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Beyond the POC 
Adopting NServiceBus
Introduction 
Adam Fyles 
Solution Architect 
Using NSB since v1.9 
NServiceBus Champ 
Upstate NY, US 
Contact Info 
adamfyles.blogspot.com 
afyles@gmail.com
The tablescape 
Regional Grocery Retailer 
- Wine & Spirits 
- Restaurants 
90+ Stores in 6 states 
Millions of customers 
Medium to large IT department (~250) 
Extremely high volume stores
Let me in! 
Lots of competitive products, why 
do we need another one? 
Batch jobs work just fine! 
Lack of SOA understanding 
Operations used to FTP
The progression 
Pub/Sub Sagas 
Point to 
Point 
Load 
Balancing
Load Balancing: OMS 
Determines how to best source product in the supply chain based on demand 
Inherently batch based due to wave planning in either WMS or MFG 
Requires massive throughput (by order line item) in a tight window 
No commercial system could do it without heavy custom configuration and a 
ridiculous amount of hardware 
Team was experienced PowerBuilder developers
Solution Solution was to decompose orders and 
optimize by distribution “network” 
Run aggregate demand through with 
the Distributor 
Distributor 
Worker 1 Worker 2 
DB 
WMS 
Transportation 
Publish 
Orders 
Order 
Entry 
Order 
Entry 
Order 
Entry
Distributor Demo
Master Data Forecasted Orders 
Store 
Supply Chain Proliferation 
Corporate 
Purchased 
WMS 
Integration Endpoint 
HTTP 
DataBus 
Purchased 
CAO 
Other Systems
DataBus Customization Demo
Takeaways… 
Replaying messages!! 
Required more DevOps 
MSDTC Tricks 
Stay inside the stack
Point 2 Point: Mobile 
Built an entire REST API around all of our Marketing tools 
Products 
Recipes 
Shopping Lists 
Online Ordering 
Search 
Ratings and Reviews 
It must be fast and durable!
Request/Response is not an option
Mobile Solution 
Solution was point to point integration to backend systems of record 
Flaky 
DB 
Mobile 
API 
View Model 
Reads 
Writes 
Web 
3rd Party 
Writes NSB
Customer Facing Proliferation 
API 
Reads 
RX Portal 
Offisite 
Vendor RX System 
Writes NSB Writes 
Customer 
Care 
RX Service Desk
Custom Fault Manager Demo
Takeaways… 
Asynchronous performs well 
Messaging trumps fragile backends 
Leverage local resources
Pub/Sub: Pricing 
Legacy Mainframe System 
Lots of price changes 
Wide Distribution Network 
All Stores – POS, Scales, Signs 
Online – Web, mobile, email
Legacy Integration 
Find the weak point where you can 
enter the host
Solution 
DB 
Publisher 
Mobile Email Web 
Signs 
Scales 
POS 
Mainframe 
CDC
Workflow: Benefits Registration 
Series of questions 
Plan selection 
Open window of 
opportunity
Solution 
Step 1 
Step 
2 
Step 
3 
SharePoint Site 
NServiceBus 
Saga Storage 
Reporting 
Metrics
Takeaways… 
Don’t reinvent the wheel 
Focus on business process
Sum it up!
Efficiency
Focus

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Beyond the POC: Adopting NServiceBus

Editor's Notes

  • #5: Talk about how we had to unexpectedly sell the concept of an ESB (an open source one at that) all the way to the CIO What did it? Simplicity, standards. Development first - .NET. Very batch, procedural mindset had to be overcome Painful integration .NET Shop Training
  • #6: We’ve had a somewhat “backwards” progression through the platform My guess it would be typical to start with P2P -> Workflow -> Pub/Sub -> Load Balancing -> Workflow + Pub/Sub
  • #8: Talk about any tweaks we made like clustering services, where MSDTC was positioned We reached a cap on the number of workers due to database constraints
  • #13: We have very unstable storage for shopping lists
  • #14: If we had done Request/Response everything would have come to a halt with load We also would not have done well with the flaky system of record
  • #15: Having local resources allowed us to separate reads from writes (NOT FULL CQRS)
  • #20: Expose endpoint as web service Detect database changes Wire tap existing messaging infrastructure
  • #21: Email Marketing Web Site Mobile Apps Consumer Affairs
  • #26: Platform allows for the logical division of work Cleans up monolithic code
  • #27: Platform takes care of the mechanics so you can focus on business process