Elasticsearch PHP UG BG
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Elasticsearch is a distributed, open source search and analytics engine. It allows for real-time search, analysis, and storage of data across many nodes. Elasticsearch is the central component of the Elastic Stack, and can be easily integrated with PHP. Some potential use cases discussed include using Elasticsearch as a content hub, headless CMS, SLA monitoring system, or for asynchronous storage. The presentation provided an overview of Elasticsearch's architecture and functionality.
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This is an invited talk I gave at the Learning Analytics Summer Institute in Seoul, Korea September 20, 2016.
An Experimentation Toolkit for Robotics Control and Manipulation Tasks using ...
The recent burst in progress for machine learning has enabled more sophisticated algorithms for complex tasks. The combination of deep learning (which uses machine learning algorithms such as neural nets) and reinforcement learning has been quite effective at robotics control tasks. However, proper toolkits for building these algorithms are lacking, alienating beginners and making it hard to prototype or even compare results of algorithms developed by different teams. This project deals with building such a toolkit. The requirements were considered and the final product is a fairly easy-to-use toolkit that can assist in building robot learning algorithms.
Why contribute to open source projects
This document discusses reasons to contribute to open source projects, including to add new features or fix issues, learn software development skills, learn new programming languages and technologies, build an online presence to help your resume stand out, and have fun collaborating with other skilled people. It also lists several popular open source big data and administration tool projects, as well as application development tools. Finally, it provides tips on how to get started contributing, such as choosing a project, subscribing to mailing lists, reading issue trackers and documentation, and beginning by using the tools yourself before contributing code changes, documentation updates, or other improvements.
Getting a Neural Network Up and Running with OpenLab
Access to hardware for AI/ML for the everyday developer wanting to explore this field can be challenging to obtain and maintain for even the most rudimentary applications and testing. Needing to go beyond a single development machine running locally only increases this. OpenLab is curated infrastructure accessible to open source projects and individuals working within and on open source projects designed to help address this use case. Access to GPU, FPGA, IoT, and more, allows HPC, AI/ML, Deep Learning, or other testing and applications. In this presentation, we will walk through getting an account with OpenLab, obtaining resources, and getting a neural network up and running with an app that will bring back great childhood memories.
Accelerate the ROI of PHP in your Enterprise
The Philosophy in Programming Society is a Singapore-based organization that was started in 2006 to promote PHP programming. It holds regular monthly meetups with companies like Microsoft, Oracle, and Yahoo where it has had over 700 members participate. It provides PHP training and certification courses to help developers gain skills and has partnerships with schools and technology companies. The document discusses recommendations for developers to get a fast ROI with PHP, including building a team with PHP knowledge, using the right tools like frameworks and version control, and following good processes with modeling, design patterns, and methodologies.
JupyterHub - A "Thing Explainer" Overview
JupyterHub allows each user to have their own Jupyter notebook server by using a central hub that handles authentication, spawns single-user notebook servers on demand, and proxies requests to the various user servers. The hub consists of a user database, authenticator to check user identities, and a spawner that creates the individual user servers. JupyterHub is useful for classes where students can do homework, workshops that require installation, or research groups that want to share computing resources through a centralized hub.
CodeIgniter for Startups, cicon2010
Slides from my presentation at CodeIgniter Conference 2010 in Bristol in August 2010.
What I talked about:
- Startups: methodologies & techniques
- CodeIgniter: applying what we’ve learned
- The future: how could things be better
FuelPHP presentation - PeoplePerHour workshop
A short presentation about FuelPHP framework i gave in 2012 in a workshop held by PeoplePerHour.com in its Athens HQ
Exploring Content API Options - March 23rd 2016
Today the market is awash with options available for developers to consume content using the APIs. Some go as far as describing their offering as a CMS without the bad parts, where as some choose to provide content using a data centric API platform.
All of this while the classic Content Management System players are opening up their core via APIs and modernising their technical platforms. Is there a silver bullet for Content APIs? Let's find out!
Original presentation format available on Sway: https://sway.com/YIZfYDgcQyJwcmWI
TDC 2016 SP - 5 libs de teste JavaScript que você deveria conhecer
The document discusses 5 JavaScript testing libraries that are recommended for testing:
1. Karma - A test runner that executes unit tests in real browsers. It features live feedback on each save and integrates with various frameworks.
2. Sinon.js - The best framework for mocks, stubs, and spies. It also facilitates AJAX and fake server testing.
3. Supertest - A very simple library for testing HTTP requests independently of any framework.
4. Protractor - A framework for end-to-end testing using Selenium WebDriver. Created by the AngularJS team but also works well with non-Angular apps.
5. VisualReview-protractor - An API for Protractor that
Enhance WordPress Search Using Sphinx
This presentation provide the details of what is the problem with WordPress Search and how Full-Text search on WordPress can be used using Sphinx
DOD Presentation V2
1) The document outlines the career journey of Cookie Lanfear from a software development bootcamp to becoming a junior DevOps engineer.
2) It discusses onboarding apprentices and mentoring them in DevOps culture from the start to avoid bad habits.
3) The document proposes a hypothetical 6 month lesson plan for a new DevOps engineer apprentice focusing on tool training, shadowing mentors, and completing projects to build skills and knowledge.
Creating an Open Source Office: Lessons from Twitter
The document discusses lessons learned from creating an open source office at Twitter. It describes how Twitter has been built on open source software since the beginning. It also discusses several important open source projects Twitter has created and contributed to, such as Bootstrap, Mesos, Twemcache, and Parquet. Some key lessons highlighted include choosing licenses diligently, collaborating with the community from the start of projects, and ensuring projects have owners if contributors leave the company. The talk emphasizes that community building is important for open source projects and that developer advocates are valuable for growing contributions.
Amsterdam Meetup Presentation - Marts 2014
This document discusses Titanium native development and the Hyperloop compiler. It introduces native development and why developers may want to use it, such as leveraging native features, libraries, and improved performance. It provides an example of creating a TestFlight module for both iOS and Android. Hyperloop is introduced as a next-generation compiler that converts JavaScript to native code for improved performance. Its benefits and future potential are discussed, such as enabling cross-platform modules through abstraction and supporting new platforms like desktop apps.
2014 #vBrownBag OpenStack Summit Atlanta Ju Lim -- OpenStack Personas
The document discusses OpenStack personas, which are profiles of fictional users developed based on real user research. It provides an overview of personas and their benefits for product development. Two sample personas, Ben and Daichi, are presented to illustrate how personas describe a user's goals, frustrations, and expectations to help guide design decisions. The document encourages involvement in the OpenStack Personas Working Group and ends with useful links for more information.
Apache Olingo - from Incubation to a real Olingo (Apache TLP)
The Apache Olingo project actual contains Java and JavaScript libraries which provided development support for the realization of an OData service as a server in addition to support for consuming an OData service as client.
Before the Apache Olingo project started there was an earlier Open Source project from which we learnt that it’s best to start from scratch and thereby avoid failures from the past. By starting afresh, we could do everything better than before.
This is how the Apache Olingo was born.
Robotics, Search and AI with Solr, MyRobotLab, and Deeplearning4j
Here is the slide deck from my presentation at the Activate Conference in Montreal. The session is available on YouTube here: https://www.youtube.com/watch?v=BGHQ-WAWA98
Similar to Elasticsearch PHP UG BG (20)
Building the Next Generation Teaching and Learning Environment
Building the Next Generation Teaching and Learning Environment
An Experimentation Toolkit for Robotics Control and Manipulation Tasks using ...
An Experimentation Toolkit for Robotics Control and Manipulation Tasks using ...
Getting a Neural Network Up and Running with OpenLab
Getting a Neural Network Up and Running with OpenLab
TDC 2016 SP - 5 libs de teste JavaScript que você deveria conhecer
TDC 2016 SP - 5 libs de teste JavaScript que você deveria conhecer
Creating an Open Source Office: Lessons from Twitter
Creating an Open Source Office: Lessons from Twitter
2014 #vBrownBag OpenStack Summit Atlanta Ju Lim -- OpenStack Personas
2014 #vBrownBag OpenStack Summit Atlanta Ju Lim -- OpenStack Personas
Apache Olingo - from Incubation to a real Olingo (Apache TLP)
Apache Olingo - from Incubation to a real Olingo (Apache TLP)
Robotics, Search and AI with Solr, MyRobotLab, and Deeplearning4j
Robotics, Search and AI with Solr, MyRobotLab, and Deeplearning4j
Elasticsearch PHP UG BG
- 1. ELASTICSEARCH The “new school” search/ analytics engine What is it and what you can do with it
- 2. About me - @nignatov • Founder/CEO/TA/PM/AM… at Node Spark • Using PHP since 2006 • Using Drupal since 2009 • Love to experiment with new technologies • The Godfather of Elasticsearch Connector
- 3. After the session you should know: • What is Elasticsearch • How Elasticsearch is working in general • How you can integrate it with PHP • If time - share some ideas of possible use cases.
- 4. Shay Banon • http://thedudeabides.com/ • https://github.com/kimchy • https://twitter.com/kimchy/ • Founder & CTO at Elastic https://elastic.co Who made Elasticsearch?
- 8. Who else is using it?
- 9. Who else is using it?
- 10. • Distributed out of the box - Incredible easy to make cluster, just start new node! • High availability • Real time index/search • REST API with JSON • Written in Java, build on top of Apache Lucene and Open Source http://github.com/elasticsearch/elasticsearch • Schema free • Document oriented What is Elasticsearch?
- 11. Vertical and horizontal scaling E01 E01 E01 E02 E03 E04 + E01
- 14. Some associations RELATIONAL DB ELASTICSEARCH Database Index Tables Types Rows Documents Column Field
- 15. How to install it?
- 16. How to install it?
- 17. How to install it?
- 18. Support matrix
- 19. … or Elastic Cloud
- 21. How distributed works? Node 1 PUT /twitter index: number_of_shards:3 number_of_replicas:1
- 22. How distributed works? Node 1 PUT /twitter index: number_of_shards:3 number_of_replicas:1 1P 2P 3P
- 23. How distributed works? Node 2 Node 1 1P 2P 3P
- 24. How distributed works? Node 2 Node 1 1P 3P 2P 1R 3R 2R
- 25. How distributed works? Node 2 Node 1 1P 3P 2P 1R 3R 2R Node 3
- 26. How distributed works? Node 2 Node 1 1P 2P2R Node 3 3P 1R3R
- 27. How distributed works? Node 2 Node 1 1P 2P2R Node 3 3P 1R3R
- 28. How distributed works? Node 1 1P 2R Node 3 3P 1R
- 29. How distributed works? Node 1 1P Node 3 3P 1R 2R3R 2P
- 31. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 32. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 33. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 34. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 35. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 36. Node 2 Node 1 PUT /twitter/tweet/1 {….} 1P 2P2R Node 3 3P 1R3R Distributed indexing
- 38. Node 2 Node 1 GET /twitter/_search?q=php 1P 2P2R Node 3 3P 1R3R Distributed Search
- 39. Node 2 Node 1 GET /twitter/_search?q=php 1P 2P2R Node 3 3P 1R3R Distributed Search
- 40. Node 2 Node 1 GET /twitter/_search?q=php 1P 2P2R Node 3 3P 1R3R Distributed Search
- 41. Node 2 Node 1 GET /twitter/_search?q=php 1P 2P2R Node 3 3P 1R3R Distributed Search
- 43. Brainstorm – Content hub Site X Site Y Site Z Content Hub Feed Site
- 45. Brainstorm – SLA Hub Site 01 Site 02 Site 03 Site 04 Site 05 Support Department Monitoring
- 47. Thank you!