You can find the webinar replay in the IDERA Resource Center: http://ow.ly/t10N50A4snJ Microsoft introduced Big Data Clusters at the recent Ignite conference. SQL Server Big Data Clusters only run on Kubernetes—a container orchestration platform that lets you run SQL Server on Linux, offering high availability and disaster recovery. While high availability and disaster recovery were a challenge on Linux in SQL Server 2017, Kubernetes makes this process painless and simplifies the overall deployment process. Join IDERA and Joey D’Antoni as he walks through how to deploy, configure, and maintain your SQL Server containers so they are available and meet your performance needs. Speaker: Joey D'Antoni is a Senior Consultant and SQL Server MVP with over a decade of experience working in both Fortune 500 and smaller firms. He is a Principal Architect for Denny Cherry and Associates and lives in Malvern, PA. He is a frequent speaker at major tech events, and blogger about all topics technology. He believes that no single platform is the answer to all technology problems. He holds a BS in Computer Information Systems from Louisiana Tech University and an MBA from North Carolina State University, and is the co-author of the Microsoft white paper "Using Power BI in a Hybrid Environment.

1. © 2018 IDERA, Inc. All rights reserved.
LINUX, CONTAINERS, AND SQL SERVER—
GET READY FOR BIG DATA CLUSTERS IN
SQL SERVER
Joey D’Antoni
05 December 2018

2. Joey D’Antoni
Joey has over 20 years of experience with a wide
variety of data platforms, in both Fortune 50
companies as well as smaller organizations
He is a frequent speaker on database administration,
big data, and career management
MVP, MCSE BI and Data Platform
VMWare vExpert
He is the co-president of the Philadelphia SQL Server
User’s Group
He wants you to make sure you can restore your
data

3. Why Now?

4. Increase analytics and apps performance
Compute pool
SQL Compute
Node
SQL Compute
Node
SQL Compute
Node
…
Compute pool
SQL Compute
Node
IoT data
Directly
read from
HDFS
Persistent storage
…
Storage pool
SQL
Serve
r
Spark
HDFS Data Node
SQL
Serve
r
Spark
HDFS Data Node
SQL
Serve
r
Spark
HDFS Data Node
Kubernetes
pod
Analytics
Custom
apps B
I
SQL Server
master instance
Node Node Node Node Node Node Node
SQL
Data pool
SQL Data
Node
SQL Data
Node
Compute pool
SQL Compute
Node
Storage Storage

5. Simplified deployment with
containers & Kubernetes
A container is a standardized unit of software that includes
everything needed to run it
Kubernetes is a container hosting platform
Benefits of containers and Kubernetes:
1. Fast to deploy
2. Self-contained – no installation required
3. Upgrades are easy because - just upload a new image
4. Scalable, multi-tenant, designed for elasticity
Kubernetes pod
SQL Server
HDFS Data Node
Spark

6. Concepts
SQL Server in Containers still has some
limitations
•AD Authentication
•Availability Groups
•A few other features—most of the Linux footprint
1
So why bother learning about this?
•Containers right now are where virtualization was in
2003
•This is the future of infrastructure
2

7. Agenda
• What Are Containers?
• Storage Persistence
• What is Kubernetes?
• SQL Server and Kubernetes
• The Future?

9. Benefits of Containers
• Containers are faster to deploy than VMs
• Fully software defined
• Containers themselves are ephemeral
• Storage is persisted
• Better density than VMs
• Lower performance overhead than a VM
• Built natively around cloud services

10. If Containers Are Ephemeral What About my Data
All container platforms allow for
some measure of persisted storage
This is the notion of separating
data from compute which has
always been hard in RDBMS

11. SQL Server and Docker Demo

12. That’s Cool—
But What
About HA/DR
You can have multiple
hosts (servers) in your
Docker Swarm to protect
against hardware failure
Service failure is a little bit
difference
Wait for the next slide

13. Introducing Kubernetes

14. Kubernetes at 10,000 ft
Kubernetes (K8s) is a container orchestration system that was
developed at Google and referred to as “Borg”
Performs scaling, self-healing, load-balancing, rolling
updates and much more..
Written in Go
Frequently deployed in conjunction with Docker using
containerd service and Docker registry

15. Kubernetes
Arch
Concepts

16. SQL Server on
Kubernetes
Physical Architecture

18. Concepts
Masters—head nodes that run the cluster
Nodes—Individual hosts (servers or VMs) that run the
cluster
Declarative Model—Template for your service
Pods—K8s unit of deployment
Services—provide reliable network endpoint for a set of
pods
Load Balancer—provides persisted IP address for your
container

19. SQL Server and
Kubernetes
Demo

20. Summary
Containers are the now and the
future of infrastructure
Kubernetes has won the container
wars and looks to be the leading
platform going forward
This changes the way we think
about servers, but you still need to
protect your data

21. References
The Kubernetes Book—
Nigel Poulton
http://bit.ly/K8sPoulton
Kubernetes Up and
Running—Beda, Burns,
and Hightower
http://bit.ly/K8sBurns
Designing Distributed
Systems—Burns
http://bit.ly/DistSystems
Site Reliability
Engineering—Beyer et al.
http://bit.ly/SREBook

22. 22© 2017 IDERA, Inc. All rights reserved. Proprietary and confidential.
THANKS!
Any questions?
You can find me at:
@jdanton
joeydantoni.com
joey@dcac.co