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This repository contains experimental tools we developed to forecast a clusters' resource (CPU or memory) usage.
functicons / cluster-data
Forked from google/cluster-dataBorg cluster traces from Google
The official PyTorch implementation of Google's Gemma models
An Open Standard for lineage metadata collection
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.
A simple Java command-line utility to mirror the CVE JSON data from NIST.
Apache Spark docker container image (Standalone mode)
A simple spark standalone cluster for your testing environment purposses
Examples of how to use Cloud Bigtable both with GCE map/reduce as well as stand alone applications.
Scripts to analyze Spark's performance
Generation of reports and graphs from the Spark events log files
Includes notes on using Apache Spark in general, notes on using Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark, tools for performance testing CPUs, Jupyter note…
Spark metrics related custom classes and sinks (e.g. Prometheus)
Master the command line, in one page
Specifications for OpenTelemetry
Distributed, offline-first bug tracker embedded in git, with bridges
The Metadata Platform for your Data Stack
☁️♮🏛 This repo contains several documents related to the operation of the CNCF. File non-technical issues related to CNCF here.
Running YARN on Kubernetes with PetSet controller.
Scalable, redundant, and distributed object store for Apache Hadoop
Interactive tools and developer experiences for Big Data on Google Cloud Platform.