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
- Connected to Kubernetes prod-us-east
- Retrieved pod metrics 184 pods
- Found 3 unhealthy pods
- Analyzing application logs 12k lines
- Draft remediation plan
Every hyperscaler, your own data centre, and every architecture you run in them.
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.
Nobody can say exactly what is running
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.
Every incident starts with forty minutes of tab switching
The failing workload, the deployment that preceded it and the logs around the failure arrive already correlated, because they were never in separate systems.
Security findings arrive as a spreadsheet nobody owns
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.
The cloud bill grows and nobody can explain it
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.
Releases wait for the one person who understands the pipeline
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.
Every new tool becomes another integration project
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.
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.
Connect a cloud account, a cluster or a server fleet with scoped read-only credentials, and the estate becomes legible.
Metrics, logs, deployments and configuration correlated in the same view, so the first ten minutes go into diagnosis.
Plans carry an explicit scope and require approval. Nothing changes silently, and everything is reversible.
What is DevOpsArk?
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 productFour 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.
- 1Connect 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.
- 2One 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.
- 3Ark 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.
- 4You 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.
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.
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 estateThree people usually sit in the first call
They arrive with different questions and leave with the same inventory, which is most of the point.
Shorter incidents, fewer hero engineers
Investigation starts from correlated data rather than from memory, so the person on call does not have to be the person who built the service.
Findings with an owner and a deadline
Posture, vulnerabilities, secrets and access are assessed against the same inventory engineering works from, so remediation is routed rather than announced.
An estate you can answer questions about
Delivery frequency, reliability and spend come from one source, which makes the quarterly conversation about evidence rather than about which export to believe.
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.
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.
Infrastructure and application monitoring
Alerts that are worth waking up for
Metrics, logs and traces in one plane
Centralised logs with structure and retention
Backups with restores that are actually tested
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.
Start from the outcome, not the module list
If you know the problem but not which modules address it, start here.
DevOps automation
Automate the path from commit to running software
Kubernetes management
Operate every cluster from one plane
Cloud management
Govern cloud infrastructure without three consoles
Observability
From symptom to cause without switching tools
Security and DevSecOps
Find, prioritise and close exposure continuously
AI DevOps
Agents that explain their reasoning
Platform engineering
Build the golden path, not forty bespoke ones
Multi-cloud
One operating model across providers
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.
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.
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
DevOpsArk Everything
Every suite and every module, with the quotas lifted on an annual term.
Per user, per month
- All 29 modules across all five suites
- Every quota lifted when billed annually
- Unlimited clusters, cloud accounts and connected environments
Written by people who run this in production
SSL certificate management: preventing the outage nobody planned for
Why certificate expiry still causes outages, how to find the certificates nobody documented, and how to automate renewal so the problem stops recurring.
Kubernetes troubleshooting: a decision tree that works
The common Kubernetes failures, what each one actually means, and the order of checks that reaches the cause fastest.
Multi-cloud DevOps: making one operating model work across providers
Why organisations end up multi-cloud, what it genuinely costs, and how to build one operating model across providers without pretending they are identical.
Where to find us next
6th DevOps Confex & Awards 2026
A one-day DevOps conference and awards evening in New Delhi, organised by Gain Skills Business Media. The DevOpsArk team will be there for the day.
Hands-on workshop: finding the money in your Kubernetes clusters
Three hours, hands-on, on a real cluster: attribute spend to namespaces, right-size from observed usage without causing OOMKills, and find the resources nobody owns.
Frequently asked questions
The questions people ask before they book a demo.
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 is licensed per user, per month. There is a free tier with a small allowance on every suite, paid suites start at $20 per user per month, and DevOpsArk Everything is $295 per user per month, so the bill follows the size of your team rather than the number of nodes, accounts or gigabytes you run.
Yes, and it does not expire. Every suite is present with a small allowance: 3 build pipelines, 3 deployed services, 1 GB of monitoring storage, 3 cloud accounts under management and 3 accounts or repositories scanned. The AI features work on it too, once you connect your own model.
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.
It removes the gap between the tools that build software and the tools that run it. When inventory, delivery, telemetry, security findings and cost all read from one model, questions that used to need three consoles and two people become a single query: which commit produced this container, which deployment caused this alert, what does this team actually cost.
No. Kubernetes is one of the things DevOpsArk manages, not the boundary of what it manages. Virtual machines and bare metal servers, container platforms, serverless functions, managed cloud services and on-premises estates are first-class alongside it, and they share the same inventory, delivery, monitoring, scanning and cost model.
DevOpsArk builds and containerises applications, delivers them to Kubernetes clusters and servers with progressive rollout and automatic rollback, monitors the resulting estate, secures it continuously, and attributes its cost, all from one shared inventory rather than from separate tools.
DevOpsArk provides 29 modules across six categories. Build covers ArkBuilder, containerization and pipelines. Deploy covers ArkApps, ArkCD, Kubernetes, agentless Kubernetes, DMK8S and release management. Operate covers monitoring, alerting, observability, log management, backups and cost management. Secure covers security, scanners, vulnerability management, secrets, IAM and SSL management. Infrastructure covers servers, DNS, CaaS and FaaS. AI covers ArkChat, AI log analysis, anomaly detection and 360 DITE.
Connecting an environment takes minutes: a read role on a cloud account, or a scoped ServiceAccount on a cluster, and the inventory appears. Most teams have monitoring, security posture and cost attribution running on their first afternoon, because read-only access is enough for all three. Delivery and remediation are enabled later, when you want them.
Yes. Kubernetes is central to the platform. DevOpsArk manages Amazon EKS, Azure AKS, Google GKE, OpenShift, Rancher-managed and self-managed clusters through the Kubernetes API, without requiring an in-cluster agent.
Yes. All three are supported as first-class providers, with clusters, hosts, identity, DNS and billing data normalised into one inventory so the estate can be operated with a single model rather than three consoles.
A toolchain gives you the strongest individual tool per stage and hands you the integration work. DevOpsArk gives you one data model across stages, which turns cross-stage questions into single queries: which commit produced this container, which deployment caused this alert. In at least one category a specialist tool will be stronger, and DevOpsArk can read from several of them rather than replacing them.
No. Clusters connect through the Kubernetes API, clouds through a scoped read role, servers through a scoped credential, all of them revocable from your side. Read-only access is enough for inventory, monitoring, cost attribution and security posture. Optional components exist where higher-frequency sampling is wanted.
Ark is the DevOpsArk agent layer. Ark agents read your live environment, correlate metrics, logs, deployments and configuration, and present their conclusions as an execution trace you can verify. They propose actions as scoped plans requiring approval rather than acting on their own.
Platform engineering teams, SREs, security engineers and engineering leaders operating cloud, on-premises and hybrid infrastructure at a scale where one console per provider and one tool per problem has stopped working.
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.