While most of the people fights with integration of things, meanwhile, we work for innovation in the deep roots of our jungle.

1. ZOPS Intelligent Platform
Gökhan Boranalp, http://www.zetaops.io
https://tr.linkedin.com/in/gokhanboranalp @zetaops
gokhan@zetaops.io
Haziran 2016
* This project in incubation stage and we are currently working on it. The features
mentioned in this presentation shouldn’t be taken as ready for production use.

2. Contents
●Problem
●Solution
●Underlying magic/technology
●Status
●Business model
●Team
●Projects

3. Problem definition
●
Business applications should “merge” with data
science tools
●
Sooner or later, IOT platforms should be
“controlled” by business layer of system.
●
Good old “expert systems” becoming smart
systems. Because of this, every system “will” be
adopted to AI in near future.
●
Data related apps should be distributed and cloud
operated, period!

4. ZOPS Intelligent Platform

5. ZOPS Intelligent Platform
●
ZOPS is a Python based, Open Source Intelligent
microservice Platform to manage, “BPMN 2 business
processes (workflows)”, “business data” and “IOT generated
data” with data analysis and AI capabilities.
●
ZOPS can easily connected an existing IOT platform to
collect data.
●
ZOPS also operates with or without IOT part in vertical
sectors.
●
ZOPS is horizontally distributed platform, designed for cloud
(Openstack, GCE, Amazon etc.) environments.
●
No need for additional services (Amazon SQS, Elastic Cloud
etc.)
●
No cloud vendor lock-in with ZOPS.

6. Why another platform?
●
Data science should be done with live data.
●
Machine learning results should reflect back to system
behaviour.
●
Neural nets should be natural part of system.
●
Resource utilization is a must in cloud envs.
●
Traditional RDBMS for business, NoSQL power to
collect IOT data is an obligation.
●
Release often, release early with strong dynamically
typed Python.
●
The first and only platform, developed with Python with
these components.
➔
Designed for millions of users

7. Underlying magic/technology

8. ZOPS Technology Stack

10. Underlying magic/technology
●
Zengine, Python based, advanced BPMN workflow
engine.
●
Pyoko, Riak NoSQL ORM.
●
Zato ESB.
●
Real time stream processing with directly
connected data, Apache Spark.
●
Basho Riak, Riak TS, Riak S2 for data storage
●
Tornado async web server
●
Cloud centric system architecture.

11. Status
● Finalize Spark integration
● Redesign of metric collector
● Mesos integration for Spark jobs.
●Automate Chef books
●Implementation of SQL Alchemy

12. Business Model
Open source business model is on the rise!
●
SAAS, PAAS deployment options.
●
Dual licensing,
●
OSS with Apache 2 license
●
Enterprise with BSD license

13. Team
●
8 developers
●
1 project manager
●
4 students working half time for project
●
2 designers for UI design and coding
●
2 remote coders
●
4 advisers

14. Contact
Interested to see this project running soon?
Reach us at
info@zetaops.io

15. Resources
http://sandhill.com/article/2017-will-be-the-launchpad-for-iot-edge-analytics/
http://basho.com/resources/
http://basho.com/products/riak-ts/
http://www.slideshare.net/maxdemarzi/introduction-to-graph-databases-12735789
https://github.com/thinkaurelius/titan/wiki/Downloads
https://docs.basho.com/riak/1.2.1/references/appendices/comparisons/Riak-Compared-to-Neo4j/
https://www.quora.com/What-are-some-use-cases-for-graph-databases
http://stackoverflow.com/questions/19570654/do-graph-databases-deprecate-relational-databases
https://pythonconquerstheuniverse.wordpress.com/2009/10/03/python-java-a-side-by-side-comparison/
http://paulbuchheit.blogspot.com/2007/05/amazingly-bad-apis.html
https://archive.org/details/SeanKellyRecoveryfromAddiction
http://twistedmatrix.com/users/glyph/rant/python-vs-java.html
https://www.python.org/doc/essays/comparisons/
https://smartbear.com/learn/api-design/what-are-microservices/
http://cloudacademy.com/blog/microservices-architecture-challenge-advantage-drawback/
http://eugenedvorkin.com/seven-micro-services-architecture-advantages/
http://martinfowler.com/articles/microservice-trade-offs.html
http://www.workflowpatterns.com/
https://en.wikipedia.org/wiki/Workflow
https://www.quora.com/Is-it-true-that-Apache-spark-is-10-times-faster-than-Hadoop
https://postscapes.com/internet-of-things-market-size/

16. Resources
http://basho.com/posts/technical/riak-vs-cassandra/
https://www.quora.com/What-are-the-differences-between-Cassandra-and-Riak
http://arstechnica.com/information-technology/2016/04/power-tools-sorting-through-the-crowded-specialized-database-
toolbox/
https://www.iotivity.org/
http://basho.com/about/customers/
http://platformio.org/
https://www.kaaproject.org/
http://www.postscapes.com/internet-of-things-award/open-source/
http://www.riot-os.org/#features
http://kinoma.com/
https://workflow.wordpress.com/2008/11/24/the-size-of-the-bpm-market/
http://www.mckinsey.com/industries/high-tech/our-insights/the-internet-of-things-sizing-up-the-opportunity
http://www.forbes.com/sites/gilpress/2014/08/22/internet-of-things-by-the-numbers-market-estimates-and-
forecasts/#26e08c582dc9
http://www.clustrix.com/resources/white-papers/why-traditional-sql-databases-fail-to-scale-writes-reads-effectively/
http://readwrite.com/2014/11/28/internet-of-things-nosql-data/
https://wiki.python.org/moin/Why%20is%20Python%20a%20dynamic%20language%20and%20also%20a%20strongly
%20typed%20language
http://stackoverflow.com/questions/11328920/is-python-strongly-typed
https://en.wikipedia.org/wiki/Strong_and_weak_typing
https://pythonconquerstheuniverse.wordpress.com/2009/10/03/python-java-a-side-by-side-comparison/
https://stackshare.io/zetaops/zetaops