Best 5 cloud automation tools in 2023 [Updated]

cloud automation

Cloud automation is a software solution that enables the developers and the IT team to install, configure and manage cloud computing services. Thus, it allows businesses to choose the right amount of resources required for cloud computing.

Cloud computing’s main goal is to provide services on demand. However, someone must create, continuously monitor, and delete them when they are no longer required. It may necessitate a significant amount of manual labor.

Infrastructure as a code is at the heart of cloud automation. Cloud automation processes and tools use the resource pools from the cloud to create common configuration items like virtual machines, virtual private networks, and containers. These configuration items can be used to create and deploy instances.

A cloud automation template, for example, can be used to create a specific number of containers for a microservices application—it can also be used to connect storage and a database, configure virtual networks, and create load balancers. Aside from deployment, cloud automation can manage workloads and monitor application and workload performance.

This post presents the top five cloud automation tools.

1. AWS CloudFormation

The Amazon Web Services CloudFormation tools provide administrators and developers with a simple method to build a set of related resources, supply and upgrade them in an organized and predictable manner. CloudFormation offers sample templates, or we can build our templates to represent AWS tools, relevant dependencies on our device. Upon implementing the AWS tools, we can change and upgrade them in a managed and consistent manner, effectively adding version control for AWS infrastructure.

2. Kubernetes

At its core, Kubernetes is a containerized software that runs and manages a community of machines. It was created using methods that ensure the predictability, scalability, and high availability of containerized applications and services over their entire lifecycle. As a Kubernetes user, you get to decide how your apps work and interact with other apps and the outside world. To test functionality or rollback problems, you can update or uninstall your services, update gracefully, and transfer traffic between different versions of your apps. Kubernetes provides primitive interfaces and platform compostables that allow you to define and manage your application with a high level of flexibility, power, and confidence.

3. Puppet

Puppet is an open-source configuration management tool for private, public, and hybrid clouds. Puppet DSL, its configuration language, is available (domain-specific language). A DSL is used to define system configurations and Infrastructure as Code. Puppet enterprise manages and executes commands across multiple devices using a task-based approach. It provides a graphical user interface (GUI) for classifying and managing all cloud machines that have been deployed. The architecture of Puppet is master-slave. The secure socket layer connects the client and server.

4. Terraform

Terraform, a HashiCorp tool, aids in providing infrastructure as code. To provision a data center infrastructure, HashiCorp configuration Language is used. Used a tool to efficiently version, build, and change infrastructure. Terraform uses custom in-house solutions to manage many existing service providers. Developers can extend Terraform by writing new plugins or modifying existing ones thanks to Terraform’s plugin-based architecture.

5. SaltStack

SaltStack is a cloud automation tool that automates configuration and deployment using Infrastructure as Code. It’s a python-based open-source application for remote execution, configuration management, and cloud control. Salt works with various cloud platforms, including Azure, AWS, OpenStack, IBM Cloud, and VMware. Salt Stack uses a central repository to provision servers and infrastructure. SaltStack has a highly modular design that allows it to work with various servers, from local network systems to data centers. It employs a simple client-server architecture, with multiple daemons cooperating.