Microsoft Azure Monitor

What differentiates Microsoft Azure Monitor from other similar products?

Azure Monitor leverages Log Analytics, which offers a powerful, flexible query language (Kusto Query Language, or KQL) for exploring, correlating, and visualizing data.

What is your favorite aspect of this product?

The ability to use Log Analytics with Kusto Query Language (KQL) to query and correlate data from multiple sources is powerful, providing deep insights and actionable analytics in a centralized platform.

What do you dislike most about this product?

is its complex pricing structure and potential for unexpected costs.

What recommendations would you give to someone considering this product?

Get familiar with Log Analytics and KQL for deep data exploration. KQL is a powerful query language that allows you to correlate logs, metrics, and traces efficiently.

What differentiates Microsoft Azure Monitor from other similar products?

Microsoft azure monitor provides easily implementation and good customer support in minimal price. And it’s also provide very good reporting for look.

What is your favorite aspect of this product?

Easy implementation of product. There are only basic knowledge required for implementation.by using this product we save money and highly availability of our application.

What do you dislike most about this product?

Not much we can’t say any dislike. I love Microsoft products.

What recommendations would you give to someone considering this product?

Yes I will recommend this product.

What differentiates Microsoft Azure Monitor from other similar products?

It differentiates itself from other similar products such as AWS CloudWatch, or Datadog) through combination of deep integration. It is natively integrated into the entire ecosystem. If can be monitored with minimal configuration. It covers a wide range of resources. It provides a unified platform for monitoring infrastructure, applications, and networks. Log analytics leverages KQL, a powerful query language, to perform advanced log queries. It offers dynamic threshold and intelligence alerting powered by machine learning. It uses AI to detect and diagnose performance issues and failures.

What is your favorite aspect of this product?

It often varies depending on user needs and specific use cases. Most appreciated aspects is its ability to provide a unified view of all azure resources. Users can monitor infrastructure, applications, and networks in one place. KQL allows for powerful data manipulation and visualisation. The tight integration with azure service is a favourite among users. The inclusion of application insights is highly favoured for application performance monitoring. Dynamic alerting features are highly appreciable which is powered by machine learning.

What do you dislike most about this product?

Users iften find that azure monitor can be complex for newcomers. The array, features, settings can be overwhelming. KQL is powerful it can be difficult for users who are not experienced with querying languages. Although azure monitor operates on a pay as you go models, it frequently report challenges in estimating costs accurately. Organisation with significant logging and monitoring needs may find costs. Sometimes it may find the interface to be less intuitive compared to others tools.

What recommendations would you give to someone considering this product?

Organisation with experts can consider more because freshers may gets a lag with the complex array and features. Smaller organisation may not be preferable coz its cost may not be valuable for them. A resource with high know initial implementation may require perfect experts, so consider the organisation who are having a talented resource can preferred more.