Amazon S3 Interview Questions | Expected Questions on S3

[@komalkhiratkar3830]

Thank you sir. Best video on UA-cam for S3.

[@Timingtraderofficial]

Really impressed. your teaching method is very simple with real example , it's easy to understand. thanks

[@avizway]

Glad it was helpful, Keep Learning and good luck.! 🍀

[@Palnadu_Tiger]

Thanks sir helpfull every one this video ### sir Demo do a one video ## How to resume shortlist explain sir $$$

[@piyushtripathi6401]

Thanks for providing these helpful videos, please provide on Lambda function,cloud watch, cloud trails,ALB,Route 53 .. waiting for these

[@avizway]

Sure, ALB, Cloudwatch is already part of EC2 video, Cloudtrail is part of monitoring video

[@himanshusinghtomer2287]

Your content is gem , pleease create more but in english please

[@avizway]

Thank you and Sure, Will do.

[@piyushtripathi6401]

Thanks for creating on S3 . Please provide same on other services like Lambda, ELB..

[@pavangurijala5083]

Thank you sir

[@studentsutra862]

Consider a scenario where whenever a new s3 bucket is created, the lifecycle rule should get automatically implemented on it. How to achieve this ?

[@avizway]

You can use AWS Config service. Please refer config video
ua-cam.com/video/W2O23iJ2gMo/v-deo.html

[@NAMA24272]

can you help me to understand this question if possible with steps
Describe a scenario where you had to optimize S3 performance for a high-traffic application. What steps did you take?

[@kiddyshorts4349]

### Story: Optimizing PhotoShare
#### Background:
Sarah is a software engineer working for a popular photo-sharing app called PhotoShare. The app allows users to upload and share their photos with friends and family. Recently, PhotoShare has seen a massive increase in traffic, especially during weekends and holidays when users are more active. Sarah's goal is to optimize the S3 performance to handle this high traffic efficiently.
#### Initial Setup:
PhotoShare stores all user-uploaded photos in an Amazon S3 bucket. The app retrieves these photos from S3 whenever users view them. However, as the traffic increases, users start experiencing delays when uploading and viewing photos.
#### Challenges:
1. **High Latency**: Users are experiencing delays when uploading and viewing photos.
2. **Increased Costs**: The increased traffic is leading to higher costs.
3. **Scalability Issues**: The current setup is struggling to handle peak traffic times.
#### Steps Sarah Takes to Optimize S3 Performance:
1. **Revising Object Key Design**:
- **Problem**: The object keys are sequentially named based on timestamps (e.g., `2023-10-01-photo.jpg`), leading to "hot" partitions.
- **Solution**: Sarah decides to use a hash-based prefix for the object keys to distribute the load more evenly.
- **Implementation**: She updates the app to use a hash of the user ID as a prefix (e.g., `a1b2c3-2023-10-01-photo.jpg`).
2. **Enabling S3 Transfer Acceleration**:
- **Problem**: Users from different parts of the world are experiencing high latency.
- **Solution**: Sarah enables S3 Transfer Acceleration to speed up uploads and downloads by routing traffic through Amazon CloudFront’s edge locations.
- **Implementation**: She updates the app to use the accelerated endpoint for the S3 bucket (`mybucket.s3-accelerate.amazonaws.com`).
3. **Using Multipart Uploads**:
- **Problem**: Large photo uploads are taking too long and sometimes failing.
- **Solution**: Sarah implements multipart uploads to break large files into smaller parts and upload them in parallel.
- **Implementation**: She uses the AWS SDK to handle multipart uploads in the app.
4. **Implementing a CDN with CloudFront**:
- **Problem**: High latency when retrieving photos for viewing.
- **Solution**: Sarah sets up a CloudFront distribution with the S3 bucket as the origin to cache photos closer to users.
- **Implementation**: She configures the CloudFront distribution and updates the app to serve photos from the CloudFront URL.
5. **Monitoring and Analyzing Performance**:
- **Problem**: Lack of visibility into S3 performance metrics.
- **Solution**: Sarah sets up Amazon CloudWatch to monitor key metrics like `FirstByteLatency` and `TotalRequestLatency`.
- **Implementation**: She creates CloudWatch dashboards and sets up alarms to notify her when latency exceeds acceptable thresholds.
#### Outcome:
After implementing these optimizations, Sarah notices significant improvements:
- **Reduced Latency**: Users experience faster uploads and quicker photo loading times.
- **Cost Efficiency**: By using CloudFront and optimizing S3 requests, the overall costs are reduced.
- **Scalability**: The app can now handle peak traffic times without performance degradation.
#### Example Implementation:
Here’s a simplified example of how Sarah might implement multipart uploads using the AWS SDK for Python (Boto3):
```python
import boto3
from botocore.config import Config
# Initialize S3 client with Transfer Acceleration
s3_client = boto3.client('s3', config=Config(s3={'use_accelerate_endpoint': True}))
# Multipart upload example
def multipart_upload(bucket_name, file_path, object_name):
# Initiate the multipart upload
multipart_upload = s3_client.create_multipart_upload(Bucket=bucket_name, Key=object_name)
upload_id = multipart_upload['UploadId']
# Upload parts
part_size = 5 * 1024 * 1024 # 5MB
parts = []
with open(file_path, 'rb') as f:
part_number = 1
while (chunk := f.read(part_size)):
response = s3_client.upload_part(
Bucket=bucket_name,
Key=object_name,
PartNumber=part_number,
UploadId=upload_id,
Body=chunk
)
parts.append({'ETag': response['ETag'], 'PartNumber': part_number})
part_number += 1
# Complete the multipart upload
s3_client.complete_multipart_upload(
Bucket=bucket_name,
Key=object_name,
MultipartUpload={'Parts': parts},
UploadId=upload_id
)
# Example usage
multipart_upload('mybucket', 'path/to/photo.jpg', 'a1b2c3-photo.jpg')
```
By following these steps, Sarah successfully optimizes the S3 performance for PhotoShare, ensuring a smooth and enjoyable experience for millions of users worldwide.