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职场能力评价定义
Cheng-Ming, Kuo 郭政旻
I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.
[email protected]
0953-866-708
Expecting work region: Taipei
Education
Nation Taiwan University of Science and Technology (NTUST), 2014 - 2016
Chung Yuan Christian University (CYCU), 2010 - 2014
Skills
Python
Web
DevOps
Work Experience
Unnotech (創順科技), 2017.10 - now
DevOps Engineer, 2018-6 - present
As a DevOps Engineer, my responsibilities include:
- Migrating production services from Docker Swarm to GCP Kubernetes.
- Using Helm to manage our Kubernetes applications.
- Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
- Using cloudSQL replica to implement database Read/Write splitting.
- Monitoring the services with Prometheus, Grafana, and Sentry.
- Implementing CI/CD with Drone (previously used Jenkins).
- Developing a geoip plugin for caddy2.
- Ensuring high availability and auto-recovery when encountering problems.
Backend Engineer, 2017-10 - present
As a Backend Engineer, my responsibilities include:
- Planning and implementing the functional architecture of the company's main product.
- Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
- Managing and preventing high-concurrency web robot attacks.
- Planning and implementing a project to crawl crypto exchange information.
- Constructing and maintaining RESTful APIs.
- Communicating with frontend teams through APIs and providing them with necessary support.
- Developing microservices and communicating with our services.
- Developing an asynchronous script to test server stability.
- Using Swagger to create API documentation.
Personal works, 2017.3 - 2017.7
- This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
- This project involves web scraping the YouTube website.
Deployed in Heroku. (Test account : test, password : test1234)
WAP interview Interm, 2017.5
I had the opportunity to interview for an internship with Works Application, a company based in Japan.
The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.
Master's Dissertation
High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.
We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.
Cheng-Ming, Kuo 郭政旻
I love coding because it simplifies many things in life. During my spare time, I always work to improve my coding abilities and hope to contribute to open-source projects.
[email protected]
0953-866-708
Expecting work region: Taipei
Education
Nation Taiwan University of Science and Technology (NTUST), 2014 - 2016
Chung Yuan Christian University (CYCU), 2010 - 2014
Skills
Python
Web
DevOps
Work Experience
Unnotech (創順科技), 2017.10 - now
DevOps Engineer, 2018-6 - present
As a DevOps Engineer, my responsibilities include:
- Migrating production services from Docker Swarm to GCP Kubernetes.
- Using Helm to manage our Kubernetes applications.
- Implementing a Helm template for pgbouncer (a connection pool package) to use with our cloudSQL.
- Using cloudSQL replica to implement database Read/Write splitting.
- Monitoring the services with Prometheus, Grafana, and Sentry.
- Implementing CI/CD with Drone (previously used Jenkins).
- Developing a geoip plugin for caddy2.
- Ensuring high availability and auto-recovery when encountering problems.
Backend Engineer, 2017-10 - present
As a Backend Engineer, my responsibilities include:
- Planning and implementing the functional architecture of the company's main product.
- Optimizing ORM SQL and using appropriate caching techniques to mitigate database load and reduce response time.
- Managing and preventing high-concurrency web robot attacks.
- Planning and implementing a project to crawl crypto exchange information.
- Constructing and maintaining RESTful APIs.
- Communicating with frontend teams through APIs and providing them with necessary support.
- Developing microservices and communicating with our services.
- Developing an asynchronous script to test server stability.
- Using Swagger to create API documentation.
Personal works, 2017.3 - 2017.7
- This application is similar to Twitter, allowing users to register, post articles, and engage with content through commenting and liking.
- This project involves web scraping the YouTube website.
Deployed in Heroku. (Test account : test, password : test1234)
WAP interview Interm, 2017.5
I had the opportunity to interview for an internship with Works Application, a company based in Japan.
The project topic was to design an ERP system for a large chain bookstore. I implemented the system using Java and presented a demo to their engineering team.
Master's Dissertation
High energy consumption of data centers is an important issue which is widely discussed. Dynamic consolidation of Virtual Machine (VM) can reduce energy consumption by concentrating the workload of active hosts. However, VM migrations would cause some cost and consolidation might bring more resource demands and lead to violate service level agreements (SLA) between cloud computing providers and users.
We proposed a VM allocation mechanism by using the requirement history of VMs to calculate standard deviations (STD), the mechanism can predict future resource requirements of each VM and reallocate VMs into the server under the QoS requirements. When some servers overload in a datacenter, suitable VMs are selected from these servers and migrated to appropriate servers to meet the requirement of SLA. On the other hand, when some servers underload, all VMs are migrated out from underload server, switched to sleep mode. Compared to the heuristics proposed in previous studies, the proposed method could greatly decrease number of migrations、SLA violations and execution time.