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‎.openpublishing.redirection.json

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‎learn-pr/achievements.yml

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title: Data tracking and synchronization with Azure SQL Database
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summary: "This module introduces you to several data tracking, loading, and streaming tools that you can use to track or synchronize data changes from your Azure SQL Database to other destinations. More specifically, we cover: change data capture (CDC) and change tracking."
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iconUrl: /training/achievements/learn-azure-sql-replication.svg
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- uid: learn.make-recommendations-ai-personalizer.badge
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type: badge
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title: Make recommendations with Azure AI Personalizer
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summary: Learn how to use Azure AI Personalizer to empower your apps with smarter decision making through improved recommendations.
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iconUrl: /learn/achievements/generic-badge.svg

‎learn-pr/philanthropies/describe-best-practices-datacenter-operations/0-introduction.yml

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### YamlMime:ModuleUnit
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uid: learn.philanthropies.describe-best-practices-datacenter-operations.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: This content is a part of the Describe the best practices for datacenter operations.
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ms.date: 05/07/2025
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author: kiranchandratrey
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ms.author: elenasim
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ms.topic: unit
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durationInMinutes: 3
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content: |
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[!include[](includes/0-introduction.md)]

‎learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/0-introduction.md

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This module covers essential topics to ensure the efficiency, reliability, and security of datacenters.
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In this module, you'll learn about:
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- Real-time monitoring of datacenters, including environmental, performance, security, and infrastructure monitoring.
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- Key Performance Indicators (KPIs) used to track datacenter health and operational efficiency.
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- The role of automation and predictive monitoring in preventing downtime and ensuring reliability.
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- The importance of regular maintenance for hardware, software, power systems, cooling systems, and fire protection systems.
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- Disaster recovery strategies and techniques for maintaining low latency operations.
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By the end of this module, you will have a solid understanding of maintenance and monitoring best practices, enabling you to manage datacenters effectively and ensure their optimal performance.

‎learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/1-datacenter-monitoring.md

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## What is datacenter monitoring?
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Datacenter monitoring is a critical aspect of datacenter operations. It ensures that all systems and infrastructure components are functioning optimally. Monitoring involves continuous tracking of factors such as environmental conditions, equipment performance, security, and overall system health.
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By using advanced monitoring tools and technologies, datacenters can:
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Next let's review who is responsible for monitoring in each type of datacenter.
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**Enterprise datacenters**
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In enterprise datacenters (owned and operated by large organizations like banks, hospitals, or tech companies), the responsibility for monitoring is typically handled by in-house IT teams or specialized datacenter operations staff.
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In-house IT teams: These teams are part of the organization and handle a broad range of IT tasks, including network management, user support, software updates, and cybersecurity.
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Specialized datacenter operations staff: These are either internal teams dedicated exclusively to managing and maintaining datacenter infrastructure or external staff specifically trained for the job. They focus on servers, storage, cooling systems, and power management.
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**Colocation datacenters**
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In colocation datacenters, the datacenter provider typically handles the physical infrastructure monitoring (e.g., temperature, power, and security), while clients (e.g., tenant organizations) are responsible for monitoring their own equipment and software (e.g., servers, storage, network).
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**Hyperscale datacenters**
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In hyperscale datacenters (typically operated by large cloud providers like Amazon, Google, or Microsoft), monitoring is highly automated, with specialized teams in charge of continuous environmental monitoring and performance monitoring across massive datacenter fleets.
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**Edge datacenters**
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In edge datacenters (smaller facilities located closer to end-users, often supporting 5G or IoT applications), monitoring can be more distributed and may involve remote management tools. Local teams and automated monitoring systems are responsible for maintaining uptime and optimal performance.
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**Managed services datacenters**
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In managed services datacenters (like those run by Rackspace or IBM), the provider is responsible for both infrastructure and service level monitoring. These datacenters offer end-to-end managed services, including monitoring of hardware, software, and network.
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|Datacenter type|Responsible team|
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|----|---|
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|**Enterprise datacenters**|In enterprise datacenters (owned and operated by large organizations like banks, hospitals, or tech companies), the responsibility for monitoring is typically handled by in-house IT teams or specialized datacenter operations staff.</br>- *In-house IT teams:* These teams are part of the organization and handle a broad range of IT tasks, including network management, user support, software updates, and cybersecurity.</br>- *Specialized datacenter operations staff:* These are either internal teams dedicated exclusively to managing and maintaining datacenter infrastructure or external staff specifically trained for the job. They focus on servers, storage, cooling systems, and power management.|
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|**Colocation datacenters**|In colocation datacenters, the datacenter provider typically handles the physical infrastructure monitoring (e.g., temperature, power, and security), while clients (e.g., tenant organizations) are responsible for monitoring their own equipment and software (e.g., servers, storage, network).|
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|**Hyperscale datacenters**|In hyperscale datacenters (typically operated by large cloud providers like Amazon, Google, or Microsoft), monitoring is highly automated, with specialized teams in charge of continuous environmental monitoring and performance monitoring across massive datacenter fleets.|
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|**Edge datacenters**|In edge datacenters (smaller facilities located closer to end-users, often supporting 5G or IoT applications), monitoring can be more distributed and may involve remote management tools. Local teams and automated monitoring systems are responsible for maintaining uptime and optimal performance.|
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|**Managed services datacenters**|In managed services datacenters (like those run by Rackspace or IBM), the provider is responsible for both infrastructure and service level monitoring. These datacenters offer end-to-end managed services, including monitoring of hardware, software, and network.|

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