bessalahAmar

Observability Tools for Linux Performance Investigation

Performance issues on Linux systems can arise from multiple sources—disk I/O bottlenecks, memory pressure, network latency, or file system inefficiencies. To effectively diagnose and resolve these problems, engineers need a comprehensive set of observability tools that provide deep insights into system behavior.

This wiki page serves as a central reference for Linux observability tools that can be used to investigate performance issues from four critical perspectives:

• Disk: Analyze I/O patterns, latency, and throughput to identify storage-related bottlenecks.
• Memory: Monitor physical and virtual memory usage, NUMA behavior, and reclaim activity.
• File System: Trace file operations, cache statistics, and latency sources to optimize file access.

bessalahAmar

workarounds:

• setup default secret while deploying the nginx ingress controller
• use AKS secret store driver to create the secret when the pod are deployed :

I) setup default secret while deploying the nginx ingress controller

1) create the secret that will hold the key/cert in namespace "otherns"

kubectl create ns otherns

bessalahAmar

global objectif ( create minimalistic os for raspberrypi ) :

download lite version of raspbian OS.
remove the rootfs partition and replace it with busybox root-fs
to do so you need to cross-compile busyBox for the raspberryPi
once done you just replace partition 2 with the busybox binary.

bessalahAmar

import copy
import sys

def print_nod(node):
    for i in range(0,3):
        print(node[i])


def children(node, player):
    tab =[]