Google Cloud Reseller/Partner in India

• App Engine: A platform for building and hosting scalable applications on Google’s infrastructure, providing fast deployment and simplified administration without managing underlying hardware.
• Batch: A fully-managed service for creating and executing large-scale batch jobs, dynamically provisioning resources and integrating with other Google Cloud services.
• Blockchain Node Engine: A fully-managed service for hosting blockchain nodes, facilitating Web3 development.
• Compute Engine: Offers flexible and scalable virtual machines (VMs) in the cloud, allowing custom resource configurations (CPU, GPU, TPU) for various processing and analytics workloads.
• Google Cloud VMware Engine (GCVE): A managed VMware-as-a-Service solution enabling native execution of VMware workloads in a dedicated, private, software-defined data center on Google Cloud.
• VM Manager: A suite of tools for managing operating systems across Windows and Linux VM fleets running on Compute Engine.
• Workload Manager: A rule-based validation service that scans Google Cloud workloads for deviations from standards, improving system quality, reliability, and performance.

• Backup for GKE: Provides data protection and backup capabilities for workloads deployed within Google Kubernetes Engine (GKE) clusters.
• Cloud Storage: A RESTful, scalable, and highly durable object storage service for unstructured data, offering various storage classes, advanced security, and global accessibility.
• Persistent Disk: A high-performance, durable block storage service (SSD/HDD) attachable to Compute Engine or GKE instances.
• Cloud Filestore: A scalable and highly available managed file service, ideal for shared workloads requiring persistent, durable, NFS/POSIX-compliant storage.
• Cloud Storage for Firebase: Enhances file uploads and downloads for Firebase apps with customizable Google security rules and robust performance via the Firebase SDK, backed by Cloud Storage.
• NetApp Volumes: A fully-managed, ONTAP-powered file service by NetApp, supporting SMB, NFS, and multi-protocol file sharing for high-performance enterprise workloads.

• AlloyDB: A fully-managed, PostgreSQL-compatible database offering enterprise-grade performance and high availability for transactional and analytical workloads. Amyntas Media Works.
• Cloud Bigtable: A fast, fully-managed, and highly-scalable NoSQL database for collecting and retaining large datasets (1TB to hundreds of PB).
• Datastore: A fully-managed, schemaless NoSQL datastore with rich query capabilities, atomic transactions, and automatic scaling for web and mobile applications.
• Firestore: A NoSQL document database for real-time data syncing, querying, and offline support in mobile and web apps, integrating with Firebase and Google Cloud for serverless development.
• Memorystore: Provides fully-managed in-memory data store services (Redis, Memcached) for deploying distributed caches with sub-millisecond data access.
• Cloud Spanner: A fully-managed, mission-critical relational database service offering scalable online transaction processing (OLTP) with global consistency and high availability.
• Cloud SQL: A fully-managed service for creating, configuring, and using relational databases (MySQL, PostgreSQL, SQL Server) in Google Cloud, handling maintenance and administration.

• Cloud CDN: Uses Google’s global edge network to cache HTTP(S) content closer to users, improving delivery speed for load-balanced applications.
• Cloud DNS: A high-performance, global, fully-managed DNS service with a RESTful API for publishing and managing DNS records.
• Cloud IDS (Intrusion Detection System): A managed service for detecting malware, spyware, command-and-control attacks, and other network-based threats.
• Cloud Interconnect: Offers enterprise-grade connections to Google Cloud Platform via Dedicated Interconnect, Partner Interconnect, and Cloud VPN, linking on-premises networks directly to your VPC.
• Cloud Load Balancing: Provides scaling, high availability, and traffic management for both internet-facing and private applications.
• Cloud NAT (Network Address Translation): Enables instances in a private network to communicate with the internet.
• Cloud NGFW: A fully distributed, cloud-native firewall service for evaluating network traffic based on user-defined policies.
• Cloud NGFW Enterprise: An enhanced edition of Cloud NGFW including an Intrusion Prevention System (IPS) for inline protection against network-based attacks.
• Cloud Router: Facilitates dynamic Border Gateway Protocol (BGP) route updates between your VPC network and non-Google networks.
• Cloud VPN: Connects your VPC network to existing networks (on-premises, other VPCs, other clouds) via IPsec connections, supporting Classic and HA (High-Availability) VPN.
• Firebase App Hosting: A serverless web hosting product for modern, full-stack web apps, integrating with GitHub and managing the entire stack including SSR and client-side rendering.
• Google Cloud Armor: Offers a policy framework for customizing internet-facing application access and defending against DDoS and targeted application attacks with L3/L4 volumetric DDoS protection, WAF rules, and custom rules.
• Google Cloud Armor Enterprise: A managed application protection service bundling Cloud Armor WAF and DDoS Protection with additional capabilities like DDoS response support and Adaptive Protection (ML-based threat protection).
• Media CDN: A content delivery network leveraging Google’s global edge cache nodes for efficient delivery of rich media content.
• Network Connectivity Center: A hub-and-spoke model in Google Cloud for centralized network connectivity management, simplifying connections between customer resources and the cloud network.
• Network Intelligence Center: Google Cloud’s comprehensive platform for network monitoring, verification, and optimization across Google Cloud, multi-cloud, and on-premises environments.
• Network Service Tiers: Allows selection of different network qualities for outbound internet traffic (Standard Tier for third-party transit, Premium Tier for Google’s private backbone).
• Private Service Connect: Enables private access to managed services from within a VPC network and allows service producers to offer private connections to consumers.
• Secure Web Proxy (SWP): A simple, scalable, cloud-first web proxy for cloud workload protection, providing monitoring, content inspection, and granular policy control for web traffic.
• Service Directory: A managed service providing a single place to publish, discover, and connect services consistently across Google Cloud, multi-cloud, and on-premises environments.
• Spectrum Access System: Enables access to the Citizens Broadband Radio Service (CBRS) in the United States (3.5 GHz band) for registering and managing CBRS devices.
• Telecom Network Automation: Google Cloud’s open-source Nephio implementation, delivering carrier-grade, cloud-native automation for intent-driven network creation.
• Virtual Private Cloud (VPC): Provides a private network topology with IP allocation, routing, and firewall policies for a secure deployment environment.

• Cloud Logging: A fully-managed service for ingesting, analyzing, and exporting application, system, and custom log data at scale.
• Cloud Error Reporting: Analyzes and aggregates errors in cloud applications, notifying users of new error detections.
• Cloud Monitoring: Provides visibility into the performance, uptime, and health of cloud applications by collecting metrics, events, and metadata, with alert management.
• Cloud Profiler: Offers continuous profiling of resource consumption in production applications to identify and resolve performance bottlenecks.
• Cloud Trace: Provides latency sampling and reporting for App Engine, including per-URL statistics and latency distributions.
• Google Cloud Backup and DR: A managed backup and disaster recovery service for centralized protection of workloads within Google Cloud.

• Android Device Streaming: Powered by Firebase, allows secure connection to remote physical Android devices in Google’s data centers for app testing within Android Studio.
• Artifact Registry: A service for managing container images and packages, integrated with Google Cloud tooling and CI/CD pipelines.
• Assured Open Source Software (AOSS): Enables enterprises to securely incorporate Google’s scanned, analyzed, and fuzz-tested open source software into their workflows.
• Cloud Build: Executes builds on Google Cloud Platform infrastructure, supporting source code import from various repositories and producing artifacts like Docker containers.
• Cloud Deploy: A service for managing and performing continuous delivery of applications to Google Kubernetes Engine, offering process specification and control.
• Cloud Source Repositories: Provides Git version control for collaborative development of applications and services, including those on App Engine and Compute Engine.
• Cloud Workstations: Fully-managed, customizable, and secure development environments provisioned by administrators, offering fast development via browser or local IDE.
• Container Registry: A private Docker image storage system on Google Cloud Platform, accessible via HTTPS endpoint.
• Developer Connect: Enables creation and maintenance of connections to external source code management platforms.
• Firebase Test Lab: Allows testing mobile apps on a wide variety of physical and virtual devices in a Google data center, providing detailed test results.
• Secure Source Manager: A fully-managed service providing a Git-based source code management system.
• Test Lab: Enables mobile application testing using cloud-based physical and virtual devices, running instrumentation and script-less robotic tests.

• BigQuery: A fully-managed data analysis service for analyzing Big Data, featuring scalable storage and ad hoc querying on multi-terabyte datasets.
• Cloud Composer: A managed workflow orchestration service leveraging Apache Airflow to author, schedule, and monitor data pipelines across diverse environments.
• Cloud Data Fusion: A fully-managed, cloud-native data integration service with a graphical interface for building and managing data pipelines.
• Cloud Life Sciences (formerly Google Genomics): Provides services and tools for managing, processing, and transforming life sciences data.
• Data Catalog: A fully-managed, scalable metadata management service for discovering, managing, and understanding data across Google Cloud.
• Dataform: Provides an end-to-end experience for data analysts to develop, test, version control, and schedule complex SQL workflows.
• Dataplex: An intelligent data fabric that unifies distributed data and automates management and governance for scalable analytics.
• Dataflow: A fully-managed service for strongly consistent, parallel data-processing pipelines, supporting batch or continuous processing with a Java SDK.
• Dataproc: A fast, easy-to-use, managed Spark and Hadoop service for distributed data processing, including a serverless configuration for Spark clusters.
• Dataproc Metastore: A fully-managed metastore service simplifying technical metadata management, based on Apache Hive metastore, for data lakes built on open-source frameworks.
• Datastream: A serverless change data capture (CDC) and replication service enabling low-latency data synchronization across heterogeneous data systems.
• Google Earth Engine: A platform for global-scale analysis and visualization of geospatial datasets, usable with custom or publicly available satellite imagery.
• Looker (Google Cloud core): A business intelligence and embedded analytics solution hosted on Google infrastructure, enabling semantic modeling, customized insights, and collaborative dashboards.
• Looker Studio: A data visualization and business intelligence product for connecting to data, creating reports and dashboards, and sharing them.
• Looker Studio Pro: A paid edition of Looker Studio offering enterprise governance, team management features, and partner resale eligibility.
• Pub/Sub: A reliable, many-to-many, asynchronous messaging service for decoupling senders and receivers, facilitating communication between independently written applications.

• AI Solutions
  • Agent Assist: An LLM-powered AI solution that boosts human agent productivity and improves customer service through real-time assistance.
  • Anti Money Laundering AI (AML AI): Enhances financial institutions’ transaction monitoring with an AI-powered risk score for improved financial crime detection.
  • Automotive AI Agent: A hybrid, on-asset and online voice agent framework for building and deploying voice experiences for automotive devices and applications.
  • Automotive AI Agent API: Used for creating, managing, and deploying voice agent experiences, including access to pre-trained automotive agents.
  • Automotive AI Agent Premium Software: Premium software components part of the Automotive AI Agent solution.
  • Conversational AI (formerly Contact Center AI (CCAI)): Uses AI to enhance customer experience in contact centers, including Agent Assist, Dialogflow, Speech-to-Text, Text-to-Speech, and Speaker ID.
  • Conversational Insights (formerly Contact Center AI Insights): Helps extract value from contact center data by identifying sentiment, topics, and key insights.
  • Dialogflow Essentials (ES): A development suite for voice and text conversational applications that connect to customer and telephony platforms.
  • Dialogflow Customer Experience (Dialogflow CX) Edition: A development suite for creating conversational AI applications (chatbots, voicebots) with visual building, collaboration tools, and advanced IVR support.
  • Document AI: A unified console for document processing, providing access to pre-trained models (OCR, Form Parser) and specialized models for document extraction.
  • Document Workbench: Allows building custom classification, extraction, or splitting models for documents.
  • Human-in-the-Loop AI: Uses Document AI to provide workflow tools for human verification of data extracted from documents.
  • Document AI Warehouse: A scalable, fully managed data management and governance platform for storing, searching, and organizing documents and their metadata.
  • Food Ordering AI Agent: A pre-built conversational AI agent for automating food ordering, leveraging Gemini, Speech-to-Text, and other models, with insights via BigQuery and Looker.
  • Google Cloud Contact Center as a Service (CCaaS) (formerly Contact Center AI (CCAI) Platform): A CCaaS platform leveraging Conversational AI, integrating with CRMs for routing customer interactions across channels to human agents.
  • Talent Solution: Offers access to Google’s machine learning to improve talent acquisition for company career sites, job boards, ATS, and staffing agencies.
  • Translation Hub: A fully-managed document translation solution for organizations to translate documents on demand into various languages.
  • Vertex AI Search for Industry: Enables customers in retail, media, and other verticals to deliver Google-quality search results and recommendations.
  • Vertex AI Search for Commerce: Specific Vertex AI Search for commerce applications.
  • Recommendations AI: Enables building personalized recommendation systems using ML models.
  • Recommendation Engine API: The Version 1 API for Recommendations AI.
  • Retail Search: Allows retailers to leverage Google’s search capabilities on their websites and applications via Google’s Retail API.
• Pre-Trained APIs
  • Cloud Natural Language API: Analyzes text to identify entities, sentiment, languages, and syntax.
  • Cloud Translation API: Automatically translates text between languages.
  • Cloud Vision: Classifies images, detects objects and faces, and reads printed words.
  • Media Translation API: A gRPC API for real-time streaming audio translation between languages.
  • Speaker ID: Allows enrolling and verifying user voice prints.
  • Speech On Device: Deploys speech-to-text and text-to-speech services locally on embedded hardware.
  • Speech-to-Text: Converts audio to text using neural network models.
  • Text-to-Speech: Synthesizes human-like speech from input text in various voices and languages.
  • Timeseries Insights API: Enables large-scale real-time time series forecasting and anomaly detection.
  • Video Intelligence API: Analyzes videos to extract metadata, add annotations, and identify entities.
  • Visual Inspection AI: Automatically detects, classifies, and localizes abnormalities in images to improve production quality and develop analytics.
• AI Platform/Vertex AI
  • AI Platform Data Labeling: Helps developers label and centrally manage data for ML model training and evaluation.
  • AI Platform Training and Prediction: Enables easy training and deployment of machine learning models.
  • AutoML: Empowers users to build custom ML models using Google’s transfer learning and Neural Architecture Search across various data types (Natural Language, Tables, Translation, Video, Vision).
  • Vertex AI Platform: A service for managing the AI/ML development lifecycle, including dataset/model management, pipeline building, model deployment, and workflow management (Colab Enterprise, Workbench).
  • Vertex AI Neural Architecture Search (NAS): Leverages Google’s NAS technology to generate, evaluate, and train model architectures for applications.
  • Vertex AI Vision: A fully managed, end-to-end application development environment for building, deploying, and managing computer vision applications.

• Gemini for Google Cloud (formerly Duet AI for Google Cloud): Provides AI-powered end-user assistance embedded across many Google Cloud products for developers, data scientists, and operators.
• Gemini Code Assist (formerly Duet AI for Developers): Offers AI-powered assistance for development teams across the software development lifecycle.
• Gemini in BigQuery: Provides AI-powered assistance for understanding, querying, and working with data within BigQuery.
• Generative AI on Vertex AI: Encompasses various services with generative AI functionality within Vertex AI, including:
  • Vertex AI API: Provides API access to generative AI foundation models.
  • Vertex AI Conversation (formerly Gen App Builder): Allows leveraging foundational models and conversational AI to create multimodal chat or voice agents.
  • Vertex AI Live API: Enables low-latency, bidirectional voice and video conversations with Gemini for natural user experiences.
  • Vertex AI Model Garden: Provides access to generative AI foundation models (large language, text-to-image, image-to-text, multimodal).
  • Vertex AI Search: Leverages foundational models and search/recommendation technologies for multimodal semantic search and Q&A experiences.
  • Vertex AI Studio: A UI in the Google Cloud console for rapidly prototyping and testing generative AI models.
  • NotebookLM for enterprise: Enables generative AI for summarizing and extracting information from enterprise data.
• Agentspace: Combines AI Agents, Gemini models, and Google search for automation and employee productivity by connecting to enterprise data sources and applications.

• Agentspace: Includes agentic AI features of a Service.
• Firebase AI Logic: Allows adding generative AI features to applications with a proxy service, client SDKs, and access to chosen API providers and models.

• Apigee and Apigee Edge: Full-lifecycle API management platforms for designing, securing, analyzing, and scaling APIs, offering visibility and control. Apigee is available as a fully-managed (Apigee X) or hybrid service; Apigee Edge as fully-managed or customer-hosted (Private Cloud).
• API Gateway: A fully-managed service for developing, deploying, and securing APIs running on Google Cloud Platform.
• Application Integration: An Integration-Platform-as-a-Service (iPaaS) offering comprehensive tools for connecting and managing diverse applications.

Google Cloud Partners are trusted and certified service providers who collaborate with Google to deliver cutting-edge cloud solutions to businesses. These partners undergo rigorous training and certification programs to develop expertise in implementing, managing, and optimizing GCP services. By partnering with Google, they gain access to exclusive resources, technical support, and insights, enabling them to deliver exceptional value to their clients.

2.1 Extensive Expertise: Google Cloud Partners possess in-depth knowledge and experience in working with GCP services. They can provide valuable guidance and recommendations tailored to meet specific business requirements.

2.2 Seamless Implementation: Partnering with a Google Cloud Partner ensures a smooth and efficient transition to the cloud. Their expertise in deploying GCP services and infrastructure minimizes disruptions and maximizes productivity.

2.3 Customized Solutions: Google Cloud Partners understand that each business is unique. They can architect and customize GCP solutions to align with business goals, ensuring optimal performance and cost-efficiency.

2.4 Ongoing Support and Optimization: Beyond implementation, Google Cloud Partners offer continuous support, monitoring, and optimization services. They proactively identify opportunities to optimize cloud resources, enhance security, and improve overall performance.

India, with its thriving tech ecosystem and rapidly growing digital landscape, has witnessed a surge in demand for cloud services. Several Google Cloud Partners have established a strong presence in India, catering to businesses across various industries.

3.1 Google Cloud Partners in Gurgaon:

– Partner 1: Specializes in GCP migration and data analytics, serving enterprises in Gurgaon.

– Partner 2: Offers comprehensive GCP consulting and managed services, focusing on small and medium-sized businesses.

3.2 Google Cloud Partners in Delhi:

– Partner 3: Known for its expertise in GCP infrastructure and containerization, serving businesses in Delhi.

– Partner 4: Provides end-to-end GCP solutions, including AI and machine learning, to enterprises in Delhi.

Google Cloud offers flexible and competitive pricing options to cater to businesses of all sizes. Pricing models include pay-as-you-go, sustained use discounts, and committed use contracts. It is important to consult with a Google Cloud Partner to understand the pricing structure and optimize costs based on specific workload requirements.