1. ONUG Monitoring and Analytics Working Group
An Observability Model for Hybrid Multi-Cloud
ONUG Monitoring and Analytics Working Group
SPRING 2019
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2. M&A Working Group Speakers
MODERATOR: Stephen Collins, 1024tm, ONUG Working Group CTO
SPEAKERS:
Paul Barrett, Netscout
Douglas Comer, Purdue University
Alex Henthorn-Iwane, ThousandEyes
Ted Turner, Intuit

3. Agenda Reference environment What is observability?
Observability considerations
Next steps discussion

4. Hybrid Multi-Cloud Environments
Spanning public & private cloud infrastructure
Public cloud services & SaaS applications
Microservice workloads running in containers
Complex service meshes with dependencies on third party services
Public Internet, private WAN and hybrid SD-WAN connectivity

5. Primary Objective and Constraint
Ensure quality of user digital experience
while …
Operating in a hybrid multi-cloud environment in which you don’t own, operate and control the entire underlying infrastructure

6. Overarching Use Cases Impact analysis Root cause analysis
Bottom up – identify users, devices, applications & sites affected by a problem including the severity & extent of the impact
Root cause analysis
Top down – determine the source of a problem identifying the specific domain, layer, software component or physical element
Top-down priority: Determine severity of a problem based on scope of user experience and priority of application or service impacted

7. Observability vs Monitoring
Observability is a property of a system
A measure of how well internal states of a system can be measured or inferred
Monitoring is an activity
A system that has poor observability is difficult to monitor and vice versa
A high degree of observability should be part of the original design

8. Some Dimensions of Observability
Levels of Automation
Items to Be Observed
Proactive
Predictive analytics
Global
End-to-end
Real user experience
Real-time analytics
Domains / layers / topologies
Collect aggregate statistics
Applications / subsystems
Collect basic state information
Local
Components / elements
Reactive

9. Observability – Spans Multiple Domains
Access / Last Mile Networks
WAN
Inter-Connect
End Points
Sites
Cloud
Apps & Content
IoT
Phone
Mobile Operator
Transit ISP
CDN Provider
Remote PC
Tablet
Home
SaaS
Broadband ISP
SD-WAN
Cloud Security Provider
Set Top
Console
Public
Cloud
Business
Enterprise
Carrier
IXP
Storage
Server
Private
Cloud
VPC

10. Observability – Spans Multiple Layers
Microservices
Application Layer
Service Mesh
Container Orchestration
Operating Systems
Infrastructure
Layer
Virtual Machines
Computing + Storage
SD/Virtual Networks
Network
Layer
Core Network Services
Physical Networks

11. Observability – Degrees of Intelligence
Problem remediation
Guided or fully automated
Problem prediction
ML/AI applied to predicting problems before they occur
Problem detection
ML/AI to baseline normal behavior & identify anomalies
Threshold alerts
Aggregate statistics & trigger thresholds for alerts
Data snapshots
Access to metrics, logs, traces, packet data, tests
Automation
Increasing
Doug Comer: automation

12. Observability Considerations
Perform requirements analysis as a key step toward an actual monitoring architecture
Identify meaningful metrics that matter to your specific environment
Evaluate the possible solutions in context of your specific constraints:
Capex and Opex costs vs. budgets
Availability of appropriate skilled resources and/or training
Mix of applications, workloads, and environments
Long-term TCO `
Degree of leverage out of each solution

13. Next Steps and Objectives for Fall ONUG…

14. SPRING 2019 Look Forward to Seeing You at ONUG’s Upcoming Events:
• ONUG Fall in NYC, October 16-17
• ONUG Europe in London, December 4-5
SPRING 2019
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