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Asked: 2024-09-25T18:33:45+05:30 In:

How can I resolve the issue of encountering an upstream connect error or a disconnect reset prior to receiving headers?

I’ve been running into this really frustrating issue lately, and I’m hoping someone out there might have some insights or solutions. So, here’s the deal: when I’m trying to connect to my backend service, I’m often met with this annoying upstream connect error or sometimes even a disconnect reset, all before I even get a glimpse of any headers. It’s like I’m less than a second away from getting what I need, and BAM, it’s a brick wall.

I’ve done my best to troubleshoot this on my own. I’ve checked the network configuration and even tried tweaking some of the timeout settings in both my application and the server. The logs are pretty unhelpful too; they just confirm that there was a connection issue but don’t really tell me why. I’ve also considered the possibility that it might be related to load balancers or even firewall settings, but honestly, I’m not sure where to focus my attention next.

Has anyone experienced this particular problem? What were your first steps in diagnosing and fixing it? I’m running a microservices architecture, and with all the moving parts, it feels like I might be missing some key configuration somewhere. Also, does anyone know of any tools that might help in tracking down these upstream issues?

I even thought about reaching out to my hosting provider’s support, but you know how that goes—the wait time alone could lead me down a rabbit hole of unnecessary stress.

If it helps, I’m using Kubernetes for orchestration and Envoy as my API gateway. I suspect there’s something happening in the way the traffic is routed, but where do I even begin? I’d really appreciate any advice from those who’ve dealt with similar issues or if you’ve got any tips that worked for you. Just trying to get back on track without pulling all my hair out! Thanks in advance!

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    2 Answers


    1. Wow, that sounds super frustrating! I can totally relate to those moments when everything seems to be on the verge of working and then you hit a wall. Here are a few things I would try if I were in your shoes:

      • Check Service Health: Make sure all your microservices are actually running and healthy. Sometimes a service can be down without you realizing it.
      • DNS Issues: Sometimes DNS resolution can cause troubles. You could try using IP addresses directly to see if that changes anything.
      • Timeout Settings: Since you’ve already played with timeout settings, maybe double-check all of them across your services. They need to be consistent.
      • Load Balancer Configuration: If there’s a load balancer, take a close look at its configuration. It might be misrouting or causing timeouts.
      • Logs and Traces: Even if logs aren’t helping much, try enabling more verbose logging or distributed tracing (like OpenTelemetry) to get a clearer picture of what’s happening.
      • Networking Tools: Tools like PingPlotter or TelnetTool can help you see if there are network issues that are hard to catch.

      If you’re using Kubernetes, you can also use kubectl logs and kubectl describe to get insights into what’s happening with your pods. This can sometimes show you unexpected issues like CrashLoopBackOff.

      And I totally get the hesitation about contacting your hosting provider; the wait times can be endless. But if you do get stuck, it might still be worth a try. They might have insights specific to your setup.

      Hopefully, this helps get you on the right track! Good luck!



    2. It sounds like you’re encountering a common yet frustrating issue in microservices architectures, often stemming from network configuration or connectivity problems. When you get an upstream connect error or a disconnect reset, it’s essential to carefully examine your service discovery and routing configurations. Given that you’re using Kubernetes and Envoy, ensure that your services are correctly registered and that the appropriate readiness and liveness probes are configured. It would also be prudent to look at the Envoy configuration for any potential protocol mismatches or incorrect virtual services – subtle errors here can lead to connection issues. Additionally, check whether your services have enough resources allocated to handle the current load; sometimes, resource constraints can manifest as connection failures or timeouts. Tools like `kubectl` or `k9s` can be invaluable for observing pod status and logs more efficiently.

      If network policies or firewalls are involved, double-check those settings to ensure traffic is being routed correctly to the intended services. Using observability tools such as Prometheus, Grafana, or Jaeger can provide insights into the request flow and help identify where the bottlenecks occur. Furthermore, Envoy has excellent support for tracing and metrics, so enabling those features might give you greater visibility into the interactions between your microservices. Lastly, if you suspect that the issue lies with the load balancers, you may want to temporarily bypass them to see if that changes the behavior of your requests. Don’t hesitate to escalate to your hosting provider’s support, as they may have insights specific to their infrastructure that could be a missing piece of the puzzle.


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