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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic.

Media 237
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Simplify troubleshooting with AI-powered insights into connection pool performance (Early Adopter)

Dynatrace

Most applications communicate with databases to, for example, pull a catalog entry or submit a new record when an order is placed. To achieve this, there must be a healthy connection between the application and the database. Application servers use connection pools to maintain connections with the databases that they communicate with.

Traffic 138
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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

FlexBalancer makes it easy to manage traffic between multiple CDN providers, API’s, Databases or any custom endpoint helping you achieve better performance, ensure the availability of services and reduce vendor costs. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data.

Java 116
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

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Evolution of Netflix Conductor:

The Netflix TechBlog

The Netflix Media Database (NMDB) is one such example. Below is a snapshot of our Kibana dashboard which shows the workflow execution metrics over a typical 7-day period. Developer Labs, Logging and Metrics We have been continually improving logging and metrics, and revamped the documentation to reflect the latest state of Conductor.

Lambda 189
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The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 173
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Sponsored Post: PerfOps, InMemory.Net, Triplebyte, Etleap, Stream, Scalyr

High Scalability

FlexBalancer makes it easy to manage traffic between multiple CDN providers, API’s, Databases or any custom endpoint helping you achieve better performance, ensure the availability of services and reduce vendor costs. InMemory.Net provides a Dot Net native in memory database for analysing large amounts of data.