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.