One connected DevOps platform

Your DevOps tools see pieces. DevOpsArk sees the whole.

Ten tools, ten consoles, ten half-answers. Each one is right about its own slice and none of them can tell you what actually happened. DevOpsArk connects the slices into one platform, so you get one environment, one alert, one incident and one question worth asking.

Short answer

What does a connected DevOps platform mean?

A connected DevOps platform keeps one model of the estate rather than one console per tool. Build, deploy, Kubernetes, cloud, on-premises, serverless, observability, security and cost all describe the same services, owners and changes, so an alert carries the change that caused it, an incident carries what it touches, and a question can be answered with evidence instead of a guess.

The problem

Every tool is right. Nobody has the answer.

Tool sprawl is not a tidiness problem. It is that the context needed to answer an operational question is split across systems that cannot see each other.

What you run today
CodeDeployAlertsKubernetesCloudSecurityInfrastructureLogsMetricsCosts
DevOpsArk
One connected platform
What comes back
One environmentOne alertOne incidentOne question
Nothing is thrown away. The tools stay where they are, and the context stops being trapped inside them.

The cost is paid in minutes at exactly the wrong time. An alert fires in one system, the deployment that caused it is recorded in a second, the configuration change sits in a third, and the person who owns the service is named in a fourth. The estate has the answer. No single tool holds enough of it to give you one.

What connected buys you

One environment. One alert. One incident. One question.

Four everyday moments where a shared model changes the work, rather than four feature names.

One environment

Connected context. Clusters, cloud accounts, servers, functions and the applications running on them form a single inventory with ownership attached. Not four consoles that each know a quarter of the answer.

One alert

Understand what changed. An alert arrives with the deployment, configuration change, scaling event or expiring certificate that preceded it, so the first question on the call is already answered.

One incident

Know where to look. The affected services, their dependencies and every recent change inside the blast radius are gathered in one place. The investigation starts from evidence rather than from ten browser tabs.

One question

Get the context behind the answer. Ask in plain language and get a conclusion together with the queries and sources behind it, so you can check the reasoning before you act on it.

Agentic DevOps

Observe. Understand. Decide. Act. Automate.

The loop only closes on a connected platform: an agent that can see one tool can only reason about one tool.

  1. 1
    Observe

    Read the live estate continuously: metrics, logs, traces, deployments, configuration, security posture and spend, across cloud, Kubernetes, on-premises and serverless.

  2. 2
    Understand

    Correlate those signals against the model of your estate, so a spike is tied to the change, the owner and the dependency that explain it rather than to a general list of causes.

  3. 3
    Decide

    Choose what evidence to gather next at run time instead of following a fixed script, and reach a conclusion with the execution trace that produced it.

  4. 4
    Act

    Propose a scoped plan, and carry it out once somebody with the right permissions approves. Every action is recorded and attributable.

  5. 5
    Automate

    Promote the paths you have watched long enough to trust into playbooks that run within declared bounds, and leave the rest under approval.

Agents propose, people approve. Autonomy is granted deliberately, one playbook and one scope at a time, and every conclusion arrives with the trace that produced it. An answer you cannot check is not usable for an operational decision, however good it is on average.
The position

Not another DevOps tool. A connected intelligence layer for your DevOps.

The tenth console does not help. The layer that makes the other nine agree on what happened does.

  • Read-only to begin with: connect clusters and cloud accounts, and inventory, monitoring and security posture appear without an agent on your workloads.
  • Every architecture: cloud, hybrid, on-premises, Kubernetes, virtual machines and serverless, rather than one runtime.
  • The whole lifecycle: build, deploy, operate, secure, and the cost of all of it in the same model.
  • Scoped write access when you are ready, one team and one namespace at a time, with every action recorded.

Teams do not adopt this by ripping anything out. They connect a couple of accounts, take one module further than the others, usually observability or vulnerability management, and expand once the behaviour is familiar. The point at which it stops feeling like another tool is the first question that crosses two of them and still has an answer.

FAQ

Questions people ask at the stand

From fragmented DevOps to agentic DevOps

Bring one cluster or one cloud account, and see what the connected view says about it. Half an hour, no installation on your workloads.