Big Data Efficiency Processing Tuning 
DZone
MARCH 7, 2023
Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.
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.
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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.
Dynatrace
APRIL 20, 2023
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.
Dynatrace
MARCH 11, 2021
I took a big-data-analysis approach, which started with another problem visualization. I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first. To achieve that I took two approaches: Visualizing historic problem data via a “Swimlane Visualization”.
Dynatrace
FEBRUARY 16, 2023
The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.
The Netflix TechBlog
JUNE 7, 2021
Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?
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