An asynchronous wrapper for other Serilog sinks. Use this sink to reduce the overhead of logging calls by delegating work to a background thread. This is especially suited to non-batching sinks like the File and RollingFile sinks that may be affected by I/O bottlenecks.

Note: many of the network-based sinks (CouchDB, Elasticsearch, MongoDB, Seq, Splunk...) already perform asynchronous batching natively and do not benefit from this wrapper.

Install from NuGet:

dotnet add package Serilog.Sinks.Async

Assuming you have already installed the target sink, such as the file sink, move the wrapped sink's configuration within a WriteTo.Async() statement:

Log.Logger = new LoggerConfiguration()
    .WriteTo.Async(a => a.File("logs/myapp.log"))
    // Other logger configuration
    .CreateLogger()

Log.Information("This will be written to disk on the worker thread");

// At application shutdown (results in monitors getting StopMonitoring calls)
Log.CloseAndFlush();

The wrapped sink (File in this case) will be invoked on a worker thread while your application's thread gets on with more important stuff.

Because the memory buffer may contain events that have not yet been written to the target sink, it is important to call Log.CloseAndFlush() or Logger.Dispose() when the application exits.

The default memory buffer feeding the worker thread is capped to 10,000 items, after which arriving events will be dropped. To increase or decrease this limit, specify it when configuring the async sink. One can determine whether events have been dropped via Serilog.Async.IAsyncLogEventSinkInspector.DroppedMessagesCount (see Sink State Inspection interface below).

// Reduce the buffer to 500 events
.WriteTo.Async(a => a.File("logs/myapp.log"), bufferSize: 500)

The Async wrapper is primarily intended to allow one to achieve minimal logging latency at all times, even when writing to sinks that may momentarily block during the course of their processing (e.g., a File Sink might block for a low number of ms while flushing). The dropping behavior is an important failsafe; it avoids having an unbounded buffering behaviour should logging throughput overwhelm the sink, or the sink ingestion throughput degrade.

In practice, this configuration (assuming one provisions an adequate bufferSize) achieves an efficient and resilient logging configuration that can safely handle load without impacting processing throughput. The risk is of course that events get be dropped if the buffer threshold gets breached. The inspection interface, IAsyncLogEventSinkInspector (obtained by providing an IAsyncLogEventSinkMonitor when configuring the Async Sink), enables a health monitoring mechanism to actively validate that the buffer allocation is not being exceeded in practice.

// Example check: log message to an out of band alarm channel if logging is showing signs of getting overwhelmed
void ExecuteAsyncBufferCheck(IAsyncLogEventSinkInspector inspector)
{
    var usagePct = inspector.Count * 100 / inspector.BufferSize;
    if (usagePct > 50) SelfLog.WriteLine("Log buffer exceeded {0:p0} usage (limit: {1})", usagePct, inspector.BufferSize);
}

class MonitorConfiguration : IAsyncLogEventSinkMonitor
{
    public void StartMonitoring(IAsyncLogEventSinkInspector inspector) =>
        HealthMonitor.AddPeriodicCheck(() => ExecuteAsyncBufferCheck(inspector));

    public void StopMonitoring(IAsyncLogEventSinkInspector inspector) 
    { /* reverse of StartMonitoring */ }
}

// Provide monitor so we can wire the health check to the inspector
var monitor = new MonitorConfiguration();
// Use default config (drop events if >10,000 backlog)
.WriteTo.Async(a => a.File("logs/myapp.log"), monitor: monitor) ...

Warning: For the same reason one typically does not want exceptions from logging to leak into the execution path, one typically does not want a logger to be able to have the side-effect of actually interrupting application processing until the log propagation has been unblocked.

When the buffer size limit is reached, the default behavior is to drop any further attempted writes until the queue abates, reporting each such failure to the Serilog.Debugging.SelfLog. To replace this with a blocking behaviour, set blockWhenFull to true.

// Wait for any queued event to be accepted by the `File` log before allowing the calling thread to resume its
// application work after a logging call when there are 10,000 LogEvents awaiting ingestion by the pipeline
.WriteTo.Async(a => a.File("logs/myapp.log"), blockWhenFull: true)

Using Serilog.Settings.Configuration JSON:

{
  "Serilog": {
    "WriteTo": [{
      "Name": "Async",
      "Args": {
        "configure": [{
          "Name": "Console"
        }]
      }
    }]
  }
}

XML configuration support has not yet been added for this wrapper.

This sink was created following this conversation thread: serilog/serilog#809.