SlideShare a Scribd company logo
Managing Microservices
with Neo4j
Rob Schoening
Ashley Sun
Overview
• Intro
• MacGyver + Neo4j
• Use Cases
• Q&A
• World’s largest online credit marketplace
– Peer-to-peer personal loans
– Small business loans
– Medical financing
Micro Services
All the cool kids are doing it…
…and it makes complex software
easier to write and maintain
A long, long time ago…
2 years ago…
We ran 5 production services…
Now we run…
139
That’s a lot of stuff to manage!
Continuously!
How do we do it?
Excel
Excel
Just Kidding
Neo4j, of course!
So, like, seriously,
how do we do it?
MacGyver
What is MacGyver?
“Is that like MacGruber?”
What is MacGyver?
“Is that like MacGruber?”
No, but it’s on GitHub!
MacGyver provides…
• What we can’t easily accomplish with Jenkins
• API Integration
• A batch scheduler
• Data aggregation
• An extensible UI
• Tools for engineering, operations, infosec, QA
and finance
• Performs monitoring and alerting
Integrations
MacGyver
+
Neo4j
MacGyver
+
Neo4j
Jenkins
GitHub
Load Balancer
Pager Duty SAN Storage
MacGyver
+
Neo4j
Jenkins
GitHub AWS
Jira
Confluence HipChat
Active Directory
Pager Duty
New RelicLoad Balancer
Pager Duty SAN Storage
Graphite
MacGyver
+
Neo4j
Jenkins
GitHub AWS
Artifactory
Jira
Confluence HipChat
VMWare
Active Directory
Pager Duty
New RelicLoad Balancer
Pager Duty
Catchpoint
SAN Storage
Graphite
Splunk
Why Neo4j?
• Perfect for capturing/modeling
interdependencies
• Cypher’s ad hoc query capability can’t be beat
• Easy to extend, build more relationships and
layers incrementally
• JSON native, FTW
How Does DevOps at
Lending Club Use Neo4j?
1. App check-in/service discovery
2. Deployment and release automation
3. Infrastructure mapping
How Does DevOps at
Lending Club Use Neo4j?
1. App check-in/service discovery
2. Deployment and release automation
3. Infrastructure mapping
App Check-In/Service Discovery
Problem:
Keeping track of many rapidly-changing services
Solution:
All app servers phone home to MacGyver and
are stored in Neo4j as ‘App Instance’ nodes
App Check-In/Service Discovery
Neo4j
App
Instance
App
Instance
App
Instance
MacGyver
App Check-In/Service Discovery
MacGyver
Neo4j
App
Instance
App
Instance
App
Instance
<<REST>><<REST>>
App Check-In/Service Discovery
Real time database of deployed infrastructure
New services get auto-discovered by MacGyver
Low maintenance
Easy scalability
Low latency ad hoc query capability
App Check-In/Service Discovery
“Show me all the instances of app X
in environment Y”
How Does DevOps at
Lending Club Use Neo4j?
1. App check-in/service discovery
2. Deployment and release automation
3. Infrastructure mapping
Deployment and Release Automation
Problem:
Highly manual and tedious releases
Difficult to answer questions like:
– What pool should I deploy to?
– Is the most recent revision ‘live’ right now?
– Are live pool revisions in sync in different
environments?
Deployment and Release Automation
Solution:
Utilize app check-ins and Neo4j to expose info
about live and dark pools, enabling us to
automate deployments in a release
Deployment and Release Automation
• Blue-green deployment
Server 1
Server 2
Server 3
Server 5
Server 4
Server 6
Server 7
Server 8
Service Group
“Live” Pool “Dark” Pool
Deployment and Release Automation
• Blue-green deployment
Server 1
Server 2
Server 3
Server 5
Server 4
Server 6
Server 7
Server 8
Service Group
Deployment and Release Automation
• Blue-green deployment
Server 1
Server 2
Server 3
Server 5
Server 4
Server 6
Server 7
Server 8
Service Group
“Draining” Pool “Live” Pool
Deployment and Release Automation
• Blue-green deployment
Server 1
Server 2
Server 3
Server 5
Server 4
Server 6
Server 7
Server 8
Service Group
Pool Cut-over
App Instances
MacGyver
Neo4j
<<update app instance>>
MacGyver
Virtual Servers
MacGyver
Neo4j
Load Balancer<<REST API Polling>>
Virtual Servers
MacGyver
Neo4j
<<update virtual server>>
Load Balancer<<REST API Polling>>
Application Pools
Virtual Service
Deployment and Release Automation
Problem:
Highly manual and tedious releases
Difficult to answer questions like:
– What pool should I deploy to?
– Is the most recent revision ‘live’ right now?
– Are live pool revisions in sync in different
environments?
Deployment and Release Automation
“What pool should I deploy to?”
Deployment and Release Automation
“Are live pool revisions in sync in different environments?”
Deployment and Release Automation
“Do multiple revisions exist within a single pool?”
Deployment and Release Automation
“Do multiple revisions exist within a single pool?”
Think about the Knight Capital meltdown in 2012!
App
Instance
App
Instance
App
Instance
App
Instance
Deployment and Release Automation
MacGyver
Neo4j
Load Balancer
<<PUT>>
<<REST API>>
<<REST API>>
How Does DevOps at
Lending Club Use Neo4j?
1. App check-in/service discovery
2. Deployment and release automation
3. Infrastructure mapping
“Are any servers in a live pool degraded?”
“Do we have a single point of failure
among any of our services?”
“If storage volume #3 goes down,
what services will be impacted?”
Other Use Cases
• “Are servers in the correct security zones?”
• “What is the correct AWS VPC placement for
this application?”
• Deliver abstraction across multiple Load
Balancer implementations
• etc.
For More Info
• https://github.com/if6was9/macgyver
• https://macgyver.readme.io
• https://github.com/if6was9/neorx
• Ashley Sun – asun@lendingclub.com,
@ashleycsun
• Rob Schoening -
rschoening@lendingclub.com, @rschoening
Questions

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Managing Microservices with Neo4j

Editor's Notes

  1. New way of designing and structuring software applications as suites of independently deployable services