EndorsedendorsedOngoing

Cloud Consulting & DevOps for Cars2View

Services Covered:

Cloud Consulting and ServicesCustom Software Development
Project hero — replace with case study imagery
Industry
Industry

Automotive

Duration
Duration

70 months

Budget
Budget

Less than 10K

Client Size
Start Date

1 October 2020

Team Size
Team Size

Confidential

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
71/100
Good

Project Capability Score (PCS) estimates how capable Zitec is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

Cars2View

mapStockholm, Sweden

Project Summary

Zitec developed Cars2View, an AI-driven platform for the automotive industry, and deployed it to Azure with a cloud-based ETL pipeline using Azure Functions and Azure Queues. The solution ingests large volumes of data rapidly while lowering costs and requiring minimal maintenance. The client praised Zitec's effective workflow and end-to-end cloud and DevOps delivery.

Key Challenges

  • Provide managed services, DevOps and cloud counseling
  • Evaluate cloud providers (AWS vs Azure) and select the appropriate platform
  • Build an AI-driven platform (Cars2View) to track market prices and deliver real-time results for automotive dealers

Project Deliverables

  • AI-driven Cars2View platform
  • Cloud deployment and infrastructure on Azure
  • ETL pipeline using Azure Functions and Azure Queues
  • Managed DevOps and cloud operations

Project Solution

After choosing Azure as the cloud provider, Zitec implemented cloud infrastructure and managed services for the Cars2View platform. They built and deployed an AI-driven solution and designed an ETL process that uses Azure Functions together with Azure Queues to ingest large volumes of data efficiently. The engagement included DevOps, security resources, project and account management, with the client's CTO as the primary contact for architectural decisions.

Project Outcome

  • ETL using Azure Functions and Azure Queues ingests large volumes of data quickly at a fraction of the cost
  • Solution requires very little maintenance, reducing dev-ops costs
  • Workflow between teams was effective and Zitec delivered infrastructure on time

Platforms

  • CloudCloud

Tech Stack

  • AzureAzure

Client Endorsement

Overall Review Rating

4.88star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The data-driven solution Zitec developed used Azure's full potential, allowing the platform to ingest a considerable amount of data in a very short time. It also helped the client save costs and requires very little maintenance. Moreover, the client was impressed with Zitec's effective workflow.

Radu Chitu

IT Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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