NashTech Insights

How to Unveil Microservices Insights: Harnessing Kiali and Prometheus for Monitoring

Rahul Miglani
Rahul Miglani
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The dynamic world of microservices demands vigilant monitoring to ensure optimal performance and reliability. Kiali, a powerful observability tool designed for Istio, and Prometheus, a leading open-source monitoring and alerting toolkit, form a formidable duo to monitor and analyze the behavior of your microservices ecosystem. In this blog, we’ll guide you through the process of combining Kiali and Prometheus to collect, analyze, and act upon critical service metrics, enabling you to maintain a robust and responsive microservices architecture.

The Power of Kiali and Prometheus Integration

Kiali excels in providing real-time visualization of service mesh interactions, traffic flows, and dependencies. On the other hand, Prometheus specializes in monitoring and collecting metrics from various sources, enabling you to gain deeper insights into system behavior. When these two tools come together, you’re equipped to comprehensively monitor your microservices, detect anomalies, and proactively address issues.

Integrating Kiali and Prometheus: A Step-by-Step Guide

Step 1: Deploy Kiali

  1. Install and configure Istio in your Kubernetes cluster.
  2. Deploy Kiali using the official documentation, ensuring proper access controls.

Step 2: Deploy Prometheus

  1. Set up Prometheus in your cluster. You can use Helm charts or manual configurations.
  2. Ensure Prometheus scrapes relevant metrics from your microservices components.

Step 3: Configure Kiali to Use Prometheus

  1. Access the Kiali dashboard and navigate to Istio Config.
  2. In the Metrics section, configure Kiali to use Prometheus as its data source.

Step 4: Explore Metrics in Kiali

  1. Navigate to Kiali’s Metrics section to explore various metrics available from Prometheus.
  2. Use Kiali’s visualization capabilities to analyze service behavior, traffic, and performance.

Step 5: Set Up Alerts

  1. Leverage Prometheus’ alerting features to set up alert rules based on metrics thresholds.
  2. Configure alert notifications to stay informed about critical issues.

Step 6: Create Custom Dashboards

  1. Utilize Prometheus’ query language (PromQL) to create custom metrics queries.
  2. Build tailored dashboards in Kiali to visualize the metrics that matter most to your application.

Step 7: Perform Root Cause Analysis

  1. Combine Kiali’s visualization with Prometheus’ metrics to perform root cause analysis.
  2. Identify performance bottlenecks, errors, and trends affecting your microservices.

Best Practices for Effective Monitoring

  • Focused Metrics: Select metrics that align with your monitoring objectives.
  • Granularity: Opt for metrics with appropriate granularity to capture meaningful insights.
  • Regular Review: Periodically review your metrics and alerts to ensure relevance.
  • Collaboration: Share insights and dashboards with relevant teams for collective awareness.


By combining the capabilities of Kiali and Prometheus, you unlock a comprehensive monitoring solution that delves deep into your microservices architecture. With Kiali’s visualization prowess and Prometheus’ metrics collection power, you gain a holistic understanding of your application’s behavior, performance, and reliability. Embrace this integration to proactively detect anomalies, optimize performance, and enhance the overall health of your microservices. With Kiali and Prometheus at your side, you’re equipped to navigate the complex microservices landscape with confidence and precision.

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.

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