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.
Agile and DevOps Services streamline software development and delivery through practices that promote collaboration, flexibility, and ongoing improvement, thereby enhancing efficiency and innovation.
Agile focuses on iterative development and customer feedback, enabling teams to respond quickly to changing requirements. DevOps enhances this by bridging the gap between development and operations, ensuring continuous integration and delivery. Together, they offer a holistic approach to...
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.
We were initially using Heroku but wanted to migrate for more granular control and cost savings.