Cloud-native application development on Google Cloud
We build your web app, API or SaaS product on Google's managed services, so there's less to maintain.
Google Cloud application development company
Apps and data on Google Cloud that actually tell you something.
Most businesses have plenty of data sitting around unused. We build your apps on Google Cloud and hook them up to BigQuery and Vertex AI, so you can see what's selling and what's about to run out.
Cloud Run · GKE · Compute Engine
BigQuery · Dataflow · Pub/Sub
Vertex AI · Cloud Build
asia-south1 · mumbai
Streaming
App + POS
Pub/Sub
Dataflow
BigQuery
Orders today by city
- Lucknow 1,240
- Kanpur 910
- Noida 725
- Agra 418
Vertex AI
Stock-out risk: 6 SKUs
Cloud Run API
3 instances · healthy
Sample data · not a client build
Data first
BigQuery and analytics built in, not bolted on
AI-ready
Vertex AI models trained on your own data
Indian regions
Mumbai and Delhi
Your project
Billing and access stay with you
Google Cloud consulting services
What we build as a GCP development company
Need an app, a database, a data warehouse or an AI model on Google Cloud Platform? We can do one of them or all of them.
Cloud Run development company
Your app in a container on Cloud Run. Scales up with traffic, down to zero when idle.
Google Kubernetes Engine (GKE)
For systems with many services. Clusters with autoscaling and safe rolling updates.
Compute Engine VM setup and migration
Full VMs for software that needs them. Right-sized, moved from your servers, kept patched.
Cloud SQL database setup and migration
Cloud SQL for MySQL, PostgreSQL or SQL Server. Backups every day, a standby in another zone, and live sync if you're moving an old database.
BigQuery analytics and reporting development
Excel reports that took a day now take seconds, shown in Looker Studio.
BigQuery development and data warehouse implementation services
One BigQuery warehouse for sales, ERP, CRM and app data. Finance and sales finally agree on the numbers.
Vertex AI development and ML model deployment
Models built on your data: demand forecasts, product picks, invoice reading. Your apps call them through an API.
Google Cloud data platform engineering
Pub/Sub for live events, Dataflow for processing, scheduled jobs for the rest.
GCP DevOps and CI/CD with Cloud Build
Every code change gets built, tested and released through Cloud Build. If something breaks, rolling back takes one step.
Google Cloud migration services
Moved in stages: website first, then databases, then the warehouse. No day off needed.
Not sure where to start?
Send us a list of your data sources and three questions you want answered. We'll suggest a setup.
Talk to us
Data analytics on Google Cloud
From scattered data to one clear picture
Right now your numbers are probably split across your app, billing software, Excel files and CRM. We bring them together in BigQuery and keep them updated.
Data pipelines
Every system you use, connected on a schedule.
Real-time analytics
New orders show up in BigQuery within seconds.
Data warehouse
Clean, clearly named BigQuery tables.
Dashboards
Looker Studio reports for each team.
Product intelligence
See which products and customers bring revenue.
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01
List every report
We list the reports people rely on and the tables behind them.
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02
Redesign the tables
Date partitions and clustering for quick, low-cost queries.
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03
Copy the history
Years of data loaded, totals checked.
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04
Run both in parallel
Old and new reports compared until they match.
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05
Switch over
Dashboards switched to BigQuery, old warehouse retired.
Machine learning on Google Cloud
Build and deploy AI models with Vertex AI
Once your data lives in BigQuery, machine learning stops being a big project. We build the pipelines on Vertex AI and put the models into use. Common examples:
Demand forecasting
Next month's sales by product and store.
Recommendations
"Customers also bought" in your app or store.
Document reading
Details pulled from invoices and forms automatically.
Churn alerts
Customers likely to leave, flagged early.
Cloud Run serverless application development
GKE vs Cloud Run: which is right for my application?
Both run containers. We usually start on Cloud Run and move to GKE only if needed.
|
Cloud Run
|
GKE
|
|
|---|---|---|
| Setup effort | Low, live in a day | Higher, needs cluster planning |
| Idle cost | Can scale to zero | Nodes run all the time |
| Control | Limited, Google manages it | Full control of networking and scheduling |
| Best for | APIs, web apps, background jobs | Many microservices, special workloads, GPUs |
Kubernetes consulting and GKE cluster setup
We design the cluster, set autoscaling and security, add monitoring and write runbooks.
Discuss GKE
Comparison
Google Cloud vs AWS vs Azure for data analytics and AI workloads
All three handle analytics and AI. GCP's edge is serverless BigQuery with Vertex AI right next to it.
eCommerce
Google Cloud architecture for eCommerce
Storefront on Cloud Run, orders in Cloud SQL, clicks in BigQuery, recommendations from Vertex AI.
Startups
Google Cloud solutions for startups
Cloud Run and Firebase keep early bills tiny. We help eligible startups apply for Google's credits.
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01
Partition big tables by date and cluster them.
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02
Name the columns you need; skip SELECT *.
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03
Budget alerts and query limits on each project.
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04
Use committed use discounts for steady Compute Engine workloads.
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05
Move suitable apps to Cloud Run so they scale to zero when idle.
FAQ
Google Cloud questions
What does a Google Cloud development company do?
Builds and runs software on Google Cloud: web apps, databases, BigQuery warehouses and Vertex AI models.
Should I use GKE or Cloud Run?
Cloud Run, in most cases. It's simpler and free when idle. Go with GKE only for many linked services or special hardware.
How do I reduce BigQuery costs?
Partition and cluster big tables, name your columns, and set budget alerts.
Can I move my on-premise data warehouse to BigQuery?
Yes. We redesign tables, load history and match old and new reports before switching.
What can Vertex AI do for my business?
Demand forecasts, product picks, invoice reading and churn alerts, trained on your data.
Is Google Cloud better than AWS for data analytics?
Often. BigQuery needs no servers and handles big data well, and Vertex AI sits next to it. What you already use still counts.
Why hire a Google Cloud development company in India?
Skilled cloud and data engineers at lower rates, with Mumbai and Delhi region experience. Based in Lucknow.
Free GCP review
What would you like to build on Google Cloud?
App, warehouse, AI model or a move from another cloud. Tell us a bit; we reply within a working day.
sales@softfix.in
Phone
+91 81890 10044
Address
1st Floor, CP/140, Viraj Khand-4, Gomti Nagar, Lucknow, Uttar Pradesh 226010