Grid Dynamics has been working with AWS since its inception. In 2007 we ran the industry's first AWS scalability benchmark. We have brought numerous clients to the AWS platform and used our deep expertise, experience, and blueprints to accelerate the adoption of cloud services and APIs to major retail and media customers. Contact us to learn more about how our AWS architects can help your team get the most out of AWS cloud.
Grid Dynamics has a long history of migrating Fortune 500 clients to Google Cloud Platform. Now Grid Dynamics teams up with Google Cloud to accelerate cloud adoption for legacy application migration, Big Data platforms and ML models on GCP. We leverage our experience, blueprints and accelerators to build advanced applications on Google Cloud Platform for our clients.
Grid Dynamics is a certified Microsoft cloud partner. As a systems integrator we support the growth of Microsoft Bing for Commerce solutions based on advanced semantic vector search technology, powered by deep learning.
Grid Dynamics is a certified Dataiku partner. Grid Dynamics specialized in implementing advanced AI/ML solutions on top of the Dataiku platform, including models driving fraud detection, customer churn prevention, predictive maintenance, supply chain optimization, and much more. Dataiku is one of the world’s leading AI and machine learning platforms, supporting agility in organizations’ data efforts via collaborative, elastic, and responsible AI, all at enterprise scale.
Grid Dynamics helped a number of Fortune-500 companies achieve 10x reduction of time to market by modernizing applications, migrating to cloud and microservices, and onboarding DevOps best practices. We partner with Harness.io to implement Continuous Delivery from code commit to production deployments for traditional and microservices applications across cloud and datacenter environments. The CI/CD platform from Harness.io simplifies the implementation of the Continuous Delivery process and reduces the time and effort to implement best of breed DevOps best practices.