MultiCloud Classroom notes 03/Sep/2026

Run container in Docker host

# pull image (download image to local)
docker pull httpd:latest

To run a container we need a port

Types of ports in docker:

1. Static port -p <port to access>:<application port>

Ex: apache application port 80

-p 8080:80 docker images i Info → U In Use IMAGE ID DISK USAGE CONTENT SIZE EXTRA demo-ubuntu:1.0 2b4a4d589d5e 157MB 41.6MB httpd:2.4.68 979c38c2228d 177MB 47.6MB httpd:latest 979c38c2228d 177MB 47.6MB

docker run -dit –name apache2 -p 8080:80 httpd:latest

Dynamic port

docker run -dit –name tomcat -P tomcat:9.0

Stop and clean containers and images

1. Container commands

docker stop <container id>
docker rm <container id>
docker rm -f <container id>
docker rm -f $(docker ps -a -q)

Create container docker create –name tomcat2 -p 8081:8080 tomcat:9.0

Start container docker start <container id>

docker run docker create + docker start

Main fixes: grammar (“we need a port”, “To run a container”), spelling (“appllication” → “application”), the malformed nested markdown image link for rmi, and heading casing for consistency.

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Created a file, read a file Here’s the corrected content as a downloadable .md file.

Docker container basics Document·MD Message collapsed markdown

Types of S3 buckets:

Amazon S3 provides different types of buckets based on use case.

1. General Purpose bucket:

• Everyday storage needs will be stored here

Use cases:

• File storage (photo, video, audio, etc.)
• Backup and archives (VM snapshots, zip or compressed files)
• Hosting static websites

Key features:

• Extremely durable (99.999999999%)
• Scales automatically
• Supports versioning
• Replication and lifecycle policy

2. Directory bucket:

• Bucket with folders/namespaces, similar to a file system

Use cases:

• Enterprise file shares
• Applications requiring folders
  • data-product ==> Directory bucket name
    • explore ==> folder/namespace
      • logs
    • discover
      • logs
    • databases-cache
      • logs
  • Support operations

Key features:

• Organizes objects like directory/subdirectory
• Easily manage workloads

3. Table bucket

• This bucket is optimized for tabular data
• Like CSV, Excel, and JSON kind of files

Key features:

• Schema-aware storage (name, age, blood group, location, college, etc.)
• Enables filtering and scanning large data

4. Vector bucket:

• Special bucket for storing vector embedding data

Use cases:

• ML ops / AI work
• Storing ML models

Key features:

• Supports high-dimension vector storage
• Integrates with AI/ML frameworks

aws s3api create-bucket --bucket amzn-qt-s3-demo-bucket --region us-east-1

md file

Created a file, read a file Here’s your .md file.

S3 bucket types Document·MD

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Claude is AI and can make mistakes.

S3 bucket types · MD

Types of S3 buckets:

Amazon S3 provides different types of buckets based on use case.

1. General Purpose bucket:

• Everyday storage needs will be stored here Use cases:
• File storage (photo, video, audio, etc.)
• Backup and archives (VM snapshots, zip or compressed files)
• Hosting static websites Key features:
• Extremely durable (99.999999999%)
• Scales automatically
• Supports versioning
• Replication and lifecycle policy

2. Directory bucket:

• Bucket with folders/namespaces, similar to a file system Use cases:
• Enterprise file shares
• Applications requiring folders
  • data-product ==> Directory bucket name
    • explore ==> folder/namespace
      • logs
    • discover
      • logs
    • databases-cache
      • logs
  • Support operations Key features:
• Organizes objects like directory/subdirectory
• Easily manage workloads

3. Table bucket

• This bucket is optimized for tabular data
• Like CSV, Excel, and JSON kind of files Key features:
• Schema-aware storage (name, age, blood group, location, college, etc.)
• Enables filtering and scanning large data

4. Vector bucket:

• Special bucket for storing vector embedding data Use cases:
• ML ops / AI work
• Storing ML models Key features:
• Supports high-dimension vector storage
• Integrates with AI/ML frameworks

aws s3api create-bucket --bucket amzn-qt-s3-demo-bucket --region us-east-1