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gibsondanDagster Devtools
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Add troubleshooting guide for Kubernetes agent network issues (#21642)
## Summary & Motivation This PR adds a comprehensive troubleshooting section to the Kubernetes hybrid deployment documentation to help users diagnose and resolve network connectivity issues between the Dagster agent and the Dagster+ API. The new section documents: - Common error symptoms (request timeouts, connection resets) - Root causes (NAT gateway timeouts, port exhaustion, proxy limits) - Three actionable solutions: 1. Upgrading to Dagster 1.5.9+ for automatic retry logic 2. Enabling TCP keepalive settings via Helm chart configuration (recommended) 3. Using a CDN/proxy for connection pooling This addresses a known pain point in Kubernetes hybrid deployments where network egress through NAT gateways or proxies can cause idle connections to be dropped. ## Test Plan N/A - Documentation only change ## Changelog Added troubleshooting guide for Kubernetes agent network connectivity issues, including TCP keepalive configuration recommendations for Helm chart deployments. https://claude.ai/code/session_013mN1tchVY3zJtff2Ya8j3v Internal-RevId: f5fb38258ebd06d0c278a49353e9aca27781740c
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docs/docs/deployment/troubleshooting/hybrid-optimizing-troubleshooting.md

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| Load or health check timeouts when you click into the location or expand assets in the UI. | |
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| During runs:<br /><ul><li>`Worker exited with SIGKILL (OOM)` error</li><li>Python `MemoryError` from libraries (pandas, numpy, PyTorch, etc.)</li><li>gRPC DeadlineExceeded mid-run when the user code process stalls under GC or thrash.</li></ul> | Increase memory in code server container. |
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| Sensors/schedules that query a large graph timing out when the code server has limited CPU. | Increase CPU in code server container. |
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### Network connectivity troubleshooting
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If you see errors like the following in your agent logs, your agent may be experiencing network connectivity issues when communicating with the Dagster+ API:
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```
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dagster_cloud_cli.core.errors.GraphQLStorageError: HTTPSConnectionPool(host='{organisation}.agent.dagster.cloud', port=443): Read timed out. (read timeout=60)
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```
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```
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requests.exceptions.ConnectionError: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
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```
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These errors typically occur in Hybrid deployments where network egress traverses NAT gateways or proxies that impose connection timeouts or drop idle connections. Common causes include:
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- **NAT gateway timeouts:** Cloud NAT services (such as GCP CloudNAT or AWS NAT Gateway) may drop idle connections
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- **Port/IP exhaustion:** High traffic through NAT gateways can exhaust available ports
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- **Proxy connection limits:** Corporate proxies may impose connection duration limits
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#### Enable TCP keepalive \{#tcp-keepalive}
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You can configure TCP keepalive settings to prevent NAT gateways and proxies from dropping idle connections. For Kubernetes agents, add the following to your Helm `values.yaml`:
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```yaml
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# values.yaml
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dagsterCloud:
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socketOptions:
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- ["SOL_SOCKET", "SO_KEEPALIVE", 1]
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- ["IPPROTO_TCP", "TCP_KEEPIDLE", 11]
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- ["IPPROTO_TCP", "TCP_KEEPINTVL", 7]
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- ["IPPROTO_TCP", "TCP_KEEPCNT", 5]
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```
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```shell
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helm --namespace dagster-cloud upgrade agent \
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dagster-cloud/dagster-cloud-agent \
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--values ./values.yaml
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```
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These settings configure the TCP stack to:
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- Enable keepalive probes on connections (`SO_KEEPALIVE`)
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- Send the first keepalive probe after 11 seconds of idle time (`TCP_KEEPIDLE`)
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- Send subsequent probes every 7 seconds (`TCP_KEEPINTVL`)
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- Close the connection after 5 failed probes (`TCP_KEEPCNT`)

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