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Scale Innovation with Google Cloud
Google Cloud Services and Solutions
Scale innovation, transform with confidence, and optimize Google Cloud investments
Scale innovation, transform with confidence, and optimize Google Cloud investments
As a strategic Google Cloud partner, Hexaware guides enterprises to scale innovation by combining cloud-native engineering, intelligent automation, advanced analytics, and AI-driven operations.
How Enterprises Modernize Data, AI, and Applications on Google Cloud
Innovation often begins with a single initiative, but creating lasting impact requires the ability to scale it across teams, processes, and platforms. Whether modernizing data ecosystems, accelerating cloud adoption, operationalizing AI, or improving software delivery, Hexaware moves you from isolated transformation efforts to enterprise-wide innovation.
Scale innovation by modernizing applications, unifying data, and accelerating AI with Google Cloud solutions built for enterprise growth, agility, and continuous transformation.
Google Cloud Services
From migration strategy and application modernization to platform engineering and cloud operations: build scalable environments.
Data and AI Services
Strengthen data foundations, improve governance and observability, unlock business intelligence, and operationalize AI at scale.
Build what adapts as your business evolves
Build an environment where data, applications, and decisions work together seamlessly. By establishing modern data foundations and scalable analytics platforms, you move from reactive decision-making to intelligence-led operations. A connected approach enables teams to uncover opportunities faster, improve business responsiveness, and drive innovation through trusted insights.
Create sustainable value from every investment
AI creates value when it becomes part of how work gets done. Hexaware’s Google Cloud implementation integrates intelligence into software engineering, customer engagement, and IT operations—improving productivity, accelerating delivery, and improving experiences. By combining enterprise data with Google Cloud AI capabilities, you move beyond experimentation and establish repeatable pathways for AI innovation.
Turn transformation into a competitive advantage
Innovation slows when teams spend time managing complexity. Our Google Cloud solutions automate critical stages of cloud assessment, migration, and modernization, providing greater visibility into transformation opportunities and enabling faster decision-making. With automated recommendations and multiple modernization pathways, you focus more on how innovation scales and less on operational overhead.
Data Processing
Manage app data with real-time batch log analysis for log management with Dataflow, Dataproc, and more.
Remote Monitoring
Get solutions to gather and analyze monitoring information from remote locations.
Streaming Data Analytics
Manage event streams in real time with autoscaling infra: Cloud Pub/Sub, Cloud Dataflow, and BigQuery.
End-to-end Google Cloud platform services from large-scale Google Cloud migration programs and intelligent cloud transformation to advanced data analytics and enterprise AI adoption.
Data Analytics
As a Google Cloud Data Analytics Specialized Partner, we build modern data foundations with built-in observability for advanced analytics and intelligence.
Industry recognition that reflects our expertise in helping enterprises modernize, innovate, and scale with Google Cloud.
Enterprises migrate legacy systems to Google Cloud by first discovering and assessing their existing environment using Migration Center to make an inventory of infrastructure, map application dependencies, and prioritize workloads. They then choose the appropriate modernization path—rehost, re-platform, refactor, or replace—based on business and technical requirements. Automated migration tools, phased migration waves, and validation throughout the process help reduce risk, minimize downtime, and accelerate cloud adoption.
Yes. Google Cloud enables enterprises to build cloud-native applications using Google Kubernetes Engine (GKE), Cloud Run, serverless services, APIs, and managed databases. By adopting containers, microservices, CI/CD pipelines, Infrastructure as Code, and platform engineering practices, development teams can release applications faster while improving scalability, resilience, and operational efficiency.
Enterprises assess workload readiness by discovering infrastructure assets, identifying application dependencies, evaluating performance characteristics, and reviewing security and compliance requirements. Google Cloud recommends classifying workloads based on migration complexity, business criticality, and modernization potential to determine migration priorities and select the most suitable migration strategy for each application.
Enterprises modernize legacy data platforms by migrating databases, data warehouses, and analytics workloads to managed Google Cloud services. They consolidate data into scalable platforms, modernize batch and streaming pipelines, and simplify analytics using services such as BigQuery, Dataproc, Dataflow, Datastream, and AlloyDB. This approach improves scalability, reduces operational complexity, and supports real-time analytics.
Enterprises build AI-ready data foundations by integrating data from multiple sources into governed, high-quality cloud data platforms. Google Cloud recommends establishing unified storage, metadata management, data governance, and scalable data pipelines before deploying AI and machine learning workloads. Services such as BigQuery, BigLake, Dataplex, and Vertex AI help prepare trusted, governed data for analytics, machine learning, and generative AI applications.
Enterprises manage security and governance by implementing centralized identity and access management, policy-based controls, encryption, network security, and continuous monitoring across cloud environments. Google Cloud recommends applying governance early in the migration process through Cloud IAM, Organization Policy, Security Command Center, Cloud Audit Logs, and Cloud Armor to enforce security policies, maintain compliance, and protect workloads throughout their lifecycle.
Scale Innovation with Google Cloud