Infrastructure monitoring with dashboards is critical to identifying and recording important metrics for systems in use. It can be used to present operational and analytical business data with interactive data visualizations to your team.ĭashboards can aid senior leaders, executives, and engineers in establishing targets, analyzing progress, monitoring their infrastructure, and implementing appropriate changes. There is a setup-pro.sh script to start the docker-compose and initialize certificates.Before exploring open-source dashboard tools, we first need to learn about Dashboards and how they can be useful.Ī dashboard is a data visualization and management tool that visually tracks and analyzes the Key Performance Indicators (KPIs), business analytics metrics, infrastructure health and status, and data points for an organization, team, or process. However, the Pro features won’t be available. It will set you a Let's Encrypt HTTPS certificate. You can use it if you have a domain name available. I will use the docker-compose-pro.yaml for starting the Mercury server. EMAIL_ADDRESS and EMAIL_PASSWORD - credentials used in notebook EmailService class.The welcome message is in Markdown in the same directory as notebooks. WELCOME - the path to the welcome message.TIME_ZONE - the timezone that will be used for scheduling (you can read more about scheduling in the docs).NOTEBOOKS_PATH - the path to the folder with notebooks.If you don’t have a domain, you can use the IP address. ALLOWED_HOSTS - the comma-separated hosts, I used here the domain name.We will need to install docker and important variables that need to be set: The machine should have the git already installed. Please login to the machine (there should be Connect button in AWS instances view). It is important to allow HTTPS and HTTP traffic to the machine:Īfter machine start I set a route in Route 53 service with A record pointing to the IP of the machine. I will use t3a.small machine with 2 vCPU and 2 GB of RAM and Ubuntu operating system: I will deploy the dashboard created in Python to the AWS EC2 machine. The additional parameter is schedule: '30 8 * * 1-5', and the full YAML in the notebook is presented in the picture below: I will set the execution for every day between Monday and Friday at 8.30 in the morning. You just need to add schedule parameter in the YAML with crontab string. The notebook can be easily executed in the schedule with the Mercury framework. You can change the widget values and execute the notebook with new values. You can open the web browser and see the dashboard running: It will load your Python notebook and serve locally at 127.0.0.1. The widgets are directly connected to variables in the Python code. In the below YAML header the two widgets are added stock_symbol and crypto_symbol. Additionally, the interactive widgets can be added to the notebook. The code can be easily hidden with show-code: False. The header defines title and description. It requires a YAML header in the first raw cell in the notebook. The notebook can be turned into a web application with Mercury framework. get ( f " in the last 7 days." ) Turn notebook to web application Import requests crypto_symbol = "BTC" # Bitcoinĭef get_crypto_data ( symbol ): try : response = requests. Let’s clone the empty repo to the local machine: The link to the repo: /pplonski/python-dashboard - keeping code in the repository will be a handful for deployment. The project’s code will be in the GitHub repository. The first step is to set up the environment for development. The web application will be deployed to AWS EC2 with docker-compose. It converts Jupyter Notebook into a web application and schedules notebook execution. The dashboard will be served with an open-source Mercury framework. The data will be displayed on charts and value boxes.
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