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Optimizing Mesos
Utilization at Opentable
Infrastructure Engineering
Vishal Uderani @vishall_ud
Rootconf India 2018
1.4 Billion Online Reservations
2.3 Million Diners per Month
58 Million verified reviews
https://flic.kr/p/9F6Khk
Before 2013
Every 2 Months
PhotoCredit:NASA
Optimising Mesos Utilization at OpenTable
Search
Opentable Codebase
Reviews Emails
Reservations
Photo
Service
Restaurant
profiles
Availability
Service
Menu API White Label
External API Person API
Feedback
API
Etc Etc Etc
Around 2013
Optimising Mesos Utilization at OpenTable
Virtualization
Search
Codebase
Reviews Emails
Reservations
Photo
Service
Restaurant
profiles
Availability
Service
Menu API White Label
External API Person API
Feedback
API
Etc Etc Etc
Search
DATACENTRE
Reviews Emails
Reservations
Photo
Service
Restaurant
profiles
Availability
Service
Menu API White Label
External API Person API Feedback
API
VM
VM
VM VMVM
VM VM
VM VM VM
VMVM
Let’s Scale !
. Search
Codebase
Reviews Emails
Reservations
Photo
Service
Restaurant
profiles
Availability
Service
Menu API White Label
External API Person API
Feedback
API
Etc Etc Etc
Search
DATACENTRE
Reviews Emails
Reservatio
ns
Photo
Service
Restaurant
profiles
Availability
Service
Menu API White Label
External API Person API Feedback
API
VM
VM
VM VMVM
VM VM
VM VM VM
VMVM
VM
EmailsVM
Search
VM
Emails
Restaurant
profiles
VM
Restaurant
profiles
VM
Restaurant
profiles
VM
Menu API
VM
Menu API
VM
Menu API
VM
Infrastructure Team / SRE
Write Puppet
Code
Local Vagrant
Build
Test and
Version ControlCode
Provision VMs
Provision More
VMs in different
Regions/Envs
Wait for
Provisioned
host puppet
run
Infrastructure
Team pushes
Puppet Code
Local Build
Provision
Metrics Write Puppet
Code
Infrastructure
Team pushes
Puppet code
Build Grafana
Dashboards
Code
integration with
Statsd/Graphite
Monitoring
Runbooks and
escalation
policies
Write Puppet
Code
Infrastructure
Team pushes
Puppet code
Identify Metrics
or emit metrics
Optimising Mesos Utilization at OpenTable
DATACENTRE
Mesos Cluster
Search
ReviewsEmails
Reservatio
ns
Photo
Service
Availability
Service
Menu API
White Label
Restaurant
profiles
External API
Person API
Feedback
API
Hubspot Singularity
Around 2014
Explore Mesos
Local Docker
Testing
Push to Docker
Repo
Code
Deploy service
to other Mesos
Cluster
Deploy
Service to
Mesos Cluster
Local Build
Provision
Metrics Write Puppet
Code
Infrastructure
Team pushes
Puppet code
Build Grafana
Dashboards
Code
integration with
Statsd/Graphite
Monitoring
Runbooks and
escalation
policies
Write Puppet
Code
Infrastructure
Team pushes
Puppet code
Identify Metrics
or emit metrics
Mesos Task
Singularity API
Mesos API
Carbon
Format
Publisher
Kafka
Carbon
Format
Consumer
Carbon-c relay
Graphite
Cluster
Grafana
https://github.com/opentable/mesos_statshttps://github.com/weaveworks/grafanalib
Metrics Pipeline
https://github.com/weaveworks/grafanalib
Auto-generated Grafana Dashboard
Help text explaining
the graphs and what
they mean
Every Service running
in Mesos will have an
auto-generated
dashboard
Shows cluster-wide
Usage and Instance Usage
Right-sizing Resource Usage = $$$ Saved
Singularity
Task
Mesos
Cluster Mesos stats
and Metrics
Shows that memory is
over-provisioned
for this service
Optimising Mesos Utilization at OpenTable
Local Docker
Testing
Push to Docker
Repo
Code
Deploy service
to other Mesos
Cluster
Deploy
Service to
Mesos Cluster
Local Build
Provision
Metrics
Monitoring
Runbooks and
escalation
policies
Write Puppet
Code
Infrastructure
Team pushes
Puppet code
Identify Metrics
or emit metrics
Only
application
specific
metrics
Create
application
specific
dashboards
Optional
Sous
https://github.com/opentable/sous
Sous Service
Global Deployment
Manifest
Mesos Cluster
QA
Container
Repository
Mesos Cluster
Prod
(London)
Mesos Cluster
Prod
(US-West2)
Code
Sous Build
Sous Deploy
Manifest
Change
Optimising Mesos Utilization at OpenTable
Local Docker
Testing
Sous DeployCode
Updated
Global
Deployment
Manifest
Local Build
Provision
Metrics
Monitoring
Runbooks and
escalation
policies
Identify Metrics
and Thresholds
Updated
Global
Deployment
Manifest
Only
application
specific
metrics
Create
application
specific
dashboards
Optional
Logging
Restaurant_id == RID ==
ResID == Res_ID
Global RequestID
https://github.com/opentable/request-timeline
Timeline Demo
Key Takeaways
Map out developer workflow and constantly look for
opportunities to standardise, automate and enhance.
Make metrics and monitoring part and parcel of the
Mesos service.
Engineers don’t always make the best choice when
deciding resource usage - help them make an
informed choice.
Have a common deployment pipeline across the
organisation that facilitates production readiness*
Having a global data model for logging allows us to
make more sense of logging data across the various
Mesos tasks.
Thank You
vuderani@opentable.com

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Optimising Mesos Utilization at OpenTable