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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. Apache Aurora vs Git

Apache Aurora vs Git

OverviewDecisionsComparisonAlternatives

Overview

Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0
Git
Git
Stacks343.7K
Followers184.2K
Votes6.6K
GitHub Stars57.1K
Forks26.9K

Apache Aurora vs Git: What are the differences?

# Introduction

1. **Scalability**: Apache Aurora is designed for managing long-running services and cron jobs while Git is a distributed version control system primarily used for software development, focusing on tracking changes in source code files. The scalability requirements and usage scenarios for these tools are different, making Apache Aurora more suitable for large-scale service orchestration compared to Git's focus on code versioning.
   
2. **Resource Management**: Apache Aurora provides a higher level of resource management capabilities by allowing users to define resource requirements for tasks, prioritize them, and efficiently manage the allocation of resources. In contrast, Git does not provide resource management features as its primary function is to track changes in code repositories rather than manage resource utilization for tasks.

3. **Fault Tolerance**: Apache Aurora offers built-in fault tolerance features such as job retries, task rescheduling, and automatic healing to ensure high availability and reliability of managed services. Git, on the other hand, does not provide fault tolerance mechanisms natively, as its core purpose is to track changes and facilitate collaboration among developers rather than handle fault recovery for running services.

4. **Dynamic Configuration**: Apache Aurora allows users to dynamically configure and update the settings of running tasks without interrupting service availability, enabling easy scale-out and configuration changes. Git focuses on static configuration management by tracking changes in configuration files within code repositories, which are typically applied at deployment time rather than dynamically adjusted during runtime.

5. **Task Scheduling**: Apache Aurora offers robust task scheduling capabilities, including cron-like scheduling for recurring tasks, fine-grained control over task execution, and dependency management between tasks. Git does not have built-in task scheduling features as it is primarily focused on versioning code files and does not handle the scheduling and execution of tasks or services.

6. **API Integrations**: Apache Aurora provides a RESTful API for interacting with the system programmatically, allowing automation and integration with external tools and services. Git offers APIs for interacting with repositories and performing version control operations but does not provide the same level of API support for managing tasks, scheduling jobs, and resource allocation like Apache Aurora.

# Summary

In Summary, Apache Aurora and Git differ in their focus on scalability, resource management, fault tolerance, dynamic configuration, task scheduling, and API integrations, catering to distinct use cases in service orchestration and code versioning, respectively.

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Advice on Apache Aurora, Git

Kamaldeep
Kamaldeep

CEO at Zhoustify Agency

Nov 13, 2020

Decided

SVN is much simpler than git for the simple stuff (checking in files and updating them when everyone's online), and much more complex than git for the complicated stuff (branching and merging). Or put another way, git's learning curve is steep up front, and then increases moderately as you do weird things; SVN's learning curve is very shallow up front and then increases rapidly.

If you're storing large files, if you're not branching, if you're not storing source code, and if your team is happy with SVN and the workflow you have, I'd say you should stay on SVN.

If you're writing source code with a relatively modern development practice (developers doing local builds and tests, pre-commit code reviews, preferably automated testing, preferably some amount of open-source code), you should move to git for two reasons: first, this style of working inherently requires frequent branching and merging, and second, your ability to interact with outside projects is easier if you're all comfortable with git instead of snapshotting the outside project into SVN.

83.3k views83.3k
Comments

Detailed Comparison

Apache Aurora
Apache Aurora
Git
Git

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

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.

Deployment and scheduling of jobs;The abstraction a “job” to bundle and manage Mesos tasks;A rich DSL to define services;Health checking;Failure domain diversity;Instant provisioning
-
Statistics
GitHub Stars
-
GitHub Stars
57.1K
GitHub Forks
-
GitHub Forks
26.9K
Stacks
69
Stacks
343.7K
Followers
96
Followers
184.2K
Votes
0
Votes
6.6K
Pros & Cons
No community feedback yet
Pros
  • 1429
    Distributed version control system
  • 1053
    Efficient branching and merging
  • 959
    Fast
  • 843
    Open source
  • 726
    Better than svn
Cons
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
Integrations
Apache Mesos
Apache Mesos
Vagrant
Vagrant
No integrations available

What are some alternatives to Apache Aurora, Git?

Mercurial

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.

SVN (Subversion)

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.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Plastic SCM

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.

Pijul

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.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

DVC

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.

Magit

Magit

It is an interface to the version control system Git, implemented as an Emacs package. It aspires to be a complete Git porcelain. While we cannot (yet) claim that it wraps and improves upon each and every Git command, it is complete enough to allow even experienced Git users to perform almost all of their daily version control tasks directly from within Emacs. While many fine Git clients exist, only deserve to be called porcelains.

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