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Database Migration to Managed Kubernetes for Real-time Dairy Monitoring System
  1. case
  2. Database Migration to Managed Kubernetes for Real-time Dairy Monitoring System

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Database Migration to Managed Kubernetes for Real-time Dairy Monitoring System

dac.digital
Food & Beverage
Agriculture
Logistics

Challenges with Database Migration and Operational Stability

DairyTech Solutions is facing challenges in migrating their extensive database to a Kubernetes infrastructure while ensuring uninterrupted operations. Key pain points include minimizing downtime, maintaining data integrity, enhancing system reliability, and reducing operational costs associated with managing the database infrastructure. The current aging infrastructure and complex database volume present significant hurdles to a smooth and secure migration.

About the Client

A leading software solutions provider specializing in digital data management and real-time monitoring for the dairy industry, focusing on optimizing raw milk collection processes and transportation efficiency.

Project Goals

  • Migrate the existing database to a managed Kubernetes service.
  • Achieve seamless data migration with zero downtime for critical dairy operations.
  • Enhance data security and reliability through a modern Kubernetes environment.
  • Reduce operational costs associated with database management.
  • Improve system scalability to accommodate future data growth.

System Functionality

  • Real-time data ingestion from various sources.
  • Secure and reliable database storage.
  • Efficient data retrieval and querying.
  • Automated database backups and recovery.
  • Scalable database infrastructure to handle growing data volumes.

Preferred Technologies

Kubernetes
Helm
MongoDB
Managed Kubernetes Service (e.g., AWS EKS, Google Kubernetes Engine, Azure Kubernetes Service)

Required Integrations

  • Existing data pipelines
  • Monitoring and alerting systems
  • Dairy farm management systems

Non-Functional Requirements

  • High availability and fault tolerance
  • Scalability to handle increasing data volume and user load
  • Strong data security and encryption
  • Automated deployment and management
  • Performance optimization for real-time data processing

Expected Business Impact

Successful completion of this project will result in enhanced data security, reduced operational costs, minimized downtime for critical dairy operations, improved system scalability, and increased agility for DairyTech Solutions. This will enable them to better serve their clients in the dairy industry and maintain their competitive edge.

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