Update README.md

README.md

@@ -199,7 +199,7 @@ mockery --inpackage --all
 
 ## Benchmarks
 
-### Benchmark Configuration
+### No OPs BenchMark
 
 All these benchmarks are done in a notebook with these configuration:
 
@@ -210,21 +210,38 @@ Memory: 8 GB 1600 MHz DDR3
 ```
 The jobs are almost no-op jobs: they simply return nil. Rabbitmq , Consumer and Publisher running on same server
 
-### RabbitMQ to MongoDB Data Processing Performance Test
+#### Conclusion
 
-This repository contains a performance test script for consuming data from RabbitMQ and inserting it into MongoDB with a uniform structure. The goal of this test is to ensure that the system can handle a high message throughput rate while consuming and processing more than 10 lakh (10 million) data records within 5 minutes, with an acknowledgment rate of more than 12k messages per second and same data stored in MongoDb. The test is conducted on a MacBook with 16GB RAM, and both MongoDB and RabbitMQ are hosted locally.
+We have acheived benchmarking for 50 publisher publishing request and 1 consumer worker consuming the request at speed of 7000 request per second (concurrency=10 and PrefetchCount=100). If you want to achieve more throughput concurrency can be increased to any extent. 
 
-This screenshot provides a reference for the data acknowledgment rate from RabbitMQ and the corresponding data stored in MongoDB during the performance test.
+### Task with MongoDB Data Insert Performance Test
 
-![Ack Rate](https://github.com/manishjha1991/paota/blob/performance-mongodb-ack-rate/docs/images/ackrate.png?raw=true)
+This performance test was conducted to evaluate the throughput and processing capabilities of the system using Paota to consume data from RabbitMQ and insert it into MongoDB.
 
+#### Test Setup
 
+```bash
+System Specs: MacBook with 16GB RAM
+Local Hosted Services: RabbitMQ, MongoDB
+```
 
+#### Results
 
-![MonGoDb](https://github.com/manishjha1991/paota/blob/performance-mongodb-ack-rate/docs/images/mongodbRecord.png?raw=true)
+##### Message Throughput
+Throughput Rate: 12k messages per second.
 
-### Conclusion
-We have acheived benchmarking for 50 publisher publishing request and 1 consumer worker consuming the request at speed of 7000 request per second (concurrency=10 and PrefetchCount=100). If you want to achieve more throughput concurrency can be increased to any extent. 
+##### Data Processing
+Total Records Processed: 10 Lakh data records.
+
+##### Processing Time: Completed within 5 minutes.
+
+##### Acknowledgment Rate: More than 12k messages per second.
+
+![Ack Rate](https://github.com/manishjha1991/paota/blob/performance-mongodb-ack-rate/docs/images/ackrate.png?raw=true)
+
+##### Data Integrity: Data stored in MongoDB matches the data consumed from RabbitMQ.
+
+![MonGoDb](https://github.com/manishjha1991/paota/blob/performance-mongodb-ack-rate/docs/images/mongodbRecord.png?raw=true)
 
 Thank you for flying Paota!