Deploying an enterprise SQL database across geographically located OpenShift or Kubernetes clusters can be challenging. These deployments often require zero-downtime, ANSI standard SQL, ACID compliant transactions, seamless day-2 operations, and highly performant and durable persistent storage systems. How can your organization easily deploy container-native storage with a distributed SQL database to deliver containerized apps in the cloud?
In this webinar, NuoDB and MayaData guide you as you build containerized apps that check these critical boxes:
[✓] Always on
[✓] At scale
[✓] High performance persistent storage
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Resources:
NuoDB & OpenEBS Solution Guide
https://mayadata.io/assets/pdf/nuodb-openebs-solution-docs.pdf
OpenEBS Documentation:
https://docs.openebs.io/docs/next/nuodb.html
OpenEBS Getting Started Workshop
https://www.katacoda.com/openebs/scenarios/openebs-intro
https://github.com/openebs/community/tree/master/workshop
OpenEBS & Litmus Repositories
https://github.com/openebs/openebs
https://github.com/openebs/litmus
NuoDB Documentation:
http://doc.nuodb.com/Latest/Default.htm
NuoDB CE Download:
https://www.nuodb.com/download
The Essentials of Digital Experience Monitoring_ A Comprehensive Guide.pdf
NuoDB + MayaData: How to Run Containerized Enterprise SQL Applications in the Cloud
1. How to Run Containerized Enterprise
SQL Applications in Cloud
April 17, 2019
Joe Leslie, Senior Product Manager, NuoDB
Murat Karslioglu, VP of Products, MayaData
5. MOVING TO THE CLOUD,
RETHINKING EVERYTHING
Microservices
and Containers
Growing Data
Workloads
Developer
Retooling
Dev-ops &
Agile
Data
Security
Purchasing
Patterns
6. 6
CONTAINER CHALLENGES FOR
SQL DATABASES
Replication
Legacy data replication
not designed for
container environments
Performance
Network and storage
abstraction layers
require careful
planning
Lift-and-Shift
Moving existing Apps
to the cloud
container model is a
sizable task
8. “NuoDB combines the scale-out simplicity and
continuous availability that cloud applications require
with the transactional consistency and durability that
databases of record demand.”
INTRODUCING ANOTHER WAY