How to estimate bandwidth requirements for EventLog Analyzer deployment
Objective
Understanding bandwidth requirements is essential for effective deployment and performance tuning of EventLog Analyzer. Bandwidth usage varies based on how logs are collected (agent-based vs. agentless), the EPS rate, and client-server communication. This document outlines how to estimate the bandwidth consumed during log collection, client access, and search and report activities.
Steps to follow
Bandwidth between log source and server
Log collection requires dedicated bandwidth, and its usage depends on:
- Event per second (EPS) rate.
- Log collection method used (agent-based vs. agentless).
Compression behavior:
- Agent-based collection: Logs are compressed up to 10x (actual ratio varies by log format and structure).
- Agentless collection: No compression is applied.
Calculation example:
- Agentless collection:
Bandwidth ≈ log size generated per second
e.g., 900 bytes/event (Windows Logs) × 3000 EPS = 2.7MB/sec - Agent-based collection:
Bandwidth = log size generated per second ÷ 10
e.g., 2.7MB/sec ÷ 10 = 0.27MB/sec
Bandwidth between client and server
- Initial load requires approximately 15MB.
- After loading, ongoing usage is minimal and not significantly impacted by deployment type.
Bandwidth between Elasticsearch and server
- Usage depends on the complexity of the search query.
- Simple reports and alerts consume minimal bandwidth.
- Scheduled reports may temporarily spike bandwidth usage depending on the number of logs and the export format (e.g., large CSV files).
Tips
- Use agent-based collection wherever possible for bandwidth efficiency.
- Monitor EPS and average log size to calculate bandwidth needs accurately.
- Plan for temporary spikes in bandwidth during scheduled reports or heavy search queries.
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