qCloudy

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Cloud consulting & SI and IT managed services company qCloudy was established in 2021. The small team provides cloud consulting & SI and IT managed services. The firm is headquartered in Almaty, Kazakhstan.

Client Insights

Industry Expertise

Financial services

20%

Retail

20%

Telecommunications

20%

eCommerce

20%

Education

10%

Media

10%

Client Size Distribution

Small Business (<$10M) 34%

Midmarket ($10M - $1B) 33%

Enterprise (>$1B) 33%

Common Project Size

<$10K 4 projects

$10K-$49K 2 projects

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
6 Reviews

For the GoCrowd project, qCloudy was tasked with deploying a secure and scalable infrastructure to AWS for the pilot launch of the product. The team, consisting of one senior devops architect, two middle devops engineers, and a manager, successfully set up the infrastructure on AWS, adhering to best practices. This included deploying AWS EKS with correct subnets setup, configuring key rotation for access, and setting up an antivirus that checks files that get into the S3 bucket, among other tasks. The client was pleased with the speed, quality, and price of the services provided by qCloudy.

In the project with Mycar Group, qCloudy was hired to deploy infrastructure for GovTech services integrated with government services on the local DataCenter – PSCloud. The team of 2-5 employees demonstrated the feasibility of the technology and process through a quick PoC. They successfully deployed resilient Kubernetes, a resilient database, monitoring, and system of logging. The infrastructure was launched and supported by qCloudy, leading to a successful completion of the project. The client appreciated the high ratings, good value for cost, and referral of qCloudy.

For the Technodom project, qCloudy was hired to help the company understand and analyze data for management decision-making. The team, consisting of a delivery manager, AWS solution architect, and 2 cloud engineers, quickly demonstrated the feasibility of the technology and process through a PoC. They then implemented the DataOps/MLOps process, enabling the company's Data/ML engineers to automatically run Data/ML pipelines. The client was satisfied with the work of qCloudy, noting their experience with Data lake and AWS certified engineers as deciding factors in their selection.

Timeliness

5.0

Service Excellence

5.0

Value

4.8

Would Recommend

4.9