Results for “google”

Integrates Google Mobile Ads rewarded ads into Android or iOS apps, guiding through loading, callbacks, opt-in UI, and verification.

Installs and configures the official Google Ads MCP Server to connect AI assistants to Google Ads accounts for querying campaigns and retrieving reporting metrics using natural language.

Evaluates Google Cloud workloads against the Sustainability pillar of the Well-Architected Framework, providing actionable recommendations to minimize environmental impact.

Integrates Google Mobile Ads SDK interstitial ads into Android and iOS mobile applications, guiding placement at natural app transition points.

Migrates Android apps from the legacy Google Mobile Ads SDK to the Next-Gen SDK with import, class, and method mapping tables.

Deploy and manage Cloud Run services, jobs, and worker pools on Google Cloud.

Guides authentication and authorization to Google Cloud services, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

Deploys a secure, enterprise-grade Google Cloud landing zone foundation with organization policies, resource hierarchy, billing association, and centralized logging and monitoring.

Containerizes applications and deploys them to Google Kubernetes Engine (GKE) with Dockerfiles, manifests, and best practices.

Upload offline conversions, enhanced conversions for leads, click conversions, and Google Analytics events using the Data Manager API /v1/events/ingest endpoint.

Sets up Google's agents-cli toolkit and guides through the full agent development lifecycle: scaffold, build, evaluate, deploy, publish, and monitor on Gemini Enterprise Agent Platform.

Evaluates Google Cloud workloads against the Performance Optimization pillar of the Well-Architected Framework, providing actionable recommendations for resource allocation, modular design, elasticity, and monitoring.

Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics, including VPC Flow Logs, NAT, firewall, threat logs, latency, throughput, and Connectivity Tests.

Routes to specialized GKE sub-skills for cluster management, networking, security, scaling, and more on Google Kubernetes Engine.

Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a 'retrieve campaigns' script. Troubleshoots common setup errors.

Generates operations-focused guidance for Google Cloud workloads based on the Operational Excellence pillar of the Well-Architected Framework, including assessment questions and validation checklists.

Evaluates Google Cloud workloads against the Cost Optimization pillar of the Well-Architected Framework, identifies cost requirements and constraints, and provides actionable recommendations for building, deploying, and managing workloads cost-efficiently.

Creates, lists, retrieves, versions, and deletes managed prompts in Google Cloud Agent Platform using the Python SDK.

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.

Evaluates Google Cloud workloads against the Well-Architected Framework security pillar, identifies security requirements, and provides actionable recommendations for IAM, network security, data protection, and operational security.

Interacts with Google Cloud services using the gcloud CLI safely and efficiently, with command validation, data reduction, safety guardrails, and workflows for discovery and investigation.

Fetches IAM recommendations and security insights from Google Cloud for a specified organization, folder, or project, using MCP tools, gcloud CLI, or direct API calls.

Uploads audience members to Google products like Customer Match and mobile device ID audiences using the Data Manager API.

Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.

Configures dynamic threshold alerting policies for Google Cloud Vertex AI Agent Platform agents, monitoring latency, error rates, and quality metrics using Terraform and PromQL.

Manages AlloyDB for PostgreSQL clusters, instances, and backups using gcloud CLI commands.

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.

Generates DESIGN.md files for Google Stitch that encode premium, anti-generic UI standards with strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.