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Challenges:
Facing latency problems when the heavy load on the server.
Facing challenges in automation on Windows instances.
Require to configure CI/CD pipeline for the automation.
The major challenge was to deliver the videos with minimum possible latency and ease of management.
Due to S3 Bucket Naming conversion is in alpha-numeric order, so caching is not done properly in CDN.
Customer challenges to configure cloud formation.
Facing issues to upload files more than 1 GB through the application.
Solution to Meet Challenges
Configured Auto-scaling in windows, to increase performance scale out and keeping costs under control scale in
To resolve S3 Bucket Naming conversion is in alpha-numeric order and caching issues Lamda function is designed and deployed. It will automatically convert the uploaded file into CloudFront frendly format.
Same time to convert existing uploaded video, A shell script designed and converted 10TB videos into Cloudfront frendly format.
Transcoded all videos to support ABR
Kinesis deployed to get all logs from WAF
Use Buddy Platform for creating CI/CD Pipeline for windows workload on .Net framwork
Implement a web application platform for the production. 12
Architecture Diagram
Outcomes
All latency related issues solved as such best cloud infrastructure with AWS and Load Balancer usage.
Caching issues due to alphanumeric character resolved with Lambda and Shell-Script.
Implement 3-tier architecture.
Configuration of RDS and MSSQL
When request is high it scale-out and when load is less it automatically scale-in
All AWS security best practices adopted so the solution is stable and secured.
Using R5 high bandwitdh instance resolve the issues of large file (More than 1 GB) uploads.
Deliver the WAF log in S3 using AWS kinesis.
Conclusion
Some time small part will be difficult to deionized and troubleshoot. In current case
Cloudfront frendly url (removing all non supported chara from new and existing videos)
Latency issues for large files.
All issues required carefully detection and test to resolve it.
Windows auto-scaling and CI/CD is also need some extra care to integrate third party SCM.
The full architecture behind GTU's generative AI programme: retrieval, identity, analytics and delivery, for one of India's largest public universities.
A serverless retrieval assistant over a fast-growing cybersecurity knowledge base, so analysts get an answer with its source instead of a list of documents.
Tell us what you are trying to move, modernise or automate
A short call with an AWS practice lead, not a sales qualification call. You will leave with a candid read on the work involved and the order to do it in.