Data Engineering Processing Systems Tuning 
The Netflix TechBlog
NOVEMBER 14, 2023
In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. This is compatible with both Python and Scala Spark.
Dynatrace
JULY 6, 2022
At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.
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The Netflix TechBlog
MARCH 4, 2024
Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. In this way, no human intervention is required in the remediation process. Multi-objective optimizations.
The Netflix TechBlog
OCTOBER 18, 2022
Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits.
The Netflix TechBlog
DECEMBER 21, 2020
There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.
The Netflix TechBlog
SEPTEMBER 18, 2020
The Engineer enjoys making data available by piping it in from new sources in optimal ways, building robust data models, prototyping systems, and doing project-specific engineering.
The Netflix TechBlog
JULY 21, 2022
Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. We now explore each of these components individually, while highlighting the nuances of the data pipeline and pre-processing.
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