Email Infrastructure Upgrade: Batched logging speed boosts

Mailbaby has recently overhauled our mail logging and processing systems. These technical changes translate directly into better performance and more reliable delivery for your business.

Here is a breakdown of what we changed, why we did it, and how it makes your experience better.


What Actually Changed?

In the past, every time an email was sent or received, our system had to talk directly to a massive database to record every detail of that event. While this worked for years there were areas that could bottleneck somtimes. It gets the job done, but the line moves more slowly during busy hours.

We have now introduced a High-Speed Buffer System using Dragonflydb. Instead of waiting for the big database to finish its “paperwork,” our mail servers now “drop” the log into a super-fast, temporary storage area and immediately move on to the next email. A separate, automated process then handles the database entry in the background.

Why is it so much faster?

The secret is Asynchronous Processing. By separating the act of “sending the mail” from the act of “recording the log,” we have removed the wait times that used to slow down our mail queues.

  • Memory vs. Disk: Our new buffer lives in the server’s RAM (memory), which is thousands of times faster than traditional database storage.
  • No More Waiting in Line: Our mail servers no longer have to wait for a database to say “Okay, I saved it” before sending the next message. They just fire and forget.
  • Batch Processing: Instead of performing 1,000 tiny, individual database tasks, our system now handles one large, efficient batch every minute. This is much easier on the hardware and prevents system “lag.”

The Benefits for You

You do not need to be a system administrator to appreciate the results of this upgrade. Here is what this means for your daily operations:

1. Faster SMTP Connections

When your email client (like Outlook or your website’s contact form) connects to our servers to send a message, the “handshake” happens almost instantly. There is no more waiting while the server tries to log the transaction in real-time.

2. Massive Scalability

If you are sending a high volume of mail—such as a weekly newsletter or transactional alerts for your shop—our system can now handle thousands of messages per second without breaking a sweat. The new buffer acts like a shock absorber during peak traffic hours.

3. Improved Reliability with Redundancy

We have implemented a Primary and Secondary backup system for these logs. If our main logging server needs a quick reboot or maintenance, the system automatically switches to a local backup. Your mail keeps moving, and no data is lost.

4. Better System Health

By moving the heavy database work to a background process, the actual mail-sending hardware stays cool and responsive. This reduces the risk of hardware strain and ensures that our infrastructure remains the most robust on the market.


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14 Replies to “Email Infrastructure Upgrade: Batched logging speed boosts”

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  5. omniakey

    The implementation of a high-speed buffer system using DragonflyDB and asynchronous processing sounds like a significant improvement for email logging. I’m curious about the specific metrics or benchmarks you used to quantify the “thousands of times faster” speed difference between RAM and traditional database storage for this use case.

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  8. omniakey

    The move to asynchronous logging with DragonflyDB makes sense, especially batching writes every minute instead of forcing each SMTP transaction to wait on the database. One detail I’d be curious about is how you monitor backpressure in the buffer during an extended database slowdown—do you alert on queue depth or age of the oldest pending log entry?

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  9. omniakey

    The move to asynchronous logging makes sense, especially batching database writes every minute instead of forcing each SMTP transaction to wait. One operational detail I’d be curious about is how quickly those buffered logs become visible to users during troubleshooting, since even a short delay can matter when tracking a delivery issue in real time.

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