Bee is an engine to build, deploy and manage microservices from composing event and data message handling. It supports smart scalabilities and distributed computing patterns, like mesh networks.

1. bee
FROM EVENT AND DATA HANDLING STRUCTURES INTO ‘WHATEVER YOU WANT’ SERVICES
A BRIEF INTRODUCTION

2. EVERYONE’S COMMON THINKING ON HIGH SCALABLE APPS
END USER FRONTEND HANDLING BACKEND APPLICATION AND SERVER SIDE HANDLING DATA AND STORAGE HANDLING
microservices
A
TCP/IP stacks
messaging
queues
owned data center
peer’s PC or servers mesh
*AAS cloud
Virtualization &
Distributed
Computation
network topologies
microservices
B
TCP/IP stacks
messaging
queues
network topologies
cache engine
DB engine
data warehouse
Virtualization,
Sharding,
Replications,
Hot Data

3. AVAILABLE SOLUTIONS
END USER FRONTEND HANDLING BACKEND APPLICATION AND SERVER SIDE HANDLING DATA AND STORAGE HANDLING
microservices
A
TCP/IP stacks
messaging
queues
owned data center
peer’s PC or servers mesh
*AAS cloud
Virtualization &
Distributed
Computation
network topologies
microservices
B
TCP/IP stacks
messaging
queues
network topologies
cache engine
DB engine
data warehouse
Virtualization,
Sharding,
Replications,
Hot Data
Frontend
Network
stacks
data
pipeline
patterns
data
transport &
serialization
Service/app
Delivery
Management
Distributed
Infrastructure
Management
Data
Queues and
Caching
Data
Integration
Data and
Storages
Frontend
Apps

4. WHETHER 500 FORTUNES COMPANIES OR GROWING STARTUPS
TODAY’S DATA HAS NEVER ENDING EDGES

5. Frontend
Network
stacks
data
pipeline
patterns
data
transport &
serialization
Service/app
Delivery
Management
Distributed
Infrastructure
Management
Data
Queues and
Caching
Data
Integration
Data and
Storages
Frontend
Apps
Data and
Storages
A LOT OF STACKS, ENGINES, SERVICES, APPLIANCES….
USE OPEN SOURCE SOLUTIONS? USE LICENSED CLOSE MODEL SOLUTIONS ?
PREPARE MORE MONEY ..PREPARE HUGE TEAM
CHAINING EACH SLA SYSTEM HOW IF MORE CUSTOM REQUEST NEEDED

6. Frontend
Network
stacks
data
pipeline
patterns
data
transport &
serialization
Service/app
Delivery
Management
Distributed
Infrastructure
Management
Data
Queues and
Caching
Data
Integration
Data and
Storages
Frontend
Apps
Data and
Storages
TURNS CAPEX INTO VARIABLE OPEX ? : USE CLOUD SERVICES
BUT STILL..
PREPARE HUGE TEAM
CHAINING EACH SLA SYSTEM
BEWARE UNPREDICTED CLOUD THROUGHPUT COSTS

7. THERE ARE 7 ASPECTS INCLUDED AT ALL
• QUEUES : messaging patterns in data movement and dynamic event
• SCALABILITIES: infrastructure side (containers, networks, storages)
• INTEGRATION: capture, orchestrate, expose data from anything to everything
• COMPUTATION : query, deep analysis , clean, reform, transact, advanced math
• DATA STORAGES : ACID, hot data, and speed.. it’s always a mandatory
• NETWORK STACKS : all services must be inline with their network stacks
• PROGRAMMABLE : even network services must be programmable

8. WE CALL IT 7 FEATURES

9. USE
1. To setup all 7 features in one engine
2. To enabling all features from ARM embedded devices into large scale virtualization
containers
3. To expose all features as microservices you already know (REST, ISO8583, AVRO..) or..
4. Build own microservices model or event kind of data services protocol
5. Connect directly a lot of data sources without middleware between us
6. To build all features with programming language you know (Python, Java, PHP, NodeJS,
Cmake it embeddable to existing environment

10. READY DISTRIBUTED COMPUTING FEATURES INCLUDING..
GISWRANGLINGTRANSACTION
GIS SCIENTIFIC STRINGS
ERLANG’S ALIKE FUNCTIONAL CHAINING ON DATA ITERATION:
Pairs():
drop_while(function(x) x > before_yesterday end):
map(function(x) compare(x[2],x[3]) end):
cube(AROUND)
GRAPH’S PREGEL

11. AUTO QUEUES EVENT LOOP FRAMEWORK
UDPTCPHTTP
DNS
WANNA BUILD OWN RADIUS SERVER? DNS BINDING?...
ALSO CAN MANAGE PACKET FILTERING

12. PROGRAMMING BINDING

13. BENEFITS
1. If you have already has corporate services or application.. reduce the pain a lot and
scale out easilybuild new opportunities faster significantly
2. Integrates, reforms, repackages data, application, and any external different services into
microservices or create your own protocols
3. Adaptive all 7 features modeling, from complex mesh network stack services or handling
billion transaction switching
4. Multi device UI Native application with python’s kivy for kiosk, industrial panel, desktop
apps and mobile app including ios and android

14. HOW TO START ?
Vagrant and Docker instance
ARM and Intel Edison
Get the code at
https://github.com/wprayudo/bee
Rump Kernel image
Desktops, AWS, VPS, Rackspace,…
Get it..
It’s BSD license

15. SCALABILITY ?
Bee
instance
Bee
instance
Bee
instance
Bee
instance
Bee
instance
Bee
instance
Plug bee instance anywhere, and bee
will analyze possible infrastructure first
about
1. available networks,
2. computation capability,
3. queues handling structures, and
4. storage options
Bee has 6 available default service
pattern * :
1. Push-Pull,
2. Pub-Sub,
3. Request-Response
4. Bus
5. Pair
6. Discovery
So any bee based services can do
solution as close as possible with
network stacks topologies
Switcher : is feature to enabling
different patterns, and 7 features can
use different patterns per switch
* : we also can build more patterns as you want

16. JSON
AVRO
SCHEMA
XML
ISO
8583
YAML
BINARY’S
MSGPACK
DIRECT
MYSQL +
PGSQL
LAIN
TEXT
YOUR
OWN
PROTOCOL?
PATTERNS FOR MICROSERVICES DATA FORMAT
OUR DEFAULT BUILD YOUR OWN

17. Push
notification
service
Database
Shard and
Replica
Monitoring
Service
Service
Handlers
Data Access
Layer
Metric
Collector
Load
Balancer
Global
Service
Registry
Log
Aggregator
PATTERNS ARE NOT LIMITED TO ..
Heartbeat

18. ‘serverless’ infrastructure paradigm
(how AWS looks like in 2017?)
Unikernel vs Containers :
Picture taken from
NewStack, by Docker

19. Ycombinatorers talk about this “THE NERVE” movie
“ system creates application instance per USER REGISTRATION, then build all stacks on it,…
NOT ONE FAULT MONOLITHIC SERVER APP” ...’nerve mesh net admin’ “

20. A PROPOSAL 1:
trade protocol services

22. It’s like SWIFT & FIX for
commodity trade that
involve logistics industry..
But it’s quite different when
it’s built with bee

23. End to end commodities handling protocol
A
B
D
C
E
F
G
COMMODITY IS INTERCONNECTED NODES WITH
UNIQUE PROPERTIES, ATTRIBUTES, AND
BEHAVIOUR AS IN SOCIAL NETWORK, IT HAS
NEVER ENDING CHANNELS AND CAN BE
TRANSFORMED AS NEW COMMODITY..IT ALWAYS
VIBRATE.
THE MAIN URGE ARE ADAPTIVE LOGIC IN
MARKETING, LOGISTICS, AND AFTER SALES

24. HOW IT WORKS
Commodity
A
Commodity
B
Commodity
C
edges
OUR SYSTEM PROVIDES HANDLING STRUCTURE
FOR MARKETING, FULFILLMENT AND
SUPPORT/RETURNS AT EACH COMMODITY .
EACH HANDLING CONTAINS “EDGES” FEATURE,
WHICH PROVIDES ANALYTICS, PLANNING, AND
MONITORING BETWEEN TWO “NODES” (EACH
NODE REPRESENTS COMMODITY)
EVERY NODE THEN CAN DO DEPLOYMENT AND
EXECUTION FOR ITS BASED HANDLING
STRUCTURE WITHIN EDGE AGGREGATION
aggregates

25. CORE SYSTEM
EDGE(S) CAN ACCESS ALL BEE COMPUTATION ENGINE FEATURES, FROM IOT PERIPHERAL, BIG
DATA COMPUTATION LIKE MAP, REDUCE, SEARCH AND SLICING, GIS, ISO 8583 PROCESSING,
AND ANALYTIC PROCESSING  BETWEEN TWO NODES
AGGREGATION CAN ACCESS AS LIKE IN EDGES CAPABILITIES BETWEEN ALL NODES
HANDLING STRUCTURE IS A MESSAGING STRUCTURE MANAGED BY BEE NOSQL DATABASE
SYSTEM. IT HAS ALL BEE DISTRIBUTED SYSTEM FEATURES IN HANDLING HUGE TRAFFICS.
NODES CONTAINS ALL DATA ABOUT COMMODITIES DATA, INCLUDING GEO PROFILE, AND
EVERY DATA DETAILS FROM ITS HANDLING STRUCTURE.

26. ALL HANDLING STRUCTURES, EDGES AND AGGREGATIONS ARE
SHARING ECONOMY CAPTIVE BUSINESSES
THE BUSINESS :
Marketing
Strategy
Fulfillment
Strategy
Complains
&
Returns
Quality
Assurance
Financial
Service
Scheme
which means…. any corporates, startups, regulatories who build
apps/services with bee’s trade protocol platformwill trigger benefits
to whom own the protocols maintainers

27. SPECIAL FEATURE : A CONTRACT SYSTEM

28. CONTRACT FEATURE
A HANDLING STRUCTURE FORMAT TO BUILD SHARING ECONOMY MODEL OF
SEQUENTIAL SERVICES AMONG PARTNERS AND PROVIDERS
BENEFITS
• SHARE COST AND RISKS ESPECIALLY AT FULFILLMENT AND RETURNS
• IMPROVE DELIVERY PERFORMANCE BY SPECIALTY GROUPS WHOSE HANDLE SPECIFIC
COMMODITIES
• EASY MARKET AND TERRITORY EXPANSION
• MANAGE SERVICE PRIORITY AND MINIMIZE OCCUPATION INVESTMENT
• MINIMIZE SLA COST BY ENABLING CONTRACT SWITCHING AMONG BROKERS OR
PROVIDERS

29. HOW CONTRACT WORKS
PROVIDER
PROVIDER
PROVIDER
PROVIDER
SPECIFY
COMMODITIES LIMITATION,
ROUTES AND FEE MODEL,
&
TERITORIAL
DISCOVERED INSIDE
EDGE AGGREGATION
HANDLING STRUCTURE
THIS IS MESSAGING PATTERN,
WILL NOTIFY ALL PROVIDERS
OR BROKERS
ASSIGNED BY ITS CONTRACT
A contract data & event message
TO
EDGE AGGREGATION

30. CONTRACTS EXAMPLES
BANKS
RPH*
VEHICLES
BAWL
SALES
SPECIFY
SERVICE SEQUENCES FROM
RPH TO LAST MILE (BAWL
SALES)
DISCOVERED INSIDE
ALL PARTIES’S UI ABOUT MEAL’S
SUPPLY CHAIN
ALL INFOS WILL BE NOTIFIED TO
EACH OTHER, AND BANK
PARTNERS CAN LEVERAGE
FINANCIAL SERVICES AMONG
THEM
A contract data & event message
ALL TRIGGERED RISKS
WILL BE MANAGED
AND PROCESSED IN
INSURANCE SYSTEM
*Rumah Pemotongan Hewan
All providers must be community

31. BEE INSTANCE(S) WITH UNIKERNEL INFRASTRUCTURE EVERYWHERE

32. BEE WILL PROVIDES READY TO USE DEVELOPMENT CONTAINER AND ROUTING TO
GENERATE UNIKERNEL INSTANCE FOR ANY TENANT, STARTUPS AND CORPORATES
BEE WILL PROVIDES POPULAR PROGRAMMING LANGUAGE BINDING TO SIMPLIFY
DEVELOPERS CREATE LOGISTIC BASE APPS
BEE OFFERS NETWORK AND CLOUD PROVIDERS TO GAIN MARKET BIGGER WITH LOGISTICS
BASE SOLUTION AT END TO END
NETWORK AND CLOUD PROVIDERS TRIGGER COMMUNITIES TO DEPLOY THEIR SOLUTION
TO THEIR SERVICES

33. A PROPOSAL 2:
bee mesh data pipeline

34. Multi network sources Unlicensed Wireless access point

35. Discoverable mesh wireless data pipeline services
A
B
D
C
E
F
G
IN SUPPORTING TRADE PROTOCOL BASED SERVICES,
MANY NODES ACT DIFFERENT ROLES SUCH AS
TRANSACTION SERVICE, AS FULFILLMENT TRANSITION, AS
POINT OF SALES.. WITH EACH COMMODITY UNIQENESS
HANDLING
TODAY, EACH NODE CONSUMES DATA PIPELINE BY THEIR
OWN SUBSCRIPTION, AND LACKS SERVICE BARRIER
BECAUSE OF RURAL AREA AND INTER ISLANDS ISSUES, SO
THAT ARE NOT DISCOVERABLE AND GAIN LOSSES

36. HOW IT WORKS EACH BEE INSTANCE OFFERS SOFTWARE DEFINED
NETWORKING (SDN) ENGINE .
ANY WIRELESS ACCESS POINT THAT CONNECT TO ITS
HUB WHICH PROVIDES MULTI NETWORK ACCESS THAT
INCREASE AVAILABILITY UPTIME CONTAINS SDN
SERVICES FROM BEE INSTANCE TO BE DISCOVERABLE
TO CPE’S NODE(S)
SO THAT->EACH NODE (RETAILERS, BRANCHLESS
FINANCIAL PROVIDERS,..ETC) WHO USE BEE INSTANCE
IN THEIR APPS CAN CONSUME DATA PIPELINE..
Multichannels
spread spectrum
Long wave radio
packet (e.g UHF)
Broadband
wireless network
access services

37. WHERE EVER BEE SDN BE AVAILABLE
WHERE EVER BEE SDN BE AVAILABLE

38. ANY NEIGHBORHOOD CONTAINS BEE INSTANCES THAT MUST
CONSUME SLA DATA PIPELINE SERVICES
THE BUSINESS :
Wireless
Access Point
(by range)
Open IOT
opportunities
Utilize
unused oil
company’s
licensed
Data packet
Which can trigger…. data pipeline services fulfillment at wide scale
rangecan be triggered faster by  sectoral data pipeline
infrastructure investment offers

39. BEE WILL PROVIDE SDN INSTANCE AT WIRELESS ACCESS POINT’S HUB WHICH CONNECT TO
MULTI NETWORK ACCESS PROVIDERS SOURCES
BEE WILL PROVIDE METRICS, PROVISION CONFIGURATIONS, AND DATA ACCESS LAYER
MONITORING TO NETWORK PROVIDERS AS MICROSERVICES
BEE OFFERS SECTORAL INVESTMENT AND CROWD-FUND MODEL INVESTMENT IN DATA
PIPELINE SERVICES
NETWORK AND CLOUD PROVIDERS TRIGGER MORE PROPER NETWORK FUNCTION
SERVICES

40. NEED FRONT-END LINERS
because we provide these too:

41. ADD-ON FOR
FRONT DEVELOPER

42. FOR RESTFUL
FANATICS
• NO LOAD BALANCER NEEDED
• NO RABBITMQ/KAFKA/NATS NEEDED
• NO MORE CACHE ENGINE
• HOT DATA FROM BEE INSTANCE
• AUTO SHARD
• AUTO EXPOSE ANY BEE FUNCTION AS HTTPS://HOST:PORT/YOUR_BEE_FUNCTION/?...