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Observability with grafana and prometheus (SSO configutation with active directory)

How to Set Up Grafana Single Sign-On (SSO) with Active Directory (AD) Grafana is a powerful tool for monitoring and visualizing data. Integrating it with Active Directory (AD) for Single Sign-On (SSO) can streamline access and enhance security. This tutorial will guide you through the process of configuring Grafana with AD for SSO. Prerequisites Active Directory Domain : Ensure you have an AD domain set up. Domain: bazboutey.local AD Server IP: 192.168.170.212 Users: grafana (for binding AD) user1 (to demonstrate SSO) we will end up with a pattern like this below Grafana Installed : Install Grafana on your server. Grafana Server IP: 192.168.179.185 Administrator Privileges : Access to modify AD settings and Grafana configurations. Step 1: Configure AD for LDAP Integration Create a Service Account in AD: Open Active Directory Users and Computers. Create a user (e.g., grafana ). Assign this user a strong password (e.g., Grafana 123$ ) and ensure it doesn’t expire. Gather Required AD D...

observability with prometheus (authentification and TLS configuration)

How to Secure Prometheus with HTTPS and Authentication Prometheus is a powerful monitoring tool, but by default, it does not include built-in authentication or transport layer security (TLS). This means anyone with network access can read your metrics, and if data is transmitted without encryption, it can be intercepted by attackers. To secure your Prometheus instance, you must configure both basic authentication and HTTPS . Here's an updated step-by-step guide to help you. 1. Why Secure Prometheus? Prometheus is often used to monitor critical infrastructure, making it a valuable target for attackers. By default, anyone can access your Prometheus dashboard and view sensitive metrics if authentication and encryption are not configured. Without TLS encryption, even if authentication is enabled, the credentials and data can be intercepted over the network. To ensure a minimum level of security, you must configure both HTTPS and authentication . These configurations: Protect your met...

Observability with prometheus (installation)

  How to Install Prometheus 3.0: A Beginner-Friendly Guide Prometheus 3.0 is a robust tool for monitoring and alerting, providing insights into your system's performance. Here's a step-by-step guide to help you install and set up Prometheus on a Linux-based server. Step 1: Prepare Your Environment Update Your System Make sure your system is up-to-date: sudo apt update && sudo apt upgrade -y Install Required Tools Ensure you have wget or curl installed to download Prometheus: sudo apt install wget curl -y Step 2: Download Prometheus 3.0 Visit the official Prometheus downloads page . Alternatively, you can use wget to download the binary directly: wget https://github.com/prometheus/prometheus/releases/download/v3.0.0/prometheus-3.0.0.linux-amd64.tar.gz Extract the downloaded file: tar -xvzf prometheus-3.0.0.linux-amd64.tar.gz cd prometheus-3.0.0.linux-amd64 Step 3: Move Prometheus to a Suitable Location Move Prometheus and its files to /usr/local/bin/ : sudo mv pro...

Observability with prometheus (Introduction)

Introduction to Prometheus: Simplifying System Monitoring Prometheus is a powerful open-source tool for monitoring and alerting systems. Created in 2012 at SoundCloud, it has been widely adopted by companies worldwide and boasts an active community of developers and users. In 2016, Prometheus became part of the Cloud Native Computing Foundation , alongside Kubernetes. What is Prometheus? Prometheus collects data as time series , meaning numerical metrics are stored with timestamps. For example, a web server could track request times or the number of active connections. These metrics can include labels (key-value pairs) to add context. Example : If your web application is running slow, Prometheus can provide insights. For instance, it might reveal a spike in request numbers, helping you identify the issue and add resources to handle the load. Key Features Multi-dimensional data model : Metrics are identified by name and key-value pairs. PromQL : A powerful query language for analyzing ...