Platform service to accelerate application development/operation (SDS PaaS)
If necessary, customers can simply apply for the infrastructure environments required for application development and operation. These environments are immediately available after application, compared to the existing period of 1-2 weeks.
Development/operation environments with efficient management in all areas of application development/building/deployment are ensured, based on various validated automation engines and server resources, considering compatibility with security, performance and architecture of each application.
Container-based SDS PaaS with automation functions of provisioning, management and resource expansion reduce cost and provide more reliable development/operational support compared to physical servers or virtual machines.
Optimized managed services are provided based on various experience and expertise of experts in different areas from container transfer of applications to open source SW usage.
Samsung SDS cloud environments ensure secure usage of PostegreSQL, MySQL and other open source community version relational DBs, as well as EPAS with high compatibility of commercial RDBMS.
Integrated development environments are provided by using standard open source-based development tools. Developers can increase productivity with templates, automatically generated on DevOps Console and build/deploy pipelines.
Samsung SDS offers platform service with high scalability and flexibility of resources based on Kubernetes. Deployment and scaling of containerized applications are also managed efficiently.
Cloud native applications are available based on various middleware services suitable for flexible cloud computing environments that dynamically assign and remove resources.
Web-based DBMS creation and management for relational or unstructured data and data analysis
Open source-based big data analytics service
Simple and convenient environment to manage/monitor APIs and notifications
Standard Kubernetes cluster creation and container deployment
Easy and simple ML/DL model building and learning
Real-time infra resources monitoring & failure prevention for reliable cloud operation