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P1: Kibana Dashboard for VSPERF Logs.
This project aims to create custom kibana dashboard analyzing and synthesizing VSPERF logs/events. For every test-run, VSPERF generates following logs:
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These logs have useful information that can help user to understand the test behavior, and analyze the performance results.
P2: Enhanced Data Collection and Analytics: Collectd and Jupyter.
User can configure collectd as the metrics collection tool, when the test is run. Using collectd provides user with extremely useful information to analyze. VSPERF, as part of its results container, includes Jupyter notebook doing minimal analytics by consuming collectd metrics, apart from other information.. This project aims to improve this analytics by adding following features:
- Per-Queue metrics and Visualization
- CPU-Steal analysis
- Collect and analyze context-switches in /proc/pid/status/
- QPI Transaction information analysis
P3: Kubernetes Metrics Collection and Analysis – COMPLETED
Enhance VSPERF's metrics collection process (collectd) and Analysis with Kubernetes/container metrics.
This project was completed by Parth Yadav
P4: All-In-One TestVNF (Forwarding, Trafficgen, Stress-gen(cpu, memory, storage) and Metrics) With dynamic configuration and management.
This project aims to create VM, which includes different opensources (as shown below) and provides ability to manage (configure and control) over the network.
P5: Alerts for NFV Environments
This project aims to create Alerting System based on Prometheus-Alertmanager and Elasticsearch for NFV.
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Expected Skill: Python/Go
Student Volunteer Letters/Certificates
Letter for Parth Yadav, 28 Jan 2020
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