Google Cloud Platform (GCP) Questions & Answers

In light of recent, multi-regional connectivity disruptions, such as the July 2024 issue impacting Google Cloud Networking, runbooks for Google Cloud Platform (GCP) must shift from reactive, single-failure responses toward proactive detection and multi-layered, hybrid failover strategies. A passive approach assuming regional isolation is no longer sufficient.

To proactively spot latency spikes on Google Cloud before customers do, SREs should use a multi-layered approach, creating custom dashboards in Cloud Monitoring that combine platform-wide network intelligence with deep, service-specific metrics. Early warnings can come from either a degradation of the underlying network or from saturation in a specific application service.

• Layer 1: Network Intelligence Center

The Google Cloud Performance Dashboard provides a high-level view of network health. It's the first place to look for signs of a broader network issue, which can often precede application-level problems. 

• Layer 2: Application-layer observability

Custom dashboards in Cloud Monitoring should be configured to capture fine-grained metrics for your specific workloads. This provides early warnings of application-level saturation that can cause user-facing latency.

• Layer 3: Tracing and logging

For deeper analysis during an incident, integrate and analyze data from Cloud Trace and Cloud Logging.

Following recent incidents affecting cloud providers, including Google Cloud (GCP) networking issues, disaster recovery (DR) testing for critical GCP services must evolve to simulate complex, multi-layered failures. Testing should focus on validating cross-regional failover, application resilience during partial degradation, and hybrid cloud strategies, moving beyond simple single-zone outage scenarios.

• Validate cross-regional failover (Game Day)
• Verify application behavior during partial degradation
• Conduct multi-cloud or hybrid failover testing
• Practice communication and documentation

For Google Cloud, protecting workloads from regional cable cuts relies on a combination of multi-regional load balancing and intelligent DNS routing policies. By distributing resources and leveraging Google's global network, workloads can automatically shift traffic away from an affected region with minimal disruption.

To get a detailed list of the containers of Google Cloud Console, follow the steps given below:

• Open cloud storage bucket page
• Tap on the name of bucket you wish to view
• Use the process of Filtering and Sorting to organize your element in the list
• The Bucket details page opens, with the Objects tab selected.

Cloud IDS gives network threat detection warnings at every threat severity level: Critical, High, Medium, Low, and informational data which will help you prioritize the most major threats.

 Google Cloud provides a broad range of IaaS, PaaS, SaaS, and CaaS solutions. According to your preference, you can create a cloud environment that meets your requirements.

To manage costs for a new product on Google Cloud, you can start by setting up a budget, using cost optimization tools, implementing resources, billing management, and using monitoring and logging.

Google Kubernetes Engine is a powerful cluster manager orchestration system. It gives you the flexibility to take advantage of on-premises, hybrid, or public cloud infrastructure.

Apigee Edge is the right Google Cloud service to choose for business analytics and billing on a customer-facing API. Apigee Edge is a full lifecycle API management platform that enables businesses to secure, scale, manage, and analyze their APIs. You can use Apigee Edge to create APIs that are easy to use and manage, and that can be integrated with other systems