists.
The rest of the platform story
Agentic DevOps
What Ark agents do, how their reasoning is verified, and what they will not do.
Architecture
How DevOpsArk connects to clusters, clouds and repositories, and what it reads.
Security at DevOpsArk
How the platform itself is secured, and what access it needs.
Integrations
13 integrations across clouds, clusters, source control, CI and observability.
Compare
DevOpsArk against toolchains, point tools, managed Kubernetes and building it yourself.
Pricing
What it costs, what is included, and what is not.
Platform questions
DevOpsArk is an agentic DevOps platform that helps engineering teams automate application delivery, Kubernetes management, infrastructure operations, observability, security and cloud workflows from a single control plane.
It is one platform with 29 modules on a shared inventory. Modules are adopted individually (most teams start with cluster inventory and observability), and each additional module is a configuration change rather than an integration project, because they all read the same data.
Through standard interfaces: the Kubernetes API for clusters, cloud provider APIs for accounts and billing, Git provider APIs for repositories, and OpenTelemetry for telemetry. Nothing is installed inside your clusters by default.
No. It reads operational telemetry: inventory, metrics, events, logs you route to it, deployment history and configuration. Application data in your databases and persistent volumes is not read.
Yes, and it is the normal path. Read-only cluster and cloud connection gives inventory, monitoring, cost and security posture within minutes. Delivery, remediation and enforcement are separate decisions taken later, each requiring explicitly granted write scope.
Not necessarily. It reads from existing Prometheus, Loki, Argo CD, GitHub Actions and GitLab CI installations. The value comes from the shared inventory underneath rather than from replacing what already works.
Your clusters, images, manifests and cloud resources are standard and remain yours. Generated container definitions are committed to your repositories, DMK8S clusters run in your own cloud account, and telemetry is emitted in open formats. Management reverts to you.
The control plane is hosted, and managed clusters are provisioned into your own cloud account. For environments that cannot accept inbound connections, clusters connect through an outbound-only relay.
See it against your own estate
Connect a cluster read-only during the call and look at your own inventory rather than a demo environment.