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![val requestCount = telemetry.counter("outgoing_http_requests_total",
"A counter for the HTTP requests",
"service", "method", "status", "statusClass")
send
requestCount
.labels(
serviceName,
request.getMethod,
response.getStatus,
response.getStatusClass
).inc()
query SUM(rate(outgoing_http_requests_total{statusClass!="2xx"}[10m]))
by (service, method, status)](https://image.slidesharecdn.com/slides-cut-160208170153/75/BFF-Pattern-in-Action-SoundCloud-s-Microservices-78-2048.jpg)
Uploaded byBora Tunca
BFF Pattern in Action: SoundCloud’s Microservices
The document discusses the implementation of the Backend for Frontend (BFF) pattern at SoundCloud as part of their microservices architecture, detailing various API layers and functionalities. It emphasizes the importance of scalable data collection and operational simplicity through tools like Prometheus for monitoring. Additionally, it covers the organization's approach to handling traffic bursts and failures gracefully within their service infrastructure.
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- 3. Bora Tunca Joined SoundCloud2.5 years ago soundcloud.com front-end client specific apis core-services @grandbora
- 4. SoundCloud is the largestonline audio distribution platform
- 5. 12 HOURS OFAUDIO every minute
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- 28. Api-v2 Api-mobile Api-embeddedPublic API Edge Layer messages MOTHERSHIP likes search stats images
- 29. Api-v2 Api-mobile Api-embeddedPublic API Edge Layer Client Applications Microservices messages MOTHERSHIP likes search stats images
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- 36. BFF authentication geolocation features 1
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- 44. messages MOTHERSHIP BFF likes search stats images authentication geo locationfeatures BFF BFFBFF BFFBFF
- 45. messages MOTHERSHIP BFF likes search stats images authentication geo locationfeatures BFF BFFBFF BFFBFF Critical Path
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- 47. Be ready fortraffic bursts On critical path…
- 48. Be ready fortraffic bursts Handle failures gracefully On critical path…
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- 58. images userstracks Foundation Layer playlistsstreamprofiles Value Added Layer
- 59. images userstracks Foundation Layer playlistsstreamprofiles Value Added Layer
- 60. images userstracks Foundation Layer playlistsstreamprofiles Value Added Layer
- 61. BFF BFF images userstracks FoundationLayer playlistsstream profiles Value Added Layer
- 62. BFF BFF images userstracks FoundationLayer playlistsstream profiles Value Added Layer MOTHERSHIP
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- 67. Prometheus Scalable data collection Operationalsimplicity Multi-dimensional data Powerful query language https://developers.soundcloud.com/blog/prometheus-monitoring-at-soundcloud http://prometheus.io/
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- 75. Prometheus My Service jvm client MyService jvm client My Service jvm client My Service jvm client My Service jvm client My Service jvm client My Service jvm client My Service jvm client My Service jvm client My Service jvm client
- 77. val requestCount =telemetry.counter("outgoing_http_requests_total", "A counter for the HTTP requests", "service", "method", "status", "statusClass") send requestCount .labels( serviceName, request.getMethod, response.getStatus, response.getStatusClass ).inc()
- 78. val requestCount =telemetry.counter("outgoing_http_requests_total", "A counter for the HTTP requests", "service", "method", "status", "statusClass") send requestCount .labels( serviceName, request.getMethod, response.getStatus, response.getStatusClass ).inc() query SUM(rate(outgoing_http_requests_total{statusClass!="2xx"}[10m])) by (service, method, status)
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- 84. manifest.json { "name": "trackmetadata", "type": "internal_service", "description":"Track Metadata service", "contact_email": "xxxxxxx", "owner": "core-services", "status": "production", "alert_service": "pagerduty.com/xxxx", "telemetry_dashboard": "http://promdash/trackmetadata", "data_sensitivity": xxxx, "dependencies": xxxx, "slo": { "error_rate_threshold": 0.1, "latency_p99_threshold_seconds": 0.02, "availability_target": 0.99999, "metrics_server": "http://prometheus/trackmetadata" } }
- 85. manifest.json { "name": "trackmetadata", "type": "internal_service", "description":"Track Metadata service", "contact_email": "xxxxxxx", "owner": "core-services", "status": "production", "alert_service": "pagerduty.com/xxxx", "telemetry_dashboard": "http://promdash/trackmetadata", "data_sensitivity": xxxx, "dependencies": xxxx, "slo": { "error_rate_threshold": 0.1, "latency_p99_threshold_seconds": 0.02, "availability_target": 0.99999, "metrics_server": "http://prometheus/trackmetadata" } }
- 86. manifest.json { "name": "trackmetadata", "type": "internal_service", "description":"Track Metadata service", "contact_email": "xxxxxxx", "owner": "core-services", "status": "production", "alert_service": "pagerduty.com/xxxx", "telemetry_dashboard": "http://promdash/trackmetadata", "data_sensitivity": xxxx, "dependencies": xxxx, "slo": { "error_rate_threshold": 0.1, "latency_p99_threshold_seconds": 0.02, "availability_target": 0.99999, "metrics_server": "http://prometheus/trackmetadata" } }
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- 91. RECAP Knowledge sharing Evolving thearchitecture
- 92. RECAP Knowledge sharing Evolving thearchitecture Monitoring
- 93. backstage.soundcloud.com @pcalcado - Howwe ended up with microservices @starcoffe - Why SoundCloud stopped using its own public API InfoQ - Moving from a Monolith to Microservices at SoundCloud
- 94. Netflix API GatewayPattern http://techblog.netflix.com/2013/01/optimizing-netflix-api.html
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