#!/bin/bash | |
# --- Configuration --- | |
# Add namespaces here that you want to exclude from the Application Overview | |
EXCLUDE_NAMESPACES=("kube-system" "kube-public" "kube-node-lease" "local-path-storage" "kube-flannel" "calico-system" "tigera-operator") # Added common CNI/operator namespaces | |
# --- Terminal Colors --- | |
RESET='\033[0m'; BOLD='\033[1m'; DIM='\033[2m'; RED='\033[0;31m'; LRED='\033[1;31m'; | |
GREEN='\033[0;32m'; LGREEN='\033[1;32m'; YELLOW='\033[0;33m'; BLUE='\033[0;34m'; | |
MAGENTA='\033[0;35m'; CYAN='\033[0;36m'; LGRAY='\033[0;37m'; WHITE='\033[1;37m'; |
#!/bin/bash | |
# --- Configuration --- | |
HOST_DATA_BASE_DIR="/srv/k8s-apps-data" | |
NODE_IP="" | |
# --- Terminal Colors --- | |
RESET='\033[0m'; BOLD='\033[1m'; RED='\033[0;31m'; GREEN='\033[0;32m'; | |
YELLOW='\033[0;33m'; BLUE='\033[0;34m'; MAGENTA='\033[0;35m'; CYAN='\033[0;36m'; |
#!/bin/bash | |
# --- Script Configuration --- | |
K8S_VERSION="1.29.0" | |
CALICO_VERSION="v3.27.2" | |
DASHBOARD_VERSION="v2.7.0" | |
INSTALL_DASHBOARD="true" | |
INSTALL_CADDY="true" | |
CADDY_NAMESPACE="example-caddy" | |
DASHBOARD_SERVICE_TYPE="NodePort" # NodePort or ClusterIP |
proxmox_config: | |
username: "root" | |
password: "{{ proxmox_password }}" | |
network_gateway: "192.168.1.1" | |
network_cidr: "192.168.1.0/24" | |
os_template_debian: "local:vztmpl/debian-11-standard_11.6-1_amd64.tar.gz" | |
os_template_ubuntu: "local:vztmpl/ubuntu-22.04-standard_22.04-1_amd64.tar.gz" | |
api: | |
enabled: true | |
url: "https://{{ proxmox_hostname }}:8006/api2/json" |
import re | |
import urllib.parse | |
def escape_regex(text): | |
"""Escapes special characters in regex.""" | |
escaped_text = re.escape(text) | |
# Replace escaped spaces with \s | |
escaped_text = escaped_text.replace(r'\ ', r'\s') | |
#remove escaped \ | |
escaped_text = escaped_text.replace(r'\\', r'\') |
Guida Passo-Passo Dettagliata per la Creazione e Gestione di Multipli Moduli Caddy con Machine Learning per la Sicurezza Avanzata
Questa guida estesa e migliorata si concentra sulla gestione di più moduli Caddy in repository separati, simulando scenari di sviluppo collaborativo e integrando un flusso di lavoro strutturato con branching, testing e integrazione continua.
(Questa fase rimane sostanzialmente la stessa, ma con un focus sulla gestione di più repository)
- Installazione e Configurazione di Go: (Come prima)
- Clonazione dei Repository di Caddy e dei Tuoi Moduli:
Okay, let's further extend the explanation on tuning options for the Caddy ML WAF (caddy-mlf
), digging deeper into the nuances and advanced strategies.
Expanding on the Core Concepts:
To effectively tune caddy-mlf
, it's crucial to understand the interplay between the different configuration options. They don't operate in isolation; adjusting one can impact the effectiveness of others. Think of it like a complex instrument where each knob and slider needs careful adjustment to produce the desired sound (in this case, accurate threat detection).
Deeper Dive into the Tuning Goals and Trade-offs:
We touched upon the trade-off between high security (minimizing false negatives) and high availability (minimizing false positives). Let's elaborate:
package caddywaf | |
import ( | |
"bytes" | |
"encoding/json" | |
"fmt" | |
"io" | |
"net" | |
"os" | |
"regexp" |