Understand the challenges of monitoring enterprise remote office networks in the hybrid cloud era and regain visibility with network performance monitoring.

1. Challenges of Monitoring
the Remote Office in the
Hybrid-Cloud Era
Cisco Live
June 2019

2. 4-Dimensional Monitoring
Network
Paths
Packets
Web/UR
L
Flows
100% capture of the actual data from
the packets on the network.
This is the granular detail into ‘what’
happened. Once you identify where a
problem is, there is no substitute for
having the raw packets when it comes
to understanding the root cause.
Web synthetics to baseline app
performance as it changes over time.
This provides insight without requiring
real users to experience and report bad
performance. This allows IT to see
trends in performance over time to
anticipate bad performance.
An active approach to measuring
health and availability of the network.
This shows end-to-end visibility into
where applications are going and what
the effect of the network is on apps
while providing root cause analysis to
proactively tell you what happened.
Who, when, and what application
traffic is on the network.
Flow data combined with DPI analysis
allows AppNeta to identify what real
users are experiencing with all of the
applications on the network.
4D

3. &
Fundamental Changes at the Branch
Where
Apps Live
How We
Connect
● WiFi is everywhere
● Apps offer greater flexibility
● Increase in remote work
● Collaboration is easier

4. ● How many in the group have less than 15 remote locations?
● How many in the group have greater than 50 locations?
● How many of you have a group of users who are strictly remote?
(work from home)
● Have you adopted or are you thinking about adopting SD-WAN
technologies at the branch locations?
○ As part of the SD-WAN deployment do you also plan to adopt
cloud proxy services?
Remote Office Poll

6. Edge Visibility

7. Connect your branch office to APM

8. 4-Dimensional Monitoring
Network
Paths
Packets
Web/UR
L
Flows
100% capture of the actual data from
the packets on the network.
This is the granular detail into ‘what’
happened. Once you identify where a
problem is, there is no substitute for
having the raw packets when it comes to
understanding the root cause.
Web synthetics to baseline app
performance as it changes over time.
This provides insight without requiring real
users to experience and report bad
performance. This allows IT to see trends
in performance over time to anticipate
bad performance.
An active approach to measuring health
and availability of the network.
This shows end-to-end visibility into where
applications are going and what the effect
of the network is on apps
while providing root cause analysis to
proactively tell you what happened.
Who, when, and what application
traffic is on the network.
Flow data combined with DPI analysis
allows AppNeta to identify what real
users are experiencing with all of the
applications on the network.
4D

9. Identify Real User applications by location

10. Identify Real User performance/application

11. Identify Real User performance/application

12. 4-Dimensional Monitoring
Network
Paths
Packets
Web/UR
L
Flows
100% capture of the actual data from
the packets on the network.
This is the granular detail into ‘what’
happened. Once you identify where a
problem is, there is no substitute for
having the raw packets when it comes to
understanding the root cause.
Web synthetics to baseline app
performance as it changes over time.
This provides insight without requiring
real users to experience and report bad
performance. This allows IT to see
trends in performance over time to
anticipate bad performance.
An active approach to measuring health
and availability of the network.
This shows end-to-end visibility into where
applications are going and what the effect
of the network is on apps
while providing root cause analysis to
proactively tell you what happened.
Who, when, and what application
traffic is on the network.
Flow data combined with DPI analysis
allows AppNeta to identify what real users
are experiencing with all of the
applications on the network.
4D

13. Web Synthetics

14. Web Synthetics

15. Web Synthetics

16. Experience: Detailed page insights

17. Network
Paths
Packets
Web/URLFlows
100% capture of the
actual data from the
packets on the network
Web synthetics to
baseline performance as
it changes over time
An active approach to
measuring health and
availability of the network
Who, when, and what
application traffic is
active on the network
4-Dimensional Monitoring

18. Multi-Path Routing Insights

19. Multi-Path Routing Insights

20. Delivery: Network Path Insights
Quickly understand
trends that are
impactful to the remote
users
Slow is the new
down

21. Delivery: Bottleneck identification
Cut down on Mean
Time to Innocence
Quickly identify which
environment is the
leading cause to poor
performance

22. ● We only looked at 3 out of 4 dimensions of monitoring
○ Identify applications
○ End User Experience
○ Network Transit Analysis
● Users and Apps are moving
Analyze right from where your users are, inside or outside the enterprise environment
● What KPI’s tell the story of your remote location experience?
● Please come discuss any questions or deep dive into your use cases with us
AppNeta
@AppNeta
AppNeta.com

23. Thanks for Sticking Around
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