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Vamsi Kalapala

PROFILE

Vamsi Kalapala

Contributed to the microsoft/retina repository by developing two features focused on network observability and telemetry. Delivered a telemetry enhancement that reduced TCP remote address metric cardinality by aggregating IPs and removing per-port labels, streamlining metric storage and simplifying instrumentation using Go. Additionally, built a bash-based network packet drop monitoring script for Kubernetes environments, which automatically detects Retina or Cilium agents, retrieves metrics via port-forwarding, and analyzes time-series data to highlight packet drop trends. The work emphasized data analysis, system programming, and network monitoring, resulting in more scalable telemetry and actionable insights for performance troubleshooting without introducing new bugs.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
878
Activity Months2

Your Network

4749 people

Same Organization

@microsoft.com
4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember

Shared Repositories

29

Work History

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for microsoft/retina: Delivered a Network Packet Drop Monitoring Script for Kubernetes to strengthen observability and performance troubleshooting. The script auto-detects Retina or Cilium agents, retrieves metrics via port-forwarding and curl, and compares metrics over time to highlight packet drop trends. Short, actionable summaries enable faster diagnosis and proactive remediation. No high-priority bug fixes were recorded this month; the focus was on delivering a robust automation feature with clear business value.

November 2024

1 Commits • 1 Features

Nov 1, 2024

Month 2024-11: Delivered a telemetry-focused feature in microsoft/retina to reduce metrics cardinality for TCP Remote Address by removing the port label and aggregating IP addresses under a single AllIPs label. Refactored metric initialization and update paths to support the aggregation, enabling more scalable telemetry and simpler instrumentation.

Activity

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Quality Metrics

Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance90.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Gobash

Technical Skills

Data AnalysisKubernetesMetricsNetwork MonitoringNetworkingShell ScriptingSystem Programming

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

microsoft/retina

Nov 2024 Jun 2025
2 Months active

Languages Used

Gobash

Technical Skills

MetricsNetworkingSystem ProgrammingData AnalysisKubernetesNetwork Monitoring