Cloud Logging and Monitoring Tools (CloudWatch, Stackdriver) Questions and Answers for Viva

Answer-1: AWS CloudWatch is a monitoring and observability service that provides data and actionable insights for AWS resources and applications.

Answer-2: Google Stackdriver (now called Cloud Operations suite) is a monitoring,logging,and diagnostics tool for Google Cloud and AWS.

Answer-3: CloudWatch collects metrics,logs,and events from AWS resources and applications.

Answer-4: Yes,Stackdriver supports monitoring and logging for select AWS services.

Answer-5: A metric represents a time-ordered set of data points,like CPU utilization or request count.

Answer-6: Custom metrics are user-defined data points that can be pushed into CloudWatch from applications.

Answer-7: Logs are collected using the Cloud Logging API and agents that run on VM instances.

Answer-8: CloudWatch Alarms monitor CloudWatch metrics and trigger actions when thresholds are crossed.

Answer-9: You can export logs to BigQuery,Cloud Storage,or Pub/Sub using sink configurations.

Answer-10: It is a customizable home page in the AWS Management Console that displays metrics and alarms.

Answer-11: Yes,Stackdriver can monitor on-prem resources using agents and APIs.

Answer-12: A log group is a collection of log streams that share the same retention,monitoring,and access settings.

Answer-13: It allows you to check the availability of applications and services from different locations.

Answer-14: Yes,using subscription filters,CloudWatch Logs can invoke Lambda functions.

Answer-15: It provides container-level metrics,logs,and traces via Kubernetes Engine integration.

Answer-16: By default,log data is retained indefinitely unless a retention policy is set.

Answer-17: They are custom metrics derived from specific log patterns for advanced monitoring.

Answer-18: Metric filters extract metric data from log events in CloudWatch Logs.

Answer-19: It captures admin activity and data access logs to help with compliance and security.

Answer-20: It is a sequence of log events from the same source over time.

Answer-21: Yes,Stackdriver Debugger allows inspection of applications without stopping them.

Answer-22: It uses machine learning to automatically detect abnormal metric patterns.

Answer-23: You can enable billing metrics and set alarms on spending thresholds.

Answer-24: Agents collect system metrics and logs from VMs and send them to Cloud Logging and Monitoring.

Answer-25: Composite alarms combine multiple alarms into a single evaluation using logical conditions.

Answer-26: Use the Log Viewer in Google Cloud Console to stream and filter logs in real-time.

Answer-27: Yes,CloudWatch can monitor on-prem and hybrid setups using custom scripts or agents.

Answer-28: CloudWatch and Stackdriver support SDKs in Python,Java,Go,Node.js,and others.

Answer-29: It helps visualize latency and performance bottlenecks in distributed applications.

Answer-30: Events track changes in AWS resources,while Logs store detailed application/system data.

Answer-31: Monitoring provides metrics and alerts; Logging captures system and application logs.

Answer-32: Use IAM policies,KMS encryption,and VPC endpoints for secure access and storage.

Answer-33: Resource groups are collections of AWS resources that can be monitored together.

Answer-34: Sinks define how and where log entries are exported (e.g.,BigQuery,Cloud Storage).

Answer-35: Pricing is based on metrics collected,custom metrics,dashboards,and log ingestion/storage.

Answer-36: Yes,exported logs in BigQuery (Stackdriver) can be queried using standard SQL.

Answer-37: Alerts can be sent via email,SMS,Slack,or webhooks.

Answer-38: It is a query language used to analyze structured log data in CloudWatch Logs.

Answer-39: Yes,CloudWatch Container Insights provides metrics and logs for ECS and EKS workloads.

Answer-40: You define conditions,notification channels,and documentation in the alerting configuration.

Answer-41: It is the target where logs are exported (e.g.,BigQuery table,GCS bucket).

Answer-42: Labels are key-value pairs used to organize and filter metrics.

Answer-43: Yes,Stackdriver alerts can trigger PagerDuty incidents via webhooks.

Answer-44: IAM controls access to logs and metrics at various resource and user levels.

Answer-45: Log entries are categorized by severity levels like DEBUG,INFO,WARNING,ERROR.

Answer-46: Yes,using filter patterns and search expressions in the Logs interface.

Answer-47: Through metric thresholds,trend analysis,and intelligent alerting.

Answer-48: It?s the process of tracking a request as it flows through multiple services or components.

Answer-49: SLIs are specific metrics that measure service performance (e.g.,latency,error rate).

Answer-50: Using end-to-end tracing,real-time metrics,logs,and dashboards with tools like CloudWatch and Stackdriver.