DuploCloud | Agentic AI DevOps Platform on AWS

The main use case for DuploCloud  in my organization is to enable developer self-service for infrastructure provisioning and application development without sacrificing our security and compliance posture. Before DuploCloud , if a development team needed a new microservice environment, an AWS  RDS  database, or an S3  bucket, they had to open a ticket with the central DevOps team. This created a bottleneck that could take days or weeks. With DuploCloud, we can provision these resources independently in minutes through a simplified UI and low-code Terraform , while DuploCloud automatically handles the complex and low-level cloud architecture behind the scenes.

DuploCloud uses the concept of a tenant, which is an isolated workspace and trust zone, and we use tenants to instantly spin up isolated sandbox, staging, and production environments. These are the primary use cases for my organization.

The no-code interface has transformed our ticket-driven team into a self-service team, particularly in our charging domain as a boss product, because at Ericsson, we only deal with telecom charging products in our case. It eliminated the repetitive low-level configuration hurdles and allowed us to focus entirely on feature code. Before DuploCloud, every piece of infrastructure required writing manual scripts or waiting on a DevOps engineer.

The UI democratized cloud access. It did not eliminate the underlying complex infrastructure such as VPCs, IAM  roles, or namespaces. Instead, it turned DuploCloud into an automated expert that does the heavy lifting based on simple forms we fill out. If my team needed to spin up a new microservice earlier, that required a secure backend container, an Amazon S3  bucket for file storage, and an AWS  RDS  database. Previously, we would open a Jira  ticket for the infrastructure team, and a DevOps engineer would spend hours on that task. If a single configuration role was missed, the deployment would fail or worse, create a compliance violation. The loop took anywhere from three to eight days. When using DuploCloud's graphical interface, we can do the exact same thing safely in under ten to fifteen minutes without needing a dedicated DevOps engineer. We just create a tenant and provision the database, bind the S3 bucket, and deploy the container. That is all that is required. The biggest shift is that we no longer babysit infrastructure or log into cloud consoles to stitch things together from a single pane of glass with reduced risk.

For service malfunctions or component failures, an engineer does not have to dig into Kubernetes  YAML. They can check the live logs, look at the built-in metrics, and trace the deployment history directly from the DuploCloud dashboard. These are the key benefits.

One valuable feature is tenant-based isolation and multi-tenancy. This is the foundational architecture of DuploCloud and its single best feature for daily tasks. It abstracts cloud environment into tenants, which are isolated trust zones. When we create a tenant for a specific project or microservices in our charging products, the underlying VPC subnets, routing tables, AWS security groups, and namespaces are automatically configured.

The no-code UI paired with a low-code Terraform  provider is one of the key advantages of using this platform, as it gives us the best of both worlds depending on comfort level. It offers a clean graphical interface to provision complex cloud services such as AWS RDS, S3, or EKS clusters without needing deep cloud expertise. For advanced infrastructure as code workflows, it features a specialized DuploCloud Terraform provider.

The turnkey continuous compliance engine is another key feature. The platform has a rule-based engine mapped to strict compliance standards such as SOC 2 and HIPAA. If we deploy an application or storage bucket through DuploCloud, the platform automatically applies required controls such as forcing encryption at rest, enabling logging, managing backups, and setting up alerting and monitoring.

The most objective critique I can give of any low-code abstraction tool is feature latency. Major cloud providers such as AWS and Azure  release dozens of new services, instance types, or deep granular configurations every single year. Because DuploCloud sits as a translation layer between the engineer and the cloud provider, there is naturally a slight lag before those brand-new features show up in DuploCloud portal or in its custom Terraform provider. If our team wants to experiment with a newly launched AWS machine learning instance type or a highly specific EKS feature, sometimes we have to wait for DuploCloud to build it into their UI or find a temporary workaround via native cloud consoles.

While DuploCloud is designed to make standard compliant infrastructure setups incredibly fast, sometimes edge cases can happen. The platform does a fantastic job of automating the ninety percent use case, but if an application requires a highly exotic legacy network topology and unconventional Kubernetes  Ingress configuration, fighting against the platform's rigid safety guardrails can sometimes feel restrictive, which we faced in one of our testing projects last year. The UI simplifies everything, so when we actually needed to inject the raw, highly complex native Kubernetes YAML modifications, the escape hatch to override standard rules can sometimes have a learning curve, which we have already faced. Streamlining how advanced overrides to default settings work without breaking the compliance engine would be a great user experience improvement.

The platform actively monitors for compliance drifts and logs system configuration perfectly. However, the searchability, filtering, and reporting element inside the administrative audit log UI could be more intuitive.

I have been using DuploCloud for nearly four years.

Moving away from a ticket-driven DevOps culture means actively encouraging developers to embrace self-service. Do not just hand them the platform login; train them to understand that they now have the power and responsibility to provision their own isolated tenants and resources safely. When you remove the infrastructure middleman, you unlock massive team velocity, but the development team needs to be onboarded smoothly to build that confidence.

You need to map out your environment boundaries and isolation strategies early because DuploCloud relies on the concept of tenants to build its security perimeters. Plan your application architecture around this logic right from the start. Do not treat no-code and code as enemies. While the graphical interface is amazing for quick setups and troubleshooting, do not completely abandon infrastructure as code.

DuploCloud allows us to get the maximum value out of the vendor relationship, treating them as an extension of our infrastructure strategy rather than just a software utility, while maintaining a clean boundary as an independent enterprise customer. This is an important tool in today's technology landscape. I rate DuploCloud eight out of ten based on the improvement areas I have mentioned.

We were initially using Heroku  but wanted to migrate for more granular control and cost savings.

This did not necessarily improve things as much as move us sideways. The initial project to migrate us went well, but we now have additional maintenance and administration costs that balance the cost savings from the cheaper infrastructure.

Their initial onboarding and migration service was great. A lot of effort was put into getting things working, and the process was also relatively quick.

There seems to be significant effort toward vendor lock-in. During the sales pitch, we were told it would be very easy to turn off Duplo and its software, but upon closer inspection, the workflows make use of vendor-specific software without a technical reason. The backups are vendor-specific for disaster recovery unless one specifically requests otherwise. They also use their own Terraform  provider, which does not provide any advantage over the generic providers. The software portal can be quite buggy. Although some fixes have been done over time, the root causes were not resolved. The panel does not support everything, so features like termination protection are missing. Additionally, automated services running on the portal have performed unexpected actions, such as deleting RDS  instances.

I have used the solution for one year.

We used a PaaS vendor that was increasing costs and reducing features and services.

It is important to read the contract very carefully. I understood that we had a 30-day notice period, but according to Duplo, we are locked into a yearly contract.

We considered alternate solutions, but I cannot remember them by name.