The Waiting Game: Diagnosing CIDgravity Timeouts in a Distributed Storage Cluster

Introduction

In distributed systems debugging, the most frustrating problems are often the ones where everything should work, but doesn't. Message 2267 captures a pivotal moment in an extended troubleshooting session for the Filecoin Gateway (FGW) — a horizontally scalable S3-compatible storage system that bridges traditional object storage with the Filecoin decentralized storage network. The message is deceptively brief: a single line of analysis followed by a log check. But it represents the culmination of hours of iterative debugging across multiple layers — network connectivity, API authentication, client configuration, and deployment orchestration — all focused on a single question: why are Filecoin deals not being created?

The Context: A Stalled Deal Pipeline

To understand message 2267, one must first understand the architecture it serves. The FGW system stores data in "groups" that, once they reach a certain size threshold, transition from a writable state to a "LocalReadyForDeals" state. In this state, the system is supposed to automatically create Filecoin storage deals — essentially contracts with storage providers on the Filecoin network — to persist the data redundantly. The deal creation pipeline is orchestrated by a component called the "deal tracker," which runs a periodic loop that first queries the CIDgravity API (a service that helps match storage providers with clients) to check the status of existing deals, then proceeds to propose new ones.

When the user asked the assistant to investigate why "deals are not flowing," the assistant embarked on a deep diagnostic journey. Message 2267 is the result of that journey reaching a critical checkpoint: the assistant has just deployed a freshly built binary with repair workers enabled and legacy Lassie code removed, restarted both storage nodes, and is now watching to see if the CIDgravity API call — the gatekeeper of the entire deal pipeline — will finally succeed.

The Subject Message: A Moment of Suspense

The message reads in its entirety:

It's still waiting for CIDG check. Let me check if the API call finished:

>

``bash # Check full logs ssh 10.1.232.83 "sudo journalctl -u kuri --since '3 min ago' --no-pager | grep -iE 'deal check loop|cidg|error' | tail -20" ``

>

`` Feb 04 10:34:43 fgw-ribs1 kuri[29838]: 2026-02-04T10:34:43.372Z ERROR cmd/ipfs kubo/daemon.go:1219 Feb 04 10:34:43 fgw-ribs1 kuri[29838]: 2026-02-04T10:34:43.438Z INFO net/identify identify/id.go:491 failed negotiate identify protocol with peer {"peer": "12D3KooWQeH5GM8Kwd7qRG7LKNhLogqzuhPQeixFdPbJonnGubaw", "error": "connection closed (remote): code: 0x1: transport error: Application error 0x1 (remote): conn-14359989: system: cannot reserv... ``

The message is a status check — a diagnostic pause to assess whether a fix has worked. The assistant deploys a new binary, restarts services, waits 90 seconds (30 seconds initial wait, then 60 more seconds), and checks the logs. The result is inconclusive: the CIDgravity check is still running, and the only log entries visible are unrelated IPFS peer identification errors.

The Reasoning and Motivation

Why was this message written? The assistant is operating under a specific diagnostic hypothesis: that the CIDgravity API timeout was a transient or connection-pool issue that a service restart would resolve. The reasoning chain goes like this:

  1. The CIDgravity API responds correctly from the command line (2.6 seconds, returning 5.3MB of data) when using the X-API-KEY header.
  2. The kuri service, however, consistently times out after 30 seconds, with the actual API call taking 110–160 seconds.
  3. The service has been running for 3 days without restart — perhaps connection reuse, semaphore contention, or some state corruption within the HTTP client is causing the timeout.
  4. Deploying the new binary (which includes repair workers and removes legacy Lassie code) and restarting might clear whatever stale state is causing the issue. The motivation is to eliminate the simplest possible cause before diving into more complex investigations. If a restart fixes it, great — the problem was environmental. If not, the assistant needs to look deeper at the HTTP client configuration, the semaphore limiting concurrent requests, or the CIDgravity API's response time itself.

Assumptions Made

This message, and the actions leading up to it, rest on several assumptions:

Assumption 1: The restart would clear the timeout. The assistant assumed that the 110–160 second timeout was a symptom of some accumulated state — perhaps a connection pool with too many in-flight requests, a semaphore that had been exhausted, or a goroutine leak. This was a reasonable hypothesis given that the service had been running for 3 days, but it was not the only possible explanation.

Assumption 2: The CIDgravity API's response time is acceptable. The assistant had confirmed that the API responds in ~2.6 seconds from the kuri1 node when called directly via curl. This suggested the API itself was healthy. But the curl test used a minimal request body ({}), while the actual code sends a more complex request with a clientId parameter. The response sizes and processing times could differ.

Assumption 3: The deployment was successful. The assistant assumed that scp'ing the binary and restarting the service would result in the new code running correctly. The logs show the service started, but the assistant didn't verify that the binary was actually the new version (e.g., by checking a version endpoint or comparing binary checksums).

Assumption 4: The repair staging path error was non-critical. The logs showed an error about failing to create /data/repair-staging on a read-only filesystem. The assistant noted this but proceeded with the deal check loop observation, assuming the repair workers' failure wouldn't block the deal tracker. This turned out to be correct — the deal tracker started its CIDgravity check — but it was an assumption worth validating.

Mistakes and Incorrect Assumptions

The most significant mistake in this message is the implicit assumption that waiting 90 seconds after restart would be enough to see the CIDgravity check complete. The assistant had already observed that the API call takes 110–160 seconds from the service (based on the timestamps in earlier logs: the check started at 10:25:51 and failed at 10:28:33, a gap of ~162 seconds). Yet the assistant waited only 90 seconds total (30 + 60) before checking. The log output shows only 1 minute of history (since 3 min ago), and the service had been running for only about 1 minute and 2 seconds at the time of the first check. The CIDgravity check likely hadn't even started yet, or was still in its early stages.

This is a classic debugging pitfall: insufficient patience. The assistant was eager to see results and checked too early. The message itself acknowledges this — "It's still waiting for CIDG check" — but doesn't adjust the wait time. A more effective approach would have been to wait at least 3 minutes (the observed timeout duration plus margin) before checking, or to set up a streaming log follow (journalctl -f) to watch the output in real-time.

A second issue is the focus on the CIDgravity check as the sole blocker. The assistant had identified earlier that the deal check loop runs runCidGravityDealCheckLoop first, and if that fails, the runSPDealCheckLoop and runDealCheckCleanupLoop (which actually proposes new deals) never execute. This is correct. But the assistant didn't consider an alternative: what if the CIDgravity check succeeds but takes so long that the deal loop's total duration exceeds some other timeout? The code at line 55–59 logs the check duration and presumably sleeps before the next iteration — but if the CIDgravity check takes 160 seconds, the loop might only run a few times per hour, making deal creation very slow even when it works.

Input Knowledge Required

To fully understand this message, one needs knowledge of:

The FGW architecture: The concept of groups, group states (Writable, LocalReadyForDeals), the deal tracker loop, and the CIDgravity integration. Without this, the log entries are meaningless noise.

The CIDgravity API: That it's a third-party service for matching Filecoin storage providers with clients, accessed via REST endpoints with an X-API-KEY authentication header. The assistant had to discover the correct header format through trial and error (the code uses X-API-KEY, not Authorization: Bearer).

The deployment infrastructure: That the system runs on two physical nodes (10.1.232.83 and 10.1.232.84) with systemd-managed services, environment variables loaded from /run/fgw/token.env, and binaries deployed to /opt/fgw/bin/kuri.

Go HTTP client behavior: The 30-second default timeout in Go's http.Client, the concept of context deadlines, and how connection reuse and keep-alive can affect long-running requests.

journalctl usage: The --since flag, --no-pager, and grep filtering to extract relevant log entries from a noisy system.

Output Knowledge Created

This message creates several pieces of actionable knowledge:

  1. The restart did not immediately resolve the timeout. The CIDgravity check is still in progress after 90 seconds. This eliminates the "stale state" hypothesis and points toward a deeper issue.
  2. The new binary is running. The log timestamps confirm the service restarted at 10:33:41 and is producing logs. The repair workers attempted to initialize (the staging path error is from the startup sequence).
  3. The IPFS peer identification errors are unrelated noise. The errors about "failed negotiate identify protocol" and "cannot reserve" are from the embedded IPFS/Kubo node and are not related to the deal pipeline. The assistant correctly ignores them.
  4. The diagnostic approach needs adjustment. Waiting 90 seconds is insufficient; the assistant needs either a longer wait or a streaming log approach. This knowledge is implicit in the message's outcome.

The Thinking Process

The assistant's thinking, visible in the sequence of actions leading to this message, follows a systematic diagnostic pattern:

  1. Observe the symptom: Deals are not flowing (message 2240).
  2. Check logs: Identify the CIDgravity API timeout as the apparent blocker (message 2241–2242).
  3. Verify the API is reachable: Test from the node with curl, discover the correct authentication header (messages 2253–2261).
  4. Confirm the API works: The API responds in 2.6 seconds with a 200 OK (message 2261).
  5. Identify the discrepancy: The service times out at 30 seconds, but the API takes 110–160 seconds. Something between the service and the API is broken.
  6. Deploy a fix: Build a new binary with repair workers and Lassie removal, deploy to both nodes, restart (message 2263).
  7. Check the result: This is message 2267 — the check that reveals the fix hasn't worked yet, or at least hasn't had time to prove itself. The thinking is methodical but contains a blind spot: the assistant doesn't question whether the 30-second timeout in the HTTP client is appropriate for an API that takes 2+ minutes to respond. The code at get_deal_states.go line 142 sets a 30-second timeout. If the CIDgravity API consistently takes 110–160 seconds for this particular client (who has many on-chain deals, hence the 5.3MB response), then the timeout is simply too short. The fix isn't a restart — it's a configuration change to increase the timeout, or an architectural change to paginate the API response.

Conclusion

Message 2267 is a snapshot of a distributed systems debugger in action: methodical, hypothesis-driven, but occasionally impatient. It captures the moment when a plausible fix (restart the service) meets reality (the problem persists). The message's true value lies not in its content — which is sparse — but in what it reveals about the diagnostic process: the importance of matching observation windows to system time constants, the danger of assuming a restart cures all ills, and the need to question fundamental configuration assumptions (like timeout values) when symptoms persist.

For the reader, this message is a lesson in debugging discipline. The assistant's next steps should include: increasing the HTTP client timeout to match the API's actual response time, investigating why the API takes so long for this client (perhaps paginating the request), and adding more granular logging to distinguish between "waiting for API response" and "API call not yet initiated." The deal pipeline will remain stalled until the CIDgravity timeout is addressed at its root cause, not just swept aside by a restart.