Proline Technologies Reinvents Customer Experience with a Cloud-Native Self-Service Platform on AWS
CLIENT
Proline Technologies
YEAR
2026
Overview
Proline Technologies, a leading Internet Service Provider, faced critical operational bottlenecks during monthly subscription renewal windows. By partnering with us to migrate from a legacy server-based architecture to
An AWS Serverless solution
Proline achieved 99.99% uptime during peak traffic, automated their provisioning workflows, and reduced infrastructure costs by eliminating idle resources.
The Challenge
As an ISP, Proline experiences a Thundering Herd traffic pattern. On the 1st and 30th of every month, thousands of customers attempt to renew subscriptions simultaneously.
Operational Instability
Their previous SQL-based architecture struggled to handle concurrent writes, leading to database locks, timeouts, and failed transactions.
Poor User Experience
Customers faced long loading times (as seconds) to check data balances or renew plans.
High Fixed Costs
To handle the peak usage (which only lasts 3 days), Proline had to pay for large servers that idled during the rest of the month.
The Solution: Serverless & Event-Driven
We architected a cloud-native solution utilizing AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. The core design philosophy was "Queue-Based Load Leveling" to decouple the user interface from the backend processing.
Amazon DynamoDB:
Replaced the rigid SQL database to handle high-velocity reads/writes with single-digit millisecond latency.
AWS Lambda:
Serverless compute to handle logic without managing servers.
Amazon SQS (Simple Queue Service):
Acts as a buffer to absorb traffic spikes, placing renewal bound.
DynamoDB Streams & Amazon SNS:
Automate customer notifications (SMS) only after renewal is successfully validated.
Architecture Workflow
Ingestion
When a customer initiates a plan via the mobile app, API Gateway triggers a lightweight Lambda function.
Buffering
Instead of writing to the database directly (which could overload it), the Lambda places the request to an SQS Queue (as immediately confirmed to the user).
Notification
Once the balance is credited, DynamoDB Streams detects the change and triggers an SNS call to notify the user their renewal is active.
Processing
A background Lambda worker pulls requests from the queue at a measured rate and updates DynamoDB.
Key Results & Metrics
Legacy System vs AWS Serverless Transformation
Peak Uptime
BEFORE (LEGACY) 93% (Frequent Timeouts)
AFTER (AWS SERVERLESS) 99.99% (Near Instant)
API Latency
BEFORE (LEGACY) 2-5 Seconds
AFTER (AWS SERVERLESS) < 100 Milliseconds (p99)
Cost Model
BEFORE (LEGACY) Fixed Monthly ($4)
AFTER (AWS SERVERLESS) Variable Pay-per-request
Support Tickets
BEFORE (LEGACY) High-volume regarding failed payments
AFTER (AWS SERVERLESS) Reduced by 85%
99.99%
Uptime Achieved
50x
Faster Response
85%
Fewer Tickets
Cost Savings: By moving to a serverless model, Proline eliminated the cost of running EC2 instances 24/7. They now only pay for the milliseconds of compute used during renewals, resulting in a 40% reduction in total monthly infrastructure costs.
Lessons Learned
Asynchronous is Key:
For user-facing transactions that involve heavy writing, decoupling the UI from the database using SQS ensures the app never 'freezes,' even under massive load.
Provisioned Concurrency:
For the 'Check Balance' feature, we learned that standard Lambda functions had slight 'cold start' delays. Implementing Provisioned Concurrency smoothed this out, ensuring instant responses.
Let's Discuss Your Needs
For enquiries related to our services, media opportunities, or
partnerships, please contact our team using the form below.