Cloud Engineering
Сloud is a vital element in digital transformation for enterprises and businesses across verticals for cost-efficiency and easy scalability
We can help you:
– Prepare your project for visitors and data increase
– Make sure you’re getting all the cloud benefits
– Automate processes and raise efficiency
– Keep sensitive company info private, while enjoying the cloud benefits
We offer industry solutions:
Cloud migration
Start the digital transformation of your project with the help of a cloud technologies. We can audit your infrastructure, help define your expectations, adapt your project for the transfer to cloud. Say goodbye to the legacy code issues.
Cloud optimization
Minimize the delays, expenses, and efforts by ensuring the optimal cloud usage. Our cloud architects can audit your projects, access cloud maturity, and find perfect solutions for your business.
Cloud automation
Accelerate time to market and keep your projects agile using cloud automation. It includes microservice architecture, containerization, cloud autoscaling options, Infrastructure as a code(IaC) service, as well as cloud testing and QA automation.
Hybrid Cloud development
Keep your enterprise data about business, sales, and other sensitive information on private cloud while benefiting from running analytics queries in public one, which can autoscale according to demand. Hybrid cloud connects your on-premise infrastructure with public cloud to streamline the process
Check our related case studies:
Real-time diagnostics
We have created with Google Cloud Platform developers and researchers from the University of Queensland an end-to-end streaming pipeline for pathogen detection on Google Cloud Platform.
Real-time diagnostics
We have created with Google Cloud Platform developers and researchers from the University of Queensland an end-to-end streaming pipeline for pathogen detection on Google Cloud Platform.
Real-time diagnostics
We have created with Google Cloud Platform developers and researchers from the University of Queensland an end-to-end streaming pipeline for pathogen detection on Google Cloud Platform.
ML Engineering Team:
- Solutions Architect
- Developer
- Business Analyst
- Cloud Architect
- Data Engineer
ML Engineering Process:
- Technical Audit & Research
- Documentation
- Development
- Deployment & Supports
Technologies and Frameworks
AWS, Google Cloud Platform, Kubernetes
Expertise:
Read more in our blog:
HOW TO MAKE A VIRTUAL ASSISTANT LIKE SIRI AND GOOGLE ASSISTANT
Could you have imagined 10 years ago that you would be able to talk to a phone a...
COVID-19 PUBLIC DATASET PROGRAM BY GOOGLE CLOUD PLATFORM
Free access to datasets and data analyzing tools at cloud scale has a significan...
WHAT IS A LIFT AND SHIFT CLOUD MIGRATION?
Do You Actually Need to Migrate? If you’re reading this arti...