One of our clients experienced occasional traffic spikes where a high number of concurrent users accessed the website simultaneously, causing performance issues and downtime.
One of our clients experienced occasional traffic spikes where a high number of concurrent users accessed the website simultaneously, causing performance issues and downtime.
Since these traffic spikes were infrequent, permanently upgrading the infrastructure was not a cost-effective solution.
Our team designed and implemented an AWS auto-scaling architecture that automatically increases server capacity when traffic rises and reduces infrastructure when demand returns to normal.
Result: Improved website reliability during peak traffic while keeping infrastructure costs under control.
Traffic Spikes → Website Downtime → AWS Auto Scaling → Automatic Instance Scaling → Improved Reliability & Cost Optimization
We analyzed the client’s infrastructure and identified that the existing setup was not designed to efficiently handle sudden increases in concurrent users.
The key challenges included:
Based on the analysis, we determined that an AWS-based auto-scaling architecture would provide a more flexible and cost-effective solution.
The primary issue was the lack of dynamic infrastructure scaling.
The existing infrastructure was sized for normal traffic and could not automatically add additional resources when traffic suddenly increased.
Because these traffic spikes occurred only occasionally, maintaining larger servers permanently would result in unnecessary infrastructure costs during normal traffic periods.
We designed and implemented an AWS architecture capable of automatically adjusting resources based on website demand.
Configured AWS Elastic Beanstalk to manage the application environment and support automatic scaling.
Implemented a Load Balancer with Auto Scaling to distribute incoming traffic and automatically launch additional application instances when demand increases.
Reduced the size of the always-on server infrastructure to avoid unnecessary costs during normal traffic periods.
Migrated the database to Amazon RDS(Relational Database Service), allowing multiple application instances to connect to a centralized database.
Configured the environment to automatically launch additional instances during traffic surges and terminate unnecessary instances when demand decreases.
The new AWS architecture enabled the website to dynamically respond to changes in traffic.
During normal traffic, the infrastructure operates with a smaller baseline configuration. When traffic increases, additional application instances are automatically launched to handle the increased demand.
Once traffic returns to normal levels, unnecessary instances are terminated.
Better reliability during peak traffic, improved scalability, and controlled infrastructure costs.
Client Challenge: Website downtime during occasional traffic spikes
Traffic Volume: High Concurrency simultaneous users during peak periods
Root Cause: Infrastructure was not dynamically scaling with demand
Solution: AWS Elastic Beanstalk + Load Balancer + Auto Scaling
Database: Migrated to Amazon RDS for centralized database access
Scalability: Application instances automatically scale based on demand
Cost Optimization: Reduced always-on infrastructure and avoided unnecessary permanent scaling
Business Impact: Improved reliability during traffic spikes while keeping infrastructure costs under control
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