What are the best practices to handle large log files in C#?

Question

Anubhav Kumar · Answer

Handling large log files in C# requires careful management to ensure performance, disk space efficiency, and maintainability. Below are the best practices:
Best Practices to Handle Large Log Files in C#
1. Use a Logging Framework
Avoid manual file handling. Use mature logging frameworks like:
NLogSeriloglog4net
These support features like file rotation, compression, filtering, and async logging.
2. Enable Log File Rotation (Rolling Logs)
Split logs by:
Size (e.g., 10 MB per file)Date (e.g., daily logs)Time intervals (e.g., hourly)
Example using Serilog:
Log.Logger = new LoggerConfiguration()
    .WriteTo.File("logs/log-.txt",
                  rollingInterval: RollingInterval.Day,
                  fileSizeLimitBytes: 10_000_000,
                  rollOnFileSizeLimit: true)
    .CreateLogger();
3. Compress Old Log Files
Archive old logs periodically (e.g., .zip or .gz) to save space.
Manually use System.IO.CompressionOr automate with tools like logrotate (Linux) or custom Windows scheduled tasks.
4. Log Level Management
Avoid excessive logging. Use appropriate log levels:
Debug: For detailed internal information.Info: For normal flow.Warning: For unexpected but recoverable situations.Error: For serious issues.Fatal: For crashes or critical failures.
Only enable Debug in development; avoid in production.
5. Asynchronous Logging
Ensure logs don’t block the main application thread. Most frameworks (e.g., Serilog, NLog) support async writing.
.WriteTo.Async(a =andgt; a.File("log.txt"))
6. Limit Retention (Log Cleanup)
Delete old log files after a fixed period (e.g., 30 days).
In Serilog:
retainedFileCountLimit: 10
Or implement manual cleanup:
var files = Directory.GetFiles("logs", "*.txt")
                     .Where(f =andgt; File.GetCreationTime(f) andlt; DateTime.Now.AddDays(-30));
foreach (var file in files) File.Delete(file);
7. Use Structured Logging
Use structured logs (e.g., JSON format) for better querying and parsing.
.WriteTo.File(new JsonFormatter(), "logs/log.json")
8. Separate Error Logs from Info Logs
Write different log levels to separate files for better analysis.
.WriteTo.Logger(l =andgt; l.Filter.ByIncludingOnly(e =andgt; e.Level == LogEventLevel.Error)
                           .WriteTo.File("logs/errors.txt"))
.WriteTo.Logger(l =andgt; l.Filter.ByIncludingOnly(e =andgt; e.Level == LogEventLevel.Information)
                           .WriteTo.File("logs/info.txt"))
9. Avoid Logging Sensitive Data
Do not log passwords, tokens, connection strings, or PII. Mask or omit them before logging.
10. Monitor Disk Usage
Set alerts or thresholds to prevent log files from consuming all disk space.
Summary Table
Practice
Description
Use a logging framework
Avoid manual file handling
Rotate logs
Based on size, date, or interval
Compress old logs
Save disk space
Manage log levels
Avoid unnecessary verbosity
Async logging
Non-blocking writes
Cleanup logs
Automatically remove old files
Structured logging
Easier querying (e.g., JSON)
Split by severity
Separate error and info logs
Sanitize data
Avoid sensitive information in logs
Monitor disk space
Prevent disk exhaustion

forum

What are the best practices to handle large log files in C#?

ICSM Computer

Can you answer this question?

1 Answers

Best Practices to Handle Large Log Files in C#

1. Use a Logging Framework

2. Enable Log File Rotation (Rolling Logs)

3. Compress Old Log Files

4. Log Level Management

5. Asynchronous Logging

6. Limit Retention (Log Cleanup)

7. Use Structured Logging

8. Separate Error Logs from Info Logs

9. Avoid Logging Sensitive Data

10. Monitor Disk Usage

Summary Table

Liked By

Practice	Description
Use a logging framework	Avoid manual file handling
Rotate logs	Based on size, date, or interval
Compress old logs	Save disk space
Manage log levels	Avoid unnecessary verbosity
Async logging	Non-blocking writes
Cleanup logs	Automatically remove old files
Structured logging	Easier querying (e.g., JSON)
Split by severity	Separate error and info logs
Sanitize data	Avoid sensitive information in logs
Monitor disk space	Prevent disk exhaustion