Concepts
Azure Monitor provides a comprehensive solution for monitoring the performance and health of applications and services in Microsoft Azure. When designing and implementing native applications using Azure Cosmos DB, it is crucial to monitor the metrics for normalized throughput usage to ensure optimal performance and scalability. In this article, we will explore how Azure Monitor can help you monitor these metrics and make informed decisions.
Azure Cosmos DB and Normalized Throughput
Azure Cosmos DB is a globally distributed, multi-model database service designed to provide low latency, high throughput, and elastic scalability for modern applications. Normalized throughput represents the throughput a container or database gets relative to the provisioned throughput set for the underlying Cosmos DB account. It is normalized between 0 and 1, with 1 representing the full provisioned throughput.
Metric 1: Request Units (RU/s)
Request Units (RU/s) measure the amount of throughput consumed by various operations in Azure Cosmos DB, representing the cost of a given operation in terms of CPU, memory, I/O, and network resources. Monitoring the RU/s metric provides insights into the overall throughput usage of your applications.
To track RU/s, you can use Azure Monitor’s Metrics Explorer:
- Select your Azure Cosmos DB account.
- Navigate to Metrics.
- Choose the Request Units metric.
- Configure the time range, aggregation interval, and granularity to analyze the throughput usage.
Here’s an example of how you can retrieve the RU/s metric using Azure Monitor’s REST API:
Metric 2: Throughput (RU/s) by Collection
Azure Cosmos DB allows organizing data into collections, each with its own provisioned throughput. Monitoring the throughput usage by collection helps identify imbalances or bottlenecks.
To track throughput usage by collection:
- Enable diagnostic settings for your Azure Cosmos DB account.
- Configure the diagnostics settings to send metrics to Azure Monitor.
- Navigate to Log Analytics to view the throughput metrics.
Here’s an example of how you can retrieve the throughput by collection using Azure Monitor’s Log Analytics Query:
By monitoring the metrics for normalized throughput usage in Azure Cosmos DB with Azure Monitor, you gain insights into your applications’ performance and can make informed decisions for scaling and optimization. Whether adjusting provisioned throughput, optimizing queries, or fine-tuning application code, Azure Monitor’s data guides the decision-making process.
Note: Replace the placeholders ({subscriptionId}, {resourceGroupName}, {cosmosDbAccountName}, and {accessToken}) in the code examples with the appropriate values specific to your Azure environment.
In conclusion, monitoring the metrics for normalized throughput usage is crucial when designing and implementing native applications using Azure Cosmos DB. Azure Monitor offers robust tools and capabilities to track key metrics like Request Units and throughput by collection. By leveraging Azure Monitor, you ensure optimal performance and scalability for your applications built on Azure Cosmos DB.
Answer the Questions in Comment Section
Which metric can be used to monitor normalized throughput usage in Azure Monitor?
a) CPU usage
b) Memory usage
c) Network throughput
d) Request units per second (RU/s)
Correct answer: d) Request units per second (RU/s)
True or False: Azure Monitor provides real-time monitoring of normalized throughput usage in Azure Cosmos DB.
Correct answer: True
Which Azure Monitor feature allows you to visualize metrics in a graphical format?
a) Azure Log Analytics
b) Azure Application Insights
c) Azure Dashboard
d) Azure Metrics Explorer
Correct answer: d) Azure Metrics Explorer
Multiple select: Which of the following can you track using Azure Monitor for Cosmos DB?
a) Latency
b) Availability
c) Storage capacity
d) Query execution time
Correct answer: a) Latency, b) Availability, d) Query execution time
True or False: Azure Monitor provides built-in alerting capabilities for normalized throughput usage in Azure Cosmos DB.
Correct answer: True
What is the unit of measurement for normalized throughput usage in Azure Monitor?
a) Bytes
b) Operations per second
c) Gigabytes
d) Transactions per minute
Correct answer: b) Operations per second
Single select: Which Azure service integrates with Azure Monitor to provide a comprehensive monitoring solution for Cosmos DB?
a) Azure Virtual Machines
b) Azure Application Gateway
c) Azure Monitor for Containers
d) Azure Monitor for Azure Cosmos DB
Correct answer: d) Azure Monitor for Azure Cosmos DB
True or False: Azure Monitor allows you to set up custom alerts based on normalized throughput usage thresholds in Cosmos DB.
Correct answer: True
Single select: Which Azure Monitor component helps with analyzing and troubleshooting performance issues in Azure Cosmos DB?
a) Diagnostic logs
b) Log Analytics workspaces
c) Application Insights
d) Azure Metrics Explorer
Correct answer: a) Diagnostic logs
Single select: Which Azure Monitor capability provides centralized logging and analysis of metrics from multiple Azure resources?
a) Azure Alerts
b) Azure Application Insights
c) Azure Monitor Logs
d) Azure Metrics Explorer
Correct answer: c) Azure Monitor Logs
Great blog post! The explanations about monitoring normalized throughput usage using Azure Monitor were very insightful.
Does anyone have experience in integrating Azure Monitor with Cosmos DB for real-time monitoring?
Thank you for the thorough explanation. It really helped clarify some concepts for my DP-420 exam preparations.
I’m having trouble understanding the distinction between normalized throughput and request units. Can someone clarify?
Helpful post. Implemented the suggestions for monitoring, and it made a significant impact on our resource management!
Can someone explain how to set custom alerts for throughput in Azure Monitor?
I think the blog post missed discussing some advanced alerting capabilities of Azure Monitor. Any thoughts?
Great read! It’s crucial to monitor throughput to avoid any performance bottlenecks.