Slides from Cloud Online Meetup by Amrith Kumar, CTO of Tesora discussing the planning updates for the OpenStack Trove Kilo Update.

1. OpenStack Trove Update:
Kilo Release
January 2015
Amrith Kumar, CTO Tesora

2. OpenStack Trove Mission Statement
To provide scalable and reliable Cloud Database as a Service
provisioning functionality for both relational and non-relational
database engines, and to continue to improve its fully-featured and
extensible open source framework.
https://wiki.openstack.org/wiki/Trove
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3. Trove Highlights
• Trove is the OpenStack Database as a Service project
– Easily provision and manage the life-cycle of a database in the cloud
– Supports both relational databases (like mySQL and PostgreSQL)
– And non-relational engines (like MongoDB, Cassandra, and Couchbase)
• The data-plane and the management-plane
– Trove stays on the management-plane
– Rarely on the data-plane
– Backup and restore being the exception
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4. Brief History of OpenStack Trove
“Kilo”
Apr 2015
“Juno”
Oct 2014
“Icehouse”
Apr 2014
“Havana”
Oct 2013
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5. Trove Architecture
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6. OpenStack Trove Ecosystem
Databases OpenStack Distributions
OpenStack Trove Community
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7. Commits to Trove in Kilo (to-date)
Commits as of January 28 2015
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8. Trove Multi-Datastore Architecture
All datastore specific code
isolated to guest agents
Trove
Controller
Guest Agent
Guest Agent
Guest Agent
Guest Agent
Trove
Dashboard
(Horizon) Guest Agent
Guest Agent
Datastore-agnostic code in Trove
Controller and Dashboard
Guest Agent
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9. Private Clouds Public Clouds
Production OpenStack Trove Deployments
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10. OpenStack Trove Kilo Updates

11. Trove Juno Release Overview
• The numbers:
– 332 commits from 71 contributors
– 31 blueprints implemented
– 201 bugs fixed
– 3,500 code reviews
– 66,168 total lines of code changed
• Source: http://superuser.openstack.org/articles/kilo-update-trove
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12. Kilo Specs
• In Juno
– Trove did its blueprints in Wikipages, but had problems with reviews
– Not good for annotation and users could not easily track changes
– It was also difficult to get feedback
• Trove will be moving back towards the old specs process
– Move back to doing specs using Gerrit.
– Working well so far (see the trove-specs repository)
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13. More Datastore Improvements
• Incremental improvements for existing datastores
• Introduce implementations of datastores for CouchDB and Vertica
• Add an API to fetch database logs from guest instances
– If something goes wrong, they need a programmatic way to figure out
the problem
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14. • In Juno,
– Replication framework (v1)
– Single master, multiple read-
only slaves
– MySQL semi-synchronous
replication
– No failover
• In Kilo
– Merge Horizon (dashboard)
support for replication
– Continue to build out the
replication framework (v2)
– Add support for GTID-based
replication for MySQL
– Support for failover
Building on Replication
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15. • In Juno
– Clustering framework (v1)
– Support for MongoDB
• In Kilo
– Extend the clustering
framework (v2)
– Work in progress
• Support for Cassandra
clustering
– Planned
• MySQL clustering based on
Galera (Percona XtraDB
Cluster)
Building out clusters
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16. Paying off Technical Debt
• Address housekeeping items to make more stable and easier to use
– In the area(s) of CI and testing (gate)
• Update to reflect changes in Oslo
– Deprecations
– Graduations from oslo-incubator
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17. Documentation improvements
• Document the Guest Image creation process
• Improved end-user documentation
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18. Tesora Database as a Service Platform

19. Tesora Database as a Service
with OpenStack Trove
• Built on OpenStack Trove
• Fast, self-service database provisioning
• Optimized for a wide range of SQL and
NoSQL databases
• Automates backup and data protection
• Deploys as a secure private cloud
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20. Tesora Database as a Service Editions
Maintenance/Bug Fixes
Community Code
Extensive Testing
Simplified Installation/Configuration
24/7 Support
Replication and Clustering
Enterprise Database Capabilities
Certified Guest Images – Proprietary DBs
Certified Guest Images – Open Source DBs
OpenStack Trove
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21. Tesora DBaaS Platform Maturity Model
Development
Dev/Test use cases
Production
Simple production use cases
Carrier
Zero Downtime
• Single instance provisioning
• Instance resizing
• Full backup/restore
• Incremental and scheduled backups
• Read replication
• User/database management
• Bare metal provisioning
• Multi-region failover
• Advanced monitoring
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22. More Info and get involved
• Amrith Kumar, Trove Core Team member, CTO Tesora
• Email: amrith@tesora.com
• IRC: amrith
• Trove IRC Channel: #openstack-trove
• Tesora IRC Channel: #tesora
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