NashTech Insights

Unraveling Observability in Azure

Rahul Miglani
Rahul Miglani
Table of Contents
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Firstly, In today’s cloud-centric landscape, observability plays a pivotal role in ensuring the optimal performance and reliability of applications and systems. Microsoft Azure, one of the leading cloud platforms, provides a robust set of tools and services to enable organizations to gain deep insights into their Azure-based environments. In this blog post, we will explore the concept of observability in Azure.We will highlight some of the best tools and techniques available to enhance cloud observability and drive operational excellence.

Understanding Observability in Azure:

Firstly, Observability in Azure refers to the ability to gain comprehensive insights into the behavior and performance of applications, infrastructure, and services running on the Azure cloud. It involves collecting, analyzing, and visualizing various metrics, logs, and traces to monitor and troubleshoot Azure resources effectively. By leveraging observability in Azure, organizations can proactively identify and address performance bottlenecks, optimize resource utilization, and enhance the overall end-user experience.

Key Components of Azure Observability:

To achieve observability in Azure, several key components come into play:

Azure Monitor:

Firstly , Azure Monitor is a central hub for monitoring and observability in Azure. It provides a unified view of various Azure resources, including virtual machines, containers, and applications. Azure Monitor collects telemetry data such as metrics, logs, and traces from these resources, allowing organizations to gain real-time insights into their Azure environment. It also offers advanced analytics and alerting capabilities, enabling proactive monitoring and issue resolution.

Azure Application Insights:

Secondly , Azure Application Insights is a powerful Application Performance Monitoring (APM) service offered by Azure. It helps organizations monitor the performance and availability of their applications running on Azure, providing deep insights into application dependencies, response times, and exception rates. With its rich telemetry data, distributed tracing, and real-time analytics, Azure Application Insights empowers organizations to detect and diagnose application issues, optimize performance, and deliver exceptional user experiences.

Azure Log Analytics:

Thirdly, Azure Log Analytics is a comprehensive log management and analysis service in Azure. It enables organizations to collect, centralize, and analyze log data from various Azure resources, including virtual machines, containers, and applications. With its powerful query language, organizations can extract valuable insights from logs, identify patterns, and detect anomalies. Azure Log Analytics integrates seamlessly with other Azure services, such as Azure Monitor and Azure Security Center, providing a holistic observability solution.

Azure Network Watcher:

Azure Network Watcher is a network monitoring and diagnostics service that facilitates comprehensive network observability in Azure. It allows organizations to monitor and troubleshoot network traffic, analyze network performance, and gain visibility into network topology. Azure Network Watcher provides features such as packet captures, flow logs, and connection monitoring, enabling organizations to identify and resolve network-related issues effectively.

Azure Service Health:

Azure Service Health provides organizations with real-time insights into the health and status of Azure services. It offers proactive notifications and alerts about service incidents, planned maintenance, and other service-impacting events. With Azure Service Health, organizations can stay informed about any potential issues or disruptions that might impact their Azure resources, ensuring proactive response and minimizing downtime.

Azure Advisor:

Finally, Azure Advisor is a built-in cloud optimization and recommendation service in Azure. It provides personalized recommendations based on best practices and Azure usage patterns, aiming to improve the performance, security, and cost-effectiveness of Azure deployments. Azure Advisor offers recommendations across various areas, including performance optimization, cost management, security, and high availability, enabling organizations to continuously optimize their Azure resources for enhanced observability and efficiency.

Enhancing Azure Observability with Third-Party Tools:

In addition to the native Azure services mentioned above, several third-party tools can further augment observability in Azure. Some popular options include:


Firstly, Dynatrace is an AI-driven observability platform that provides comprehensive monitoring and performance analysis across cloud environments, including Azure. With automatic instrumentation, distributed tracing, and intelligent anomaly detection, Dynatrace offers deep insights into application performance and dependencies. Its AI capabilities enable organizations to automatically detect and analyze performance issues, providing precise root cause analysis and actionable insights for remediation.


Secondly, Datadog is a cloud monitoring and observability platform that integrates seamlessly with Azure, allowing organizations to gain full-stack visibility across their Azure-based infrastructure. With its comprehensive monitoring, log management, and application performance monitoring (APM) capabilities, Datadog enables organizations to monitor and optimize their Azure resources effectively. Its powerful analytics and alerting features assist in identifying performance bottlenecks and ensuring the reliability of Azure deployments.

New Relic:

Thirdly, New Relic is a cloud observability platform that offers end-to-end monitoring and troubleshooting capabilities for Azure environments. It provides real-time insights into application performance, infrastructure monitoring, distributed tracing, and log analysis. With its AI-powered anomaly detection and proactive alerting features, New Relic helps organizations identify and resolve issues before they impact end-users. Its user-friendly interface and extensive platform support simplify the process of gaining visibility and optimizing Azure-based applications.


Grafana, a popular data visualization and monitoring tool, can be integrated with Azure services to create visually appealing dashboards and gain insights into Azure resources. By leveraging Grafana’s extensive plugin ecosystem and support for various data sources, organizations can centralize their Azure monitoring data and customize their monitoring views. Grafana’s flexibility enables users to combine metrics from Azure Monitor, Azure Log Analytics, and other sources, providing a holistic view of their Azure environment.


Finally, AppDynamics, an application performance monitoring platform, offers comprehensive observability capabilities for Azure applications. By monitoring application performance metrics, transaction tracing, and user experience, AppDynamics provides deep insights into application behavior and performance. Its end-to-end visibility across applications, infrastructure, and user journeys enables organizations to optimize the performance and reliability of Azure-based applications.


Finally, Observability is a critical aspect of managing and optimizing Azure-based environments. The combination of native Azure services and third-party tools provides organizations with a powerful toolkit to gain comprehensive insights into their Azure resources, troubleshoot issues, and enhance performance and reliability. Whether leveraging Azure’s native monitoring and observability services or integrating third-party tools, businesses can ensure the efficient operation of their Azure deployments, deliver exceptional user experiences, and drive operational excellence in the cloud.

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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