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October 27, 2018
Vinaya Thimmappa
Eco-System Services
Department.
Rakuten, Inc.
2
3
• Businesses in single region
• Single Data Center
• Application running on VM’s
• Single Enterprise Database
• No multi-tenancy
Picture Credit : http://capitalsource.us
4
• Businesses multiple region
• Multiple & Hybrid Data Center
• Dockerized application
• Database in multiregion
• Multi-tenancy
5
Cloud Native
• High Availability (99.99%)
• Dynamically managed
• Containerized
• Platform agnostic
• Write once and deploy across regions
• Reduce operating cost
• Easy maintenance.
• Multi-tenancy
• Elastic scaling
Cloud Enabled
• Originally developed for deployment in a
traditional data center
• An application that was moved to cloud,
• Some characteristics of the application had
to be changed or customized for the cloud
6
Latency of services
The picture can't be displayed.
Multi region deployment [
CI/CD ]
The picture can't be displayed.
Database Synchronization
The picture can't be displayed.
Observability
The picture can't be displayed.
Resiliency
7
Challenges Opportunities
8
Cloud service latency is the delay between a client request and a cloud service provider’s
response.
• Higher application response time
• Application SLA gets impacted
• Delay in synchronization b/w data
center
• Delay in arrival of help from other
services
Challenges
• Go closer to customer
• Install application in datacenter with
less latency b/w regions
• Avoid multiple round trips to
services in application
• Define clear SLA from various
services and its support
Solutions
9
Automated mechanisms for deployment and rollback
The
pictu
re
can't
be
displ
aye…
The
pictu
re
can't
be
displ
aye…
The
pictur
e
can't
be
displa
yed.
Challenges
• Deploying in all region at the same
time
• Maintenance of code for each region
is tedious
• One release version for all regions
• Understand region specific business
peak hours
• Build region specific deployment
pipeline
• Have region specific flags for region
specific functionality
Solutions
10
High performance, Active-active data replication, High availability of data, Cost-
effective , Consistency Challenges
• Muti-Region Sync brings down
QPS
• One region DB alter may have
impact other regions
• Consistentence across region
result have performance impact
• Tweak database parameters for
better performance
• Eventual Consistency for multi-
region datacenter
• Consistent in the same datacenter
Solutions
11
Ability of a system to recover from failures and continue to function and
responding to failures in a way that avoids downtime or data loss
Challenges
• Transient failures
• Application Issues
• Catastrophic failures
• Retrying for idempotent operations
• Circuit breaker pattern
• Handle failures gracefully
• Prevent Cascading failures
• Global Load Balancers
• Graceful degradation
Solutions
12
Monitoring, Alerting ,Logging , Analytics and Metrics collection
Monitoring
• Infrastructure monitoring
• Application monitoring
• Real-user monitoring
Metrics & Alerting
• Host-Based Metrics
• Application Metrics
• Network and Connectivity
Metrics
• Server Pool Metrics
• External Dependency Metrics
• Able to Correlate Factors from
Different Sources
13
LATENCY
of services
Closer
App
Installation
Multi Region
CI/CD
Assess
Build
Database
Sync
Control
Optimize
Observability
Add
Audit
Resiliency
Identify
Configure
PlanAvoid
The picture can't be displayed.
Support
Ensure
Learn
Vinaya Thimmappa
Rakuten India Enterprise Private Limited, Bangalore, India
Vinaya.thimmappa@rakuten.com

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Multi-region cloud deployment challenges and solutions

  • 1. October 27, 2018 Vinaya Thimmappa Eco-System Services Department. Rakuten, Inc.
  • 2. 2
  • 3. 3 • Businesses in single region • Single Data Center • Application running on VM’s • Single Enterprise Database • No multi-tenancy Picture Credit : http://capitalsource.us
  • 4. 4 • Businesses multiple region • Multiple & Hybrid Data Center • Dockerized application • Database in multiregion • Multi-tenancy
  • 5. 5 Cloud Native • High Availability (99.99%) • Dynamically managed • Containerized • Platform agnostic • Write once and deploy across regions • Reduce operating cost • Easy maintenance. • Multi-tenancy • Elastic scaling Cloud Enabled • Originally developed for deployment in a traditional data center • An application that was moved to cloud, • Some characteristics of the application had to be changed or customized for the cloud
  • 6. 6 Latency of services The picture can't be displayed. Multi region deployment [ CI/CD ] The picture can't be displayed. Database Synchronization The picture can't be displayed. Observability The picture can't be displayed. Resiliency
  • 8. 8 Cloud service latency is the delay between a client request and a cloud service provider’s response. • Higher application response time • Application SLA gets impacted • Delay in synchronization b/w data center • Delay in arrival of help from other services Challenges • Go closer to customer • Install application in datacenter with less latency b/w regions • Avoid multiple round trips to services in application • Define clear SLA from various services and its support Solutions
  • 9. 9 Automated mechanisms for deployment and rollback The pictu re can't be displ aye… The pictu re can't be displ aye… The pictur e can't be displa yed. Challenges • Deploying in all region at the same time • Maintenance of code for each region is tedious • One release version for all regions • Understand region specific business peak hours • Build region specific deployment pipeline • Have region specific flags for region specific functionality Solutions
  • 10. 10 High performance, Active-active data replication, High availability of data, Cost- effective , Consistency Challenges • Muti-Region Sync brings down QPS • One region DB alter may have impact other regions • Consistentence across region result have performance impact • Tweak database parameters for better performance • Eventual Consistency for multi- region datacenter • Consistent in the same datacenter Solutions
  • 11. 11 Ability of a system to recover from failures and continue to function and responding to failures in a way that avoids downtime or data loss Challenges • Transient failures • Application Issues • Catastrophic failures • Retrying for idempotent operations • Circuit breaker pattern • Handle failures gracefully • Prevent Cascading failures • Global Load Balancers • Graceful degradation Solutions
  • 12. 12 Monitoring, Alerting ,Logging , Analytics and Metrics collection Monitoring • Infrastructure monitoring • Application monitoring • Real-user monitoring Metrics & Alerting • Host-Based Metrics • Application Metrics • Network and Connectivity Metrics • Server Pool Metrics • External Dependency Metrics • Able to Correlate Factors from Different Sources
  • 14. Vinaya Thimmappa Rakuten India Enterprise Private Limited, Bangalore, India Vinaya.thimmappa@rakuten.com