Remove 2012 Remove Design Remove Traffic Remove Tuning
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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. To improve availability, we designed systems where components could fail separately and avoid single points of failure. Our internal IPC traffic is now a mix of plain REST, GraphQL , and gRPC.

Traffic 220
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Designed with High Availability in mind. Writing events to any output.

Database 197
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Nonetheless, we found a number of limitations that could not satisfy our requirements e.g. stalling the processing of log events until a dump is complete, missing ability to trigger dumps on demand, or implementations that block write traffic by using table locks. Designed with High Availability in mind. Writing events to any output.

Database 212
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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

Internet 128
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Structural Evolutions in Data

O'Reilly

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. Those algorithms packaged with scikit-learn? We do this all the time, when we ask “what if?”

Hardware 102