k8s xdfp - unders/mywiki GitHub Wiki

Extendable Data Fusion Platform

• Go

# config
$HOME/.config/xdfp
    age
       key.txt
    system
       ubuntu.config
       macos.config
       microcloud.config
       multipass.config
       microk8s.config

# git repo
xdfp
    deploy
    platform
        sh
           age.sh
           functions.sh
           main.sh 
        ubuntu
           setup.sh
        macos
           setup.sh
        microcloud
           setup.sh
        multipass
           setup.sh
        microk8s
           setup.sh
    cmd
    internal
    service
Taskfile.yaml
main.go
      

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• bash-associative-array
• bash manual

• postgres Batch Insert

• age A simple, modern and secure encryption tool

• A Comprehensive Guide to Multipass: Simplifying Virtual Machine Management

• microk8s.io
• Basic Kubernetes install with microk8s
• Basic Kubernetes install with microk8s and NFS storage
• cluster-api-bootstrap-provider-microk8s

• addon-dns
• addon-metallb
• addon-nfs
• addon-gpu
• addon-dashboard

• CloudNativePG
• Mastering Postgres Database Vertical Scalability with Kubernetes Storage Magic
• https://cloudnative-pg.io/documentation/1.19/faq/
• cloudnative-pg.io/documentation/1.19/postgis
• atalsgo - manage your database schema as code

Data Fusion

Data fusion is the joint use of data from multiple sources with the aim of improving the decision-making process. It involves the integration of multiple data sources to generate data that is more informative and synthetic than the original inputs. Data fusion can be used to improve the quality and quantity of data, thereby enhancing the performance of data analysis and interpretation.

For example, in sensor networks, data fusion can be used to combine data from multiple sensors to improve the accuracy of the data. Similarly, in geospatial applications, data fusion techniques can be used to combine data from different sources, such as satellite imagery and ground-based surveys, to create a more comprehensive and accurate map

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• Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source.
• Sensor fusion is the process of combining sensor data or data derived from disparate sources so that the resulting information has less uncertainty than would be possible if these sources were used individually.
• Everything You Need to Know About Data Fusion