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1
Introduction
2
Jonathan Perry Introduction
3
Roxanne Cruz Introduction
4
Agenda
5
Benefits of Service Mesh
6
Monitoring
7
Metrics
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Network Layer Metrics
9
Service Mesh Overhead
10
CPU Utilization
11
Application Layer Visibility
12
Service Mesh
13
eBPF Tradeoffs
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Combining Metrics
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Questions
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TLS Encryption
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Do we need code changes
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Does eBPF need additional privileges
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Does eBPF require kernel support
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Additional overhead
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Root cause detection
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Recovery mechanisms
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Kernel header presence
24
What you get from eBPF
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Why should pid namespace be same as host namespace
26
Network isolation
27
Distributed environments
28
Istio andpsyllium
29
watson vs eBPF
Description:
Explore the differences between eBPF and Istio/Envoy for monitoring microservice interactions in this 57-minute webinar presented by the Cloud Native Computing Foundation. Gain insights into the challenges of tracking interactions between numerous microservices in Kubernetes-based distributed applications. Compare the benefits and drawbacks of service meshes using proxies like Envoy with passive traffic monitoring via eBPF. Learn about the types of visibility offered by each approach, their performance impacts, and how they can be deployed complementarily. Presenters Roko Kruze and Jonathan Perry from Flowmill discuss topics including service mesh benefits, monitoring metrics, network and application layer visibility, CPU utilization, and eBPF tradeoffs. The webinar also covers important considerations such as TLS encryption, code changes, kernel support, and root cause detection. Gain valuable insights into choosing the right monitoring approach for your microservices architecture.

Comparing eBPF and Istio-Envoy for Monitoring Microservice Interactions

CNCF [Cloud Native Computing Foundation]
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