Cloud Quotas API usage

[DarwinVinoth]

What is the primary purpose of Cloud Quotas? I'm a bit confused about its role in GCP monitoring. It seems that the same level of data can be obtained during service runtime.

Could you please help clarify the key difference between the Cloud Quotas API and service runtime usage?

Thanks,
Darwin. 

[JuatonCJ · Accepted solution]

Hi @DarwinVinoth, 

Welcome to Google Cloud Community!

The primary purpose of Cloud Quotas in GCP isn't directly about monitoring resource usage in real-time; it's about setting limits and controlling resource consumption. While you can observe usage data during service runtime through various monitoring tools (like Cloud Monitoring), quotas are about proactively preventing unwanted or unexpected resource exhaustion.

Cloud Quotas focus on enforcing predefined limits and ensuring resource availability, while runtime usage focuses on monitoring operational metrics for debugging and optimization. Both are complementary, helping you manage and optimize GCP resources effectively.

• Service runtime usage refers to the resources consumed by a service while it's actively running. This includes a variety of metrics depending on the type of service and its environment. Here's a breakdown:
• Cloud Quotas API:  allows you to set limits on how much of a resource you can use. It's proactive; you define limits before usage occurs to prevent exceeding your budget or causing service disruptions. The API also allows you to view your current quota usage, request quota increases, and see which projects and services consume the most resources within your organization. It acts as a control mechanism.

For further reference on GCP quotas please review the following documentations:

• Managing Service Quota
• View and manage quotas
• Cloud Quotas API
• Cloud Quotas overview 

I hope the above information is helpful.

[JuatonCJ · Accepted solution]

Hi @DarwinVinoth, 

Welcome to Google Cloud Community!

The primary purpose of Cloud Quotas in GCP isn't directly about monitoring resource usage in real-time; it's about setting limits and controlling resource consumption. While you can observe usage data during service runtime through various monitoring tools (like Cloud Monitoring), quotas are about proactively preventing unwanted or unexpected resource exhaustion.

Cloud Quotas focus on enforcing predefined limits and ensuring resource availability, while runtime usage focuses on monitoring operational metrics for debugging and optimization. Both are complementary, helping you manage and optimize GCP resources effectively.

• Service runtime usage refers to the resources consumed by a service while it's actively running. This includes a variety of metrics depending on the type of service and its environment. Here's a breakdown:
• Cloud Quotas API:  allows you to set limits on how much of a resource you can use. It's proactive; you define limits before usage occurs to prevent exceeding your budget or causing service disruptions. The API also allows you to view your current quota usage, request quota increases, and see which projects and services consume the most resources within your organization. It acts as a control mechanism.

For further reference on GCP quotas please review the following documentations:

• Managing Service Quota
• View and manage quotas
• Cloud Quotas API
• Cloud Quotas overview 

I hope the above information is helpful.

[DarwinVinoth · Accepted solution]

@JuatonCJ 

My main concern is using the API to retrieve quota-related information. While the documentation suggests that the Quota API is straightforward, I am actually facing frequent API failures for certain service types like Cloud Run. Additionally, I couldn’t find proper documentation for retrieving the quota ID details. Even though I tried using Google Cloud’s quota solutions with the SDK, I was unable to set up the SDK in my environment.

API failure mostly happened due to the Quota Id. Mia-match. I don’t see any documentation or API to get the list of quota ids for a service types. Please help me on that.