Cloud-Native Network Performance & Monitoring

High-Performance Networking & Cloud-Native · 30 illustrated lessons (text/HTML)

Outcomes

• Locate container-network latency and throughput bottlenecks
• Build network observability with eBPF and standard tooling
• Automate tuning and capacity planning

Where we teach this

• OBS-201 · Cloud-Native Network Performance and Monitoring guided, self-paced

The lessons

Every lesson in this curriculum, in the order we teach it.

• 1Cloud-native networking basics
• 2The Linux networking stack in depth
• 3Container network performance bottleneck analysis
• 4High-performance container networking options
• 5Service mesh network performance
• 6Kubernetes network-policy performance tuning
• 7CNI plugin performance benchmarking in practice
• 8Pod-to-pod network latency optimisation in practice
• 9Network bandwidth and throughput tuning in practice
• 10DNS resolution performance tuning
• 11East-west traffic monitoring: eBPF-based tracing, automatic service-dependency mapping and anomaly detection
• 12North-south traffic monitoring in practice
• 13Network observability toolchain in practice
• 14eBPF network monitoring in practice
• 15Network fault-diagnosis toolkit
• 16Root-cause analysis of network performance problems
• 17Multi-cluster network performance tuning and monitoring in practice
• 18Cloud provider network integration in practice
• 19Balancing network security and performance
• 20IPv6 topics
• 21Network optimisation for edge computing in practice
• 22Scalability tuning for large-scale cluster networks in practice
• 23Network resource quotas and isolation
• 24Network optimisation for GPU compute nodes in practice
• 25Service mesh telemetry data optimisation in practice
• 26Network cost optimisation in practice
• 27Chaos engineering and network resilience
• 28Network performance benchmarks and SLAs
• 29Automated network tuning
• 30Future trends and summary: cloud-native networking outlook