Provider Mode vs Fizz Mode

This guide explains the key differences between Provider Mode and Fizz Mode in Spheron, helping developers choose the right deployment strategy for their applications.

Overview

Spheron offers two distinct deployment modes, each designed for different use cases and requirements:

Provider Mode

Enterprise-grade infrastructure
High reliability and stability
Production-ready environment
Higher resource availability
Premium features and capabilities

Fizz Mode

Consumer-grade distributed network
Cost-effective solution
Community-driven infrastructure
Suitable for testing and development
Basic feature set

Detailed Comparison

1. Networking Features

Provider Mode


# Example Provider Mode networking configuration
expose:
  - port: 3000
    as: 80  # Can map to standard HTTP/HTTPS ports
    to:
      - global: true
    accept:
      - www.yourapp.com

Supports ports 80 and 443
Built-in HTTPS with self-signed certificates
Subdomain-based access for port 80
Load balancing capabilities with multiple containers by passing more than one count
Higher bandwidth allocation

Fizz Mode


# Example Fizz Mode networking configuration
expose:
  - port: 8080  # Cannot use ports 80/443
    to:
      - global: true
  - port_range: 8443-8445  # Supports port ranges
    port_range_as: 8443-8445
    to:
      - global: true

Cannot use ports 80/443
No built-in HTTPS
Supports port ranges
Basic networking features
Variable bandwidth
Can use use_public_port to expose your service so that container ports can be exposed to ports assigned by Spheron
Can be used to deploy P2P applications and clustering applications

⚠️

When using Fizz Mode, ensure your application doesn’t rely on standard HTTP/HTTPS ports (80/443), as these are not available.

2. Resource Management

Provider Mode


# Example Provider Mode resource configuration
profiles:
  compute:
    web:
      resources:
        cpu:
          units: 4
        memory:
          size: 8Gi
        storage:
          size: 20Gi
        gpu:  # GPU support available
          units: 1
          attributes:
            vendor:
              nvidia:
                - model: t4

High resource limits
GPU support
Shared Memory (SHM) support
Consistent performance
Resource scaling options

Fizz Mode


# Example Fizz Mode resource configuration
profiles:
  compute:
    web:
      resources:
        cpu:
          units: 0.5
        memory:
          size: 1Gi
        storage:
          size: 1Gi

Limited resource availability - max 32 units of CPU, 128Gi of memory and 2000Gi of storage
Variable performance - Can have downtime if fizz node is stopped by the user
Updating resource in runtime is supported
Shared Memory (SHM) is not supported
You can change count to multiple containers in a single deployment

3. Logging and Monitoring

Provider Mode


# Real-time log following
sphnctl deployment logs --lid 123 --follow
 
# Service-specific logs
sphnctl deployment logs --lid 123 --service web

Real-time log streaming - you can follow the logs as they are generated
Advanced filtering options
Service-specific logging
Detailed event tracking - you can see all the events happening in your deployment

Fizz Mode


# Startup logs (Fizz-specific feature)
sphnctl deployment logs --lid 123 --startup
 
# Basic logs
sphnctl deployment logs --lid 123

Real-time log streaming - you can follow the logs as they are generated
Service-specific logging
Detailed event tracking - you can see all the events happening in your deployment

4. Deployment Updates

Provider Mode

Dynamic resource scaling - you can update the resource in runtime
Live environment updates - you can update the environment variables in runtime
Container image updates - you can update the container image in runtime
Zero-downtime updates - you can update the container image in runtime without downtime
Secure and more reliable - you can update the container image in runtime without downtime

Fizz Mode

Dynamic resource scaling - you can update the resource in runtime
Live environment updates - you can update the environment variables in runtime
Container image updates - you can update the container image in runtime

Best Practices

When to Use Provider Mode

Security Requirements
- HTTPS requirements
- Custom domain needs
- Compliance requirements
Resource Intensive Applications
- ML/AI workloads
- Data processing
- GPU requirements

When to Use Fizz Mode

Cost-Sensitive Projects
- MVP deployments
- Personal projects
- Learning environments
- Low-traffic applications
Distributed Applications
- Edge computing or Edge GPU computing use cases
- P2P applications
- Decentralized services

Troubleshooting Common Issues

Provider Mode Issues

Port Conflicts
- Verify port mappings
- Use port 80 or 443 for your service if you want to use subdomain-based access
Resource Allocation
- Check scaling configurations
- Verify resource requests
- Can deploy multiple GPUs for a single deployment
Deployment Not Available
- Check the Replicas if it is 0 - wait for a few minutes for deployment to pull the image and start the containers, and check again
- You can check the logs for more details using the flag --follow to see if there are any errors in the logs if the deployment is not available
- You can also check the events using sphnctl deployment events --lid <lid> to see if there are any errors in the events like pull image failure, start container failure, etc.

Fizz Mode Issues

Connectivity
- Use correct port ranges
- Check if the service is running on the correct port
- Can use use_public_port to expose your service so that container ports can be exposed to ports assigned by Spheron - this is useful for P2P applications and clustering applications
Performance
- Can deploy consumer-grade services with limited resources
- GPU deployment is limited to 1 GPU per deployment
Deployment Not Available
- If you see “Deployment details not available. No response from host.”
- Check startup logs to diagnose the issue:
```
sphnctl deployment logs --lid <deployment-id> --startup
```
- Startup logs will show the deployment initialization steps and help identify any problems