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  5. BFE vs Traefik

BFE vs Traefik

OverviewComparisonAlternatives

Overview

Traefik
Traefik
Stacks965
Followers1.2K
Votes93
BFE
BFE
Stacks2
Followers6
Votes0

BFE vs Traefik: What are the differences?

Introduction

In the world of container orchestration, two popular tools, BFE and Traefik, provide different functionalities and features for managing network traffic efficiently. Understanding the key differences between these two tools is essential for making an informed decision on which one to use for your specific needs.

  1. Load Balancing Approach: BFE utilizes a Layer 7 load balancing approach, which allows for more intelligent routing decisions based on application layer data such as HTTP headers and cookies. On the other hand, Traefik primarily focuses on Layer 4 load balancing, which is based on network and transport layer protocols such as TCP and UDP. This difference in load balancing approach can have implications on the flexibility and performance of network traffic management.

  2. Service Discovery Integration: BFE comes with built-in support for service discovery tools such as Consul and Etcd, enabling seamless integration with dynamic environments where services are constantly being added or removed. Conversely, Traefik offers plugins and integrations with various service discovery mechanisms like Kubernetes and Docker Swarm, giving users the flexibility to choose the best tool for their specific infrastructure setup.

  3. HTTP Routing Features: Traefik excels in providing advanced HTTP routing capabilities such as Path-based routing, Host-based routing, and URL rewrites out of the box, making it a preferred choice for environments with complex routing requirements. On the other hand, BFE focuses more on high-performance, low-latency HTTP request processing, catering to use cases that prioritize speed and efficiency over intricate routing configurations.

  4. Configuration Flexibility: While both BFE and Traefik offer configuration through YAML or TOML files, Traefik provides a dashboard interface that allows users to manage and monitor their configurations in real-time. This graphical interface can be advantageous for users who prefer visual tools for managing configurations and troubleshooting network issues.

  5. TLS Termination: Traefik offers built-in support for TLS termination, enabling users to easily manage SSL certificates and secure their network traffic without additional configuration. In contrast, BFE requires manual configuration for TLS termination, which may be suitable for users who require more control over their security implementations.

  6. Community Support: Traefik boasts a larger and more active community of users and contributors, providing a wealth of resources, forums, and tutorials for users to troubleshoot issues and stay updated on the latest features. BFE, while also having an active community, may have fewer resources available in comparison, which could impact the ease of adoption and support for users.

In Summary, understanding the key differences between BFE and Traefik in load balancing approach, service discovery integration, HTTP routing features, configuration flexibility, TLS termination, and community support is crucial for selecting the right tool for your container orchestration needs.

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Detailed Comparison

Traefik
Traefik
BFE
BFE

A modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components and configures itself automatically and dynamically.

It is an open-source layer 7 load balancer derived from proprietary Baidu FrontEnd. It supports multiple protocols , including HTTP,HTTPS, SPDY, HTTP2, WebSocket, TLS, etc. And it supports multiple load balancing policies.

Continuously updates its configuration (No restarts!); Supports multiple load balancing algorithms; Provides HTTPS to your microservices by leveraging Let's Encrypt (wildcard certificates support); Circuit breakers, retry; High Availability with cluster mode; See the magic through its clean web UI; Websocket, HTTP/2, GRPC ready; Provides metrics; Keeps access logs; Fast; Exposes a Rest API
Multiple protocols supported, including HTTP, HTTPS, SPDY, HTTP2, WebSocket, TLS, etc; Content based routing, support user-defined routing rule in advanced domain-specific language; Support multiple load balancing policies; Flexible plugin framework to extend functionality. Based on the framework, developer can add new features rapidly; Detailed built-in metrics available for service status monitor
Statistics
Stacks
965
Stacks
2
Followers
1.2K
Followers
6
Votes
93
Votes
0
Pros & Cons
Pros
  • 20
    Kubernetes integration
  • 18
    Watch service discovery updates
  • 14
    Letsencrypt support
  • 13
    Swarm integration
  • 12
    Several backends
Cons
  • 7
    Complicated setup
  • 7
    Not very performant (fast)
No community feedback yet
Integrations
Marathon
Marathon
InfluxDB
InfluxDB
Kubernetes
Kubernetes
Docker
Docker
gRPC
gRPC
Let's Encrypt
Let's Encrypt
Google Kubernetes Engine
Google Kubernetes Engine
Consul
Consul
StatsD
StatsD
Docker Swarm
Docker Swarm
No integrations available

What are some alternatives to Traefik, BFE?

HAProxy

HAProxy

HAProxy (High Availability Proxy) is a free, very fast and reliable solution offering high availability, load balancing, and proxying for TCP and HTTP-based applications.

AWS Elastic Load Balancing (ELB)

AWS Elastic Load Balancing (ELB)

With Elastic Load Balancing, you can add and remove EC2 instances as your needs change without disrupting the overall flow of information. If one EC2 instance fails, Elastic Load Balancing automatically reroutes the traffic to the remaining running EC2 instances. If the failed EC2 instance is restored, Elastic Load Balancing restores the traffic to that instance. Elastic Load Balancing offers clients a single point of contact, and it can also serve as the first line of defense against attacks on your network. You can offload the work of encryption and decryption to Elastic Load Balancing, so your servers can focus on their main task.

Fly

Fly

Deploy apps through our global load balancer with minimal shenanigans. All Fly-enabled applications get free SSL certificates, accept traffic through our global network of datacenters, and encrypt all traffic from visitors through to application servers.

Envoy

Envoy

Originally built at Lyft, Envoy is a high performance C++ distributed proxy designed for single services and applications, as well as a communication bus and “universal data plane” designed for large microservice “service mesh” architectures.

Hipache

Hipache

Hipache is a distributed proxy designed to route high volumes of http and websocket traffic to unusually large numbers of virtual hosts, in a highly dynamic topology where backends are added and removed several times per second. It is particularly well-suited for PaaS (platform-as-a-service) and other environments that are both business-critical and multi-tenant.

node-http-proxy

node-http-proxy

node-http-proxy is an HTTP programmable proxying library that supports websockets. It is suitable for implementing components such as proxies and load balancers.

Modern DDoS Protection & Edge Security Platform

Modern DDoS Protection & Edge Security Platform

Protect and accelerate your apps with Trafficmind’s global edge — DDoS defense, WAF, API security, CDN/DNS, 99.99% uptime and 24/7 expert team.

DigitalOcean Load Balancer

DigitalOcean Load Balancer

Load Balancers are a highly available, fully-managed service that work right out of the box and can be deployed as fast as a Droplet. Load Balancers distribute incoming traffic across your infrastructure to increase your application's availability.

F5 BIG-IP

F5 BIG-IP

It ensures that applications are always secure and perform the way they should. You get built-in security, traffic management, and performance application services, whether your applications live in a private data center or in the cloud.

Google Cloud Load Balancing

Google Cloud Load Balancing

You can scale your applications on Google Compute Engine from zero to full-throttle with it, with no pre-warming needed. You can distribute your load-balanced compute resources in single or multiple regions, close to your users and to meet your high availability requirements.

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