2022-02-12: Camoproxy error rate exceeds SLO

Incident DRI

Current Status

Some requests through camoproxy are timing out. This appears to be due to slow responses during HTTP header exchange from the 3rd party upstream image source.

It only affects images hosted by that particular 3rd party provider.

Background: Camoproxy provides a proxying service allowing users to include images/videos in GitLab.com content while preserving the privacy of their upstream 3rd party image source URLs.

Summary for CMOC notice / Exec summary:

1. Customer Impact: Certain 3rd party images are not displayed due to timeout between our proxy and the upstream 3rd party content provider. The scope of the problem is limited to just that 3rd party provider.
2. Service Impact: ServiceCamoproxy
3. Impact Duration: start time UTC - end time UTC ( duration in minutes )
4. Root cause: TBD

Timeline

Recent Events (available internally only):

• Deployments
• Feature Flag Changes
• Infrastructure Configurations
• GCP Events (e.g. host failure)

All times UTC.

2022-02-12

• 16:05 - @msmiley declares incident in Slack.

Takeaways

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Corrective Actions

Corrective actions should be put here as soon as an incident is mitigated, ensure that all corrective actions mentioned in the notes below are included.

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Incident Review

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Customer Impact

1. Who was impacted by this incident? (i.e. external customers, internal customers)
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2. What was the customer experience during the incident? (i.e. preventing them from doing X, incorrect display of Y, ...)
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3. How many customers were affected?
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4. If a precise customer impact number is unknown, what is the estimated impact (number and ratio of failed requests, amount of traffic drop, ...)?
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What were the root causes?

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Incident Response Analysis

1. How was the incident detected?
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2. How could detection time be improved?
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3. How was the root cause diagnosed?
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4. How could time to diagnosis be improved?
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5. How did we reach the point where we knew how to mitigate the impact?
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6. How could time to mitigation be improved?
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7. What went well?
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Post Incident Analysis

1. Did we have other events in the past with the same root cause?
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2. Do we have existing backlog items that would've prevented or greatly reduced the impact of this incident?
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3. Was this incident triggered by a change (deployment of code or change to infrastructure)? If yes, link the issue.
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What went well?

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Guidelines

• Blameless RCA Guideline

Resources

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