DevOps and Workload Automation
Cloud Application Development

Cloud application development involves the process of creating software applications that are designed to run on the cloud computing platforms. The cloud application developed by 1cloudstar is scalable, flexible, and can be easily accessed and used by users. At 1cloudstar, our skilled developers leverage a wide range of tools and services to develop applications quickly and efficiently while ensuring it is tailored to the specific needs of our clients.

Deployment Automation

Deployment automation refers to the process of automating the deployment of software applications or services to the cloud-based infrastructure. Tools and technologies are used to streamline and standardize the deployment process, making the process efficient, reliable, and repeatable. At 1cloudstar, our DevOps engineers are capable implementing continuous integration and continuous deployment (CI/CD) pipelines to automate the building, testing, and deployment of applications. Tools such as Bitbucket, along with cloud-based services such as AWS CodePipeline or Azure DevOps are used to ensure smooth deployment.

Operation Automation

Operation automation refers to the process of automating tasks and processes involved in managing and maintaining cloud-based infrastructure and applications. At 1cloudstar, our engineers are equipped with knowledge on automating the process of creating and configuring cloud-based infrastructure such as servers, storage, and networking. Terraform and CloudFormation are examples of tools used by the engineers to provide operation automation. This ensure that we can provide operations services to our clients with high efficiency and reliability.

Serverless Computing

Serverless computing is also known as Function-as-a-Service (FaaS), where developers can deploy and run code without having to manage any underlying infrastructure. At 1cloudstar, our developers are proficient to write and deploy small, independent functions that are triggered by specific events like HTTP request. Serverless computing can handle sudden spike in traffic. The resources are then scaled automatically to run the functions based on the amount of traffic received.

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