Migrated Fully to Docker

2 months and 3 weeks ago

I spent sometimes this weekend to migrate this blog fully powered by Docker. I’ll write the tutorial in this upcoming weeks.

Introducing create-wp-site

6 months and 1 week ago

I did release create-wp-site, a command line tool to create your local WordPress development with 10up/wp-local-docker. Please check it out: ivankristianto/create-wp-site. If you have any feedback please open any issue on Github. Thanks.

Speaking at WordCamp Ubud 2017

7 months ago

This week I’m going to speak at WordCamp Ubud 2017 about ElasticPress.

WordPress Local Development Using VVV

I gave a talk about VVV Introduction, what's new in VVV 2 and why it's good for WordPress local development, on Jakarta WordPress Meetup #9 a while ago. You can get the presentation below: https://www.slideshare.net/ivankristiantocom/jakarta-wordpress-meetup-9-introducing-vvv-2 … Read more...

Ubuntu 16.04 and Android Lollipop

1 year and 6 months ago

Love the Ubuntu 16.04 LTS updates. Fast and Smooth, a lot of battery saving. And the bluetooth is working now!! Yeayy 🙂

Android Lollipop update is also fantastic. What a day 🙂

Calibreworks Devstack, LAMP Stack for Developer

Calibreworks\devstack is a vagrant based on virtualbox for a LAMP stack that works. I created a virtual box for my development environment stack.We are using this in our day to day development cycle. It is based on Ubuntu 14.04.3, Apache 2.4, PHP 5.5 and MySQL 5.5. I thought that this is worth sharing to all of you. So you can use this stack and help you in your day to day development. And if you like to contribute, a pull request is always welcome through this github. How to use: … Read more...

Learning to build Machine Learning

On this weekend I spent hours of my time learning prediction.io. PredictionIO is an open-source Machine Learning server for developers and data scientists to build and deploy predictive applications in a fraction of the time. Prediction.io make the machine learning very easy to learn. It's architecture make things easy to train the machine and deploy it. It is based on the templates with DASE architecture. And since it is build on top of Apache Spark with Mllib, all the mllib algorithms are … Read more...

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