Evolution of an Enterprise Monitoring Solution on Azure
Redesign of the Azure Monitoring architecture with a Dedicated Azure Monitor Cluster, standardized DCR Rules, and complete Infrastructure as Code automation.
2x Cloud Engineers 1x Project Manager 1x Cloud Architect
1 Year
Our Impact
Central Observability
All logs in one platform – central observability across the entire landscape
Uniform Standards
Consolidated DCRs and alerting – less noise, more precise alerts
100% Infrastructure as Code
Entire monitoring architecture versioned and reproducible via Bicep & CI/CD
The Challenge
The existing monitoring had grown over the years. Different departments used different alerting rules and log structures – without a central overview. The costs for log ingestion rose continuously, while the quality of alerts decreased: too much noise, too little relevance. At the same time, a uniform strategy for security logs and their integration was missing. Changes to the monitoring configuration were made manually and were difficult to trace. The goal: A modern, consolidated Monitoring Architecture V2 that lowers costs, increases quality, and is managed entirely in code.
The Solution
We developed a holistic Monitoring Concept V2 and implemented it end-to-end. The starting point was a dedicated landing zone for monitoring, followed by the implementation of an Azure Data Explorer Dedicated Cluster for performant analyses of large volumes of data. All Data Collection Rules were revised and standardized. Together with the security team, we defined requirements for security logs and their integration into ADX. The alerting landscape was consolidated – fewer but more meaningful alerts instead of noise across all areas. The entire implementation was carried out via Azure Bicep and CI/CD pipelines.
A central monitoring platform was created that is fully versioned in code and sets clear standards for the entire landscape. The consolidated log architecture as well as uniform alerting standards and a Dedicated Azure Monitor Cluster form the basis for reliable observability, less noise with alerts, and significantly faster response times. The solution is reproducible at any time and designed for future expansion.
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