Chan Shik Lim

96 Followers

11 SlideShares 96 Followers 183 Followings

11 SlideShares 96 Followers 183 Followings

* Software development experiences in server-side system design and implementation. * Experiences in global scalable backend development. * Continuous passion for learning (Coursera, Udacity). * Github: https://github.com/chanshik * Codewars: http://www.codewars.com/users/chanshik * Machine Learning Final Course Grade is 96.1% https://www.coursera.org/learn/machine-learning * Deep Learning Nanodegree Foundation @ Udacity https://www.slideshare.net/slideshow/embed_code/key/JdhJDfCvB4XrUP

intermediate python programming prometheus metallb ceph on premise rook kubernetes elasticsearch nexclipper type object list comprehension coroutine k8s function generator ha class high availability oop namenode hadoop tuning optimisation profiling itertools data structure collections raceband 5g streaming drone fpv ffmpeg golang extension scalable prometheus up&running pipeline metrics datadog openmetrics hypertable database time-series timescaledb postgresql multimaster grafana mysql-operator opensource baremetal

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Python Programming: Type and Object

8 years ago • 683 Views

Python Programming: Function

8 years ago • 614 Views

Python Programming: Class and Object Oriented Programming

8 years ago • 539 Views

Python Programming: Data Structure

8 years ago • 360 Views

Python Programming: Tuning and Optimization

8 years ago • 1079 Views

Hadoop High Availability Summary

7 years ago • 173 Views

Kubernetes on Premise

6 years ago • 523 Views

Kubernetes on Premise Practical Guide

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pgday.seoul 2019: TimescaleDB

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PGConf.ASIA 2019 Bali - Building PostgreSQL as a Service with Kubernetes - Takahiro Kobayashi

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OpenCensus with Prometheus and Kubernetes

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Open infradays 2019_msa_k8s

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NetConf 2018 BPF Observability

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State of AI Report 2019

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Kubernetes on Premise Practical Guide

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How to use redis well

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YOW2018 Cloud Performance Root Cause Analysis at Netflix

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AI - Last Year Progress (2018-2019)

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* Software development experiences in server-side system design and implementation. * Experiences in global scalable backend development. * Continuous passion for learning (Coursera, Udacity). * Github: https://github.com/chanshik * Codewars: http://www.codewars.com/users/chanshik * Machine Learning Final Course Grade is 96.1% https://www.coursera.org/learn/machine-learning * Deep Learning Nanodegree Foundation @ Udacity https://www.slideshare.net/slideshow/embed_code/key/JdhJDfCvB4XrUP

intermediate python programming prometheus metallb ceph on premise rook kubernetes elasticsearch nexclipper type object list comprehension coroutine k8s function generator ha class high availability oop namenode hadoop tuning optimisation profiling itertools data structure collections raceband 5g streaming drone fpv ffmpeg golang extension scalable prometheus up&running pipeline metrics datadog openmetrics hypertable database time-series timescaledb postgresql multimaster grafana mysql-operator opensource baremetal

See more