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In this video I introduce you to Grafana and provide a high level overview of how it works and what it looks like. Grafana is an open source web application commonly used for monitoring resources and data visualization The dashboard you see in the video can be found here: 🤍 Introduction: 00:00 - 00:21 Architecture Overview: 00:22 - 02:30 Types of Data in Grafana: 02:31- 03:02 Sample Grafana Dashboard: 03:03 - 04:04 Conclusion: 04:05 - 04:32
🔥Edureka DevOps Training: 🤍 This Edureka "Grafana Tutorial for Beginners" video gives you a complete overview of what is Grafana and how to use it. You will also create your own Covid-19 Grafana Dashboard and learn about the Grafana Graphical User Interface. The following topics are covered in the Grafana Tutorial video: 00:00:00 Introduction 00:01:25 Continuous Monitoring in DevOps 00:12:18 Introduction to Grafana 00:14:27 Getting Started with Grafana 🔹Check Edureka's DevOps Tutorial playlist here: 🤍 🔹Check our Edureka's DevOps Tutorial Blog Series: here: 🤍 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Facebook: 🤍 SlideShare: 🤍 Castbox: 🤍 Meetup: 🤍 Edureka Online Training and Certification- 🔵 DevOps Online Training: 🤍 🔵DevOps Engineer Masters Program: 🤍 #Edureka #EdurekaDevOps #GrafanaTutorialForBeginners #DevOpsTraining #GrafanaDashboard #DevOpsTutorial #ContinuousMonitoring #COVIDDashboard - How it Works? 1. This is a 4 Week Instructor-led Online Course. 2. Course consists of 24 hours of online classes, 25 hours of assignment, 20 hours of project 3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 4. You will get Lifetime Access to the recordings in the LMS. 5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you: 1. Understand the concepts and necessities of DevOps 2. Understand the need for DevOps and the day-to-day real-life problems it resolves 3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise 4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT 5. Implement automated system update, installations and deployments 6. Learn Virtualization Concepts 7. Configuration deployment and packaging, continuous integration using GIT 8. Fine tune Performance and set-up basic Security for Infrastructure 9. Manage server operations using Code which is popularly known as Infrastructure as a Code 10. Understand the need for and concepts of Monitoring and Logging. Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools: 1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server. 3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master. - - - - - - - - - - - - - - Who should go for this course? DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are: 1. DevOps Architect 2. Automation Engineer 3. Software Tester 4. Security Engineer 5. Integration Specialist 6. Release Manager - - - - - - - - - - - - - - For more information, please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
In this video we show you how to install Grafana and create dashboards step-by-step. Grafana is an open source platform that is used for data monitoring, analysis, and data visualization. One of the major features of Grafana is it's ability to bring several different data sources together on a single dashboard. Grafana allows you to represent data in different forms like, charts, graphs, and also allows you to send alerts. Apart from that, it supports many OS's including Ubuntu and Windows. It also supports multiple data sources. This video shows you how to download and install Grafana for Ubuntu 20.04. - Below are the commands you can run in order to download and install Grafana for Ubuntu 20.04. wget -q -O - 🤍 | sudo apt-key add - sudo add-apt-repository "deb 🤍 stable main" sudo apt update sudo apt install grafana sudo systemctl start grafana-server sudo systemctl status grafana-server sudo systemctl enable grafana-server - Download and installation commands for influxDB for Ubuntu 20.04 wget -qO- 🤍 | sudo apt-key add - source /etc/lsb-release echo "deb 🤍 $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/influxdb.list sudo apt-get update && sudo apt-get install influxdb sudo systemctl unmask influxdb.service sudo systemctl start influxdb influxd -config /etc/influxdb/influxdb.conf This video also shows you an example of how you can add data sources and attach them to Grafana. - Below is the code which you can use for your python file. import pandas as pd from influxdb import InfluxDBClient client= InfluxDBClient (host= "localhost",port=8086) client.switch_database("corona19") df=pd.read_csv("countries.csv.1") df.dropna(inplace=True) print (df.shape) for rwo_pk, row in df.iloc[1:].iterrows(): json_body=[{ "measurement": "CovidMap", "tags": {"country":row[0]}, "fields": { "name":row[0], "country":row[1], "latitude":row[2], "longitude":row[3], "metric":row[4], } }] client.write_points(json_body) print("done") - To get more of our best content on IT careers and IT certifications, go to: 🤍 Be sure to leave any questions or comments below! See More Videos and Subscribe: 🤍 Website: 🤍 Facebook: 🤍 Twitter: 🤍
Subscribe to Support the channel: 🤍 Need help? Message me on LinkedIn: 🤍 Want to connect on Instagram? Here is my id 🤍vikasjha001 ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 You may skip that and follow the below index: 00:00:00 - Grafana for Beginners 0:00:17 - Install, Manage and Uninstall Grafana on Linux 0:17:14 - Installing Grafana on Windows Server 0:25:07 - Changing Grafana Port 0:29:10 - Changing Grafana Database From SQLite to MySQL 0:52:07 - Changing Grafana Configuration on a Windows Machine 0:57:35 - Upgrading to Grafana Version 7 1:05:25 - Grafana User Interface 1:24:16 - Connecting to MySQL and Creating First Dashboard 1:51:36 - Using Custom Query To create a Visualization 1:57:08 - Configuring InfluxDB Data Source in Grafana 2:04:52 - Creating Threshold and Using StatsD Visualization 2:09:56 - Alerts in Grafana 2:34:53 - Grafana Alerts on Telegram 2:49:41 - Installing Additional Plugins and Using Pie Chart Visualization 2:58:08 - User Creation and Role Assignment in Grafana 3:05:21 - Tabular Visualization in Grafana 3:12:14 - Grafana Stat Advance Visualization 3:19:23 - Grafana Variables 3:33:16 - More About Grafana Visualization Options 3:50:22 - Embedding Grafana in Iframe HTML ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 ✔️ Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 #LearnGrafanaByVikasJha #Grafana #VikasJha Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍
In this webinar, Marcus will show you how to get started using Grafana. He’ll walk you through the Grafana user interface while showing how to set up monitoring for a web service that uses Prometheus and Loki to store metrics and logs. You’ll learn how to connect, explore, and correlate data in Grafana to gain valuable insights into your application. This webinar requires no previous experience with Grafana. Follow along with the demo with these two links: Grafana Play: 🤍 Grafana Fundamentals tutorial: 🤍
Grafana Dashboard Tutorial | How to Setup a Grafana Dashboard Step-by-Step | Grafana Tutorial GitHub Link: 🤍 Tutorials so far - Minikube - K3d - Ubuntu - & more! Your Queries: Grafana Dashboard Tutorial Grafana Dashboard Creation Grafana Dashboard for Kubernetes Pods Grafana Dashboard Prometheus Grafana Dashboard Tutorial for beginners Grafana Dashboard creation Prometheus Grafana Dashboard Design Grafana Dashboard as code Grafana prometheus Dashboard tutorial grafana create dashboard tutorial how to i use grafana dashboard what is a grafana dashboard what is grafana and its use Is Grafana used in DevOps Build your first dashboard Grafana Documentation Grafana Dashboard Best Practices Getting started with Grafana dashboard design Grafana dashboards overview Create a dashboard Grafana Labs #grafana #dashboard #grafanadashboard #tutorial #promethues #devops #devopstutorial #kubernetes #kubernetestutorialforbeginners #ubuntu #cluster #learning #training #learningandsharing #learninganddevelopment Have fun watching my videos! 🙂 Links: YouTube: 🤍
In this tutorial video, we're visualising the data we've been gathering with our application from our tutorial number 8. In order to do that, we download and install Grafana and then setup a dashboard step by step. Sections: 01:02 Downloading Grafana for Windows 10 01:22 Installing Grafana in Windows 10 01:37 Opening Grafana and logging in 01:59 Connecting Grafana to the MariaDB database 02:30 Adding panels to the dashboard 12:45 Changing the design of the panels Recommended videos: Video T008: 🤍 Visit us on 🤍
As promised in my previous video, this one is about creating your first Grafana dashboard with detailed step-by-step instructions for many Grafana panels, such as bar chart, bar gauge, single stat, base64, pdf, and Geomap. There are many more visualizations available and more videos to come about them. Let me know what visualization or plugin you want me to review next. Here I also show how to connect to the PostgreSQL data source. Become a member of our fan club 🤍 and earn loyalty badges! CHAPTERS 0:00 Intro 0:12 Prerequisites 0:43 The final product with quick elements walkthrough 2:15 Why adding a data source should be your first step 2:31 How to add a data source 3:03 PostgreSQL docker container data source setup 3:45 How to start a dashboard creation 4:17 Bar chart 6:41 Bar gauge 8:40 Duplicate a bar gauge 8:57 Single stat 10:00 Base64 PDF 10:20 Where is the Grafana marketplace 11:03 Grafana row 11:22 Geomap 11:56 Clock 12:23 Image/Logo 12:44 How to setup filters/variables 13:40 How to use filters/variables in the visualizations 14:03 Dark to Light DISCOVER 👉 Documentation: 🤍 👉 Blog: 🤍 👉 GitHub: 🤍 GET IN TOUCH 👉 Issues and questions: 🤍 👉 GitHub Sponsor: 🤍 👉 LinkedIn: 🤍 #Grafana #GrafanaPlugins #Visualization #Business #visualización #Negocio
Day-5 | Terraform Zero to Hero | Getting Started with Terraform | If you like the video please like , comment , share and subscribe the channel to get more updates on technical videos. Youtube Channel: Playlists: AWS : 🤍 DevOps Monitoring Tools in 2023 🤍 DataDog DevOps Monitoring | Cloud Monitoring: 🤍 Monitoring with Prometheus and Grafana for beginners Learn how to install and configure Prometheus 🤍 Linux Part-1: Operating System (OS) Flavors || DevOps Complete Tutorial 2023 🤍 LInkedin: 🤍 Facebook : 🤍 Instagram: 🤍 Terraform tutorial Infrastructure as Code (IaC) Terraform basics Terraform for beginners Terraform deployment Terraform automation Terraform AWS tutorial Terraform Azure tutorial Terraform Google Cloud tutorial Terraform best practices Terraform modules Terraform state management Terraform cloud providers Infrastructure automation with Terraform Terraform scripting Terraform configuration Terraform resources Terraform variables Terraform providers Managing infrastructure with Terraform Terraform HCL (HashiCorp Configuration Language) Terraform deployment workflow Terraform remote state Terraform continuous integration Infrastructure provisioning with Terraform
Server Monitoring with Prometheus and Grafana setup in Docker and Portainer. I explain the difference between metrics and logging and how Prometheus can monitor all your server metrics and use Grafana to visualize them. Teleport-*: 🤍 *Related Videos/Links* 🤍 *💜 Support me and become a Fan!* → 🤍 *💬 Join our Community!* → 🤍 *Read my Tech Documentation* 🤍 *My Gear and Equipment- 🤍 Timestamps: 00:00 - Introduction 01:08 - Why centralize monitoring 02:01 - Difference between logs and metrics 03:19 - What is Prometheus? 03:46 - Monitoring Architecture 05:12 - Deploy Prometheus and Grafana 10:03 - Configure Prometheus 13:21 - Third-Party Exporters 19:04 - Visualize data with Grafana 21:44 - Import Grafana Dashboards All links with "*" are and/or include affiliate links. #Prometheus #Grafana #HomeLab
In this video I show you how to a build a Grafana dashboard from scratch that will monitor a virtual machine's CPU utilization, Memory Usage, Disk Usage, and Network Traffic using the Node-Exporter data collector and Prometheus as the Data Source USED DISK SPACE QUERY: node_filesystem_size_bytes{job="jenkins-node",instance="localhost:9100",device!~"/dev/loop.*", device!~"tmpfs|nsfs", device!="gvfsd-fuse"} - node_filesystem_avail_bytes{job="jenkins-node",instance="localhost:9100"} AVAILABLE DISK SPACE QUERY: node_filesystem_avail_bytes{job="jenkins-node",instance="localhost:9100",device!~"/dev/loop.*",device!~"tmpfs|nsfs",device!="gvfsd-fuse"} JSON format of dashboard: 🤍 TOC: Introduction: 00:00 - 1:44 CPU metric: 1:45 - 09:03 Memory Usage: 09:04 - 14:15 Disk Usage: 14:16 - 21:20 Network Traffic: 21:21 - 25:06 Conclusion: 25:07 - 26:02
🔵 Intellipaat Cloud Computing & DevOps course: 🤍 In this video on Grafana DevOps Tutorial, you will learn what is DevOps, lifecycle of DevOps, introduction to Grafana, features of Grafana, visuals of Grafana, hands-on demo on Grafana. This Grafana Tutorial For Beginners is a must watch for everyone who is interested in learning DevOps and make a career in it. #GrafanaDevOpsTutorial #WhatIsGrafanaDevOps #GrafanaTutorialForBeginners #DevOpsTraining #GrafanaDashboard #DevOpsTutorial #ContinuousMonitoring #Intellipaat 🔵 Watch the DevOps Training video here: 🤍 🔵 To subscribe to the Intellipaat channel & get regular updates on DevOps: 🤍 🔵 Read the complete DevOps tutorial here: 🤍 🔵 Interested to learn DevOps still more? Please check similar what is DevOps blog here: 🤍 If you’ve enjoyed this Grafana Tutorial For Beginners then like us and Subscribe to our channel for a more similar informative video. Got any questions about DevOps Testing? Ask us in the comment section below. 🔵 Why should you watch this DevOps course tutorial? Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. We are offering the top DevOps tutorial that can be watched by anybody to learn DevOps. 🔵 Why DevOps is important? DevOps implementation is going through the roof with most of the largest software organizations around the world invested heavily in its implementation. The core values of DevOps is effectively based on the Agile Manifesto but with one slight change which moves the focus from creating a working software to one that is more interested in the end-to-end software service mechanism and delivery. 🔵 Why should you opt for a DevOps career? For very long times the development and the operations teams of any software enterprise have stayed at arm’s length. But this organizational cultural shift thanks to DevOps a lot of changes are happening in forward-thinking enterprises. Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. You will grab the best jobs in top MNCs after finishing this Intellipaat DevOps online training. The entire Intellipaat DevOps course is in line with the industry's needs. There is a huge demand for DevOps certified professionals. For more information: Please write us to sales🤍intellipaat.com, or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free) Website: 🤍 Facebook: 🤍 LinkedIn: 🤍 Twitter: 🤍 Meetup: 🤍 Telegram : 🤍
Grafana Vs Prometheus Explained in 1 Minute | DevOps Shack
Subscribe to Support the channel: 🤍 Need help? Message me on LinkedIn: 🤍 Want to connect on Instagram? Here is my id 🤍vikasjha001 ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 Get complete latest Grafana Course on Udemy which teaches below topics: ✔️udemy: 🤍itpanther.com/grafana Here is what you will learn in the course: 📘 Grafana Introduction 📘 Grafana Overview and Overall Architecture 📘 Installing Grafana on a Linux Server 📘 Installing Grafana on Windows 📘 Starting, Stopping Grafana Services on Windows 📘 Installing Grafana on Docker 📘 Creating Grafana Dashboards 📘 Grafana User Interface Overview 📘 Installing and Managing InfluxDB Services 📘 Installing and Managing Telegraf Services 📘 Grafana Dashboard - Server Health Summary Dashboard 📘 Graph Panel - CPU & Memory Utilization 📘 Graph Panel - Multiple Servers & Problem Statement to use Grafana Variables 📘 Custom Variable - Static Variable Values 📘 Query Variable - Dynamic Variable Values 📘 Dependent Varialbes - Cascaded Variables 📘 Dependent Variables - Udemy.mp4 📘 Automatic Repeat Panel Based on Variable Value 📘 Organizing Panels and Dashboards for Easy Management 📘 Repeat Row to Create Dynamic Grafana "Summary Dashboard" 📘 Fixing Y Axis' Minimum and Maximum Value in Graph Panel 📘 Creating Thresholds in Graph Visualizations 📘 Python Program to Increase Memory Utilization for Testing Purpose 📘 Creating Thresholds in Graph Visualization and StatsD Graphs 📘 Advance Tabular Visualization With Gauge in one column 📘 Advance Stat Visualization in Grafana 7 📘 Exploring More Visualization Properties - Legends, Axis, Series Override 📘 Creating Grafana Dashboard Using MySQL As Data Source 📘 Using Custom SQL Query to Create Dashboard 📘 Monitoring Websites and Docker Services 📘 Monitoring Websites or URL Using Grafana 📘 Monitor Docker Services 📘 Installing Plugins 📘 Installing Plugins and Creating Pie Chart Visualization 📘 Creating Alerts and Annotation in Dashboards in Grafana 📘 Grafana Email Alerts Configuration 📘 Grafana and Telegram Integration and Alerts Configuration 📘 Users and Roles Creation and Management in Grafana 📘 User and Roles Creation in Grafana 📘 Embedding Grafana Panel on Any Website 📘 Embedding Grafana Panel in any HTML Page (Website) 📘 Upgrading Grafana From Version 6 to Version 7 (Latest Version) 📘 Optional - Upgrade Grafana From Version 6 to Version 7 📘 Optional - Changing Grafana Database to MySQL ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 ✔️ Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 #LearnGrafanaByVikasJha #Grafana #VikasJha Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍
Subscribe to Support the channel: 🤍 Need help? Message me on LinkedIn: 🤍 Want to connect on Instagram? Here is my id 🤍vikasjha001 ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 Get complete latest Grafana Course on Udemy which teaches below topics: ✔️udemy: 🤍itpanther.com/grafana Here is what you will learn in the course: 📘 Grafana Introduction 📘 Grafana Overview and Overall Architecture 📘 Installing Grafana on a Linux Server 📘 Installing Grafana on Windows 📘 Starting, Stopping Grafana Services on Windows 📘 Installing Grafana on Docker 📘 Creating Grafana Dashboards 📘 Grafana User Interface Overview 📘 Installing and Managing InfluxDB Services 📘 Installing and Managing Telegraf Services 📘 Grafana Dashboard - Server Health Summary Dashboard 📘 Graph Panel - CPU & Memory Utilization 📘 Graph Panel - Multiple Servers & Problem Statement to use Grafana Variables 📘 Custom Variable - Static Variable Values 📘 Query Variable - Dynamic Variable Values 📘 Dependent Varialbes - Cascaded Variables 📘 Dependent Variables - Udemy.mp4 📘 Automatic Repeat Panel Based on Variable Value 📘 Organizing Panels and Dashboards for Easy Management 📘 Repeat Row to Create Dynamic Grafana "Summary Dashboard" 📘 Fixing Y Axis' Minimum and Maximum Value in Graph Panel 📘 Creating Thresholds in Graph Visualizations 📘 Python Program to Increase Memory Utilization for Testing Purpose 📘 Creating Thresholds in Graph Visualization and StatsD Graphs 📘 Advance Tabular Visualization With Gauge in one column 📘 Advance Stat Visualization in Grafana 7 📘 Exploring More Visualization Properties - Legends, Axis, Series Override 📘 Creating Grafana Dashboard Using MySQL As Data Source 📘 Using Custom SQL Query to Create Dashboard 📘 Monitoring Websites and Docker Services 📘 Monitoring Websites or URL Using Grafana 📘 Monitor Docker Services 📘 Installing Plugins 📘 Installing Plugins and Creating Pie Chart Visualization 📘 Creating Alerts and Annotation in Dashboards in Grafana 📘 Grafana Email Alerts Configuration 📘 Grafana and Telegram Integration and Alerts Configuration 📘 Users and Roles Creation and Management in Grafana 📘 User and Roles Creation in Grafana 📘 Embedding Grafana Panel on Any Website 📘 Embedding Grafana Panel in any HTML Page (Website) 📘 Upgrading Grafana From Version 6 to Version 7 (Latest Version) 📘 Optional - Upgrade Grafana From Version 6 to Version 7 📘 Optional - Changing Grafana Database to MySQL ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 ✔️ Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 #LearnGrafanaByVikasJha #Grafana #VikasJha Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍
Timeline: 00:00 Installing Grafana on Linux 04:00 Installing Grafana on Windows 06:40 Installing Grafana Linux 08:05 Installing Prometheus on Linux 13:58 Installing Prometheus Node Exporter 20:00 Creating Prometheus Data Source 23:25 Grafana User Interface Overview 36:05 Gauge Panes and Threshold 40:55 Grafana Table Visualization 45:40 Grafana Stat Visualization 47:30 Grafana Advance Formatting Options 59:30 Embedding Grafana in inframe 01:03:35 Microsoft Teams Notification Alert from Grafana 01:07:00 Monitor Docker With Prometheus and Grafana 01:13:15 Monitoring Website Using Grafana Synthetic Monitoring 01:26:42 Grafana Telegram alert 01:31:12 Grafana Email Alert If you're looking for paid Grafana courses which can offer you completion certificate then check it out: 🤍 Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍
► Part of the DevOps Bootcamp 🚀 More infos here: 🤍 Fully understand how Prometheus Monitoring works | Explaining Prometheus Architecture | What is Prometheus Monitoring | Prometheus Monitoring Tutorial Demo Part 1: Setup Prometheus Monitoring and Grafana on Kubernetes using Prometheus Operator ► 🤍 Demo Part 2: In the 2nd part we will actually configure Prometheus to expose /metrics endpoint and configure Prometheus to scrape it. ► 🤍 🤓 Prometheus has become the mainstream monitoring tool of choice in container and microservice world. 🔥 In this video you will learn: 1) Why Prometheus is so important in such infrastructure and what are some specific use cases 2) How Prometheus works? What are targets and metrics? 3) How does Prometheus collect those metrics from its targets? 4) Furthermore, I explain Prometheus Architecture with simple diagrams and animations and go through the main components: Prometheus Server, Pushgateway, Alertmanager 5) The advantages of Prometheus Pull System compared to alternative monitoring tools, which use Push System 6) Using Prometheus Monitoring with Docker and Kubernetes You will also understand better why it’s important to monitor your applications/infrastructure in general. ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 - Intro 0:31 - What is Prometheus? 1:06 - Where and why is Prometheus used? 2:21 - Specific Use Cases for using Prometheus Monitoring 5:57 - How does Prometheus work? Prometheus Architecture explained 6:04 - Prometheus Server 7:02 - Targets and Metrics 7:53 - Metrics 8:50 - How does Prometheus collect those metrics from targets? 9:21 - Target Endpoints and Exporters 11:12 - Monitoring your own application 12:03 - Pull Mechanism - Unique advantage of Prometheus 13:38 - Pushgateway for short-lived jobs 14:14 - Configuring Prometheus - Example YAML Configuration 16:20 - Alert Manager - Triggering alerts 16:55 - Prometheus Data Storage - Where does Prometheus store the data? 17:38 - PromQL Query Language 18:37 - My Experience 19:23 - Key Characteristics - advantages and disadvantages of Prometheus 20:40 - Prometheus Monitoring with Docker and Kubernetes ▬▬▬▬▬▬ Useful Links 🛠 ▬▬▬▬▬▬ Official Prometheus Exporters List ► 🤍 Prometheus Client Libraries ► 🤍 Photo source for Metrics Example: 🤍 #prometheus #prometheusmonitoring #devops #techworldwithnana ▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬ Full Kubernetes and Docker tutorial ► 🤍 What is Kubernetes? ► 🤍 Complete Jenkins Pipeline Tutorial ► 🤍 ▬▬▬▬▬▬ Courses & Bootcamp & Ebooks 🚀 ▬▬▬▬▬▬ ► Become a DevOps Engineer - full educational program 👉🏼 🤍 ► High-Quality and Hands-On Courses 👉🏼 🤍 ► Kubernetes 101 - compact and easy-to-read ebook bundle 👉🏼 🤍 ▬▬▬▬▬▬ Connect with me 👋 ▬▬▬▬▬▬ Join private Facebook group ► 🤍 DEV ► 🤍 INSTAGRAM ► 🤍 TWITTER ► 🤍 LINKEDIN ► 🤍
Grafana Course for Beginners Learn Grafana Grafana Tutorials in 2021 Video by Vikas Jha - An Indian Techy 🤍 Ariyel Academy is an Institute of Higher Education on a Mission to Empower Individuals Through Mindset, Health, Wealth and Spirituality. Born in the end of an age are we, in the significant ” Year of the Return”. We are a Force of Legends standing on the shoulder of Giants. The Lion with Eagle Wings, Powerful and Swift. Our Sole Mission is to Enhance, Develop and Nurture lives that are lost, hidden and rejected on this planet through a Shift in Attitude and Behaviours. CONTACT WEBSITE: 🤍 PHONE: +442031058353 EMAIL: info🤍ariyelacademy.com WEBSITES 🤍 🤍 🤍 🤍 COURSES IMPORTANCE OF VOCABULARY: 🤍 COURSE RANGE: 🤍 Game Changer Program Academy Scholarship: 🤍 250k Authority Master Class: 🤍 High-Ticket Program Master Class 2019: 🤍 Revenue Generating Super Strategies Master Class: 🤍 Seven Figure Book Launch: 🤍 Million Dollar Masterminds: 🤍 Referral Partner Sign Up: 🤍 How To Create Profitable Online Courses: 🤍 How To Create Profitable Online Courses Book: 🤍 Concept To Course 30 Day Coaching Program: 🤍 BOOK: Online Course Marketing Blueprint: 🤍 How To Create Courses - FREE: 🤍 IMPORTANCE OF VOCABULARY: 🤍 DIGITAL PLATFORMS TRY THINKIFIC EDUCATION PLATFORM: 🤍 TubeBuddy | The Premier YouTube Channel Management Toolkit 🤍 Bookkeeping Services For Your Growing CPA Firm | Botkeeper: 🤍 Website Visitor Tracking Software | Leadfeeder: 🤍 Cleverly | #1 LinkedIn Lead Generation Agency | Done-For-You Service: 🤍 Keap & Infusionsoft by Keap - CRM, Sales & Marketing Automation: 🤍 Content Marketing with Calculators, Quizzes, Chatbots and Assessments: 🤍 Instapage - The World’s Most Advanced Landing Page Platform: 🤍 Apollo.io: Data-First Sales Platform: 🤍 Bambee: Get A Dedicated HR Manager For $99/month. 🤍 Jungle Scout: Amazon Product Finder & Research Tool - FBA Seller Software: 🤍 Visit our online clothing store: 🤍 #advancingmindet #positivethinking #positivevibes #positive #mindset #believeinyourself #gratitude #motivation #inspirational #health #wealth #ariyelacademy JOIN THINKIFIC TRIAL: 🤍 WEBINAR: 🤍 PRO-GROWTH TRIAL: 🤍 FACEBOOK 🤍 🤍 🤍 🤍 TWITTER 🤍 🤍 🤍 🤍 INSTAGRAM 🤍 LINKEDIN PAGE 🤍
In this video, we will monitor the AWS EC2 instances using Prometheus and visualize the dashboard using Grafana. Blog Link : 🤍 Agenda Prometheus Architecture Install Prometheus and configure Prometheus to monitor itself Install Node Exporter on other EC2 Instances Configure Prometheus for the EC2 Instance EC2 Service Discovery for Prometheus Install Grafana Subscribe to my channel 🤍 #monitoring #prometheus #grafana Follow me on social media: Medium: 🤍 Facebook: 🤍
Adding Grafana to your resume will open doors to many DevOps Engineering Jobs, let's add this to your resume. Notes: 🤍 00:00 Intro 01:00 What is Observability 02:30 Grafana, Loki, and Promtail Introduction 05:40 Hands-on Monitoring and Visualization Project 15:00 Loki Setup and connection 22:00 Promtail setup and connection 28:00 Grafana Project 31:00 Outro Watch DevOps Bootcamp Playlist: 🤍 Watch Linux For DevOps Engineer Playlist: 🤍 Watch DevOps with AWS Playlist: 🤍 - ✨ TELEGRAM: 🤍 ✨ INSTAGRAM: 🤍train_withshubham 🤍 👨🏻💻 GITHUB: 🤍 💼 LINKEDIN: 🤍 👨💻 DISCORD: 🤍TrainWithShubham 🤍 📩 EMAIL: trainwithshubham🤍gmail.com - About - TrainWithShubham is the channel created with the idea of bridging the gap between academic learning and the corporate world. We all know that schools and universities don't necessarily prepare us for the corporate world. There's a huge difference between what's going on in the industry and what's being taught to us in schools and colleges. We are here to prepare you for the world with content based on my industry knowledge & experiences as a developer.
Subscribe to Support the channel: 🤍 Need help? Message me on LinkedIn: 🤍 Want to connect on Instagram? Here is my id 🤍vikasjha001 ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 Get complete latest Grafana Course on Udemy which teaches below topics: ✔️udemy: 🤍itpanther.com/grafana Here is what you will learn in the course: 📘 Grafana Introduction 📘 Grafana Overview and Overall Architecture 📘 Installing Grafana on a Linux Server 📘 Installing Grafana on Windows 📘 Starting, Stopping Grafana Services on Windows 📘 Installing Grafana on Docker 📘 Creating Grafana Dashboards 📘 Grafana User Interface Overview 📘 Installing and Managing InfluxDB Services 📘 Installing and Managing Telegraf Services 📘 Grafana Dashboard - Server Health Summary Dashboard 📘 Graph Panel - CPU & Memory Utilization 📘 Graph Panel - Multiple Servers & Problem Statement to use Grafana Variables 📘 Custom Variable - Static Variable Values 📘 Query Variable - Dynamic Variable Values 📘 Dependent Varialbes - Cascaded Variables 📘 Dependent Variables - Udemy.mp4 📘 Automatic Repeat Panel Based on Variable Value 📘 Organizing Panels and Dashboards for Easy Management 📘 Repeat Row to Create Dynamic Grafana "Summary Dashboard" 📘 Fixing Y Axis' Minimum and Maximum Value in Graph Panel 📘 Creating Thresholds in Graph Visualizations 📘 Python Program to Increase Memory Utilization for Testing Purpose 📘 Creating Thresholds in Graph Visualization and StatsD Graphs 📘 Advance Tabular Visualization With Gauge in one column 📘 Advance Stat Visualization in Grafana 7 📘 Exploring More Visualization Properties - Legends, Axis, Series Override 📘 Creating Grafana Dashboard Using MySQL As Data Source 📘 Using Custom SQL Query to Create Dashboard 📘 Monitoring Websites and Docker Services 📘 Monitoring Websites or URL Using Grafana 📘 Monitor Docker Services 📘 Installing Plugins 📘 Installing Plugins and Creating Pie Chart Visualization 📘 Creating Alerts and Annotation in Dashboards in Grafana 📘 Grafana Email Alerts Configuration 📘 Grafana and Telegram Integration and Alerts Configuration 📘 Users and Roles Creation and Management in Grafana 📘 User and Roles Creation in Grafana 📘 Embedding Grafana Panel on Any Website 📘 Embedding Grafana Panel in any HTML Page (Website) 📘 Upgrading Grafana From Version 6 to Version 7 (Latest Version) 📘 Optional - Upgrade Grafana From Version 6 to Version 7 📘 Optional - Changing Grafana Database to MySQL ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 ✔️ Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 #LearnGrafanaByVikasJha #Grafana #VikasJha Video Timeline: 00:00:00 Intro 00:00:18 Grafana Features 00:02:04 Grafana Version & Architecture 00:05:08 Installing Grafana on Linux 00:09:50 Installing InfluxDB 00:13:20 Installing Telegraf 00:18:50 Grafana User Interface Introduction 00:36:00 Creating Dashboard in Grafana 00:37:17 Quick Intro on InfluxDB 00:40:11 Creating InfluxDB Datasource in Grafana 00:42:37 Creating Panels for Dashboards 00:52:00 Using Stats Panel to show Server Uptime in Grafana 00:55:40 Changing colors in Grafana Stats Panel 00:56:51 Using Stats Panel to show total number of users logged 00:58:10 Using Gauge Panel to Show Memory Utilization in Grafana 00:59:30 Creating Threshold in Grafana Gauge Panel 01:01:53 Panel to Show Total Processing Running 01:04:15 Showing Total Number of Threads Running 01:06:17 Using Grafana Bar Panel to show total Disk Utilization Dahsboard 01:12:14 Monitoring Multiple Servers in a Panel 01:15:35 Organizing Grafana Panels in Different Rows 01:22:30 Creating Variables in Grafana 01:29:14 Using Table Panels in Grafana Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍
🔥Edureka DevOps Training: 🤍 This Edureka "Prometheus Tutorial" gives you a complete overview of what is Prometheus and how to use it. You will learn how to install Prometheus, Node exporter, Alert manager, and also learn about the Prometheus Graphical User Interface. Also, you will integrate your Node exporter's metrics in Grafana. The following topics are covered in the Prometheus video: 00:00:00 Introduction 00:01:53 What is Prometheus? 00:02:51 Why Prometheus? 00:04:46 Continuous Monitoring with Prometheus 00:05:46 Prometheus Architecture 00:08:55 Prometheus Metrics and its Metrics 00:11:35 Prometheus Installation and Demo 🔹Check our complete DevOps Tutorial playlist here: 🤍 🔹Check our DevOps Tutorial Blog playlist here: 🤍 🔴Subscribe to our channel to get video updates. Hit the subscribe button above: 🤍 Twitter: 🤍 LinkedIn: 🤍 Instagram: 🤍 Facebook: 🤍 SlideShare: 🤍 Castbox: 🤍 Meetup: 🤍 #Edureka #EdurekaDevOps #PrometheusTutorial #PrometheusGrafanaTutorialForBeginners #DevOpsTraining #DevOpsTutorial #GrafanaDashboard #ContinuousMonitoring #EdurekaTraining How it Works? 1. This is a 4 Week Instructor-led Online Course. 2. Course consists of 24 hours of online classes, 25 hours of assignment, 20 hours of project 3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 4. You will get Lifetime Access to the recordings in the LMS. 5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you: 1. Understand the concepts and necessities of DevOps 2. Understand the need for DevOps and the day-to-day real-life problems it resolves 3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise 4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT 5. Implement automated system update, installations and deployments 6. Learn Virtualization Concepts 7. Configuration deployment and packaging, continuous integration using GIT 8. Fine tune Performance and set-up basic Security for Infrastructure 9. Manage server operations using Code which is popularly known as Infrastructure as a Code 10. Understand the need for and concepts of Monitoring and Logging. - - - - - - - - - - - - - - Who should go for this course? DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are: 1. DevOps Architect 2. Automation Engineer 3. Software Tester 4. Security Engineer 5. Integration Specialist 6. Release Manager - - - - - - - - - - - - - - Project Work 1. Host a dummy webpage using Apache Web Server. 2. Write shell script which reports: a) Various system configurations related to the user and the OS. b) Data related to load on the server. c) Top 5 processes with maximum number of threads. d) Sort the services by memory 3. Install Nagios on a VM node for monitoring the various parameters of the VM. For more information, please write back to us at sales🤍edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
FREE DEVOPS COURSE 🤍 DAY-42: KUBERNETES MONITORING USING PROMETHEUS & GRAFANA Hi Everyone, In this video, I will talk about Kubernetes cluster monitoring using Prometheus and Visualization using Grafana. This is a End to End Live DEMO with Installation steps provided in the GitHub Repo (Link Below). GitHub Repo 🤍 Telegram channel = 🤍 About me: - LinkedIn: 🤍 GitHub: 🤍 Medium: 🤍 YouTube: 🤍
Dowiedz się czym jest grafana i w jaki sposób możesz tworzyć wykresy przedstawiające statystyki danych znajdujących się w bazie MySQL. W tym filmiku wyjaśnię podstawy Grafany w oparciu o przykładowe statystyki obciążenia serwera. Baza danych MySQL: 🤍 Dostępne kursy: 1. Praktyczny kurs testowania oprogramowania Link: 🤍 2. Automatyzacja testów: WebdriverIO + Typescript - Jenkins Link: 🤍 3. Kurs Jira od podstaw - zarządzanie projektami Link: 🤍 4. Postman od podstaw - testowanie REST API Link: 🤍 5. Cypress od podstaw - Automatyzacja testów Link: 🤍
Click here - 🤍 to get notifications. Grafana Prometheus - How To Monitor A Microservice - Spring REST Application Demo | InterviewDOT Monitoring tool - Prometheus. What is Grafana ? Monitoring Spring Application Demo Prometheus + Grafana is a common combination of tools to build up a monitoring system. In this tutorial, I’ll share how to get a dashboard by a tiny but complete example, which monitors how many requests are handled by a spring boot server Introduction Monitoring an application's health and metrics helps us manage it better, notice unoptimized behavior and get closer to its performance. This especially holds true when we're developing a system with many microservices, where monitoring each service can prove to be crucial when it comes to maintaining our system. Based on this information, we can draw conclusions and decide which microservice needs to scale if further performance improvements can't be achieved with the current setup. In this article, we'll cover how to monitor Spring Boot web applications. We will be using three projects to achieve this: Micrometer: Exposes the metrics from our application Prometheus: Stores our metric data This might look like a lot, especially compared to just using the Spring Boot Actuator project, but it's very easy to implement all of them with just a few configurations. To make things even easier, we'll be using Docker to run Prometheus One of the many great features of Spring Boot is the set of built-in actuators. These actuators provide an easy way to monitor and control just about every aspect of a Spring Boot application. In this tutorial, we'll look at using the metrics actuator to create a self-hosted monitoring solution for Spring Boot applications. The first part of monitoring Spring Boot applications is choosing a metrics database. By default, Spring Boot will configure a Micrometer metrics registry in every application. This default implementation collects a pre-defined set of application metrics such as memory and CPU usage, HTTP requests, and a few others. But these metrics are stored in memory only, meaning they will be lost any time the application is restarted. To create a self-hosted monitoring solution, we should first choose a metrics database that lives outside the Spring Boot application. The following sections will discuss just a few of the available self-hosted options. Note that any time Spring Boot detects another metrics database on the classpath, it automatically disables the in-memory registry. Prometheus is an open-source monitoring and alerting toolkit originally built at SoundCloud. It works slightly differently from InfluxDB. Instead of configuring our application to publish metrics to Prometheus, we configure Prometheus to poll our application periodically. This will create a new actuator endpoint that produces metrics data in a special format that Prometheus understands. Next, we have to configure Prometheus to poll our application by adding our desired configuration into a prometheus.yml file. 🤍
In this video How To Configure Grafana & Google Sheets Data Source, we are going to learn step by step process on how to setup google sheets as data source in grafana. This grafana datasource plugin tutorial will also help you to understand about grafana plugins and how to make use of grafana cli to install plugins. Steps followed: 1. Setting up Grafana as Docker Container 2. How to install Google Sheets Plugin in Grafana 3. Create Google Api Key and Enable Google Sheets Api 4. Configure Google Sheets datasource in Grafana 5. Write queries and create dashboards in Grafana = Influxdb grafana setup: 🤍 - - Grafana loki tutorial: 🤍 - Grafana influxdb tutorial: 🤍 - Create Grafana as Docker container: docker run -d -p 3000:3000 name=grafanaserver -e "GF_SECURITY_ADMIN_USER=admin" -e "GF_SECURITY_ADMIN_PASSWORD=password" grafana/grafana:latest Command to Install Grafana Plugin: docker exec -it grafanaserver bash grafana-cli plugins install grafana-googlesheets-datasource Docker Command to create Grafana container with Plugin Installed: docker run -d -p 3000:3000 name=grafanaserver -e "GF_INSTALL_PLUGINS=grafana-googlesheets-datasource" -e "GF_SECURITY_ADMIN_USER=admin" -e "GF_SECURITY_ADMIN_PASSWORD=password" grafana/grafana:latest Create google Api Key: 🤍 Google Sheets: 🤍 - = Follow me 🤍: 🤍 🤍 🤍 🤍 = Music credit: "Royalty Free Music from Bensound"
This video will show a step-by-step guide to set up continuous monitoring and alerting using open-source tools such as Prometheus, Grafana, Alert Manager, cAdvisor, and Node Exporter. Prometheus: To monitor the overall health of the server/end-point based on the regular pings issued by Prometheus and store data in the Prometheus database. Node-Exporter: To gather all the low-level metrics data from the target server. cAdvisor: To monitor low-level usage of Docker-based containers in real-time. Grafana: To visualize graphs /usage of different metrics. AlertManager: To alert the users based on the conditions defined in alert rules via email/slack/pagerduty etc. Node-exporter gathers real-time OS-level metrics from Docker Host similarly, cAdvisor gathers docker level metrics from Docker engine for all the running containers. Prometheus pulls those metrics and stores them in TSDB for further manipulation. AlertManager queries the Prometheus TSDB based on the rules defined alert managers alert_rules.yml file and it would trigger the alerts to different communication channels as configured. Grafana is used to visualize the data stored in Prometheus with different dashboard widgets. you can create a data source such as Prometheus so that it will send the metrics to Grafana and import a dashboard to visualize those data metrics. ▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬ 0:00 Intro 0:10 Continuous monitoring flow 1:34 Priviosioning the infrastructure 3:01 Create a security group 6:10 Install Docker 7:45 Start Prometheus 15:30 Start Node exporter 17:12 Start cAdvisor 19:45 Start Grafana 21:25 Start alert manager 25:03 Add a data source in Grafana 26:27 Import dashboards in Grafana 32:30 Configure AlertManager 35:04 Trigger an Alert 🔗 Links: Public GitHub repository to download the configuration files and docker commands that I have used in the video 🤍 🔥 Check out our complete AWS Playlist here: 🤍 🤍 🤍 🤍 🤍 🔥Check out our DevOps Playlist here: 🤍 Subscribe to our channel to get notified about the latest videos. 🔥 🤍 Connect with me 👋 LINKEDIN: ► 🤍 FACEBOOK: ► 🤍 TWITTER: ► 🤍 #Prometheus #DevOps #TechTutorialswithPiyush References 📚: 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍
For more info, go to: Grafana Alerting page: 🤍 Grafana Alerting documentation: 🤍
In this video I have discussed about monitoring production Jenkins using prometheus, influxdb and grafana. Pre-requisites to watch this video are ✔️ Basic Docker concepts ✔️ Basic Idea on tools like Prometheus, Grafana & InfluxDB ✔️ Basic of sql queries 💥 💥 Time-stamps 💥 💥 0:00 - Intro 1:00 - Brief explanation about Dashboard 7:14 - Setup steps 8:35 - Creating Setup 44:50 - Creating Dashboard 📺 Prometheus tutorials - 🤍 📺 Other Monitoring Videos - 🤍 📂Git Repositories 📂 💡 Cheatsheet repo - 🤍 💡Prometheus repo ( docker commands & influx query ) - 🤍 If you like the video like ✅, share 🔁 and subscribe 🔔 Happy Learning 📚📖📕 You can follow me on Telegram group - 🤍 LinkedIn - 🤍 Github - 🤍 Grafana Monitoring || Jenkins Monitoring || Jenkins real time monitoring
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A complete walkthrough of completely free and open source solutions to monitor your Linux, Windows, and Docker servers. In the view we see how we can setup and configure Prometheus, Node Exporter, Grafana, and cAdvisor to monitor servers in our environment and how you can easily configure these. Clone down the examples in this video from the following Git repository: 🤍 Subscribe to the channel: 🤍 My blog: 🤍 _ Social Media: 🤍 LinkedIn: 🤍 Github: 🤍 Introduction to Prometheus, Node Exporter, Grafana, and cAdvisor - 0:00 Looking at how everything fits together - 1:15 Node Exporter details and written for Linux - 2:15 Windows Exporter to expose metrics for monitoring Windows machines - 2:28 cAdvisor for monitoring Docker containers - 2:56 Looking at the Linux host serving as the Docker container host - 3:26 Installing Docker Compose - 3:51 Verifying Docker Compose installation - 4:12 Looking at our Linux user used to run Docker on the Docker host - 4:27 Creating the local folder structure for the local volume mounts - 5:05 Using a crude bash script to create the folder structure - 5:23 Running the command to create the folders - 6:29 Overview of installing the monitoring stack with Docker Compose - 7:08 Editing the Docker Compose file for creating the monitoring stack - 8:03 Stepping through the Docker Compose configuration - 8:18 Talking through permissions and adding the User ID to avoid permissions issues with Prometheus - 9:22 Looking at cAdvisor and odd ports used - 10:47 Redis dependency 11:10 Saving the Docker Compose YAML file - 11:34 Running the Docker Compose UP command - 11:53 The provisioning of the containers finishes, checking everything to see if it is up and running - 12:18 Talking through troubleshooting if a container is crashing - 12:58 Containers are healthy and ready to move forward - 13:13 Talking about configuring Prometheus and getting metrics into Grafana - 13:23 Beginning the configuration of Prometheus - 13:43 Adding configuration to the Prometheus YAML file - 14:18 Stop and start Prometheus container to pick up the new YAML file - 14:43 Browsing out to port 3000 on Docker host to login to Grafana - 15:08 Change your password - 15:18 Navigate to settings and adding a data source - 15:30 Populating the address of our Prometheus installation - 15:48 Save and test the new data source - 16:06 Looking at the Explore dashboard icon - 16:17 Importing a community dashboard - 16:40 Getting the JSON file or ID from the Grafana community dashboards site - 17:00 Downloading the JSON or copy ID to clipboard - 17:30 Paste in the ID of the community dashboard - 17:42 Immediately you see the new dashboard imported to view metrics - 18:15 Looking at Windows Exporter to import metrics from a Windows host - 18:50 Download the Windows Exporter file and copy out to Windows host - 19:16 Running the Exporter installation and viewing Windows Exporter service - 19:30 Adding the Windows Exporter host to our Prometheus configuration - 19:50 Restarting Prometheus to pick up the new Windows host - 20:23 Download a Windows Exporter community dashboard - 20:37 Viewing the new Windows Exporter dashboard and information - 21:18 Talking about adding Docker to monitoring with Prmetheus and Grafana - 21:47 Looking at the Prometheus configuration and the cAdvisor configuration we have in place - 22:04 Concluding and wrapping up thoughts on Prometheus, Node Exporter, Grafana, and cAdvisor - 22:53 A written walkthrough of Prometheus Node Exporter monitoring: 🤍 Best docker containers for Synology NAS: 🤍
🔥1000+ Free Courses With Free Certificates: 🤍 Monitoring is Centric to Cloud Computing and DevOps. This video on Monitoring With Prometheus and Grafana will show you how monitoring is implemented using these two tools in detail. Behind the trends of cloud-native architectures and microservices lies a technical complexity, a paradigm shift, and a rugged learning curve. This complexity manifests itself in the design, deployment, and security, as well as everything that concerns the monitoring and observability of applications running in distributed systems. Fortunately, there are tools to help developers overcome these obstacles. At the observability level, for example, tools such as Prometheus and Grafana provide enormous help to the developers' community. Prometheus, a system and service monitoring system, collects metrics from pre-defined targets via a pull model. Targets can be found by Service Discovery or manually configured to pull data from endpoints of your application like an API server, Redis server, or SQL server. Grafana supports lots of data sources such as CloudWatch, Stackdriver, Elasticsearch, and sure, Prometheus. After connecting Grafana with the data sources, you could create a dashboard and panel manually, or import various dashboards shared on the offical website. This tutorial will help you to understand these two concepts that are Prometheus and Grafana and explain how monitoring can be done using them. The following pointers will be covered in this video: 00:00:00 Introduction 00:01:49 What is Prometheus? 00:10:34 What is Grafana? 00:15:13 Monitoring With Prometheus and Grafana Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. 🤍 Get the free Great Learning App for a seamless experience, enrol for free courses and watch them offline by downloading them. 🤍 About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - For more interesting tutorials, don't forget to subscribe to our channel: 🤍 - Learn More at 🤍 For more updates on courses and tips follow us on: - Telegram: 🤍 - Facebook: 🤍 - LinkedIn: 🤍 - Follow our Blog: 🤍 #GreatLearning #GreatLakes #DevOps #Grafana #Prometheus
Dashboard pro and Timescale Dev Advocate Avthar (🤍avthars) shows you how to use #Grafana to create dashboards that make it easy for you, teammates, and stakeholders to get the information you need quickly (with an awesome UI/UX to boot). You'll get a quick Grafana walkthrough, then dive straight into building dashboards for three scenarios: monitoring production apps w/ #Prometheus, tracking IoT device location, and analyzing public datasets - like the spread of COVID-19. By the end, you'll know how to create 6+ visualizations (from gauges to World Maps) – and use pro tips to see data trends over time, set thresholds to track key metrics, and more. 🛠 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 📌 Grafana tutorial ⇒ 🤍 📌 Join Timescale developer Slack ⇒ 🤍 📌 Start a free Timescale cloud trial ($300 in cloud credits to start 🎉) ⇒ 🤍 📌 Read Timescale Prometheus observability design doc ⇒ 🤍 📌 Get TimescaleDB observability Helm charts (GitHub) ⇒ 🤍 🐯 𝗔𝗯𝗼𝘂𝘁 𝗧𝗶𝗺𝗲𝘀𝗰𝗮𝗹𝗲 At Timescale, we are dedicated to serving developers worldwide, enabling them to build exceptional data-driven products that measure everything that matters. Analyzing this data across the time dimension ("time-series data") enables developers to understand what is happening right now, how that is changing, and why that is changing. We are backed by top-tier investors with a track record of success in the industry. 💻 𝗙𝗶𝗻𝗱 𝗨𝘀 𝗢𝗻𝗹𝗶𝗻𝗲! 🔍 Website ⇒ 🤍 🔍 Slack ⇒ 🤍 🔍 GitHub ⇒ 🤍 🔍 Twitter ⇒ 🤍 🔍 Twitch ⇒ 🤍 🔍 LinkedIn ⇒ 🤍 🔍 Timescale Blog ⇒ 🤍 🔍 Timescale Documentation ⇒ 🤍 📚 𝗖𝗵𝗮𝗽𝘁𝗲𝗿𝘀 ⏱ 0:00 ⇒ Introduction ⏱ 2:43 ⇒ Why use Grafana? ⏱ 5:45 ⇒ Grafana Orientation and Data Source Set up ⏱ 12:33 ⇒ Let's code! 6 common visuals you can use today ⏱14:06 ⇒ DevOps data Visuals (Single Stat, Gauge, Graph, Single Stat with Background) ⏱ 37:44 ⇒ IoT and Geospatial Visuals (World Map and Variables) ⏱ 54:00 ⇒ Public dataset Visuals (Graph with Series-override) ⏱ 59:11 ⇒ Recap and next steps ⏱ 59:58 ⇒ Resouces and Q&A
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⬇ ⬇ Kanal Unterstützung & weitere Video zum Thema Grafana, Proxmox & InfluxDB2 ⬇ ⬇ ▬ Infos ▬▬▬▬▬▬▬ 🤍 ▬ Mein SmartHome ▬▬▬▬▬▬▬ »Meine SmartHome Zentrale/Steuerung« ☛🤍 »Mein Smart Home« ☛🤍 »Produkte die ich verwende« ☛🤍 »ioBroker Hardware/MiniPC« ☛🤍 »Steckdosen/Tasmota« ☛🤍 »Zigbee Komponenten« ☛🤍 »Netzwerk/Switch/WLAN« ☛🤍 »Maker Zubehör & ESP8266« ☛🤍 »Kameras« ☛🤍 ▬ PayPal-Spende ▬▬▬▬▬▬▬ 💰🤍 💰 ▬ Alle Produkte die ich verwende ▬▬▬▬▬▬▬ 📦 🤍 📦 ▬ Videos zum Thema Proxmox, Grafana & InfluxDB2 ▬▬▬▬▬▬▬ ☛ Proxmox Installation: 🎦 🤍 ☛ Proxmox ioBroker Installation: 🎦 🤍 ☛ Proxmox WireGuard: 🎦 🤍 ☛ Proxmox AdGuard/Docker Installation: 🎦 🤍 ☛ Proxmox Nginx/Docker installation: 🎦 🤍 ☛ Proxmox Nginx Konfiguration: 🎦 🤍 ☛ Proxmox MotionEye: 🎦 🤍 ☛ Proxmox USB ZigBee LXC Passthrough: 🎦 🤍 ☛ Proxmox Stromverbrauch senken: 🎦 🤍 ☛ InfluxDB 2.x & Grafana: 🎦 🤍 ☛ Grafana Diagramme per Telegram versenden: 🎦 🤍 ☛ Grafana Basics/Grundlagen Folge 1 🎦 🤍 ☛ Grafana Basics/Grundlagen Folge 2 🎦 🤍 ☛ Grafana Basics/Grundlagen Folge 3 & ioBroker Vis Integration 🎦 🤍 ☛ Grafana Basics/Grundlagen Folge 4 Kosten berechnen 🎦 🤍 ☛ Grafana Basics/Grundlagen Folge 5 Sortieren 🎦 🤍 ☛ Influx v1.8 upgrade v2.x 🎦 🤍 ▬ Social Media ▬▬▬▬▬▬▬ Support nur Über WhatsApp 📞 WhatsApp: 06103-988-4326 Kein Support über Instagram oder FB-Messenger ✍️ Instagram: 🤍 ✍️ Facebook: 🤍 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⚠️Alle Links zu Produkten sind Affiliate-Links. ⚠️Diese Links helfen mir diesen Kanal und meine Arbeit zu finanzieren. ⚠️Für euch ändert sich nichts an dem Preis durch das anklicken! #grafana #influx #EddyDsSmartHome 0:00 Einleitung 3:43 Überblick 5:15 erstes Diagramm 16:28 Diagramm 2 Werte + Axis Placement + Override 25:35 Diagrammtyp Gauge + Thresholds 29:58 Diagrammtyp Stat + Value mappings 32:08 Legende + Range
Subscribe to Support the channel: 🤍 Need help? Message me on LinkedIn: 🤍 Want to connect on Instagram? Here is my id 🤍vikasjha001 ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 Get complete latest Grafana Course on Udemy which teaches below topics: ✔️udemy: 🤍itpanther.com/grafana Here is what you will learn in the course: 📘 Grafana Introduction 📘 Grafana Overview and Overall Architecture 📘 Installing Grafana on a Linux Server 📘 Installing Grafana on Windows 📘 Starting, Stopping Grafana Services on Windows 📘 Installing Grafana on Docker 📘 Creating Grafana Dashboards 📘 Grafana User Interface Overview 📘 Installing and Managing InfluxDB Services 📘 Installing and Managing Telegraf Services 📘 Grafana Dashboard - Server Health Summary Dashboard 📘 Graph Panel - CPU & Memory Utilization 📘 Graph Panel - Multiple Servers & Problem Statement to use Grafana Variables 📘 Custom Variable - Static Variable Values 📘 Query Variable - Dynamic Variable Values 📘 Dependent Varialbes - Cascaded Variables 📘 Dependent Variables - Udemy.mp4 📘 Automatic Repeat Panel Based on Variable Value 📘 Organizing Panels and Dashboards for Easy Management 📘 Repeat Row to Create Dynamic Grafana "Summary Dashboard" 📘 Fixing Y Axis' Minimum and Maximum Value in Graph Panel 📘 Creating Thresholds in Graph Visualizations 📘 Python Program to Increase Memory Utilization for Testing Purpose 📘 Creating Thresholds in Graph Visualization and StatsD Graphs 📘 Advance Tabular Visualization With Gauge in one column 📘 Advance Stat Visualization in Grafana 7 📘 Exploring More Visualization Properties - Legends, Axis, Series Override 📘 Creating Grafana Dashboard Using MySQL As Data Source 📘 Using Custom SQL Query to Create Dashboard 📘 Monitoring Websites and Docker Services 📘 Monitoring Websites or URL Using Grafana 📘 Monitor Docker Services 📘 Installing Plugins 📘 Installing Plugins and Creating Pie Chart Visualization 📘 Creating Alerts and Annotation in Dashboards in Grafana 📘 Grafana Email Alerts Configuration 📘 Grafana and Telegram Integration and Alerts Configuration 📘 Users and Roles Creation and Management in Grafana 📘 User and Roles Creation in Grafana 📘 Embedding Grafana Panel on Any Website 📘 Embedding Grafana Panel in any HTML Page (Website) 📘 Upgrading Grafana From Version 6 to Version 7 (Latest Version) 📘 Optional - Upgrade Grafana From Version 6 to Version 7 📘 Optional - Changing Grafana Database to MySQL ✔️ Join Grafana Group on Telegram to ask any questions: 🤍 ✔️ Connect to me: 💥 LinkedIn 🤍 📷 Instagram 🤍 ✈️ Channel 🤍 Do subscribe for more tutorials. 🤍youtube.com/c/vikasjha001?sub_confirmation=1 #LearnGrafanaByVikasJha #Grafana #VikasJha Sign up to Skillshare using this link and get one month free membership. 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍 Here is the Paypal account to support this channel financially: 🤍
In this Kubernetes monitoring video, we are going to dive deep into Kubernetes monitoring. We are going to learn what is Prometheus, how does Prometheus run behind the scene, Prometheus demo. Then we will understand what is Grafana and why we need it, explain step by step Grafana demo, along with explaining how to import/export dashboards. Demo done on EKS server. Deploy Metrics server: 🤍 Prometheus installation: 🤍 Grafana installation steps: 🤍 💰👨🎓 Get my courses with max discount and 30 day moneyback guarantee: 🤍 Connect with me 🤳 Instagram: 🤍 🏢 LinkedIN: 🤍 🐦Twitter: 🤍 🖼 Facebook: 🤍 TIMESTAMPS: 00:00 Intro 00:57 What is Prometheus 01:27 Prometheus running as daemon 02:41 Prometheus demo 07:41 Grafana - what and why 08:40 Grafana demo 14:03 Explaining graph IDs for Grafana
Infinity datasource: 🤍 Infinity datasource document : 🤍 Dashboard JSON : 🤍 For support, queries and bugs visit 🤍
Grafana Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream. Grafana Loki can be used to search, analyze, and alert on logs. It can also be used in conjunction with Grafana, a popular open-source data visualization tool, to create dashboards and visualizations of log data. Promtail (short for "Prometheus Log Tail") is a daemon that reads log files and sends the log data to a Loki instance. It is designed to work in conjunction with Grafana Loki to provide a log aggregation and analysis solution. Promtail runs on each node in a cluster and reads log files, extracting relevant metadata (such as labels) and sending the log data to a Loki instance. It can automatically discover new log files and can be configured to handle logs from various sources, such as Docker containers, Kubernetes pods, and system logs. This allows for a more efficient and centralized log management system. Timeline 00:00 Grafana Loki Introduction 01:50 Grafana Loki Architecture 02:50 Grafana Loki and Promtail Installation 05:35 Understanding Promtail Configuration File 09:52 Configuring Loki data source in Grafana
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![Grafana Basics/Grundlagen Folge 1 [Influx Flux ioBroker Anfänger Beginner]](https://i.ytimg.com/vi/kxbtz7J0pYQ/mqdefault.jpg "Grafana Basics/Grundlagen Folge 1 [Influx Flux ioBroker Anfänger Beginner]")
