Agentic Unconference 2026 - September 19, Chennai
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Our Google Cloud development services build apps on Cloud Run and GKE, data platforms on BigQuery, and AI features on Gemini and Vertex AI. Senior engineers design the architecture, so your data stops sitting in silos and starts feeding products people use.
Google Cloud development services cover the design, build, migration and operation of software on Google Cloud Platform (GCP). That means apps on Cloud Run and GKE, data platforms on BigQuery, and AI features on Gemini and Vertex AI. It also covers the CI/CD, identity and cost controls that keep them running.
✓ Analytics is the product, or close to it. BigQuery runs SQL over terabytes with no clusters to size or tune, and bills for data scanned or slots reserved. Your team spends time on questions instead of warehouse capacity.
✓ You want Gemini in your apps, close to your data. Vertex AI serves Gemini models next to BigQuery and Cloud Storage, so grounding does not mean copying data to another vendor. Agent Development Kit gives you an open framework for agents.
✓ Your services run in containers, or should. Kubernetes started at Google, and GKE Autopilot handles nodes, scaling and patching for you. Cloud Run goes further and scales containers to zero between requests.
✓ Your company already runs on Google Workspace. Identity, groups and admin policies carry over through Cloud Identity. Connected Sheets and Looker let analysts query BigQuery from tools they already use.
> Your estate is Windows, .NET Framework and SQL Server. License reuse, Entra ID and Microsoft support make Azure the simpler and usually cheaper home. Our dedicated Azure developers can scope that path.
> Your workload depends on a niche service or region. If you rely on a managed service Google does not offer, a region only AWS serves, or AWS Marketplace contracts, AWS usually fits better. Our dedicated AWS developers work there.
> You need a simple site or one small internal app. A brochure site or a five-screen tool doesn't need projects, VPCs and IAM bindings. Firebase Hosting or a managed host like Vercel will cost less and ship sooner.
Application development services in GCP for web, mobile and SaaS products. We run APIs on Cloud Run and keep data in AlloyDB or Firestore. Identity Platform handles sign-in, and Terraform defines every project from sprint one.
Our enterprise cloud solutions team starts with a dependency map, not a lift-and-shift quote. VMs move with Migrate to Virtual Machines, databases through Database Migration Service, and monoliths split into Cloud Run services one piece at a time.
GCP cloud development for containerized systems. GKE Autopilot runs long-lived services without node management, Cloud Run scales request-driven work to zero, and Pub/Sub decouples the two. We plan retries and dead-letter topics before the first deploy.
Our data engineering and analytics team lands ERP, SaaS and event data in BigQuery through Dataflow and Datastream. Dataform models it, Looker serves it, and Apigee fronts the APIs other systems call.
Our DevOps and quality engineering team ships through Cloud Build and Cloud Deploy, or GitHub Actions if that's your standard. Playwright covers the UI layer. After launch we watch Cloud Monitoring, tune committed use discounts and own the alerts.
Google Cloud AI software development inside the apps you already run. We ground Gemini on Vertex AI in your documents and BigQuery tables, then test answers before release. Production agents use Agent Development Kit, part of our agentic AI integration work.
70%
Automated 70% of the migration using AI conversion engines
Built an AI-powered conversion engine that parsed Tableau XML and used Gemini AI to translate Tableau formulas into DAX measures, with Microsoft Fabric as the target.
50%
reduction in query time, from minutes to milliseconds
Unified ERP and PoS data on AWS, with an Amazon S3 data lake, Redshift for analytics, EMR for semi-structured data and Athena for serverless queries.
100%
removal of expensive Oracle licensing and on-premise hardware costs
Moved a 50TB on-premise Oracle estate to Amazon Aurora and RDS using AWS SCT and DMS, with HIPAA-compliant encryption, audit logging and zero downtime at cutover.
Get a 20-minute technical read from a senior engineer. No pitch deck, no sales team.
Use Cloud Run for stateless, request-driven services and GKE for workloads that need long-running processes, custom networking or Kubernetes tooling. Cloud Run bills per request and scales to zero, so an idle service costs almost nothing. GKE Autopilot removes node management but still gives you the full Kubernetes API, sidecars and operators. Many teams start on Cloud Run and move a service to GKE only when it outgrows it.
Google Cloud bills by usage, so your design choices move the bill more than list prices do. Sustained use discounts apply automatically to many Compute Engine machine types, and committed use discounts cut steady compute further. For BigQuery, pick on-demand pricing or reserved slots, and partition tables so each query scans less. Budgets plus billing export to BigQuery show cost by team before the invoice arrives.
Rehosting a handful of VMs can take weeks, while moving a data warehouse to BigQuery usually runs a few months. Three things set the pace: data volume, the number of upstream feeds, and how much logic lives in stored procedures or ETL jobs. BigQuery Migration Service translates SQL from Teradata, Redshift, Snowflake and other warehouses, which shortens the rewrite. Moving one pilot workload first gives you a real baseline.
No, Google states that it does not use your Vertex AI prompts, outputs or data to train its models without your permission. Grounding against BigQuery or Cloud Storage keeps the data inside your project. VPC Service Controls can fence those services off from the public internet. You can add customer-managed encryption keys and regional data residency on top.
Google secures the infrastructure, and your development partner secures everything built on it: IAM roles, network design, encryption keys, data access and application code. A good GCP development service sets up the organization, folders and policies before the first workload lands. Google signs a HIPAA Business Associate Agreement for covered services, but the configuration that makes an app compliant is still your side. Entrans holds ISO 27001:2022 and SOC 2 Type II certifications.
Tell us the shape of the problem. A senior engineer reads it and replies. You won't get a templated capability deck.
