Case study | AWS
How enreap helped a leading news & media company to ensure high availability & security
- Geography: India
- Industry: News & Media
- Employees: 200+
- Solution: Cloud
- Services: Migration
The client
Praveg Limited is reckoned for its strong leadership across diverse business segments like Exhibition Management, Event Management, Tourism & Hospitality and Publication. With core strengths like independent and sophisticated infrastructure, expert and experienced manpower and in-house creative studio, Praveg has carved its niche in the industry by exhibiting its inimitable capability to deliver power-packed performance in the most challenging of assignments of national and international capacity.
Client requirements
Scalable Infrastructure
A cloud-based infrastructure on AWS that could dynamically scale resources to handle varying traffic loads without the need for upfront hardware investment.
High Availability & Security
A highly available and secure environment to ensure minimal downtime and protection from cyber threats, reducing the risk of service interruptions.
Reduced Operational Overhead
The client aimed to eliminate the burden of maintaining and updating on-premises hardware, seeking a managed, cloud-native setup that included monitoring, maintenance, and automated updates.
Our approach
Enreap proposed AWS EC2 instances based on workload requirements, with Auto Scaling for dynamic resource management and Load Balancers for handling traffic efficiently. A snapshot-based backup solution was recommended to ensure data protection and recovery.
Our solution
AWS EC2 instance
Proposed AWS EC2 instance with right instance size as per the requirement.
Autoscaling
The autoscaling group is set up between two instances along with load balance to solve the problem of scalability.
Backups
Enabled snapshot backup solution
Business benefits
- Ability to onboard additional customers smoothly
- Due to auto scaling setup even if users grow or reduce the customer experience remain unaffected.
- Ensuring cost optimization plan, the cost was reduced by 20%.
Technology stack
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