Ark agents are live

One platform for everything you ship, everywhere it runs

The agentic DevOps platform. Build. Deploy. Secure. Scale

Your team loses hours to switching consoles, chasing logs and guessing which change broke production. DevOpsArk builds, deploys, scans, monitors and alerts on the whole estate from one live inventory: any cloud, your own data centre, Kubernetes, containers, virtual machines and serverless alike.

Free tier, then from $20 per user per month. Licensed per user, not per node or per account. No agent to install, no card to start.

AWS · Azure · Google Cloud · On-premises · Kubernetes · Containers · Virtual machines · Bare metal · Serverless · Terraform · OpenTelemetry

DEVOPSARKprod-us-east
CPU
38%
Memory
62%
Ark is analyzing your environment
  • Connected to Kubernetes prod-us-east
  • Retrieved pod metrics 184 pods
  • Found 3 unhealthy pods
  • Analyzing application logs 12k lines
  • Draft remediation plan
api-gateway pods are OOMKilled at the 1Gi limit. Raise to 1.5Gi and restart 3 pods.
Runs on whatever you already have

Every hyperscaler, your own data centre, and every architecture you run in them.

Covers the whole lifecycle

One platform from the commit to the page at 3am, rather than one vendor per stage.

The problem

If any of this describes your week, this is what it is for

None of these are tooling problems on their own. They are all the same problem: the systems that build your software and the systems that run it do not share a model of what exists.

Today

Nobody can say exactly what is running

With DevOpsArk

One inventory read live from every cloud account, cluster, server and function. Finding a workload, its owner and its cost takes a search box instead of a meeting.

Today

Every incident starts with forty minutes of tab switching

With DevOpsArk

The failing workload, the deployment that preceded it and the logs around the failure arrive already correlated, because they were never in separate systems.

Today

Security findings arrive as a spreadsheet nobody owns

With DevOpsArk

Each vulnerability is tied to the image that carries it, the workloads running that image and the team that owns them, so remediation has an address.

Today

The cloud bill grows and nobody can explain it

With DevOpsArk

Spend is attributed down to cluster, namespace and team from the same inventory, which makes the conversation about a specific workload rather than about a total.

Today

Releases wait for the one person who understands the pipeline

With DevOpsArk

Build, rollout and rollback are described once and run by anyone on the team, with progressive delivery and automatic rollback as the default rather than the upgrade.

Today

Every new tool becomes another integration project

With DevOpsArk

One platform covers build, deploy, scan, monitor and alert on the same inventory, so adding a capability is a configuration change rather than a quarter of plumbing.

Outcomes

What changes for the people who carry the pager

The measure of a platform is not how many features it lists. It is whether the next incident is shorter than the last one and whether anyone on the team can handle it.

Minutes
from credential to full inventory

Connect a cloud account, a cluster or a server fleet with scoped read-only credentials, and the estate becomes legible.

One
place an incident is investigated from

Metrics, logs, deployments and configuration correlated in the same view, so the first ten minutes go into diagnosis.

Every
agent action logged and attributed

Plans carry an explicit scope and require approval. Nothing changes silently, and everything is reversible.

Definition

What is DevOpsArk?

Short answer

What is DevOpsArk?

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.

DevOpsArk exists because the alternative (a different console for each cloud, a different tool for each stage and a different idea of what a service is in each one) stops working somewhere around the point where no single person can hold the estate in their head.

Everything on the platform reads from one inventory derived from live infrastructure. That is what makes questions that span stages answerable: which commit produced this running container, which deployment caused this alert, what does this team actually cost.

About DevOpsArk as a product
How it works

Four steps, and none of them are a migration

You do not move your infrastructure, rewrite your manifests or install an agent. DevOpsArk reads what is already there and builds the model on top of it.

  1. 1
    Connect read-only, in minutes

    A read role per cloud account, a scoped ServiceAccount per cluster, a scoped credential per server fleet. Nothing in your data path, and credentials you can revoke from your side at any time. On-premises estates connect the same way.

  2. 2
    One inventory, kept live

    Cloud accounts, clusters, servers, containers, functions, images, pipelines, identities, DNS records, findings and spend are normalised into a single model, derived from the running estate rather than maintained by hand.

  3. 3
    Ark investigates and shows its working

    Agents correlate metrics, logs and recent changes across that model, then present the execution trace they followed. You can check each step, which is the difference between an answer and a plausible guess.

  4. 4
    You approve the plan, or it stays a plan

    Remediation is proposed with an explicit scope and blast radius. Approve it, or let vetted playbooks run inside bounds you declared. Every action is logged, attributed and reversible.

Platform architecture

Build, deploy, operate and secure, with an agent layer across all of it

The same conceptual model runs through the product, the navigation and the documentation, because a platform you cannot describe is a platform nobody adopts.

Agentic AI
ArkChatAI log analysisAnomaly detection360 DITE
Build
ArkBuilderContainerizationPipelines
Deploy
ArkCDKubernetesRelease managementArkApps
Operate
MonitoringAlertingObservabilityCost management
Secure
SecurityScannersVulnerability managementIAMSecrets
Infrastructure
ServersDNSSSLCaaSFaaS
The DevOpsArk platform model. Every node on this diagram has a dedicated page.

Why the agent layer sits on top

Ark agents are not a separate product bolted to the side. They read the same inventory the rest of the platform writes to, which is what lets an analysis of a failing workload reference the cluster, the last deployment and the log stream in one step.

It is also why the agent can be grounded. A general model knows a great deal about Kubernetes and nothing about your estate. Answering from your own data is the difference between a plausible list of causes and an answer.

How DevOpsArk connects to your estate
Modules

29 modules, each with its own page

Pick the ones that solve a problem you have today. They share one inventory, so adding a second is a configuration change rather than an integration project.

Pricing

Start free, then from $20 per user per month

Licensed per user. Not per node, not per cloud account, not per gigabyte. The bill follows the size of your team, which is a number you already know.

Free

Every suite, with small allowances and no expiry date.

$0

No card, no expiry

  • Build: 3 build pipelines
  • Deploy: 3 services
  • Monitoring: 1 GB stored
  • Infra: 3 cloud accounts
  • Security: 3 accounts or repos

Suites

Buy only what you need. They combine freely and share one inventory.

From $20

Per user, per month

  • Build Suite, 20 build pipelines, unlimited executions $20
  • Deploy Suite, 20 services $20
  • Monitoring Suite, 100 GB retained $85
  • Infra Suite, 5 cloud accounts $85
  • Security Suite, 20 repos or accounts $85
Most common

DevOpsArk Everything

Every suite and every module, with the quotas lifted on an annual term.

$295

Per user, per month

  • All 29 modules across all five suites
  • Every quota lifted when billed annually
  • Unlimited clusters, cloud accounts and connected environments
AI is on every plan, and the model is yours. Ark, ArkChat, AI log analysis and anomaly detection are enabled on every plan, including a single suite. The model is not included: you connect your own provider account or a model you host yourself, and pay that provider for inference directly. Nothing about your infrastructure is sent to a model you did not choose, and we do not resell tokens at a markup.
For additional suites or better pricing, reach out. Volume terms, annual and multi-year commitments, bundled suites, read-only seats and non-profit or education use all move the number. Tell us your team size and we will send a figure.
FAQ

Frequently asked questions

The questions people ask before they book a demo.

Put an agent on the pager with you

A 30-minute walkthrough with a platform engineer, not a sales deck. Bring an environment and a problem, and leave with the inventory connected.