README.md in batch_queue-1.0.0 vs README.md in batch_queue-1.1.0

@@ -1,10 +1,11 @@
 # BatchQueue
 
 BatchQueue is queue that takes jobs and runs them, in aggregate, via a callback on a background thread.  You can process a “batch” of N jobs at a time or after T seconds whichever comes sooner.
 
-Example: You want to send metrics to Amazon’s AWS CloudWatch service every 60 seconds or when the batch size reaches 20, whichever comes first. You might write code like this:
+## Example
+You want to send metrics to Amazon’s AWS CloudWatch service every 60 seconds or when the batch size reaches 20, whichever comes first. You might write code like this:
 
 ```
 # Create the AWS CloudWatch Client
 cw_client = Aws::CloudWatch::Client.new(...)
 
@@ -57,10 +58,33 @@
 or
 ```
 bq << MyJob.new(...)
 
 ```
+### 3. Error handling
+You have two options for handling errors in `BatchQueue`:
 
+* Rescue exceptions within the processing block:
+
+  ```
+  bq = BatchQueue.new(max_batch_size: 20, max_interval_seconds: 60) do |batch_metric_data|
+    begin
+        # Put your code that you want to execute here.
+    rescue => e
+        # Handle the exception here.
+    end
+  end
+
+  ```
+
+* Set a global error handler:
+
+  ```
+  bq.on_error = ->(e) { puts e.message }
+  ```
+
+If neither method is used, `BatchQueue` will catch the exception and print it to 
+the standard console output.
 
 ## Development
 
 After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake test` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment.