AI Skills for GCP

Enables secure, high-performance connectivity between on-premises infrastructure and cloud platforms for hybrid cloud architectures.

Designs multi-cloud architectures to optimize service selection and integration across AWS, Azure, and GCP, avoiding vendor lock-in.

Creates reusable Terraform modules for AWS, Azure, and GCP, promoting infrastructure-as-code best practices for cloud provisioning.

Optimizes cloud costs through strategies like resource rightsizing and tagging, ensuring efficient spending across AWS, Azure, and GCP.

Facilitates multi-cloud orchestration for ML workloads, optimizing costs and managing resources across various cloud providers.

Instantly provision production-ready PostgreSQL databases with Neon Instagres for seamless development and integration.

Automates startup processes by orchestrating specialized agents across various domains, enabling zero human intervention from PRD to deployment.

Automates code reviews for multiple programming languages, ensuring quality and security through analysis, best practices, and reporting.

Specializes in CI/CD pipelines and GitOps workflows, enabling advanced deployment automation and zero-downtime releases.

Provides expert architectural reviews and guidance for scalable, maintainable software systems using modern architecture patterns.

Conducts comprehensive security assessments of cloud infrastructures across Azure, AWS, and GCP, identifying vulnerabilities and misconfigurations.

Expert cloud architect specializing in multi-cloud infrastructure design, IaC, and cost optimization for scalable and secure systems.

Specializes in Kubernetes architecture, GitOps workflows, and enterprise container orchestration for scalable cloud-native solutions.

Automates CI/CD workflows and GitHub Actions to enhance development processes, ensuring efficiency and reliability in deployment.

Provides strategies for optimizing cloud costs through resource rightsizing, tagging, and pricing models across major cloud platforms.

Enables the development of serverless applications on GCP, focusing on Cloud Run services and event-driven functions.

Expert hybrid cloud architect specializing in multi-cloud solutions across AWS, Azure, GCP, and private clouds like OpenStack and VMware.

Enables secure, high-performance connectivity between on-premises infrastructure and cloud platforms for hybrid cloud architectures.

Specializes in building scalable ML infrastructure and automation pipelines using modern MLOps tools like MLflow and Kubeflow.

Designs multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.