enreap's success story with Wagons Learning's AWS backup solution
Use Case - Backup
About customer
Wagons is the leading LMS Brand in India and across the world. Wagons Learning was founded with a vision that is all-encompassing in its breadth, yet single-minded in its focus, effectively – ‘charge you a step forward’ as an individual or an organization. Wagons Learning delivers training programs with cutting-edge techniques and methodology that equip people with the right skills and knowledge, to help them achieve their career dreams. Wagons Learning focuses on a scientific assessment of each client’s need and an accurate evaluation of the training delivery and the results to ensure this happens.
Summary
Wagons Learning currently relies on on-premises storage solutions across their 5 office locations in India to store their important data. However, they face challenges in ensuring seamless accessibility, robust security, and cost-effectiveness. They also lack a reliable backup solution, which poses a risk of data loss in case of emergencies. Moreover, managing their data across multiple locations is complex and lacks centralized control and monitoring. To address these issues, they are exploring alternative solutions that offer secure, cost-effective, and accessible data storage and backup capabilities with centralized management and a user-friendly interface.
Challenges
• Managing data stored across five office locations in India poses logistical challenges in terms of coordination, synchronization, and ensuring consistency.
• The customer was looking for seamless access to data from any location.
• The customer was looking for a solution to protect sensitive data against unauthorized access, and data breaches.
• The absence of a reliable backup solution was a risk of data loss in case of hardware failures, natural disasters, or cyber-attacks are the key reasons for
customers to develop a robust backup strategy.
• Lack of centralized control and monitoring of data storage and backup across multiple locations was making data management complex and inefficient.
• They want a user-friendly interface on the solution provided over the above challenges.
Solution
Wagons Learning optimized their data management with a solution that combined Cloudberry Backup and AWS services. They utilized AWS S3 buckets as primary storage and Glacier for long-term archival, ensuring scalability and cost-effectiveness. Integration with Cloudberry allowed them to manually schedule and execute backups across all offices, enhancing data protection. AWS IAM and KMS were manually configured to bolster security, allowing precise access control and encryption management. Monitoring and compliance were manually ensured through AWS CloudWatch and CloudTrail, with administrators reviewing logs and alerts. Cloudberry's centralized console was manually accessed to simplify management tasks, ensuring consistency across locations. With careful manual cost optimization using AWS Cost Management tools, they maximized efficiency while staying within budget constraints, adjusting settings as needed.
• AWS S3 buckets were created to serve as primary storage for data across all office locations.
• Lifecycle policies were configured to transition data to Glacier for long-term archival, ensuring cost-effectiveness.
• We have installed Cloudberry Backup software. on designated systems at each office location.
• Cloudberry Backup was connected to AWS S3 buckets and Glacier vaults, establishing the backup destination.
• Backup schedules were defined within Cloudberry Backup, specifying frequency and timing for data backups.
• Backup jobs were manually initiated within Cloudberry Backup, ensuring data was regularly backed up to AWS S3 and Glacier.
• AWS IAM console was accessed to define user roles and permissions for accessing S3 buckets and Glacier vaults.
• AWS KMS was set up to manage encryption keys for data stored in S3 and Glacier, ensuring data security.
• AWS CloudWatch was configured to monitor S3 bucket and Glacier vault metrics, with alarms set up for threshold breaches.
• AWS CloudTrail was enabled to log API activity related to data storage and access, ensuring compliance and auditability.
• The Cloudberry centralized management console was Implementations to monitor backup jobs and storage configurations.
• The console was used to manage backup schedules, adjust settings, and monitor overall backup status across all locations.
• We have utilized it to analyze data storage costs and identify opportunities for optimization.
• Lifecycle policies and storage configurations were adjusted based on cost analysis to maximize efficiency and minimize expenses.
Architecture diagram
