QS (Queue Service) is a fully managed message queue (queue) service that can separate and scale microservices, distributed systems, and serverless applications.

Secure and convenient data protection and management using KMS-based encryption keys

An architecture that issues token-based OpenAPI temporary keys using Secret Vault and accesses Samsung Cloud Platform resources and services

Introduction to using Vector Search in Elasticsearch Enterprise

Guide to configuring Active Directory Domain Controller on Samsung Cloud Platform

Guide to installing and utilizing Microsoft HPC Pack for building a Windows HPC Cluster environment

Technology that migrates Container Images located in the Container Registry to the SCP V2 environment.

Through a web-based console, migration technology of Elasticsearch, a distributed search and analytics engine

Technology to migrate to Samsung Cloud Platform v2 environment while preserving the existing server's operating environment and state

The availability design principle reviews how to design a high-availability architecture that ensures services are not disrupted even if cloud components fail, and how to select suitable technologies and services. It covers understanding the availability and availability goals of cloud services, selecting technologies that prevent single points of failure from leading to service failures, and designing architectures and technologies that can respond elastically to sudden increases in demand without disrupting services.

Security design principles protect cloud resources and data while providing business value to customers. To ensure continuous operation of cloud-based services, security risks must be reviewed and strategies established to mitigate them. By reviewing design principles and technology choices that strengthen the security of the architecture, cloud infrastructure and resources can be successfully protected.

The reliability design principle reviews the design plan to quickly recover from failures or disasters and minimize data loss in systems implemented in the cloud. It sets the priority and recovery order based on the business impact, and designs the architecture and selects technology according to the recovery time objective and recovery point objective presented in the requirements.

The performance efficiency design principle focuses on using cloud infrastructure and resources to meet increasing demand and technology requirements. It involves understanding performance improvement attributes such as latency and throughput, and selecting technologies that can contribute to performance improvements across various layers, including computing, data storage, and networking.

The operational excellence design principle reviews ways to run and improve applications to maximize business value with minimal disruption. It explores continuous integration, continuous deployment, and automation to improve operational tasks, leveraging cloud characteristics.

The cost optimization design principle reviews not only the concept and execution of FinOps to increase the return on investment, but also the principle of selecting technologies that can minimize costs when designing cloud architecture, and establishing a process to continuously optimize costs during operation.