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1
Intro
2
WHY DOES IT MATTER?
3
PROBLEM STATEMENT
4
BLOCK STORAGE IN A PUBLIC CLOUD
5
THE AWS WAY
6
EBS Volumes: an example
7
THE GOOGLE WAY
8
OPENSTACK FRAMEWORK TRENDS
9
OPENSTACK CINDER DRIVER TRENDS
10
BLOCK STORAGE WITH OPENSTACK
11
UNIVERSAL SCALABILITY MODEL
12
SSD BASED CLUSTERS
13
SCALING DIMENSIONS
14
CAPACITY BASED LIMITS
15
SUMMARY OF RESULTS
16
CEPH + OPENSTACK QOS
17
OPENSTACK TOOLS AND GAPS
Description:
Explore deterministic storage performance in OpenStack and Ceph systems, emulating AWS's capacity-based Quality of Service (QoS) approach. Dive into how Ceph storage pools and Cinder Volume Types can replicate Amazon's Magnetic and Provisioned IOPS Elastic Block Store (EBS) functionality. Analyze performance graphs to determine when size-based or fixed limits are more suitable, depending on the underlying storage media. Examine block storage trends in public clouds, OpenStack frameworks, and Cinder drivers. Investigate universal scalability models, SSD-based clusters, and scaling dimensions. Learn about capacity-based limits and their impact on performance. Discover the tools and gaps in OpenStack for implementing QoS with Ceph storage, enabling you to provide familiar public cloud modalities in private cloud environments.

Deterministic Storage Performance - The AWS Way for Capacity Based QoS with OpenStack and Ceph

Red Hat
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