Company overview
Leading EdTech Company based out of New Delhi, India runs e-learning web portals and mobile apps for students and teachers. They specialize in enhancing organizational performance by the effective and efficient applications of advanced technology and outsourcing solutions for our clients. Their goal is to not only solve short-term business and technology problems for our clients, but to create latest competitive advantages that drive future growth and success.
Problem Statement
Due to rapid growth of End Users, company was facing huge scaling challenges. Their application hits 80,000-90,000 users in 1 hour, during exam times it reaches up to 400,000 active users everyday which causes latency issues to the end users. There were 30 virtual Machines which needs to be migrated from On-Prem Data Center to AWS cloud.
Below is the snapshot of existing infrastructure which we migrated to Amazon cloud.
1.) Number of virtual Machines: 28-30.
2.) Migrated Production environment with 6-7 live websites and Mobile Applications.
3.) Database details: 3 databases instances, 2 Databases were configured together in high availability DRBD mode. Configuration is 18 vCPU and 120GB RAM.
4.)one more server acting as Slave MySQL server. Redash 1 was connected to this Slave server which we use for internal reporting.
5.) Daily Active users: 200,000- 300,000 and 400,000 during Exam time
Our Solution
Converg-IN Designed An Innovative Approach Working With Multiple Touch Points From Application Team And Customer’s In-house Infrastructure Team.
The Company Has Used A Multi-tier Deployment Strategy In This Solution. This Strategy Has Ensured High Availability Of This Application And As A Result, The Company Is Able To Ensure Business Continuity For Its Customer Base.
Improving Performance With Amazon Elasticache By:
Customer’s Main Purpose For This Migration Was Application’s Availability To The Students And To Reduce Latency.
Converg-IN Implemented Aws Managed Service Elasticache. By Using This, The Result Is Blazing Fast Performance With Average Read Or Write Operations Taking Less Than One Millisecond.
This Setup Support For Hundreds Of Millions Of Operations Per Second.
Also, We Have Not Only Configured Fully Managed Inmemory Service But Also Deployed It On Each Ec2 Servers To Enhance Performance And Availability.
We Were Able To Reduce Latency By Four Times And Achieved 99.95% Uptime.
Supporting Ec2 Workloads With 50+ Virtual Machines
Before The Migration, Customer Had To Manually Monitor Whether The Configuration Of The Vms Configured As Per The Requirements, Especially With Database Servers.
We Have Used Rds For The Database And Used Asg For Autoscaling.
Converg-IN Right-sized Instances For Optimal Compute Versus Cost.
Successfully Deployed App-integrated Amazon Cloudwatch Stack For Monitoring. When Traffic Exceeds The 65 Percent Threshold, Autoscaling Provisions Additional Resources, Which Ensures Customer Remains Highly Available And Durable Regardless Of High Traffic.
Migration Benefits
- Achieves 99.99% Uptime For Mission-critical Application
- Auto Scale Instances When 60% Threshold Is Exceeded
- Increased Performance And Reduced Latency With Amazon Elasticache.
- Rightsized Instances For Optimal Compute Cost.
- Automatic Backups With Rds.
- Decrease Infrastructure Administrative Cost.
- Receives Technical Support Within Minutes Of Raising The Query.
Outcome/Roadmap ahead
This AWS Cloud solution deployment by Converg-IN is driving a lot of cost optimization.
driving a lot of improvement in the company’s productivity with the help of right sizing its application requirements and delivering business flexibility.
With this Migration, Converg-IN has also increased stability and availability of the company’s network and made provisions for automated scaling to avoid any future issues related to scalability.
Seamless cloud infrastructure performance is also helping Customer to have better business manageability for this businesscritical application.
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