Merge pull request #50401 from Albertyang0/NEW-describe-best-practices-datacenter-operations

Module 4 - Update some files according to the review

Author: Albertyang0

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

@@ -1,13 +1,17 @@
-:::image type="content" source="../media/technician-datacenter.png" alt-text="Screenshot of a technician in a data center." lightbox="../media/technician-datacenter.png":::
+## What is datacenter monitoring?
 
+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. 
 
-**What is datacenter monitoring?**
+By using advanced monitoring tools and technologies, datacenters can:
 
-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. By using advanced monitoring tools and technologies, datacenters can (1) detect potential issues before they cause damage, (2) maintain uptime, (3) prevent failures, and (4) optimize resource utilization. 
+- detect potential issues before they cause damage
+- maintain uptime
+- prevent failures
+- optimize resource utilization. 
 
 Proper datacenter monitoring helps ensure that servers, storage devices, cooling systems, power units, and networks operate within safe and efficient parameters, making it an essential practice for maintaining reliable and high-performance datacenter operations.
 
-**Who is responsible for datacenter monitoring?**  
+## Who is responsible for datacenter monitoring?
 
 Next let's review who is responsible for monitoring in each type of datacenter.
 

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/10-summary.md

@@ -1,6 +1,4 @@
-:::image type="content" source="../media/engineer-servers.png" alt-text="Screenshot of an engineer in front of servers." lightbox="../media/engineer-servers.png":::
-
-**What are the key aspects of datacenter monitoring?**
+## What are the key aspects of datacenter monitoring?
 
 - **Environmental:** It is important to maintain optimal conditions that prevent equipment failure and improve efficiency.
 

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/2-key-aspects-datacenter-monitoring.md

@@ -1,10 +1,8 @@
-:::image type="content" source="../media/team-troubleshooting.png" alt-text="Screenshot of a team troubleshooting in a server room." lightbox="../media/team-troubleshooting.png":::
-
-**What is datacenter maintenance?**
+## What is datacenter maintenance?
 
 Datacenter maintenance is a vital component of datacenter operations. It focuses on keeping all infrastructure and equipment running smoothly and efficiently. Datacenter maintenance involves regular inspection, servicing, and updating of systems, such as servers, storage devices, power supplies, cooling units, and networking hardware. Through proactive maintenance practices, datacenters can address potential issues before they lead to failures, reduce downtime, and extend the lifespan of critical equipment. Scheduled maintenance tasks (such as software updates, hardware replacements, and system optimizations) help maintain optimal performance and ensure that datacenter services remain reliable and available for users.
 
-**Who is responsible for datacenter maintenance?**
+## Who is responsible for datacenter maintenance?
 
 It's important to discuss who is responsible for maintenance in datacenters as this varies depending on the type of datacenter. Note that the individuals or groups that are responsible for datacenter maintenance are similar to those that are responsible for datacenter monitoring.
 

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/3-datacenter-maintenance.md

@@ -1,6 +1,4 @@
-:::image type="content" source="../media/network-technician.png" alt-text="Screenshot of a network technician." lightbox="../media/network-technician.png":::
-
-**What are the key aspects of datacenter maintenance?**
+## What are the key aspects of datacenter maintenance?
 
 - **Hardware maintenance:** 
 

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/4-key-aspects-datacenter-maintenance.md

@@ -1,5 +1,3 @@
-**What are reliability and resiliency in datacenters?**
-
 Reliability and resiliency are critical to datacenter operations, as they ensure consistent and uninterrupted delivery of services.
 
 - **Reliability:** Reliability refers to the ability of the datacenter to consistently perform its functions without failure. It focuses on ensuring that all systems operate correctly and deliver the expected outcomes over time.
@@ -22,7 +20,7 @@ Reliability and resiliency are critical to datacenter operations, as they ensure
 
     - Fault-tolerant infrastructure.
 
-**What are key concepts of reliability and resiliency in datacenters?**
+## What are key concepts of reliability and resiliency in datacenters? To Key concepts of reliability and resiliency
 
 Reliability and resiliency are critical to datacenter operations, as they ensure consistent and uninterrupted delivery of services.
 

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/6-reliability-resiliency-datacenters.md

@@ -1,7 +1,3 @@
-:::image type="content" source="../media/equipment-maintenance.png" alt-text="Screenshot of a person servicing equipment in a server room." lightbox="../media/equipment-maintenance.png":::
-
-**What is datacenter disaster recovery?** 
-
 **Disaster recovery (DR)** is a critical component of datacenter operations. It ensures that systems, applications, and data can be restored quickly and effectively after an unexpected disruption. DR is a structured approach to maintaining business continuity during and after events like natural disasters, hardware failures, or cyberattacks. Essentially, DR in Datacenters is a set of policies, tools, and procedures designed to quickly restore IT systems and data after a disruption or failure.
 
 **Disaster scenarios may include:** 
@@ -14,7 +10,7 @@
 
   - Hardware failures: Server crashes, power outages, or cooling system breakdowns.
 
-**What are the key concepts of disaster recovery?**
+## What are the key concepts of disaster recovery? To Key concepts of disaster recovery
 
 |                                    |                                                              |
 | ---------------------------------- | ------------------------------------------------------------ |

learn-pr/philanthropies/describe-best-practices-datacenter-operations/includes/7-disaster-recovery-datacenters.md

@@ -1,32 +1,28 @@
-:::image type="content" source="../media/network-diagnostic.png" alt-text="Screenshot of a person using a handheld network diagnostic device." lightbox="../media/network-diagnostic.png":::
-
-**What is low latency?** 
+## What is low latency?
 
 Low latency in datacenters refers to minimizing the delay in data transmission between systems, applications, and users. Low latency is crucial for industries and applications where speed and responsiveness are essential (e.g., financial trading, gaming, and real-time communications). Low latency ensures faster processing, improved user experiences, and enhanced performance, making it a key factor in delivering high-quality, time-sensitive services. 
 
-**What is latency?** 
+## What is latency?
 
 Latency is the delay between a request for data and the delivery of that data. It is typically measured in milliseconds (ms). 
 
-**What are the types of latency?** 
+## What are the types of latency?
 
 - Network latency: Time taken for data to travel across a network 
 
 - Processing latency: Time taken for servers or systems to process a request. 
 
 - Storage latency: Time taken to read/write data from storage devices
 
-**Why is low latency important?** 
+## Why is low latency important?
 
 - Enhanced user experience: Applications like video streaming, online gaming, and virtual reality require quick response times for seamless performance. Example: Slow latency in gaming can result in lag, negatively impacting gameplay. 
 
 - Critical business operations: In financial trading or healthcare, delays can lead to significant financial losses or even endanger lives. 
 
 - Support for real-time applications: Applications like IoT, autonomous vehicles, and real-time analytics depend on low latency for optimal functionality.
 
-**What are key factors influencing latency?**
-
-:::image type="content" source="../media/rack-maintenance.png" alt-text="Screenshot of a person working on a server rack." lightbox="../media/rack-maintenance.png":::
+## What are key factors influencing latency?
 
 | **Term**                    | **Issue**                                                    | **Solution**                                                 |
 | --------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
@@ -36,7 +32,7 @@ Latency is the delay between a request for data and the delivery of that data. I
 | **Storage systems**         | Older storage technologies (e.g., spinning hard drives) have higher  latency compared to modern alternatives like SSDs (solid state drives) or NVMe (Non-volatile memory express) drives. | Upgrade to faster storage technologies to reduce access times and improve overall data transfer speeds. |
 | **Congestion**              | High traffic can slow down data transfer rates.              | Load balancing and traffic prioritization.                   |
 
-**Techniques for achieving low latency in datacenters:**
+## Techniques for achieving low latency in datacenters
 
 - **Edge computing**: Moving processing closer to the end-user reduces network latency by minimizing the distance data has to travel. Example: Content delivery networks (CDNs) cache data closer to users.
 
@@ -54,15 +50,15 @@ Latency is the delay between a request for data and the delivery of that data. I
 
   - **Automation and AI**: AI-driven systems analyze and optimize data paths, reducing unnecessary delays.
 
-**How can we measure latency?**
+## How can we measure latency?
 
   - Ping time: Measures round-trip time for data packets.
 
   - Throughput: Amount of data successfully delivered over a connection in a given time.
 
   - Jitter: Variability in latency over time, which can disrupt real-time applications.
 
-**What sectors or services need low latency?**
+## What sectors or services need low latency?
 
   - Financial services: Stock trading platforms depend on microsecond-level latency to execute trades instantly.
 
@@ -74,7 +70,7 @@ Latency is the delay between a request for data and the delivery of that data. I
 
   - Internet of things (IoT): Devices like smart thermostats and industrial sensors require instant feedback.
 
-**What are the challenges to achieving low latency?**
+## What are the challenges to achieving low latency?
 
   - Global reach: Serving users across the world requires creative solutions like global edge datacenters and content delivery networks (CDNs).