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Cloud Transformation with Miracle and GCP
Through our strategic partnership with Google Cloud as a Select Co-sell & Services Partner, we help enterprises become intelligent, cloud-powered organizations that deliver measurable outcomes.
Explore Now
As enterprises continue to evolve, cloud-powered systems are shaping the future of global industry. Through our partnership with Google Cloud, customers across diverse sectors move faster in their cloud journey, relying on services that support growth, flexibility, and competitiveness. From optimizing automotive supply chains to personalizing retail experiences and modernizing manufacturing floors, this collaboration enables us to deliver modern infrastructures that support AI and machine learning, process large volumes of data, and turn information into meaningful insights.
Our Google Cloud Capabilities
Gemini Enterprise
Leverage the full power of Google's most capable AI models with enterprise-grade security and compliance to transform business workflows and productivity
Generative AI
Use Google’s cutting-edge technology and advanced models, like Gemini, to bring generative AI into real-world applications quickly
Infrastructure Modernization
Modernize your cloud infrastructure and run mission-critical workloads like SAP, Oracle, and SQL Server natively on Google Cloud
Application Modernization
Upgrade your outdated applications and create new solutions using Kubernetes, containers, and other cloud-native features
Artificial Intelligence
Equip your teams with AI/ML solutions that turn data into clear insights and support confident, informed business decisions
Security & Management
Protect your infrastructure and data while maintaining strong operational control with proven security and management tools
Where Cloud Strategy Meets Execution
Every Cloud initiative starts with a business requirement and a technical reality. Along with Google Cloud, we design and deliver programs built for performance, security, and long-term growth that produce real outcomes across the key areas below.
Aligning cloud plans with business goals using proven best practices
Designing architectures on Google Cloud for reliable performance
Modernizing platforms and data using BigQuery and native services
Building security and governance using cloud design standards
Together, the result is a cloud environment that supports your business priorities and improves how your teams work every day. Whether you are moving, improving, or building on Google Cloud, the focus stays on the value that truly matters to your business.
miraAI
Step into a smarter way of running operations with miraAI, a GenAI framework developed by Miracle Software Systems, Inc., to help organizations use AI in a controlled and practical way. It brings prompts, workflows, and enterprise data into one unified layer, removing silos and simplifying how AI is built and used. With built-in traceability, drift monitoring, and automated evaluation, miraAI keeps models accurate as they evolve. The result is faster delivery, better decisions, lower risk, and real business outcomes.
Accelerate Your Cloud Journey with Our Google Cloud Expertise
A Real-time Looker Dashboard for Covid-19 Contact Tracing
Cognitive Computing
Business Challenge
Our customer is a leading healthcare service agency that conducts investigations and contact tracing for thousands of patients each day.
They were overwhelmed with managing COVID-19 case investigations and looking for a real-time dashboard to investigate all the COVID-19 case details, conduct comprehensive interviews, and provide education on self-care, wellness, and isolation.
Our Solution
- To build a real-time interactive Looker dashboard for contact tracing, integrate applications, and enable investigators to access specific data with a Single Sign-On
- To implement contact tracing functionality that allows state investigators to trace down the information on the Covid cases
- To create an inbuilt functionality using cloud functions and other APIs to track patient Covid-19 details, reassign cases, send reminder notifications, and the required education links
Customer Benefits
- Achieved 90% successful questionnaire delivery rate
- Reduction of 2 operations hours per day
- Less manual or human intervention or support
Technology Scope
- Google Cloud - Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Function, Cloud Run, Looker, Looker Studio
Real-time streaming data ingestion for Automobile Manufacturers using Cloud services
Could Applications
Business Challenge
Our customer is an Automobile Manufacturer, were planning to use machine learning models to identify issues before moving to manufacture and reduce costs.
They were looking to build a streaming data ingestion pipeline based on an event-driven architecture to ingest the test bench data.
Our Solution
- Build an event-based data pipeline using streaming data with Dialog Flow and Google Pubsub
- Architect a fail-safe solution to collect unprocessed files and create a safety net for the initial data pipeline
- Use cloud storage as a data sink and cloud storage events as event triggers for various data flow jobs
- Automate pipeline deployments for infrastructure setup using Cloud Build and Terraform
- Ensure security and access control using service accounts
Customer Benefits
- Provided cloud-based infrastructure to test data, auto-detect anomalies, predict defects, and quickly analyze large amounts of test data within 15 mins
- Removed dependency of existing 3rd party tool by adding transformation logic in Cloud dataflow
- Streamlined millions of test data to achieve near real-time anomaly detection before it leaves transmission plant and save customer’s funds provided for Claims redemption
Technology Scope
- Python, Google Dataflow, BigQuery, Cloud Storage, Terraform, and Cloud Build
BigQuery Automated Audit Framework (BQAAF) for Data Extraction
Cloud Applications
Business Challenge
Our customer is the largest insurance company facing challenges with the fast-growing Data Lake in extracting insights from BigQuery and Cloud Storage Buckets.
They were having multiple Data Lake Environments and needed assistance in designing an event alert system to send email notifications for critical events. Also, they were looking for an operational dashboard to display audit KPIs and insights.
Our Solution
- To develop a metrics extraction engine using Cloud Functions and Cloud Pub/Sub, an email notification system using Cloud Function, and an operational dashboard using Data Studio dashboard
- To create schemas for storing audit data, deploy Cloud Functions, and orchestrate Cloud Scheduler automation for the execution of Cloud Functions
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To design a Data Studio dashboard for BigQuery and Cloud Storage Bucket metrics that cover,
- To create a detailed report of the entire data lake
- Use the BigQuery log sink,
- Delete events occurred in the data lake
- Query logs in the data lake
- Metrics Extraction Engine - Fetch the record from the configuring projects and store it in central BigQuery
- Event Alerting System - Notifies users via email on critical events such as table/view deletion
Customer Benefits
Through the implementation of the framework, the customer achieved some of the following benefits,
- Monitor the BigQuery and Cloud Storage Bucket resources on a daily basis
- Automatically collects data, aggregates, and displays on Data Studio dashboards that are only available to the administrative stakeholders
Technology Scope
- Google Cloud Services - BigQuery, Data Studio, Cloud Functions with NodeJS
Thought Leadership
Google Cloud Next 2026 - Let's Connect
Meet our experts at Google Cloud Next 2026 and learn how we help organizations accelerate digital transformation with smart cloud solutions.
Meet us at Google Next