Kastor-DSP Source Client: Complete Setup and Integration Guide

Troubleshooting Kastor-DSP Source Client: Common Issues & Fixes

1. Installation failures

  • Symptom: Installer exits early or dependency errors.
  • Likely cause: Missing runtime (e.g., specific Python/Java/.NET), incorrect permissions, or corrupted package.
  • Fixes:
    1. Confirm required runtime/version and install/update it.
    2. Run installer with admin/root privileges.
    3. Verify checksum of the package; re-download if mismatch.
    4. Check installer logs (typically in /var/log or %APPDATA%); search for specific error codes.

2. Client fails to connect to DSP server

  • Symptom: Connection timeouts, authentication errors, or intermittent connectivity.
  • Likely cause: Network issues, firewall/port blocking, wrong endpoint or credentials, TLS certificate problems.
  • Fixes:
    1. Ping/traceroute the server and test TCP port with telnet/nc.
    2. Verify endpoint URL, port, and credentials in client config.
    3. Check firewall/NAT rules and open required ports.
    4. If TLS errors appear, validate server certificate chain and system time; add CA to trust store if using a private CA.
    5. Enable verbose client logging to capture TLS handshake and auth steps.

3. Authentication/authorization failures

  • Symptom:403 responses, token refresh failures.
  • Likely cause: Expired/invalid tokens, clock drift, incorrect scopes/roles.
  • Fixes:
    1. Confirm token issuance and expiry times; refresh tokens as required.
    2. Ensure system clock is synced (NTP).
    3. Verify client ID/secret and that the account has necessary roles.
    4. Inspect server auth logs for rejected tokens and error reasons.

4. Data mismatches or missing impressions/clicks

  • Symptom: Reported metrics differ between client and DSP, missing events.
  • Likely cause: Event batching/delays, filtering rules, incorrect event formatting, dropped requests.
  • Fixes:
    1. Check batching configuration and delivery intervals.
    2. Validate event schema and required fields match DSP spec.
    3. Inspect request/response logs for HTTP errors or 4xx/5xx responses.
    4. Replay failed events from client retry logs.
    5. Compare timestamps and timezone handling.

5. High latency or performance degradation

  • Symptom: Slow responses, timeouts under load.
  • Likely cause: Resource limits, inefficient batching, network congestion, or server-side throttling.
  • Fixes:
    1. Profile client CPU/memory and increase resources or concurrency limits.
    2. Optimize batch sizes and backoff strategies.
    3. Use connection pooling and keep-alive.
    4. Monitor for HTTP 429 and implement exponential backoff.
    5. Test from different regions to isolate network issues.

6. Configuration errors after upgrades

  • Symptom: Previously working settings break post-upgrade.
  • Likely cause: Deprecated options, config schema changes, incompatible defaults.
  • Fixes:
    1. Review release notes for breaking changes.
    2. Validate config against new schema; migrate settings using provided tools.
    3. Keep a backup of the previous config to compare.

7. Log noise or missing debug information

  • Symptom: Insufficient logs to diagnose issues or logs too verbose.
  • Likely cause: Incorrect log level or misconfigured log sinks.
  • Fixes:
    1. Set log level to DEBUG for troubleshooting, then revert to INFO.
    2. Ensure logs are written to persistent storage and rotated.
    3. Enable structured logging or request/response capture if available.

8. SDK/API incompatibilities

  • Symptom: Runtime errors invoking client SDK functions.
  • Likely cause: Version mismatches between client SDK and DSP API.
  • Fixes:
    1. Lock SDK and API versions; upgrade both if needed.
    2. Run unit tests that exercise API calls.
    3. Check changelogs for removed/renamed endpoints.

Diagnostic checklist (run these in order)

  1. Confirm versions (client, SDK, runtime).
  2. Check network connectivity and DNS.
  3. Verify credentials and clocks.
  4. Enable verbose logs and reproduce the issue.
  5. Search logs for HTTP status codes and error messages.
  6. Replay or capture failing requests.
  7. Consult release notes and API spec.

If you want, I can produce a tailored troubleshooting script or checklist for your environment (Linux/Windows, language/runtime).

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *