Impetus helps enterprises design, build, and modernize cloud-native applications on Google Cloud—combining deep engineering expertise, data and AI capabilities, and automation-first delivery. From new digital products to large-scale modernization, we turn Google Cloud into a launchpad for business-ready, resilient applications.
Cloud-native engineering aligned to your business outcomes
Our teams bring cloud-first architecture, strong domain knowledge, and a product mindset to every build on Google Cloud.
Cloud-native apps using microservices, containers, and serverless (Cloud Run, GKE, Cloud Functions)
Modernization of monoliths and legacy workloads to scalable Google Cloud architectures
API-first, event-driven design using Apigee and Pub/Sub for seamless integration
Built-in DevSecOps with CI/CD, observability, security, and reliability by design
Embedded analytics, AI/ML, and GenAI using Vertex AI and BigQuery to create intelligent experiences
End-to-end services for modern app delivery on Google Cloud
We support the full application lifecycle—from advisory to run—and accelerate delivery with reusable patterns, reference architectures, automation, and our cloud migration accelerator, LeapLogic.
Advisory & assessment: app portfolio assessment, modernization roadmap, TCO & ROI analysis
Automated modernization with LeapLogic: Transform legacy applications—including monoliths, ETL pipelines, middleware, and batch workloads—into modern, cloud-native architectures on Google Cloud. LeapLogic automates code transformation, dependency mapping, data migration, and validation to accelerate modernization with lower risk.
Architecture & build: microservices design, APIs, event-driven and data architecture, UX engineering
Migration & re-engineering: re-platforming, refactoring, or re-architecting legacy apps to Cloud Run, GKE, Cloud Functions, and Google-managed services
DevSecOps & SRE: CI/CD pipeline automation, IaC (Terraform/Cloud Deploy), policy-driven security, centralized observability
Operate & optimize: application performance tuning, cost optimization, reliability engineering, and continuous feature evolution
Global data & analytics provider accelerates its shift to Google Cloud
A leading global provider of commercial data and analytics wanted to move mission-critical applications from AWS to Google Cloud to take advantage of serverless and container-based services, reduce infrastructure management overhead, and improve long-term scalability and reliability.
Implemented a streamlined migration using Docker containers and Terraform-based infrastructure as code
Used automated pipelines (Harness) and Helm charts to standardize builds and enable near single-click deployments
Delivered more robust application performance on Google Cloud while lowering operational effort and costs
Established a repeatable blueprint for future application migrations to Google Cloud across the enterprise
Explore how we can modernize your applications on Google Cloud Contact us
