AWS Dev Day Kyiv 2019 Track: Backend & Architecture Session: ""Architecting SaaS solutions on AWS"" Speaker: Oleksandr Mykhalchuk, Director of DevOps & Cloud Services at Softserve Level: 300 Video: https://youtu.be/3lKoe-ts8Qs AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services. Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!  Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine

1. ARCHITECT
YOUR
SAAS
Oleksandr Mykhalchuk

2. WHOAMI
SAAS YEARS IN THE
INDUSTRY
13
YEARS IN DEVOPS
7
YEARS AS ARCHITECT
4
PROJECTS IN PROD
12+
3 2
PROD DESIGN

3. EXPECTATIONS
MONEY
TIME

4. TECHNOLOGY IS NOT EVERYTHING

5. DON’T BE AFRAID TO FAIL

6. LEVEL SET 300
100
200
300
400
Reality
Level
100
200
300
400
AWS’s Expectations
Level

7. WHAT TO EXPECT?
General
concepts
Decisions
&
Tradeoffs
Real Project

8. WHY SAAS?
Business
Needs
Economies Of
Scale
Operability

9. COMMON SAAS PATTERNS IN AWS
SILO BRIDGE POOL

10. WHAT EVERY SAAS IS BUILD OFF?
APPLICATION OPERATIONS
Tenant
Isolation
Data
Partitioning
Identity
& Access
Management &
Operations
Profiling &
Optimizing
Billing &
Metering
Deployment &
Integration

11. CHOOSING TENANT ISOLATION
• Segregation across tenants
• Application scalability across tenants
• Level of tenant-specific customizations
• Cost of Deployment
• Operations and management efforts
• Tenant metering and billing

12. TENANT ISOLATION IN AWS
PROS CONS
AWS Account Layer Complete Isolation ++ Economy of scale --
Managing accounts --
Onboarding / Scaling --
VPC Layer Economy of scale +
Billing(Tags) +
VPC Limits -/--
Networking(VPN) -
VPC Subnet Layer Networking* + VPC Limits (NACL,CIDR, Routing, SG) ---
Container Layer Containers +
Resource utilization +
Containers -
Custom billing -
Application Layer Economy of scale ++
Resource utilization ++
Simplified operations +
Solution Architecture Design –
Security compliance +/-
Serverless Isolation +
Resource utilization +++
Operations ++
Solution Architecture Design –-

13. ISOLATION DECISIONS
Existing
Enterprise App
Microservices-
heavy App
Container
Layer
Application
Layer
Serverless
Layer
New
Product

14. FINDING YOUR TENANT MODEL
YOUR SAASPOOL
• SECURITY
• BUSINESS

15. DATA PARTITIONING
Separate database
per Tenant
Single database,
Multiple schemas
Shared database,
Single schema
POOLSILO BRIDGE

16. DATA PARTITIONING TRADEOFFS
Silo Model Bridge Model Pool Model
Pros
• Compliance alignment
• No cross-tenant impacts
• Tenant-level tuning
• Tenant-level availability
Cons
• Compromises agility
• Centralized management
• Deployment complexity
• Cost
Pros
• Agility
• Cost optimization
• Centralized management
• Simplified deployment
Cons
• Cross-tenant impacts
• Compliance challenges
• All or nothing availability

17. DATA PARTITIONING STRATEGY
POOL YOUR SAAS
• SECURITY
• TECHNOLOGY
• BUSINESS

18. IDENTITY & ACCESS
Tenant
Access
Tenant Provisions Security & Isolation Injecting Tenant Context

19. IDENTITY & ACCESS
On-Boarding
a Tenant Domain
Provisions
SSL
Certificate
New Tenant
On-Boarding
Identity
Broker
Tenant
Identity
Provider
Tenant
Management
Billing
Tenant
IAM Policy

20. THERE IS NO SILVER BULLET
• Outsource identity management
• Choose identity stores and protocols wisely
• Use identity brokers
• Keep User Data at minimum
• Avoid old or aging protocols (SAML 2.0)
• Automate role and policy provisioning

21. THE OPERATIONAL PART. BRIEFLY

22. MANAGEMENT & OPERATIONS
• Distributed system
metrics
• In-app performance
view
TESTING
• Tenant-onboarding
• Cross-tenant impact
• Tenant isolation tests
• Tier Boundary testing
• Maintenance &
Troubleshooting
Shared layers
OBSERVATION MAINTENANCE

23. PROFILING & OPTIMIZING
Tenant
Experience
Tenant
Policy
Data
Partitioning
Load/Cost
Optimization

24. PROFILING & OPTIMIZING
• Data & Metrics are vital
• Look at “busy” tenants first
• Identify general patterns, profiles and trends
• Flexible Data Distribution (Sharding Manager, 2 Layer Sharding)
• Centralized Tenant Policies Management strategy
• Service Granularity helps
• Data Analytics is your best ally

25. BILLING & METERING
Metrics
Matter
Isolation models
define Cost-
tracking strategy
Knowing your
Cost-per-Tenant
early is crucial
Flexible Tier
models attached
to Tenant Policies
Managed Services
make it simpler

26. DEPLOYMENT & INTEGRATION
Impact of Multi-Region & Hybrid SaaS Deployment Models
• Tenant Onboarding
• Identity routing
• Monitoring & Billing
• Deployment automation & release strategy
• Network Impact

27. Private Link & VPC Endpoints
DEPLOYMENT & INTEGRATION
1 2Public Internet

28. DEPLOYMENT & INTEGRATION
3 4 MarketplaceThird-Party Integrations

29. CHALLENGES THAT MANY OVERSEE
Data
Migration
Tenant
Onboarding
Automation
Data Evolution
Strategy
Database
Hot Spots
Scaling
Data Layer

30. PROJECT
A niche communication platform for a financial sector
that provides secure messaging, bots and integration
with other platforms.
• Each customer has own “Silo” under AWS Account
or VPC
• Lots of OPS thinking instead of DevOps
• No automatic Scalability
• Costs

31. GOALS
Primary
• Automated Customer Onboarding
• Multi-tenant SaaS Platform
• Cost efficiency
• Availability
• Operation Efficiency
Secondary
• Evolved Microservice Architecture
• Decoupled Releases & Independent
Component Deployment
• Focus on Managed Services
• Time-to-market
2 Days 10 Minutes
10-1000 Tenants
2-5x Cost-per-Tenant
99.9-99.95%

32. CHALLENGES TRANSFORMING
EXISTING SILO APP
• Re-architecting efforts vs Value
• Security pushback
• Fear of change

33. DECISIONS MADE
Microservices
Mongo
MS SQL
Hadoop + Spark
Overall
Container Layer Tenant Isolation with ECS
SaaS Model BRIDGE /w shared Service and Persistence Layers
DynamoDB /w Shared Database(Table), Single Schema
RDS PostgreSQL /w Single Database(s), Multiple Schemas
EMR
Max out usage of Managed Services*
Legacy (Solr, Cache) ASG + HealthChecks

34. COST SAVING ON CHANGING DB ENGINE
Develop
Migrate
Operation
200
150
100
50
1 2 3 4 5+
8x db.r4.2xlarge Reserved 1 Y All Upfront
MS SQL Enterprise 53200 USD/month
PostgreSQL 6300 USD/month
Monthly savings 46900 USD/month
20
NET Gain 3 Years
$ 730k+

37. TENANT
ISOLATION IN
ECS
"placementConstraints": [
{ "expression": "task:tenant == TenantID",
"type": "memberOf"
} ]
• Shared ECS Instances
• Dedicated Tenant ECS
Instances (ECS Instance
Attribute)

38. LESSONS LEARNED
• Rotate ECS instances weekly
• Automate Tenant Policy update process
• You should be able to “freeze” a separate microservice/stack version in
deployment without affecting the rest
• SignalFx, CloudWatch and ELK are your best friends
• Scaling Persistence Layer with non-cloud-native components is fun
• Complex CloudFormation Stack Updates is even more fun
• Deleting CloudFormation Stacks in the active PROD is the ultimate fun

39. THINGS I WOULD HAVE DONE
DIFFERENTLY NOW
More Serverless More Global
Lambda Aurora
Serverless
EKS DynamoDB
Global Tables

40. LAST WORDS
• Know your SaaS patterns
• Always start with the best model
• Make informed tradeoffs
• Data is your key to success

41. Q&A

42. AND YES,
WE ARE
HIRING!