Ansible vs Apache Mesos: What are the differences?
Developers describe Ansible as "Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine". 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. On the other hand, Apache Mesos is detailed as "Develop and run resource-efficient distributed systems". Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
Ansible and Apache Mesos are primarily classified as "Server Configuration and Automation" and "Cluster Management" tools respectively.
Some of the features offered by Ansible are:
- 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.
On the other hand, Apache Mesos provides the following key features:
- Fault-tolerant replicated master using ZooKeeper
- Scalability to 10,000s of nodes
- Isolation between tasks with Linux Containers
"Agentless" is the primary reason why developers consider Ansible over the competitors, whereas "Easy scaling" was stated as the key factor in picking Apache Mesos.
Ansible is an open source tool with 38.2K GitHub stars and 16K GitHub forks. Here's a link to Ansible's open source repository on GitHub.
According to the StackShare community, Ansible has a broader approval, being mentioned in 960 company stacks & 587 developers stacks; compared to Apache Mesos, which is listed in 61 company stacks and 19 developer stacks.
What is Ansible?
What is Apache Mesos?
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By 2014, the DevOps team at Lyft decided to port their infrastructure code from Puppet to Salt. At that point, the Puppet code based included around "10,000 lines of spaghetti-code,” which was unfamiliar and challenging to the relatively new members of the DevOps team.
“The DevOps team felt that the Puppet infrastructure was too difficult to pick up quickly and would be impossible to introduce to [their] developers as the tool they’d use to manage their own services.”
To determine a path forward, the team assessed both Ansible and Salt, exploring four key areas: simplicity/ease of use, maturity, performance, and community.
They found that “Salt’s execution and state module support is more mature than Ansible’s, overall,” and that “Salt was faster than Ansible for state/playbook runs.” And while both have high levels of community support, Salt exceeded expectations in terms of friendless and responsiveness to opened issues.
Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.
For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.
For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.
Currently, our most popular #programming #Language course is Python . The reason Python is so popular has to do with it's versatility, but also with its low complexity. This helps sysadmins to write scripts or simple programs to make their job less repetitive and automating things more fun. Python is also widely used to communicate with (REST) API's and for data analysis.
Ansible is the deployment tool for people who don't like deployment tools. It's close to scripting, doesn't pollute your servers with agents or centralized servers, and just makes immediate sense. The entire stack at Cloudcraft.co is orchestrated by Ansible. What does that mean? Beyond the obvious of installing packages and configuring services, Ansible coordinates all the machines into a working deployment: It adds API servers to the loadbancer pool, opens ports on the DB server for the backend servers to connect, gracefully upgrades services in a rolling fashion for zero-downtime deployments etc. And it's so easy to use, it's easier to use than doing things by hand, meaning it's a deployment tool you'll actually use every time!
Built Mesos master/slave as a cluster among serveral cloud service providers, such as Amazon web services, Google cloud engine, Joyent Elastic Container, and AliCloud, and also personal desktop.
We use Ansible to synchronize the few configuration-options we've taken on our CoreOS-Machines. This makes deployment even easier and the fact that it's Agentless made the decision even easier.
Ansible is used in both the development and production deployment process. A playbook couple with a Vagrantfile, easy deploys a local virtual machine that will mirror the setup in production.
I use Ansible to manage the configuration between all of the different pieces of equipment, and because it's agentless I can even manage things like networking devices all from one repo.
- Configuration management:
- deploy/install all web/app environments
- simple with Galaxy and playbooks.
- No need any pre-installed agent on remote servers.
Bamboo + Marathon + Mesos (+ Docker) => awesome tool set to building PaaS.