Multi-Cloud Cost Optimization
The multi-cloud cost optimization process comes to optimize and reduce customers’ cloud spending across AWS, Google Cloud, and Microsoft Azure.
Put Cloud Cost Optimization on Autopilot with FlexSave – Learn more
The multi-cloud cost optimization process comes to optimize and reduce customers’ cloud spending across AWS, Google Cloud, and Microsoft Azure.
Machine Learning for Minimum Viable Model helps customers develop an initial machine learning model running on TensorFlow to demonstrate proof-of-concept modeling of a specific business use case.
Cloud Discover: Machine Learning helps customers who are less familiar in the field to understand the concepts and identify potential business problems that can be solved using AI/ML.
Operate an agile Kubernetes infrastructure backed by our experts. Our support covers critical workflows and technologies so you can build, run and scale Kubernetes with confidence.
We work alongside customer team members to help them gain first-hand experience with cloud solutions, familiarize themselves with deployment activities, and understand the next steps required for future cloud migrations.
Secure, scalable and highly available cloud hosting solutions.
Our expert consultants can work with you to identify the solution that best suits your needs.
November 5 (5 Min)
Ephi — The ephemeral bot for Slack built with Google App Engine Task QueuesNovember 23 (3 Min)
KubeRBS for automatic Kubernetes rollbacks so you can sleep better at night!September 7 (3 Min)
Our team of expert cloud consultants are the time-conscious, cost-conscious, and customer-first solution to your cloud needs.
