Case Studies
Public Utilities – Government
Requirements
- Offering managed container solutions for public sector by leveraging globally anticipated cloud technology
- Addressing day-2-Operations, the primary concern post-containerization, through SaaS
- Enhancing scalability via unified services within the national research container platform PaaS-TA
- Provide a practical approach to MSA transformation and DevOps adoption for Cloud DX
Solution
Kubernetes DevOps System
- Ready-to-use CI/CD and automated DevOps process tools, including source-to-image and binary-to-image, based on Jenkins
Service Mesh Features
- Supplying detailed traffic control, observability, traceability, and traffic topology visualization
Cloud-native telemetry
- Multidimensional monitoring, event, and audit log queries are supported. Includes multi-tenant log query and collection, alerts and alarms
App Store
- Provide an application store for Helm-based applications and provide application lifecycle management on the Kubernetes platform
Managing Kubernetes Multi-Cluster
- Deploying applications across numerous clusters and cloud service providers (CSPs), while offering disaster recovery and cross-cluster visibility
Finance – Insurance
Requirements
- Enhancing KB Star Bank’s competitiveness by exploring new ventures based on innovative technologies, establishing MSA architecture as a service element, and promoting shared development
- Build KB Wallet platform to discover new business opportunity areas based on new technologies
- Platformization of authentication services and acquisition of non-account-based customers by focusing on differentiated services and contents
- Implementing a platform that provides customer-centric services and flexibly connects with external services
- Build the latest IT development infrastructure and architecture in compliance with the KB Architecture Design Guide, and Organize CI/CD according to KB agile development methodology
Solution
Define and deploy AWS environment resources for MSA services
- Define and deploy AWS resources (EC2, EKS, API G/W, RDS, ECR, MSK, EFS, S3, Route53, CloudWatch, OpenSearch, CodeDeploy)
- Build infrastructure and architecture that MSA design is applied
- Configure LB – API G/W – Istio for MSA s
- Offer monitoring through Jenifer and EFK setup
Merge with your AWS platform for CI/CD and construction pipelines
- Integration and pipeline setup with AWS platform and CI/CD utilities pre-loaded in KBOneCloud for deployment (Bitbucket, Jenkins, ArgoCD, SonarQube, Sparrow, Nexus, Harbor)
Finance – Insurance
Requirements
- Reconstructing the LainaLife Digital Channel in an AWS Cloud-centric DevOps Environment
- Establishing a Service Mesh Environment for MSA
- Constructing Deployment System (STG) and Production System (PRD) Infrastructure with laC
- Build a CI/CD Pipeline and Deployment Process
- Build an Infra, Application Monitoring Environment
Solution
Infrastructure as Code
- Offer AWS deployment realm (STG) and production realm (PRD) framework using Terraform
Service Mesh
- Provide a Service Mesh environment between MSAs through AWS EKS-based Consul
CI/CD
- Provide CI/CD Pipeline and Deployment Process environment based on AWS EKS and EC2
- Tool : GitLab, GitLab-Runner, Nexus, Harbor, Sonarqube, Jenkins, ArgoCD
Monitoring
- Provide Application & AWS Infra Monitoring environment through ELK
Information – Communications
Requirements
- Configure AIQ Talk infrastructure and upgrade your chatbot cluster by building a new chatbot AI solution
- Configure MinIO object storage
- Configure Docker Image registry
- Nvidia GPU driver upgrade
- Increase the number of chatbot cluster GPU nodes
Solution
Performance
- Boost chatbot cluster performance via Nvidia driver upgrade and additional GPU nodes
Image registory
- Nexus to Harbor redundancy transition and image migration at the customer site
MinIO object storage
- Multi-faceted monitoring, event, and audit log queries supported, includes multi-tenant log queries, collection, alerts, and alarms
ElasticSearch cluster for ELK
- Building an ElasticSearch cluster in the ELK Stack for Logging System and making it accessible to chatbot clusters
Manufacturing
Requirements
- Develop DevOps systems and automated procedures to modernize SW lifecycle
- Configure Cloud Native Architecture
- Establish a containerization environment and secure infrastructure stability and efficiency via Kubernetes
- Configure test environment and secure automation area
- Introduce automation of work procedures
- Improve CI/CD tools and expand IaC
Solution
Building DevOps Infrastructure and Architecture
- Configure and deploy infrastructure based on AWS EKS
- Configure a Containerization Environment
Design and Build a CI/CD Pipeline
- Build a CI/CD Pipeline based on AWS EKS
- Build a CI/CD automation process with Jira
- Set up a toolchain with GitLab, GitLab-Runner, Nexus, Sonarqube, Jenkins, ArgoCD, and Jira
Infrastructure as Code
- Deliver a 4-tier Infra environment and organize AWS resources via Terraform
Monitoring
- Provide a log monitoring environment for each environment with Opensearch
Manufacturing
Requirements
- Assist in building and configuring a Kubernetes cluster on RKE2, deploy CICD pipelines, AWS ELK, and APIM workloads
- Build a production RKE2 cluster
- Configure HA (infrastructure end redundancy)
- Build CI/CD pipeline and deploy ELK
- Deploy APIM workload
- Support for technical deployment of development systems
Solution
RKE2 aims to simplify and make more reliable the operation of Kubernetes clusters with the more secure RKE2 than RKE
RKE2, a fully compatible Kubernetes distribution focused on security and compliance for the U.S. federal sector, achieves these goals by
Kubernetes Benchmark
- Providing defaults and configuration options for clusters to pass the CIS Kubernetes Benchmark v1.6 or v1.23 with minimal operator input
Security Standards
- FIPS 140-2 compliant
Vulnerability checks
- Regularly scan components for CVEs using trivy in the build pipeline