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Architecting a DevOps-proof Big Data cloud platform

Background

Our client is one of the largest Belgian telecom player and providers of connectivity & media services for B2C and B2B. Fast & timely deployment of new app & data environments for internal and external customers at a competitive price is a key differentiator.

Challenge

Our client was unable to scale deployments of apps and data with an old on-premise platform. Deployment of new environments on the platform were slow and costly due to significant manual work and risk of errors.

Approach

Include the data governance & guideline definition as part of the core project Define the right architecture for deployment teams Migrate to a cloud-based platform Implement reusable deployment items (enablers, scripts, applications) to cater for easy and swift deployment. Design and drive adoption for DevOps approach

Key results

01
Ensuring no “lift-and-shifts” occurred, focus only on complete reengineering
02
Setup clear governance to enforce, adopt & teach a new DevOps approach
03
Augment cloud platform’s functionalities, allowing only fully automated environments (Guardrails)

Benefits

Our client reduced the time to market of new data & app environments whilst reducing cost of operations, deployments and reducing risk of failure by migrating to a fully automated cloud-based platform.

Technology partners

Microsoft

Microsoft is a leading cloud provider and renowned publisher of office software and business intelligence solutions.

25+

years of partnership

3x

certified expertise: development, data, cloud

200+

clients

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