NashTech Insights

Tailoring Insights: A Guide to Customizing Kiali Dashboards

Rahul Miglani
Rahul Miglani
Table of Contents
man wearing brown suit jacket

Kiali, a robust observability tool designed for Istio, provides a wealth of information to understand the intricate interactions within your service mesh. However, every microservices architecture has its unique monitoring and visualization requirements. This is where the power of customizing Kiali dashboards comes into play. In this tutorial, we’ll walk you through the process of tailoring Kiali dashboards to suit your specific monitoring needs, enabling you to gain precise insights and make informed decisions about your microservices ecosystem.

Understanding the Need for Customization

While Kiali offers pre-configured dashboards, customizing them ensures that you focus on the metrics and visualizations that matter most to your application. By designing dashboards that align with your business goals and operational priorities, you can streamline monitoring and troubleshooting processes.

Step-by-Step Guide to Customizing Kiali Dashboards

Step 1: Access Kiali Dashboard

  1. Log in to your Kiali dashboard using the provided URL and credentials.

Step 2: Navigate to Dashboards

  1. Locate the Dashboards section in the Kiali dashboard’s main menu.
  2. Click on it to explore the available dashboards.

Step 3: Duplicate a Dashboard

  1. Choose a pre-existing dashboard that closely aligns with your needs.
  2. Click on the three-dot menu (usually represented by “More”) and select Duplicate.
  3. Rename the duplicated dashboard to reflect its customized purpose.

Step 4: Edit the Duplicated Dashboard

  1. Click on the pencil icon or “Edit” option to open the duplicated dashboard in edit mode.
  2. Now, you’re ready to make modifications.

Step 5: Add Panels and Visualizations

  1. Click on Add Panel to insert a new visualization.
  2. Choose the type of visualization you want, such as line chart, bar chart, or pie chart.
  3. Configure the data source, metrics, and dimensions based on your requirements.

Step 6: Organize and Arrange Panels

  1. Drag and drop panels to rearrange them on the dashboard.
  2. Resize and adjust panels to optimize the layout for your monitoring needs.

Step 7: Configure Time Range and Filters

  1. Set the time range for the data displayed on the dashboard. Choose from predefined ranges or specify a custom period.
  2. Apply filters to focus on specific namespaces, services, labels, or other relevant dimensions.

Step 8: Save and Share

  1. Once you’re satisfied with your customized dashboard, click on Save to preserve your changes.
  2. Consider sharing the dashboard with relevant teams to facilitate collaboration.

Best Practices for Effective Customization

  • Start Simple: Begin with a few key visualizations and gradually add complexity as needed.
  • Align with Goals: Customize dashboards to reflect your operational and business goals.
  • Regular Review: Periodically review and update dashboards to ensure they stay relevant.

Conclusion

Customizing Kiali dashboards offers you a tailored insights lens into your service mesh’s behavior. By designing visualizations that resonate with your monitoring priorities, you can quickly identify anomalies, track performance trends, and expedite troubleshooting efforts. Kiali’s flexibility empowers you to adapt to evolving microservices needs, gaining deeper insights and making smarter decisions. Embrace the art of customization to unlock the full potential of Kiali and elevate your microservices observability game.

Rahul Miglani

Rahul Miglani

Rahul Miglani is Vice President at NashTech and Heads the DevOps Competency and also Heads the Cloud Engineering Practice. He is a DevOps evangelist with a keen focus to build deep relationships with senior technical individuals as well as pre-sales from customers all over the globe to enable them to be DevOps and cloud advocates and help them achieve their automation journey. He also acts as a technical liaison between customers, service engineering teams, and the DevOps community as a whole. Rahul works with customers with the goal of making them solid references on the Cloud container services platforms and also participates as a thought leader in the docker, Kubernetes, container, cloud, and DevOps community. His proficiency includes rich experience in highly optimized, highly available architectural decision-making with an inclination towards logging, monitoring, security, governance, and visualization.

Leave a Comment

Your email address will not be published. Required fields are marked *

Suggested Article

%d bloggers like this: