Git vs Traefik
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. | 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. |
| - | 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 |
Statistics | |
GitHub Stars 57.1K | GitHub Stars - |
GitHub Forks 26.9K | GitHub Forks - |
Stacks 343.6K | Stacks 965 |
Followers 184.2K | Followers 1.2K |
Votes 6.6K | Votes 93 |
Pros & Cons | |
Pros
Cons
| Pros
Cons
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Integrations | |
| No integrations available | |
What are some alternatives to Git, Traefik?
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.
Mercurial
Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.
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.
SVN (Subversion)
Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.
Plastic SCM
Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.
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.
Pijul
Pijul is a free and open source (AGPL 3) distributed version control system. Its distinctive feature is to be based on a sound theory of patches, which makes it easy to learn and use, and really distributed.
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 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.
DVC
It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.
