Grid Dynamics has a strong track record of migrating their Fortune 500 clients to Google Cloud Platform. In the last three years, Grid Dynamics has led a variety of major cloud migration programs for clients among the top 25 US retailers related to the modernization of e-commerce; order management and supply chain applications; green-field development of Big Data and machine learning platforms; and DevOps automation on Google Cloud.

Specialization in data analytics involves multiple successful implementations of Big Data platforms using Google Cloud Platform that involves data ingestion, preparation, storage and analysis, in batch and real-time.

Google Cloud Platform products that are included in this specialization are BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datalab and Cloud Pub/Sub.

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A specialization in cloud migration comes from a history of repeatably building successful foundational architectures and migrating a significant number of customer workloads from either on-premises or other cloud providers to Google Cloud Platform.

Google Cloud Platform products involved in this specialization include Compute Engine, Kubernetes Engine, Cloud SQL, Cloud Datastore, BigQuery, Persistent Disk, Cloud Storage, Cloud Spanner.

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A machine learning specialization is based on demonstrable success with data exploration, preprocessing, model training, model evaluation, model deployment, online prediction and Google’s pre-trained machine learning APIs.

Google Cloud Platform products that are included in this specialization are TensorFlow, Cloud Machine Learning Engine, Cloud Jobs API, Cloud Natural Language API, Cloud Speech API, Cloud Translation API, Cloud Video Intelligence API, Cloud Vision API, AutoML, BigQuery, Dataflow, and Dataproc.

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Specialization in cloud infrastructure rests on large-scale enterprise cloud enablement programs that include architecting, building and migrating on-premise infrastructure and workflows to Google Cloud Platform.

Google Cloud Platform products included in this specialization are Compute Engine, Kubernetes Engine, Stackdriver, Virtual Private Cloud, Cloud Load Balancing, Cloud Interconnect, Cloud CDN, Cloud DNS, Network Service Tiers, Cloud NAT, Persistent Disk, Cloud IAM and Cloud Key Management Service.

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to acelerate cloud adoption for legacy Application Migration, Big Data Platforms and ML Models on GCPLearn More

We can make the data work for you

  • Optimize platform performance
  • Cloud migration without service disruption
  • Gather and process data with quality automation and AI/ML
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We automate your journey to microservices

  • Architect interface between infrastructure and application
  • deploy microservice platform from open source accelerator
  • support the platform in all environments and train your team
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We help your data science team to:

  • deploy your open source or cloud ML platform
  • prepare data for scientists
  • optimize and productize scientists' models
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Google Cloud Platform ai a suite of cloud computing services that runs on Google's infrastructure
Apache Spark isan open-source distributed general-purpose cluster-computing framework.
Apache Hadoop is a collection of software utilities that facilitate using a network of computers to solve problems involving massive amounts of data and computation.
Kubernetes is an open-source container-orchestration system for automating application deployment.
Istio provides a uniform way to secure, connect, and monitor microservices
Python is an interpreted, high-level, general-purpose programming language.
TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of task
Google Stackdriver is a cloud computing systems management service
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream and batch modes
BigQuery is a RESTful web service that enables interactive analysis of massive datasets.
Google Cloud Dataproc is a cloud-based managed Spark and Hadoop service offered on Google Cloud Platform.
Cloud Datalab is an interactive tool to explore, analyze, transform and visualize data and build machine learning models.
Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications
Google Compute Engine is an Infrastructure as a Service offering that allows clients to run workloads on Google's physical hardware
Cloud SQL is a fully-managed database service that lets you set up, maintain, manage, and administer your relational databases on Google Cloud Platform
Google Cloud Datastore is a scalable, fully managed NoSQL database service offered on the Google Cloud Platform
Google Persistent Disk is durable and high performance block storage for the Google Cloud Platform
Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure.
Google Cloud Spanner is a distributed relational database service that runs on Google Cloud.
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run machine learning models.
A virtual private cloud is an on-demand configurable pool of shared computing resources, providing a certain level of isolation between the different organizations using the resources.
Load balancing refers to efficiently distributing incoming network traffic across a group of backend servers.
Google Cloud Interconnect provides a direct physical connection between your on-premises network and Google's network.
Cloud CDN (Content Delivery Network) uses Google's globally distributed edge points of presence to cache load balanced content close to users.
Cloud DNS translates requests for domain names like www.google.com into IP addresses like 74.125.29.101
Google Cloud Identity and Access Management (IAM), allows administrators more granular access to specific Google Cloud Platform resources.
Google Cloud Key Management Service (KMS) is a cloud service for managing encryption keys for other Google cloud services that enterprises can use to implement cryptographic functions
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models.
Google Cloud Platform ai a suite of cloud computing services that runs on Google's infrastructure
Apache Spark isan open-source distributed general-purpose cluster-computing framework.
Apache Hadoop is a collection of software utilities that facilitate using a network of computers to solve problems involving massive amounts of data and computation.
Kubernetes is an open-source container-orchestration system for automating application deployment.
Istio provides a uniform way to secure, connect, and monitor microservices
Python is an interpreted, high-level, general-purpose programming language.
TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of task
Google Stackdriver is a cloud computing systems management service
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream and batch modes
BigQuery is a RESTful web service that enables interactive analysis of massive datasets.
Google Cloud Dataproc is a cloud-based managed Spark and Hadoop service offered on Google Cloud Platform.
Cloud Datalab is an interactive tool to explore, analyze, transform and visualize data and build machine learning models.
Cloud Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications
Google Compute Engine is an Infrastructure as a Service offering that allows clients to run workloads on Google's physical hardware
Cloud SQL is a fully-managed database service that lets you set up, maintain, manage, and administer your relational databases on Google Cloud Platform
Google Cloud Datastore is a scalable, fully managed NoSQL database service offered on the Google Cloud Platform
Google Persistent Disk is durable and high performance block storage for the Google Cloud Platform
Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure.
Google Cloud Spanner is a distributed relational database service that runs on Google Cloud.
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run machine learning models.
A virtual private cloud is an on-demand configurable pool of shared computing resources, providing a certain level of isolation between the different organizations using the resources.
Load balancing refers to efficiently distributing incoming network traffic across a group of backend servers.
Google Cloud Interconnect provides a direct physical connection between your on-premises network and Google's network.
Cloud CDN (Content Delivery Network) uses Google's globally distributed edge points of presence to cache load balanced content close to users.
Cloud DNS translates requests for domain names like www.google.com into IP addresses like 74.125.29.101
Google Cloud Identity and Access Management (IAM), allows administrators more granular access to specific Google Cloud Platform resources.
Google Cloud Key Management Service (KMS) is a cloud service for managing encryption keys for other Google cloud services that enterprises can use to implement cryptographic functions
Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models.

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