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Showing posts with label tools. Show all posts
Showing posts with label tools. Show all posts
Monday, September 8, 2025

Troubleshoot I/O & Wait Latency with OraLatencyMap and PyLatencyMap

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I recently chased an Oracle performance issue where most reads were sub-millisecond (cache) , but a thin band around ~10 ms (spindles) domi...
Friday, April 26, 2024

Building an Apache Spark Performance Lab: Tools and Techniques for Spark Optimization

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Apache Spark is renowned for its speed and efficiency in handling large-scale data processing. However, optimizing Spark to achieve maximum ...
Friday, August 28, 2020

Apache Spark 3.0 Memory Monitoring Improvements

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TLDR;   Apache Spark 3.0 comes with many improvements, including new features for memory monitoring. This can help you troubleshooting memo...
Thursday, March 26, 2020

Distributed Deep Learning for Physics with TensorFlow and Kubernetes

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Summary: This post details a solution for distributed deep learning training for a High Energy Physics use case, deployed using cloud resou...
Friday, August 24, 2018

SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads

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SparkMeasure    SparkMeasure simplifies the collection and analysis of Spark task metrics data . It is also intended as a working example...
2 comments:
Friday, September 29, 2017

Performance Analysis of a CPU-Intensive Workload in Apache Spark

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Topic: This post is about techniques and tools for measuring and understanding CPU-bound and memory-bound  workloads in Apache Spark. You ...
2 comments: