As a member of cloud service team, I am familiar with cloud management(monitoring, maintenance, security, HA) and cloud services(IaaS, PaaS, SaaS).
We designed and developed our own clo
1. Cloud management
1.1 IaaS with Openstack.
1.2. PaaS with OKD and K8S(Kubernetes)
1.3. DevOps with CI/CD server(jenkins) and github(gitlab)
1.4. Business integration with WSO2 Products(WSO2 ESB, WSO2 BPM, WSO2 AG, WSO2 IDS)
1.5. Data integration and MDM with Talend open studio
1.6. Big data analytics with hotornworks
1.7. Cloud management with monitoring system, log management system, security management system, automation platform and service continuty solution.
- Prometheus+ Grafana
- OpenDCIM, Nagios, OpenNMS, DMTF, Redfish, itop(ITSM)
- OSSIM
- Ansible AWX
2.Devops
DevOps is a set of software development practices that combine software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with business objectives.
I am familiar with AWS devops and jenkins solution.
By using AWS codepipeline, code commit, code build and code depoly, I can do effective deops in AWS eco.
In my solution, Jenkins is integrated with AWS devops.
3. SSO
With wso2 ids(identity server) and Keycloak, I've realized identity integration.
Through these days, I am familiar with identity protocols such as saml, oauth, openIdconnect and so on.
Nowadays, information systems are integrated and users are requiring one-time registration, one-time login, one place login.
These requirements are satisfied with my solution.
Several companies are happy with my sso solution.
4. ELK
I’ve realized log management system in some companies with ELK/EFK(Elasticsearch, Logstash/Fluentd, Kibana) stack.
As you know, Kibana is a data visualization plugin for Elasticsearch and provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. With this, can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.
Log management systems, we’ve developed, are conntains several figures and data tables according time line.