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SOLVING SCALABILITY PROBLEM
BY CONVERTING MONOLITH APPLICATION
INTO MICROSERVICES USING GCP
Artem Nikulchenko
CSA, TEAMWORK COMMERCE
Our product has been positively appraised by 200+ clients in 9
countries: the USA, Canada, Mexico, Brazil, Japan, the UK, Peru,
China, and France. In 2019-2020, we expect Teamwork
Commerce Suite to be introduced in 20 more countries.
Database
IPAD POS
.NET
MS SQL
Server
Scheduler
Client /
Presentation
Tier
3-tiers .NET architecture3-tiers .NET architecture
Application
Tier
Application
Compute Engine
Secondary Replica
Compute Engine
Secondary Replica
Compute Engine
Primary Replica
Compute Engine
Scheduler
Compute Engine
Application
Compute Engine
Application
Compute Engine
Cloud Load
Balancing
Scaling monolith applicationScaling monolith application
SQL Server AG
• OS overhead
• Scaling everything as «one package»
• Not much automation for VM scaling
• Slow VM start result in inability to react to load spikes
• What to do with a Scheduler?
• What to do with a DB?
Monolithic scale challengesMonolithic scale challenges
Containers and KubernetesContainers and Kubernetes
Virtualized Deployment
Hardware
Operating System
Hypervisor
Container Deployment
Hardware
Operating System
Container Runtime
App
Bin/Library
Container
App
Bin/Library
Container
App
Bin/Library
Container
Bin/Library
Operating System
App App
Virtual MachineVirtual Machine
Bin/Library
Operating System
App App
Traditional Deployment
Hardware
Operating System
App App App
Monolithic Application
Compute Engine
Monolithic Application
Kubernetes Engine
Converting VM into ContainerConverting VM into Container
identity
Kubernetes Engine
Secondary Replica
Compute Engine
Secondary Replica
Compute Engine
Primary Replica
Compute Engine
Scheduler
Compute Engine
Application
Compute Engine
data-sync
Kubernetes Engine
Cloud Load
Balancing
SQL Server AG
Separating monolith into micro-servicesSeparating monolith into micro-services
SQL
Compute Engine
Cloud Load
Balancing
identity-service
Kubernetes Engine
redis
Kubernetes Engine
redis
Kubernetes Engine
data-preload
Kubernetes Engine
data-preload-cron
Kubernetes Engine
data-sync-worker
Kubernetes Engine
data-sync-service
Kubernetes Engine
sync-cashe
Cloud Storage
74
35 6
12
8
Converting micro-services into micro-componentConverting micro-services into micro-component
cron
Kubernetes Engine
dispatcher
Kubernetes Engine
worker
Kubernetes Engine
worker
Kubernetes Engine
worker
Kubernetes Engine
Converting Scheduler into Cron-Dispatcher-Worker patternConverting Scheduler into Cron-Dispatcher-Worker pattern
Google Cloud Spanner
The first scalable, enterprise-grade, globally-
distributed, and strongly consistent database
service built for the cloud specifically to combine
the benefits of relational database structure with
non-relational horizontal scale.
 ACID transactions
 High Availability through synchronous replication
 Schemas
 SQL Queries (ANSI 2011 with extensions)
 Scale Horizontally
 Managed by Google
Micro Cloud SQL
User
Interface
Database
Microservice
Database
Microservice
Database
Microservice
Database
Microservice
Microservice
What about DB?What about DB?
 Organization challenges
Last but not least…Last but not least…
 Health monitoring
 Versions control
 Documentation (architecture)
Google Cloud
https://cloud.google.com/
Google Kubernetes Engine
https://cloud.google.com/kubernetes-engine/
Coursera «Architecting with Google Kubernetes Engine Specialization»
https://www.coursera.org/specializations/architecting-google-
kubernetes-engine
Google Professional Cloud Architect certification
https://cloud.google.com/certification/cloud-architect
teamworkcommerce.com
E-mail: an@cloudwk.com
Linkedin: www.linkedin.com/in/artem-nikulchenko/

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SOLVING SCALABILITY ISSUES BY CONVERTING MONOLITH TO MICROSERVICES

  • 1. SOLVING SCALABILITY PROBLEM BY CONVERTING MONOLITH APPLICATION INTO MICROSERVICES USING GCP Artem Nikulchenko CSA, TEAMWORK COMMERCE
  • 2. Our product has been positively appraised by 200+ clients in 9 countries: the USA, Canada, Mexico, Brazil, Japan, the UK, Peru, China, and France. In 2019-2020, we expect Teamwork Commerce Suite to be introduced in 20 more countries.
  • 3. Database IPAD POS .NET MS SQL Server Scheduler Client / Presentation Tier 3-tiers .NET architecture3-tiers .NET architecture Application Tier
  • 4. Application Compute Engine Secondary Replica Compute Engine Secondary Replica Compute Engine Primary Replica Compute Engine Scheduler Compute Engine Application Compute Engine Application Compute Engine Cloud Load Balancing Scaling monolith applicationScaling monolith application SQL Server AG
  • 5. • OS overhead • Scaling everything as «one package» • Not much automation for VM scaling • Slow VM start result in inability to react to load spikes • What to do with a Scheduler? • What to do with a DB? Monolithic scale challengesMonolithic scale challenges
  • 6. Containers and KubernetesContainers and Kubernetes Virtualized Deployment Hardware Operating System Hypervisor Container Deployment Hardware Operating System Container Runtime App Bin/Library Container App Bin/Library Container App Bin/Library Container Bin/Library Operating System App App Virtual MachineVirtual Machine Bin/Library Operating System App App Traditional Deployment Hardware Operating System App App App
  • 7. Monolithic Application Compute Engine Monolithic Application Kubernetes Engine Converting VM into ContainerConverting VM into Container
  • 8. identity Kubernetes Engine Secondary Replica Compute Engine Secondary Replica Compute Engine Primary Replica Compute Engine Scheduler Compute Engine Application Compute Engine data-sync Kubernetes Engine Cloud Load Balancing SQL Server AG Separating monolith into micro-servicesSeparating monolith into micro-services
  • 9. SQL Compute Engine Cloud Load Balancing identity-service Kubernetes Engine redis Kubernetes Engine redis Kubernetes Engine data-preload Kubernetes Engine data-preload-cron Kubernetes Engine data-sync-worker Kubernetes Engine data-sync-service Kubernetes Engine sync-cashe Cloud Storage 74 35 6 12 8 Converting micro-services into micro-componentConverting micro-services into micro-component
  • 10. cron Kubernetes Engine dispatcher Kubernetes Engine worker Kubernetes Engine worker Kubernetes Engine worker Kubernetes Engine Converting Scheduler into Cron-Dispatcher-Worker patternConverting Scheduler into Cron-Dispatcher-Worker pattern
  • 11. Google Cloud Spanner The first scalable, enterprise-grade, globally- distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with non-relational horizontal scale.  ACID transactions  High Availability through synchronous replication  Schemas  SQL Queries (ANSI 2011 with extensions)  Scale Horizontally  Managed by Google Micro Cloud SQL User Interface Database Microservice Database Microservice Database Microservice Database Microservice Microservice What about DB?What about DB?
  • 12.  Organization challenges Last but not least…Last but not least…  Health monitoring  Versions control  Documentation (architecture)
  • 13. Google Cloud https://cloud.google.com/ Google Kubernetes Engine https://cloud.google.com/kubernetes-engine/ Coursera «Architecting with Google Kubernetes Engine Specialization» https://www.coursera.org/specializations/architecting-google- kubernetes-engine Google Professional Cloud Architect certification https://cloud.google.com/certification/cloud-architect teamworkcommerce.com E-mail: an@cloudwk.com Linkedin: www.linkedin.com/in/artem-nikulchenko/