Presented By Brian Tobia and Chris Villemez

1. Takeaways,
Lessons, and
Insights From the
Cloud Performance
Report: 2022 Edition
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© 1992–2023 Cisco Systems, Inc. All rights reserved.
Featured Speakers
Chris Villemez
Technical Marketing Engineer
Brian Tobia
Technical Marketing Engineer

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© 1992–2023 Cisco Systems, Inc. All rights reserved.
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@ThousandEyes
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© 1992–2023 Cisco Systems, Inc. All rights reserved.
Agenda
• 2022 Cloud Report Overview
• ThousandEyes Data Visualization Demo
• ThousandEyes Dashboard Demo
• Best Practices
• Q&A
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@ThousandEyes

5. 2022 Cloud Report
Overview
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• 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
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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

9. @ThousandEyes
AGENT
AGENT
TCP Traces
Loss
Latency Jitter
Bi-directional
Tests
Network Path
Data
Data
collection
Every
10 minutes
3years
Massive
Multi-year
dataset

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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

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Cloud connectivity architectures
Two types of
cloud provider
Singapore
Cloud Region
Frankfurt
USER
Internet
centric
Internet Backbone
Hong
Kong
Interne
t
Frankfurt
Backbone
Backbone
centric

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Cloud connectivity architectures
Azure is
backbone
centric
© 2023 Cisco Systems Inc. and/or its affiliates. All rights reserved. Cisco Confidential

13. @ThousandEyes 13
Cloud connectivity architectures
AWS
leverages
the Internet
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14. Are cloud backbones
always improving?
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© 2023 Cisco Systems Inc. and/or its affiliates. All rights reserved. Cisco Confidential

15. @ThousandEyes 15
Inter-region performance
GCP improved
latency
© 2023 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
0
100
200
300
400
Asia Europe North
America
Oceania South
America
Title
2019_AWS
2022_AWS
2019_Azure
INTER-
REGION
MUMBAI

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2022 AWS
2022 Azure
2022 GCP
2019 AWS
2019 Azure
2019 GCP
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Inter-region performance
AWS improved
performance
INTER-REGION
MUMBAI
Latency
95P
(ms)

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Inter-region performance
Performance
snapshots
alone are
not useful
for IT
Operations Latency
95P
(ms)
May ’20
88ms
May ’21
93ms
May ’22
90ms
AZURE OCEANIA TO SINGAPORE
INTER-REGION

18. @ThousandEyes
AZURE SEOUL INTER-REGION
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Backbone
performance
can vary
wildly
Inter-region performance
perc95 latency Asia Average latency Asia
perc95 latency Oceania Average latency Oceania
150ms
increase
Latency
95P
(ms)

19. How stable is Inter-AZ
performance?
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Inter-AZ performance
Inter-
Availability
Zone 98th
percentile
latency
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AWS Inter-AZ latency
Azure Inter-AZ latency
GCP Inter-AZ latency

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Inter-AZ performance
30-day
performance
distribution for
us-east
AWS showed fewest latency metrics
over 2.05 milliseconds
Azure metrics were more distributed
within acceptable performance ranges

22. Demo
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23. Takeaways and
Best Practices
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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…
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26. @ThousandEyes
Understand your
baseline under
normal conditions
Continuously
stay aware
of changes
Optimize to
your needs

27. @ThousandEyes
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GET REPORT

28. Q&A
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