Google Cloud Platform

Build with Google Cloud Platform Experts

We have deep understanding of Google Cloud's PaaS and Managed Services. We will help you architect and develop your product for scale, extensibility, and reliability.

Google Cloud Platform | Google Cloud PaaS
20+
Projects Delivered
12+
Terabytes Data Processed
83+
Micro-services Managed
25+
Google Cloud Services Used
Product Engineering

Product Engineering

Work with our Google Cloud Experts - Architects, Cloud Engineers, Data Engineers, and DevOps Specialists - to build a scalable and maintainable software product.

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data Platform & analytics

Data Platform
& Analytics

Build your analytics stack using state-of-the-art Google Cloud data services for data pipeline engineering, data warehousing, machine learning and AI services, and scalable databases & datastores.

Infrastructure as a code

Infrastructure as a Code

Automate your application and infrastructure deployment, configuration, testing, and monitoring. Augment automation with our certified Cloud Engineers for remediation to ensure 99.5% application availability.
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Product Engineering with Google Cloud

Build Cloud Native product architecture using PaaS services across the compute, storage, middleware, data engineering, and operations stack by Google Cloud.

Resource Scheduling & Project Planning SaaS

We helped a ProductivityCo build a distributed and elastically scalable Resource Scheduling & Project Planning SaaS with 25+ micro-services running in the serverless environment.

Modernization of a Proximity Marketing Platform

We helped a ProximityMarketingCo modernize its application data processing stack by introducing Google Cloud platform services such as Pub/Sub, DataFlow, and BigQuery to enable elastic scaling to millions of location events.

Serverless Distributed Crawler for a MediaCo

We built a highly scalable serverless crawler using Google Cloud Functions. The crawler achieved throughput of 25K+ pages per minute with less than 2% failure rate.

Resource Scheduling & Project planning SaaS
Modernization of a Proximity
Serverless Distributed crawler

Let's Build Cloud Native with Google Cloud

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Data Platform & Analytics with Google Cloud

Build a scalable and insightful analytics solution using Google Cloud’s data and analytics stack.

HL7 Integration & Data Warehouse for EHRCo

We built a clinical data warehouse using Google Cloud's HL7 datastore; MLLP adapter, Cloud PubSub, and Cloud Dataflow for integration and transformation, with Big Query as the cloud data warehouse.

Video Analytics for a MarTechCo

We helped a MarTechCo build a Video Analytics and Reporting stack using Big Query and Dashoards/Reports in Google Data Studio.

EdTech Analytics Platform for an EdTechCo

We built a federated, multi-cloud data integration, aggregation, and analytics Education Analytics platform using Cloud SQL, Cloud Dataflow, Cloud Function, Cloud Pub/Sub, and Big Query.

HL7 Integration & Warehouse for EHRCo
Video Analytics for a MartechCo
EdTech Analytics platform for an EdTechCo

Infra as a Code with Google Cloud

Automated Build, Deployment; Tools to Monitor & Experts to Remediate.

Automated Tenant Provisioning for an Edtech SaaS
Automated Tenant Provisioning for an EdTech SaaS
CI for an Augmented EHR Platform
CI for an Augmented EHR Platform
CI/CD for a Project Management and Collaboration SaaS
CI/CD for a Project Management and Collaboration SaaS

We built a federated deployment automation and configuration workflow using Orbitera - a cloud commerce platform, Google Cloud Build, Google Deployment Manager, and Google Cloud Functions. The automation involved provisioning of complex stack consisting of Big Query, Google Cloud Dataflow, Google App Engine, Google Run, and Google Cloud SQL.

We helped an EHRCo having a highly distributed Augmented EHR platform to do continuous integration of it's 20+ micro-services, front-end applications, and the data platform consisting of Google Big Query, Google Cloud Dataflow, and Google Cloud Composer cluster and pipelines.

We built a CI and CD pipelines for a Project Management and Collaboration SaaS Platform. The pipeline uses Google Cloud Build, Google Cloud Deployment Manager, and Google Cloud Functions to build, deploy, and configure the Google Cloud Run based micro-services, and ReactJS front-end application.