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📝 Dive into the world of efficient log parsing and formatting with our latest tutorial! In this video, we'll walk you through the process of setting up and optimizing log management using Loki and Promtail, two powerful tools that enhance observability in your applications. 🚀 What You'll Discover: Strategies for effective log parsing to extract valuable insights from your logs. Techniques for formatting logs to ensure readability and ease of analysis. Tips for optimizing Loki and Promtail settings for improved performance. 🛠️ Key Topics Covered: Understanding log parsing techniques and regular expressions. Formatting logs for clarity and actionable insights. Integration with Grafana for visualizing log data. Tips and best practices for efficient log management. 👨‍💻 Who Is This For? Developers seeking streamlined log management solutions. Operations teams aiming for enhanced observability and troubleshooting capabilities. Anyone looking to harness the pow...

Jaeger Installation via helm chart Welcome to our comprehensive tutorial on deploying Jaeger, the open-source distributed tracing system, using Helm charts. In this step-by-step guide, we walk you through the entire process, from setting up Helm to configuring and launching Jaeger in your Kubernetes environment. 🚀 Resources Mentioned in the Video: Helm Documentation: [https://artifacthub.io/packages/helm/jaegertracing/jaeger] Additional Jaeger Configuration Options: [https://artifacthub.io/packages/helm/jaegertracing/jaeger] 👍 If you found this tutorial helpful, don't forget to like, share, and subscribe for more content on Kubernetes, Helm, and distributed systems. If you have any questions or suggestions for future videos, feel free to leave a comment below. 2nd Part - Tracing Setup 🚀 Welcome to the second tutorial in our Jaeger Tracing series! In this video, we'll guide you through the process of setting up Jaeger Tracing using Automatic Instrumentation via the Open...

Introduction: SonarQube is a powerful code quality and security analysis tool that helps software development teams maintain code quality and ensure security in their projects. Running SonarQube on Kubernetes using a Helm chart allows for seamless integration into your development workflow. In this guide, we'll walk you through the steps to set up SonarQube on your Kubernetes cluster. Prerequisites: Before you begin, make sure you have the following prerequisites in place: A running Kubernetes cluster Helm installed on your local machine Helm Tiller deployed in your cluster (if not, you can use Helm 3) For Installation, configuration and access pls refer below video Conclusion : By following these steps in video, you've successfully installed SonarQube on your Kubernetes cluster using a Helm chart. SonarQube will now help you maintain code quality and security in your projects. Feel free to explore more advanced configurations and integrations to make the most out of this power...

  Step 1: Introduction to Wazuh Wazuh is an open-source security monitoring platform that provides intrusion detection, log analysis, file integrity monitoring, and compliance monitoring. It helps you detect security threats, vulnerabilities, and any unusual activity in your environment. Video in Hindi language Step 2: Installation To install Wazuh, follow these steps: Download the Wazuh server from the official website. Install the necessary dependencies, such as Java and Elasticsearch. Configure Elasticsearch for Wazuh. Install and configure the Wazuh manager. Install and configure the Wazuh agent on the systems you want to monitor. Step 3: Configuration Once Wazuh is installed, you need to configure it to meet your specific requirements. Here are some key configuration steps: Modify the Wazuh server configuration file to specify the desired settings, such as SMTP server details for email alerts. Configure the Wazuh manager to receive and process logs from the agents. Customize t...

Installation on Ubuntu Installation of pip on Ubuntu To set up a virtual environment, we need to install a python package named virtualenv. sudo apt install python3-pip Installing & Setting Up a Virtual Environment After successfully installing pip, we will now install the virtualenv package using the following command: sudo pip3 install virtualenv To create a virtual environment directory as "airflow_env" inside the "airflow_workspace" directory, execute the following command: virtualenv airflow_env OUTPUT: created virtual environment CPython3.8.10.final.0–64 in 841ms . . activators BashActivator, CShellActivator, FishActivator, PowerShellActivator, PythonActivator To activate the environment use the following command: source airflow_env/bin/activate You will observe that our virtual environment name precedes the username on the terminal, as shown below: (airflow_env) username@desktop_name:~/airflow_workspace$ It indicates that we have successfully activated th...

Introduction: In the world of modern application development, efficient log management and analysis are crucial for ensuring the health and stability of your Kubernetes infrastructure. Elastic Stack, often referred to as EFK (Elasticsearch, Fluentd, and Kibana), is a powerful open-source solution that provides a robust logging and monitoring platform. In this blog post, we will walk you through the process of deploying EFK on Kubernetes, enabling you to centralize logs, gain valuable insights, and troubleshoot issues effectively. Table of Contents: 1.What is EFK and Why Should You Use It? 2.Preparing Your Kubernetes Cluster for EFK Deployment 2.1. Installing Elasticsearch 2.2. Setting up Fluentd 2.3. Configuring Kibana 3. Deploying EFK Components on Kubernetes 3.1. Creating a Namespace 3.2. Deploying Elasticsearch 3.3. Setting up Fluentd 3.4. Deploying Kibana Configuring Fluentd to Collect and Forward Logs 4.1. Fluentd ConfigMap 4.2. Fluentd DaemonSet 4.3. Verifying Fluentd Config...