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I've been experiencing inconsistent sync speeds when using CloudSyncPro across multiple devices. I've tried adjusting the chunk size and increasing the parallel uploads, but the performance plateaued after a certain point. Does anyone have tips on optimizing network usage or configuration tweaks for large file sets?

What I've tried so far:

• Chunk size: 4 MB → 16 MB → 64 MB
• Parallel transfers: 2 → 4 → 8
• Enabled compression (gzip)

Results seem to improve up to 16 MB chunks with 4 parallel streams, but then I see diminishing returns and occasional timeouts.

# Sample config snippet
[Sync]
chunk_size = 16777216
parallel = 4
compression = true

In my experience, the network latency plays a bigger role than raw bandwidth once you hit a certain parallelism. I recommend using a dynamic chunk sizing algorithm that ramps up based on observed RTT.

Here's a small Python helper you can drop into your sync client:

import time, random

def adaptive_chunk(base=4*1024*1024, max_factor=8):
    rtt = measure_rtt()
    factor = min(max_factor, max(1, int(1 / (rtt/0.1))))
    return base * factor

def measure_rtt():
    # Simple ping to the sync endpoint
    start = time.time()
    # replace with real ping
    time.sleep(random.uniform(0.05, 0.2))
    return time.time() - start

It automatically adjusts chunk size between 4 MB and 32 MB depending on latency.

Also, consider enabling TCP BBR on your Linux boxes if you haven't already. It helps achieve higher throughput on high‑latency links.

Command:

sudo sysctl -w net.core.default_qdisc=fq
sudo sysctl -w net.ipv4.tcp_congestion_control=bbr

After enabling BBR, my sync rates increased by ~15% on a 100 Mbps connection.