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DuploCloud

DevOps · duplocloud.com

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Overview

DuploCloud is an AI-powered DevOps automation platform that deploys a control plane inside a customer's own AWS, Azure, or GCP account and layers a no-code/low-code interface, AI agents, and built-in guardrails on top of Kubernetes, CI/CD, and cloud infrastructure. It resolves DevOps tickets, provisions and manages cloud resources, and continuously enforces security and compliance controls (SOC 2, ISO 27001, HIPAA, PCI-DSS, FedRAMP) without requiring teams to hand-write Terraform or Kubernetes YAML. The platform is aimed at engineering teams that want self-service infrastructure without hiring a large dedicated DevOps/SRE staff.

The problem DuploCloud solves

Engineering teams adopting Kubernetes and multi-cloud infrastructure often need dedicated DevOps/SRE headcount to hand-write Terraform, manage compliance evidence, and staff on-call rotations — overhead that's disproportionate for teams without a large platform engineering org. DuploCloud addresses this by deploying a managed control plane directly inside the customer's own cloud account and exposing infrastructure, Kubernetes, CI/CD, and compliance controls through a no-code/low-code interface backed by AI agents, so developers can self-serve provisioning and ticket resolution without writing raw IaC or YAML.

Decision context

Use these points to test whether the product fits your operation, not just whether it has a long feature list.

  • Published starting price: $3,500 per month. Confirm user, usage, and feature limits for the plan you would actually buy.
  • Deployment: cloud, on_premise. Check security, data-residency, and access requirements for every team that will use it.
  • Verified integrations include AWS, Microsoft Azure, Google Cloud Platform, Kubernetes (EKS/AKS/GKE), Terraform, GitHub. Validate sync direction and plan limits for the connections that matter.
  • A last-checked date is not recorded; confirm current details directly with the vendor.

How to evaluate DuploCloud

A listing helps create a shortlist; a trial with the team’s real workflow decides whether the tool fits. Use this reading with the structured facts and confirm changes with the vendor.

Workflow fit

The record describes it as a fit for Mid-market to enterprise engineering teams that want Kubernetes, CI/CD, and cloud provisioning self-service without growing a large dedicated DevOps/SRE function, Regulated or compliance-driven companies (SOC 2, HIPAA, PCI-DSS, FedRAMP) that want infrastructure guardrails and audit evidence built into the provisioning workflow, Organizations already committed to AWS, Azure, or GCP that want a unified control plane across cloud, Kubernetes, and observability. Check that this context matches the volume, roles, and processes your team needs it to support.

Pilot questions

  • Can DuploCloud complete the critical workflow without manual work outside the product?
  • Do the recorded connections (AWS, Microsoft Azure, Google Cloud Platform, Kubernetes (EKS/AKS/GKE)) support the sync direction, permissions, and volume we need?
  • What user, usage, storage, support, or security limits appear after the headline starting price?

Evidence and freshness

This record does not have a recorded check date. Confirm pricing, features, security, and support directly before buying.

Best for

  • Mid-market to enterprise engineering teams that want Kubernetes, CI/CD, and cloud provisioning self-service without growing a large dedicated DevOps/SRE function
  • Regulated or compliance-driven companies (SOC 2, HIPAA, PCI-DSS, FedRAMP) that want infrastructure guardrails and audit evidence built into the provisioning workflow
  • Organizations already committed to AWS, Azure, or GCP that want a unified control plane across cloud, Kubernetes, and observability

Not a fit if

  • Small teams or early-stage startups sensitive to price — plans start at $3,500/month with multi-thousand-dollar add-ons
  • Teams that want a lightweight, single-purpose tool (e.g., just CI/CD or just monitoring) rather than a broad infrastructure-management platform

Why it’s listed

  • Named DevOps automation platform with a live pricing page, published tiers, and an independently verifiable security/compliance program (SOC 2 Type II, ISO/IEC 42001)
  • Carries real third-party review signal (40 reviews, 4.6/5 on G2) plus a TrustRadius listing
  • Distinct positioning within DevOps: deploys its control plane inside the customer's own cloud account rather than operating as a typical multi-tenant SaaS

Pricing

Core

$3,500 per month

Entry tier with pre-built agents for Kubernetes, CI/CD, and observability across AWS/GCP/Azure, plus core security controls.

  • Pre-built agents (K8s, CI/CD, Observability, AWS/GCP/Azure)
  • Built-in roles, JIT access, tagging, encryption, audit trail
  • 24x7 Slack/Teams support
  • Browser and Slack interface
  • Up to 200 AI tickets/month
  • 25 managed compute nodes

Advanced

$5,000 per month

Adds security/compliance agents, custom RBAC roles, and broader compliance coverage on top of Core.

  • Everything in Core
  • Up to 5 custom RBAC roles with AV, HIDS, NIDS, CIS, patching
  • SOC 2, ISO, GDPR, CCPA, HIPAA compliance coverage
  • IDE interface
  • Up to 300 AI tickets/month
  • 50 managed compute nodes

Scale

$7,000 per month

Top published tier adding bring-your-own-agents, unlimited RBAC roles, and extended regulated-industry compliance.

  • Everything in Advanced
  • Bring Your Own Agents capability
  • Unlimited RBAC roles with SIEM integration
  • PCI, HITRUST, NIST, ITAR compliance coverage
  • IDE and Teams interfaces
  • Up to 500 AI tickets/month
  • Custom managed compute nodes

Features

AI featuresCore product is AI-agent-driven: pre-built agents handle Kubernetes, CI/CD, observability, and ticket resolution, with an AI-tickets/month quota built into every pricing tier.
Alerting & on-callAlerting is part of the built-in observability stack and it integrates with PagerDuty, but dedicated on-call scheduling itself is not a native feature.
Application performance monitoring (APM)Ships metrics/tracing via its observability stack and integrates with dedicated APM tools (Datadog, New Relic, Sentry) rather than positioning itself as a standalone APM.
CI/CD pipelinesNative CI/CD covering build, deploy, DAST, and SAST, plus a published GitHub Actions integration.
Distributed tracingObservability suite explicitly includes tracing, built on OpenTelemetry with Grafana for visualization.
Incident managementAI agents resolve tickets and troubleshoot infrastructure issues, but there's no evidence of a full incident-management workflow (postmortems, status pages).
Infrastructure monitoringCore to the platform: monitors and manages 50+ cloud services (Kubernetes, databases, Kafka, Elasticsearch, VMs, etc.) across AWS/Azure/GCP.
Log managementLogging is a named pillar of the built-in observability stack.
Public APIFull REST API with temporary and permanent API tokens; every UI action can be automated via the API.
Self-hosting / on-premControl plane deploys inside the customer's own cloud account, and DuploCloud also offers a dedicated On-Premises deployment option for private-cloud customers.

Integrations

AWSMicrosoft AzureGoogle Cloud PlatformKubernetes (EKS/AKS/GKE)TerraformGitHubGitHub ActionsGitLabBitbucketSlackMicrosoft TeamsPagerDutyJiraDatadogGrafana

Security & compliance

SOC 2 Type IIISO/IEC 42001

Pros & cons

Pros

  • No-code/low-code UI paired with a real Terraform provider underneath, so teams get self-service without fully losing IaC control
  • Deep built-in security and compliance automation (SOC 2, ISO 27001, HIPAA, PCI-DSS, FedRAMP readiness) with audit trails baked into provisioning
  • Own SOC 2 Type II and ISO/IEC 42001 (AI governance) certifications, a meaningful trust signal for an AI-driven infrastructure vendor
  • Strong onboarding and support model that reduces time-to-value for teams new to the platform

Cons

  • High cost of entry ($3,500–$7,000+/month plus paid add-ons) makes it inaccessible for smaller teams or budget-constrained projects
  • Learning curve when engineers need to step outside the abstraction into raw Kubernetes YAML or custom Terraform
  • Some reviewers describe the UI as dated relative to newer DevOps tooling, and note audit-log search/reporting could be more intuitive
  • Feature parity can lag behind brand-new cloud provider releases

What we found

4.6/5
40 reviews aggregated
G2 ↗TrustRadius ↗

Reviewers on G2 and TrustRadius consistently praise DuploCloud's self-service, no-code interface for cutting the time engineers spend on Kubernetes and cloud provisioning, and call out its built-in compliance automation as a differentiator versus assembling the equivalent stack in-house. The most repeated criticisms are a learning curve when teams need to drop into raw Kubernetes YAML or Terraform underneath the abstraction, an interface some reviewers describe as dated, and audit-log search/reporting that could be more intuitive.

Ratings and review counts come from public review platforms. We link to the original source and keep the underlying review text out of this profile.

User reviews

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