It is very much obvious when you are handling a business with multiple services that an unexpected problem happens. If you’re owning a clothing brand, a store could underperform. If you’re owning a factory, a factory or some part of the machinery could create an unusual rhythm, causing the entire system to fail. If you’re owning a website based business, there could be a sudden spike in your online traffic. In all these situations, reacting as quickly as possible is very critical.

Imagine an AI powered service that could help you stay multiple steps ahead of issues, proactively monitor the performance for you of your business’ operations and notify you if and when a problem arises.

The all-new Azure Metrics Advisor streamlines monitoring, diagnosis and notifications. If you want to embed advanced analytics into your apps, then it can prove to be complicated. To counter that, the all-new Azure Metrics Advisor carries a straightforward approach. The user interface of the Azure Metrics Advisor gives you everything that you need to manage things from monitoring to diagnostics - end-to-end.

For example, there is an unusual behaviour in your data. The all new Azure Metrics Advisor would pinpoint it with the help of machine learning. It would help you accelerate troubleshooting with powerful root-cause analysis, filtering out false alarms signalling the key drivers so you can fix the issue before it becomes a real problem. On top of that, the all new Azure Metrics Advisor’s simplified data preparation makes ingestion a super easy task. It is an extremely powerful combination of granular analysis topped up with real time monitoring and adaptive models without the need for machine learning expertise. The all new Azure Metrics Advisor is the expert that will help protect your organisation’s growth.

The all new Azure Metrics Advisor is a part of Azure Applied AI services that uses AI to perform data monitoring and anomaly detection in time series data. The all new Azure Metrics Advisor can help you connect to multiple data sources and ingest multi-dimensional metric data from those data stores. The data stores and/or services that it can connect to are SQL server, Azure Blob Storage, MongoDB and more.

The all new Azure Metrics Advisor selects the best model suited for your data on its own without you needing to know anything about machine learning, as mentioned earlier. It also automatically monitors everything every single time series within various multi-dimensional metrics. Moreover, you can use parameter tuning and interactive feedback to customize the model applied on your data and also on your future anomaly detection results.

This article was to give you an overview about the all new Azure Metrics Advisor. In some time, I will be giving a demonstration on how to use the Azure Metrics Advisor.