Solutions

Start from the outcome

Eight solutions, each described stage by stage with the modules that deliver it. Use these if you know the problem but not which parts of the platform address it.

Short answer

What are DevOpsArk solutions?

Eight DevOpsArk solutions grouped by outcome: automation, Kubernetes, cloud management, observability, security, AI DevOps and platform engineering.

By outcome

What are you trying to change?

DevOps automation

DevOps automation is the practice of removing manual steps from the path between a code change and running, observed, secured software, and DevOpsArk provides that path as one platform rather than as a toolchain each team assembles.

Kubernetes management

Kubernetes management with DevOpsArk means operating every cluster you run (across providers, regions and environments) from a single inventory, with one delivery path, one security baseline and one cost model.

Cloud management

Cloud management with DevOpsArk means governing infrastructure across AWS, Azure and Google Cloud from one inventory: configuration baseline, access, cost and security posture measured the same way regardless of provider.

Observability

Observability with DevOpsArk means metrics, logs and traces attached to one service model, so an engineer can follow a symptom to its cause across services, clusters and clouds without changing tools or losing context.

Security and DevSecOps

DevSecOps with DevOpsArk means security verification built into the delivery path rather than bolted on afterwards: scanning at build, policy at admission, continuous posture at runtime, and findings that reach the engineers who can resolve them.

AI DevOps

AI DevOps with DevOpsArk means Ark agents that read your live environment, correlate signals across metrics, logs, deployments and configuration, explain their reasoning as a visible execution trace, and take action only with explicit approval.

Platform engineering

Platform engineering with DevOpsArk means giving product teams a paved path: self-service clusters and environments, shared delivery templates, a service catalogue derived from live infrastructure, and standards that are measured rather than documented.

Multi-cloud

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.

FAQ

Questions about solutions

Not sure which one fits?

Describe what is painful today and we will tell you which solution applies, including when the honest answer is that you do not need us yet.