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Running MariaDB on
Containers &
Kubernetes
Modern Database + Modern
Infrastructure Management
Agenda • The Promise of Containers
• Orchestration and Management
– Kubernetes
• Databases, MariaDB & Containers
• Q&A
The Promise of Containers
Consistency and Control
Existing Deployment Models Are Broken
Version
control
1. Development 2. Test 3. Stage / Production
Developer QA / QE Sysadmin
Architectures Are Complex & Static
Challenges
• Orchestration
• Complexity
• Maintainability
• Durability
• Consistency
• Scalability
• Cost ($)
• (Hybrid) CloudEnterprise Environment
Legacy Mainframe
Operational Database
Caching Layer
Pricing /
Inventory /
Billing
Real-time
Decisioning
Real-time
Consumer
facing
Streaming
Data
Data Warehouse
Data Lake
RDBMS Transactional
Systems
What do Containers give me?
Encapsulation of Dependencies
• O/S packages & Patches
• Execution environment (e.g. Python 2.7)
• Application Code & Dependencies
Process Isolation
• Isolate the process from anything else running
Faster, Lightweight virtualization
Virtual Machines vs. Containers
App 1 App 2 App 3
Bins/Libs Bins/Libs Bins/Libs
Guest OS Guest OS Guest OS
Hypervisor
Host Operating System
Infrastructure
Docker Engine
Operating System
Infrastructure
App 1 App 2 App 3
Bins/Libs Bins/Libs Bins/Libs
Dockerfile - Example
Open Container Initiative (OCI) – Polyglot Vendors
Coalition of industry leaders join forces to eliminate fragmentation
• Form a vendor-neutral, open source governance model under the Linux Foundation
• Establish common standards for container format and runtime
• Docker donated its container format, runtime and associated specifications
• Appoint maintainers for the libcontainer project
Orchestration and Management
Coordination of Resources
Docker Toolchain
Machine provisions
Docker Engines
Swarm clusters
Docker Engines
Compose orchestrates
Container deployment
Containers instantiate an
image and are run by
Docker Engine
Docker Machine Docker Compose
Docker Swarm
Docker Engine
Image
Images encapsulates your
code, dependencies…
What about orchestration and Management?
Orchestration and Management of Containers and higher-level
constructs (services, deployments, etc….) is evolving
Amazon ECS
Google Container
Engine
Azure Container
Service
docker
kubelet
docker
kubelet
docker
kubelet
node
node
node
kubernetes
master(s)
kubectl
REST
Kubernetes Components
kubernetes
interfaces
volumes
containers
volumes
containers
volumes
containers
mysql:
3306
mysql:
3306
port:
3306
Kubernetes Objects
pods
services
spec:
controllers
mysql:
3306
spec:
deployments
provide access to
manage
manage
Databases, MariaDB & Containers
Managing Persistent Distributed Systems
Direction
Containers + Databases = Happy
Developers
Ephemeral Containers + Databases =
DevOps headaches
4 Things you must use to evaluate
• Data Redundancy
• Dynamic Self Discovery & Cluster formation
• Self Healing (as containers enter and leave)
• Application Tier discovery of Database Cluster
MariaDB TX / Server
• “Official” Single Instance Docker Image
github.com/docker-library/mariadb
• Bitnami curated Master->Slave
github.com/bitnami/bitnami-docker-mariadb
• Galera Cluster (with Docker Swarm Support)
github.com/colinmollenhour/mariadb-galera-swarm
• Sample App using Galera on Docker
mariadb.com/resources/webinars/how-build-and-scale-application-mariadb-docker
• Deprecated Enterprise MariaDB Docker
https://github.com/mariadb-corporation/mariadb-enterprise-docker
MariaDB AX / ColumnStore
• Single Instance Docker for Dev & Evaluations
– github.com/mariadb-corporation/mariadb-columnstore-docker
• Multi-node on Kubernetes
– mariadb.com/resources/webinars/get-started-analytics-easy-way-mari
adb-ax-kubernetes
– github.com/WonkyWumpus/mdb-cs-easy-sshd-ubuntu-1604
Q&A
Thank you
james.mclaurin@mariadb.com.
Appendix
Backup Slides and More

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Running database infrastructure on containers

  • 1. Running MariaDB on Containers & Kubernetes Modern Database + Modern Infrastructure Management
  • 2. Agenda • The Promise of Containers • Orchestration and Management – Kubernetes • Databases, MariaDB & Containers • Q&A
  • 3. The Promise of Containers Consistency and Control
  • 4. Existing Deployment Models Are Broken Version control 1. Development 2. Test 3. Stage / Production Developer QA / QE Sysadmin
  • 5. Architectures Are Complex & Static Challenges • Orchestration • Complexity • Maintainability • Durability • Consistency • Scalability • Cost ($) • (Hybrid) CloudEnterprise Environment Legacy Mainframe Operational Database Caching Layer Pricing / Inventory / Billing Real-time Decisioning Real-time Consumer facing Streaming Data Data Warehouse Data Lake RDBMS Transactional Systems
  • 6. What do Containers give me? Encapsulation of Dependencies • O/S packages & Patches • Execution environment (e.g. Python 2.7) • Application Code & Dependencies Process Isolation • Isolate the process from anything else running Faster, Lightweight virtualization
  • 7. Virtual Machines vs. Containers App 1 App 2 App 3 Bins/Libs Bins/Libs Bins/Libs Guest OS Guest OS Guest OS Hypervisor Host Operating System Infrastructure Docker Engine Operating System Infrastructure App 1 App 2 App 3 Bins/Libs Bins/Libs Bins/Libs
  • 9. Open Container Initiative (OCI) – Polyglot Vendors Coalition of industry leaders join forces to eliminate fragmentation • Form a vendor-neutral, open source governance model under the Linux Foundation • Establish common standards for container format and runtime • Docker donated its container format, runtime and associated specifications • Appoint maintainers for the libcontainer project
  • 11. Docker Toolchain Machine provisions Docker Engines Swarm clusters Docker Engines Compose orchestrates Container deployment Containers instantiate an image and are run by Docker Engine Docker Machine Docker Compose Docker Swarm Docker Engine Image Images encapsulates your code, dependencies…
  • 12. What about orchestration and Management? Orchestration and Management of Containers and higher-level constructs (services, deployments, etc….) is evolving Amazon ECS Google Container Engine Azure Container Service
  • 15. Databases, MariaDB & Containers Managing Persistent Distributed Systems
  • 16. Direction Containers + Databases = Happy Developers Ephemeral Containers + Databases = DevOps headaches 4 Things you must use to evaluate • Data Redundancy • Dynamic Self Discovery & Cluster formation • Self Healing (as containers enter and leave) • Application Tier discovery of Database Cluster
  • 17. MariaDB TX / Server • “Official” Single Instance Docker Image github.com/docker-library/mariadb • Bitnami curated Master->Slave github.com/bitnami/bitnami-docker-mariadb • Galera Cluster (with Docker Swarm Support) github.com/colinmollenhour/mariadb-galera-swarm • Sample App using Galera on Docker mariadb.com/resources/webinars/how-build-and-scale-application-mariadb-docker • Deprecated Enterprise MariaDB Docker https://github.com/mariadb-corporation/mariadb-enterprise-docker
  • 18. MariaDB AX / ColumnStore • Single Instance Docker for Dev & Evaluations – github.com/mariadb-corporation/mariadb-columnstore-docker • Multi-node on Kubernetes – mariadb.com/resources/webinars/get-started-analytics-easy-way-mari adb-ax-kubernetes – github.com/WonkyWumpus/mdb-cs-easy-sshd-ubuntu-1604
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  • 22. Q&A