DevOps & Cloud
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Google Cloud Platform

Google Cloud Platform (GCP) offers best-in-class AI/ML services (Vertex AI, BigQuery), global network infrastructure, and managed Kubernetes (GKE) with deep open-source integration.

Relevant to My Experience

How this topic connects to real projects and companies

Experience

Multi-cloud implementation including GCP

Related Projects

1Key GCP Services

    Compute
  • Compute Engine VMs on Google's infrastructure
  • Google Kubernetes Engine (GKE) best managed K8s, Autopilot mode
  • Cloud Run fully managed containers, scales to zero
  • App Engine PaaS platform, standard and flexible environments
  • Cloud Functions event-driven serverless functions
    Data & Analytics
  • BigQuery serverless, petabyte-scale SQL analytics. Query 1TB in seconds.
  • Pub/Sub global messaging (like Kafka as a service)
  • Dataflow managed Apache Beam for batch and streaming pipelines
  • Looker BI and data visualization platform
    AI & ML
  • Vertex AI unified ML platform: train, deploy, and monitor models
  • Gemini API Google's frontier LLM
  • Vision AI, Speech-to-Text, Translation API pre-built AI APIs
  • Document AI extract structured data from documents
    Storage & Databases
  • Cloud Storage object storage (like S3)
  • Cloud SQL managed PostgreSQL, MySQL, SQL Server
  • Cloud Spanner globally distributed relational DB (unlimited scale)
  • Firestore serverless document database (like DynamoDB)
  • Bigtable managed HBase, time-series at massive scale

2BigQuery & Cloud Run

sql
-- BigQuery: analyze massive datasets with standard SQL
SELECT
  DATE_TRUNC(order_date, MONTH) AS month,
  SUM(total_amount) AS revenue,
  COUNT(DISTINCT customer_id) AS customers,
  AVG(total_amount) AS avg_order
FROM `my-project.sales.orders`
WHERE order_date BETWEEN '2024-01-01' AND '2024-12-31'
  AND status = 'completed'
GROUP BY 1
ORDER BY 1;

-- Query public datasets (free) SELECT word, SUM(word_count) AS count FROM bigquery-public-data.samples.shakespeare GROUP BY word ORDER BY count DESC LIMIT 10; ```

yaml
# Cloud Run service (serverless containers)
# Deploy: gcloud run deploy my-api --source . --region us-central1

# cloudbuild.yaml steps: - name: 'gcr.io/cloud-builders/docker' args: ['build', '-t', 'gcr.io/$PROJECT_ID/my-api:$COMMIT_SHA', '.'] - name: 'gcr.io/cloud-builders/docker' args: ['push', 'gcr.io/$PROJECT_ID/my-api:$COMMIT_SHA'] - name: 'gcr.io/google.com/cloudsdktool/cloud-sdk' args: ['run', 'deploy', 'my-api', '--image', 'gcr.io/$PROJECT_ID/my-api:$COMMIT_SHA', '--region', 'us-central1', '--platform', 'managed'] ```

Explore the Full Portfolio

This is the complete portfolio of Sufi Khan Sulaiman, a technology leader specialising in B2B commerce and digital automation. Start from the Home page for the overview, then move through two decades of career experience across FLIR Systems, Lorex Technology, and 1c Platform, and the full catalogue of project case studies spanning headless commerce migrations, AI recommendation engines, and multi-channel fulfilment systems.

The skills and certifications page maps the technical and leadership capabilities behind the work, while the articles and the knowledge base break down the thinking into actionable frameworks. For hands-on learning, the tutorials and applications sections cover practical builds from front-end fundamentals to full-stack web apps.

For consulting engagement, the expertise page outlines service offerings, the ecommerce hub covers platform architecture and automation strategy, and the ecommerce guide (PDF) is a downloadable 55-page field manual. When you are ready to talk, the contact page is the direct line.