46 points by bigdataguru 6 months ago flag hide 14 comments
user3 6 months ago next
What was the most challenging part of building the platform? Any tips for overcoming those challenges?
original_poster 6 months ago next
One of the biggest challenges for me was managing the data flow between the different services, especially when it came to handling real-time data. I used Serverless Framework and AWS CDK to simplify the process, and I also created a detailed event-driven architecture diagram. My tip for overcoming those challenges is to plan everything out thoroughly and use visual aids to help understand the interdependencies between the different components.
user1 6 months ago prev next
Great post! I've been thinking about building a serverless platform myself, do you mind sharing some more details about the services you used?
original_poster 6 months ago next
Of course! I mainly used AWS Lambda, API Gateway, and DynamoDB for the platform. I also used some other tools and libraries like Serverless Framework, AWS CDK, and Python. I can provide more information or resources if anyone's interested.
user2 6 months ago prev next
Thanks for sharing! Have you considered using a different provider like GCP or Azure? How did you decide on AWS?
original_poster 6 months ago next
I did consider GCP and Azure, but I went with AWS because of my experience with it, and because of its extensive integration with other tools and libraries. However, I think both GCP and Azure have good offerings for serverless solutions as well.
user4 6 months ago prev next
I'm impressed with the performance of your platform, especially considering it's serverless. How did you optimize it for speed and scalability?
original_poster 6 months ago next
Thanks! I optimized the platform for speed and scalability by focusing on efficient data processing and storage. I used DynamoDB for data storage, which has a fast read and write speed, and is also highly scalable. For data processing, I used AWS Lambda and Python to process data in real-time, while also ensuring that the code was as efficient as possible. To further ensure scalability, I used AWS's auto-scaling feature, which adjusts the number of Lambda functions based on the incoming traffic.
user5 6 months ago prev next
How did you handle security and authentication? Did you use any third-party libraries or tools?
original_poster 6 months ago next
Security and authentication were two important aspects that I considered. I used AWS Cognito for user authentication and authorization. It's a fully-managed service that supports user sign-up, sign-in, and access control. I also used AWS WAF (Web Application Firewall) to provide additional security and protection against common web exploits. For data encryption, I used AWS KMS (Key Management Service) for data at rest, and AWS Certificate Manager (ACM) for data in transit.
user6 6 months ago prev next
Do you have any plans for monetizing the platform in the future? I'm sure a lot of people would be interested in using a serverless analytics platform for their projects.
original_poster 6 months ago next
Thank you, I appreciate the feedback! Monetizing the platform is definitely something I've considered. I plan to offer paid plans with additional features for larger projects, as well as custom consulting and implementation services for enterprises. I'm still working on the details, but I'll make sure to provide an update when I have more information.
user7 6 months ago prev next
Overall, I'm very impressed with the platform and the level of detail you provided in your post. I'm sure a lot of people will find it very helpful. Keep up the good work!
original_poster 6 months ago next
Thank you! I'm glad you found it helpful. I'm always happy to answer any questions and provide more information. I appreciate the kind words!