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static/app/views/issueList/pages/missionControl.tsx

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@@ -77,10 +77,41 @@ const EXAMPLE_CARDS: MissionControlCard[] = [
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createdAt: '2024-01-22T14:30:00Z',
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priority: 11,
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data: {
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description:
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'Looks like the fixability endpoint in getsentry/seer could use some more granular span and profiling instrumentation. Uptime monitoring would also be helpful since it seems to be intermittently unavailable.',
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products: ['tracing', 'profiling', 'uptime'],
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purpose:
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'Improve observability for the fixability endpoint to better track intermittent failures when called from Seer Scanner.',
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observability_requests: [
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{
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description:
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'Add detailed tracing spans around the ML model inference pipeline to track processing time and identify bottlenecks in the fixability assessment workflow.',
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instrument_type: 'tracing',
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location:
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'getsentry/seer/src/seer/automation/fixpoint/api.py in the process_fixability_request function',
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},
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{
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description:
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'Implement profiling to identify memory usage patterns and CPU hotspots during model loading and inference phases.',
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instrument_type: 'profiling',
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location:
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'getsentry/seer/src/seer/automation/models/ module, specifically in model initialization and prediction methods',
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},
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{
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description:
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'Add structured logging with correlation IDs to track requests through the entire pipeline and capture error context.',
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instrument_type: 'logging',
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location:
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'getsentry/seer/src/seer/automation/fixpoint/api.py throughout the request lifecycle',
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},
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{
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description:
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'Tag requests with metadata like model version, request size, and processing mode to enable better filtering and analysis.',
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instrument_type: 'tagging',
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location:
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'getsentry/seer/src/seer/automation/fixpoint/api.py at the entry point of each request handler',
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},
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],
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sourceIssueId: '6678410850',
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},
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url: '/issues/6678410850/?seerDrawer=true',
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metadata: {
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source: 'hardcoded-demo',
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tags: ['instrumentation', 'setup'],

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