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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Ambari vs Ansible

Ambari vs Ansible

OverviewDecisionsComparisonAlternatives

Overview

Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K
Ambari
Ambari
Stacks44
Followers74
Votes2

Ambari vs Ansible: What are the differences?

## Introduction

Key differences between Ambari and Ansible are outlined below:

1. **Functionality**: Ambari is a cluster management tool specifically designed for Apache Hadoop, providing features like monitoring, provisioning, and managing Hadoop clusters. On the other hand, Ansible is a configuration management tool that automates software provisioning, configuration management, and application deployment.

2. **Agent-Based vs. Agentless**: Ambari relies on agents running on each node in the cluster to perform tasks, while Ansible follows an agentless approach, using SSH to communicate with nodes and execute tasks remotely. This can simplify the setup process and minimize potential security vulnerabilities in Ansible.

3. **Language**: Ansible playbooks are written in YAML, which is human-readable and easy to understand, making it accessible to a wider range of users. In contrast, Ambari uses a web-based interface and RESTful APIs for cluster management tasks, requiring a different learning curve for users.

4. **Scalability**: Ambari is optimized for managing large Hadoop clusters, offering scalability and efficiency in handling complex cluster configurations and workflows. Ansible, on the other hand, is suitable for managing infrastructure of any size, enabling automation of tasks across multiple servers or nodes efficiently.

5. **Community Support**: Ansible boasts a large and active community, providing a wide range of community-developed modules, playbooks, and best practices for automation tasks. While Ambari has community and enterprise support, it may not have the same level of extensive community resources available for users.

6. **Integration**: Ansible can integrate with a variety of tools and platforms, making it versatile for automation tasks across different environments. Ambari, being more focused on Hadoop cluster management, may have limited integration capabilities with other non-Hadoop tools or systems. 

In Summary, the key differences between Ambari and Ansible lie in their functionality, approach to agent communication, language, scalability, community support, and integration capabilities.

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Advice on Ansible, Ambari

Anonymous
Anonymous

Sep 17, 2019

Needs advice

I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)

I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.

The most important factors for me are simplicity, ease of use, shortest learning curve.

329k views329k
Comments

Detailed Comparison

Ansible
Ansible
Ambari
Ambari

Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.

This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.

Ansible's natural automation language allows sysadmins, developers, and IT managers to complete automation projects in hours, not weeks.;Ansible uses SSH by default instead of requiring agents everywhere. Avoid extra open ports, improve security, eliminate "managing the management", and reclaim CPU cycles.;Ansible automates app deployment, configuration management, workflow orchestration, and even cloud provisioning all from one system.
Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
Statistics
GitHub Stars
66.9K
GitHub Stars
-
GitHub Forks
24.1K
GitHub Forks
-
Stacks
19.5K
Stacks
44
Followers
15.6K
Followers
74
Votes
1.3K
Votes
2
Pros & Cons
Pros
  • 284
    Agentless
  • 210
    Great configuration
  • 199
    Simple
  • 176
    Powerful
  • 155
    Easy to learn
Cons
  • 8
    Dangerous
  • 5
    Hard to install
  • 3
    Doesn't Run on Windows
  • 3
    Backward compatibility
  • 3
    Bloated
Pros
  • 2
    Ease of use
Integrations
Nexmo
Nexmo
Stackdriver
Stackdriver
VMware vSphere
VMware vSphere
Docker
Docker
OpenStack
OpenStack
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Google Compute Engine
Google Compute Engine
New Relic
New Relic
PagerDuty
PagerDuty
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian

What are some alternatives to Ansible, Ambari?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Terraform

Terraform

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

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