6. 6
• Data-driven study of cloud network performance
• 3 years of continuous measurements for AWS,
Azure and Google Cloud Platform
• Inter-region, inter-AZ and end user metrics
• Understand how cloud connectivity architectures
vary, see regional differences, and more
Cloud Performance Report
Context
7. What we
wanted to
understand
7
1. Have cloud connectivity architectures changed?
2. Are cloud backbones always improving?
3. What does normal end-user performance look like?
4. How stable is Inter-AZ performance?
5. What does multi-cloud connectivity look like?
8. @ThousandEyes
Research scope
15 15
25
Region X
72 Global Locations
INTER-REGION
PERFORMANCE END-USER
PERFORMANCE
INTER-AZ
PERFORMANCE
AWS Azure GCP
Measurements between regions
within each cloud provider
Measurements between
availability zones within 6 AWS
and GCP regions and 5 Azure’s
Measurements between 73
global distributed locations to
cloud regions
10. 10
Key Findings
1. Cloud providers are not immune to
performance issues
2. Cloud providers prioritize
and make network decisions based on
their interests
3. There’s no steady state in the cloud
11. @ThousandEyes 11
Two types of
cloud provider
Singapore
Cloud Region
Frankfurt
USER
Internet
centric
Internet Backbone
Hong
Kong
Internet
Frankfurt
Backbone
Backbone
centric
24. 24
Key Takeaways
1. Today’s application components are scattered
2. Cloud performance is not a singular metric
3. Include optimization and scalability goals into
your cloud management strategy
4. The cloud landscape is dynamic
5. Evidence is everything
25. • Test performance to and between different regions
• Cloud requires you to take a “data driven leap of faith”
• You need additional confidence and visibility because you
can’t rollback on cloud
• Once you’re deployed within a region, it’s hard to uproot
• Leverage an always-on monitoring/alerting strategy to maintain
and audit performance
• Understand where the data is traveling within a provider and what paths
it takes
• Compliance and data sovereignty are important to consider
Before You Deploy To Cloud…
25