Overview of fw-policy testing
mainfw-policy project is a specialized tool used to test firewall security policies. It is designed to validate policies that are organized within a folder hierarchy.repository·main·Indexed 43 days ago
https://github.com/googlecloudplatform/gcpdiagA command-line diagnostic tool maintained by the Google Cloud Support team to help GCP customers identify and fix common configuration issues and best practice violations. It features a `lint` subcommand for project-wide inspections and a `runbook` subcommand for executing specific diagnostic steps or YAML-defined bundles.
fw-policy project is a specialized tool used to test firewall security policies. It is designed to validate policies that are organized within a folder hierarchy.The vpc/WARN/2022_001 rule is a diagnostic check used to monitor project-level quotas for VPC-related resources. It identifies if your current resource usage is approaching the configured quota threshold.
Behavior:
WARN (indicates a potential issue that requires attention but is not a hard failure).The gke/Monitoring Configuration End step is a terminal step (type END) in the GKE Monitoring diagnostic runbook. Its primary purpose is to finalize the diagnostic process by interacting with the user regarding the Root Cause Analysis (RCA) results.
When this step is reached, it performs the following:
dataproc/Spark Job End is a specialized END type step within a gcpdiag runbook. Its primary purpose is to aggregate and report any failed steps encountered during the execution of the Dataproc diagnostic runbook to the user. It serves as the final reporting phase for Spark job diagnostics.Tests (lint rules and runbooks) are organized by Product, Class, and ID.
Classes:
BP: Best practice (opinionated recommendations).WARN: Warnings (potential issues).ERR: Errors (likely incorrect configurations).SEC: Security issues.ID Format: YYYY_NNN (e.g., 2021_001), where YYYY is the year written and NNN is a unique counter for that product/class combination.
When you modify the default route in a Google Cloud VPC, you should add explicit routes for Google API destination IP ranges. This ensures that traffic destined for Google APIs follows the intended path and is not inadvertently misrouted by changes to the default route.
Note: This rule does not account for tagged routes or shadowed default routes. To ensure connectivity is correctly configured, validate your routing setup using a Connectivity Test.
The Number Of Terminations step is a GATEWAY type step used during Compute Engine (GCE) investigations. It acts as a decision point to determine the scope of the investigation: whether to focus on a single VM termination or multiple terminations.
It makes this determination by evaluating the operational parameters provided to the diagnostic run, specifically checking if the investigation scope is limited to a single virtual machine (VM).
gcpdiag Dataproc runbook, the Cluster Creation End step is a terminal END type step. Its primary purpose is to aggregate and report all failed steps encountered during the diagnostic runbook execution to the user, providing a summary of where the Dataproc cluster creation process failed.gcpdiag functions as a linter for Google Cloud Platform, where each lint rule verifies a specific aspect of a GCP project. The architecture is built on three main pillars:
run_rule() method to perform checks.Data flows from the user's Context through Queries Modules (which return Resource objects) into the Rule Modules, which then report findings via a LintReportRuleInterface object.
gcpdiag optimizes execution using caching (ensuring the same query is never executed twice) and parallel execution.
prepare_rule: Called serially in the main thread for all rules. Used for early-stage tasks like log query definition.prefetch_rule functions in parallel.run_rule: The main thread executes run_rule functions (sorted alphabetically) synchronously.Note: The rule scheduler ensures that any required prefetch_rule or logging data is completed before the corresponding run_rule begins.
The crm/Org Policy Check is an automated diagnostic step used to verify if a specific Google Cloud organization policy is effectively applied to a project.
Limitations: