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Summary | 41 Annotations
better visibility into our complex operational environments
2020/06/20 03:22
insights
2020/06/20 03:23
a stream-processing service platform
2020/06/20 03:24
8 million events per second
2020/06/20 03:24
Mantis shrimp
2020/06/20 03:29
speed, power, and incredible visibility
2020/06/20 03:29
low-latency
2020/06/20 03:30
high throughput
2020/06/20 03:30
too much data
2020/06/20 03:31
too little at the same time
2020/06/20 03:31
granularity
2020/06/20 08:33
long tail of problems
2020/06/20 08:34
cloud native
2020/06/20 08:36
a shared pool of computing resources
2020/06/20 08:36
a flexible model for defining a stream-processing job
2020/06/20 08:36
high-volume
2020/06/20 08:37
high-cardinality event streams
2020/06/20 08:37
source
2020/06/20 08:37
processing stages
2020/06/20 08:37
sink to collect and output the processed data
2020/06/20 08:38
stateful computations
2020/06/20 08:40
error rates per device type
2020/06/20 08:40
efficient data and code reuse
2020/06/20 08:41
anomaly detector application
2020/06/20 08:59
peak capacity all the time
2020/06/20 09:49
Mantis autoscales both the cluster size and the individual jobs as needed
2020/06/20 09:49
autoscales the Mesos worker cluster
2020/06/20 09:50
individual job’s autoscaling in action
2020/06/20 09:51
UI for Self-service
2020/06/20 09:51
API for Integration
2020/06/20 09:51
The UI gives users the ability to quickly and manually interact with jobs and platform functionality
2020/06/20 09:52
API enables easy programmatic integration with automated workflows
2020/06/20 09:52
alerting on individual video titles across countries and device
2020/06/20 10:02
anomalies in high-volume, high-cardinality data in realtime
2020/06/20 10:09
fine-grained insights
2020/06/20 10:10
rolling windows of unique events per asset
2020/06/20 10:34
key performance indicator
2020/06/20 10:38
time to detect (TTD)
2020/06/20 10:38
time to recover, or TTR
2020/06/20 10:39
insights capabilities
2020/06/20 10:41
stream-processing evolve as an important and complementary tool in our operational and insights toolset at Netflix
2020/06/20 10:41