Data platforms on BigQuery, AI with Vertex AI and Gemini, and apps on Cloud Run and GKE — designed, built and run by engineers who care about speed, security and cost.
TECHTARN provides Google Cloud consulting and development for startups and enterprises in the USA, UK, UAE, India, Canada, Australia and Singapore. Our GCP engineers build data platforms on BigQuery, AI solutions with Vertex AI and Gemini, and scalable apps on Cloud Run and GKE.
We write data pipelines in Python, run containers with our Kubernetes team, back Flutter apps with Firebase, and connect GA4 for marketing analytics. All delivered through our cloud & DevOps practice. Multi-cloud? See AWS and Azure.
A modern data platform on Google Cloud moves data through five stages, from the moment it arrives to the moment it changes a decision. Tap a segment to see what happens there.
1. IngestPub/Sub, Datastream and Transfer Service bring data in, in real time or batches.
2. StoreCloud Storage and BigQuery keep raw and modelled data safely.
3. ProcessDataflow, Dataproc and dbt clean and transform it.
4. AnalyseBigQuery SQL and Looker turn data into answers.
5. ActivateVertex AI and APIs put insights and predictions into your apps.
Google Cloud runs code in many ways, from full virtual machines to tiny functions. Slide to see each option.
Virtual machines with full control of the operating system. Best for lift-and-shift and special software.
Managed Kubernetes for many services, with autoscaling and Autopilot mode.
Run any container, scale to zero, pay per use. Our default for new web apps and APIs.
Small pieces of code triggered by events, such as uploads or messages.
Vertex AI gives access to Gemini and other models, plus tools to ground answers in your documents and databases, evaluate quality and deploy safely. We build assistants, document processing, search, forecasting and recommendations that run inside your Google Cloud project.
Your data stays under your controls. See our Gemini page for more on Google's models.
BigQuery on-demand pricing charges by data scanned. Partitioning a table by date means a query reads only the days it needs. Enter your numbers.
Assumes data is spread evenly across days and the query filters on the partition date. Check current BigQuery pricing for your region.
Five steps, each building on the last.
From data and AI to apps, migration and support.
Data warehouses, pipelines and dashboards with BigQuery, Dataflow and Looker.
AI assistants, document processing and custom models on your data.
Containerised web apps and APIs that scale to zero.
Managed Kubernetes clusters with GitOps and observability.
Auth, Firestore, hosting and messaging for mobile and web apps.
VMs, databases and apps moved with minimal downtime.
Organisation policies, IAM, VPC Service Controls and logging.
Committed use discounts, rightsizing and BigQuery cost control.
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Tell us about your workloads, goals and current setup. We'll send a free cloud review and next steps — we reply within 4 business hours.