Tagged gcp

Cut cloud spend across AWS, Azure, GCP and OCI through rightsizing and tagging

Design multi-cloud systems across AWS, Azure, GCP and OCI to avoid lock-in

Build reusable Terraform modules for AWS, Azure, GCP and OCI infrastructure

Audit AWS, Azure and GCP accounts against CIS benchmarks using Prowler and ScoutSuite

Audit GCP IAM for broad roles, service account key sprawl and cross-project access

Contain and investigate incidents in AWS, Azure and GCP using cloud-native audit logs

Run authorized penetration tests against AWS, Azure and GCP with Pacu and ScoutSuite

Configure Google Cloud IAP with gcloud for per-request identity checks on apps

Deploy canary IAM keys, decoy buckets and honey resources across AWS, Azure and GCP

Find and classify PII in cloud storage with Macie, Purview and Google Cloud DLP

Find cloud misconfigurations and vulnerabilities across AWS, Azure and GCP with CSPM scans

Allow only signed, attested container images to deploy to GKE and Cloud Run

Enforce GCP org policy guardrails like external IP and service account key limits

Audit and tighten GCP VPC firewall rules and hierarchical policies with flow logs

Apply NIST SP 800-207 zero trust across AWS, Azure and GCP with identity-centric access

Load AWS, GCP and Azure assets into Neo4j with Cartography to map IAM and trust paths

Snapshot cloud volumes and preserve native logs for AWS, Azure and GCP breach cases

Revoke compromised cloud credentials and isolate resources in AWS, Azure and GCP

Find public GCP buckets with GCPBucketBrute and map IAM escalation paths with gcloud

Audit GCP IAM, firewall and storage against CIS benchmarks with Forseti and SCC

Manage AlloyDB clusters, instances, backups and vector search on Google Cloud

Work across AWS, Azure, GCP, Kubernetes and Terraform for CI/CD and monitoring

Build serverless GCP apps on Cloud Run and Cloud Functions with Pub/Sub events

Set up Google Cloud auth with Application Default Credentials and service identities

Investigate Google Cloud network issues with flow logs, metrics and connectivity tests

Walk through first steps on Google Cloud, from billing and projects to first deploy

Find cost savings in Google Cloud workloads using Well-Architected guidance

Assess Google Cloud workloads for reliability gaps using Well-Architected guidance

Review Google Cloud workloads for IAM, network and data protection gaps using WAF

Design GCP architectures on Cloud Run, GKE and BigQuery with cost controls

Set up secrets management with Vault, AWS, Azure and GCP secret stores

Move Gemini API apps from AI Studio to Google Cloud Agent Platform

Add API keys, JWT auth and rate limits to backends behind Google Cloud API Gateway

Expose REST APIs as MCP tools through Google Cloud API Gateway over HTTP

Design, validate and deploy GCP infrastructure templates with Terraform in ADC

Assess Google Cloud workloads against sovereign data boundary and compliance frameworks

Pick and create the right Google Cloud database for your workload

Find the right Cloud Monitoring metric types for a Google Cloud service or resource

Write high-signal Terraform alert policies for Cloud Run error rates and latency

Deploy and manage Cloud Run services, scheduled jobs and worker pools

Choose Google Cloud services for compute, databases, storage and AI

Validate and guard gcloud CLI commands before running them on Google Cloud

Call the Gemini API on Google Cloud with the Gen AI SDK in several languages

Create, test and deploy ADK agents on Google Cloud with agents-cli

Audit Filestore instances for backups, NFS export rules and zone isolation

Monitor Filestore capacity and autoscale instance shares up or down

Troubleshoot Filestore NFS mount failures, EACCES errors and timeouts

Browse and read Filestore NFS files and metadata without mounting the share

Design global Application Load Balancers with Cloud CDN and Cloud Armor