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25 Best Cloud Computing Tools in 2024

Updated on 27 April, 2017

13.34K+ views
6 min read

Cloud computing enables an organization to use on-demand IT resources and scale up or down as per their requirements. The company does not need to invest in any additional hardware or equipment or purchase physical data centers for storage and management. It means brands can market faster, deploy applications on time, and only pay for what they use. This makes the judicious and informed use of Cloud Computing Tools really important. Check out the top Cloud Computing courses online to learn about the most in-demand Cloud Computing tools used by professionals working on real-world industry projects.

What Are the Types of Cloud Computing Tools Available?

The types of Cloud computing tools depend primarily on the Cloud Service Provider (CSP) you sign up with. Most CSPs offer infrastructure, software, and other dependencies to operate applications and workloads. The main types of Cloud services which are available are:

1. On-premise

On-premise Cloud computing tools are resources which are available and specific to a single organization. These tools offer virtualized services like public clouds and greater brand infrastructure visibility.

2. IaaS

IaaS (Infrastructure as a Service) is a type of Cloud Computing service that uses a pay-as-you-go model for its subscription. It hosts virtualized computing resources online and includes networking hardware, servers, and storage. IaaS services are policy-driven and offer a range of services, such as billing, load balancing, clustering, storage resiliency, data backups, and more.

3. PaaS

PaaS (Platform as a Service) solution uses third-party service providers to deliver hardware and software tools to enterprises over the internet. Examples of PaaS services in Cloud computing are IBM Cloud, AWS, Red Hat OpenShift, and Oracle Cloud Platform (OCP).

4. SaaS

Software as a Service is a cloud hosting model where users subscribe to gain access to services instead of purchasing software or equipment. Users can install applications from anywhere in the world and use their features. Actual SaaS solutions are executed from remote locations across the world on cloud servers. To kick-start your career in cloud-computing, enroll in KnowledgeHut top Cloud Computing courses online.

List of 26 Best Cloud Computing Tools

So, what are the tools used in cloud computing? Here is a list of the top tools used in Cloud computing.

1. Amazon Web Services

Amazon Web Services (AWS) offers on-demand Cloud computing tools and APIs to enterprises that want distributed computing capabilities. It provides virtual environments in which users can load and deploy various applications and services.

Look for AWS Cloud Practitioner Essentials Training online to learn the fundamentals of AWS Cloud Computing and become an expert in handling the AWS Cloud platform.

Features:

  • Networking and Content Delivery
  • Security, Identity, and Compliance Management
  • Cloud storage and databases
  • Integrated AWS services such as Amazon AppFlow, Augmented AI, AppStream 2.0, and more

2. Google App Engine

Google App Engine is a scalable virtual environment that lets organizations deploy and execute applications. It can be used for testing, high-performance web development, and infrastructure maintenance.

Features:

  • Traffic splitting and faster time to market products
  • Pay-as-you-go subscription
  • Support for Python, PHP, .NET, JAVA, and C#
  • Real-time Cloud monitoring and Cloud logging

3. CloudHub

CloudHub is a fully managed Cloud service that enables the deployment of cross-cloud integrated applications, and lets users create new API workflows.

Features:

  • Multi-tenant, elastic, and secure
  • Runtime Manager Console
  • Highly available and connects to third-party apps and services

4. Cloudability

Cloudability analyzes financial expenses in organizations and helps find opportunities for reducing costs and improving revenue growth and provides budget reports.

Features:

  • Secure API integration and multi-cloud tracking
  • Real-time sync and compliance management
  • Dashboard analytics
  • Offers Pro and Enterprise subscription plans

5. Cloudyn

Cloudyn gives a detailed overview of its databases, computing prowess, and data storage capabilities. It offers control panel views and prevents users from over-purchasing Amazon Cloud resources.

Features:

  • Effective Cost Analysis
  • Simple UI and intuitive dashboards
  • Usage Trend and Resource Cost Analytics
  • Gives Recommendations for unused resources, downscaling, relocation, and reallocations

6. Informatica

Informatica is a leading industry tool used for extracting, transforming, and cleaning up raw data.

Features:

  • Gives accurate insights and transforms raw data
  • Good data maintenance and monitoring
  • Automated deployments
  • Can execute multiple processes simultaneously

7. Chef

Chef is used to configure virtual systems and automate manual work in Cloud environments.

Features:

  • Data backup and recovery services
  • Compliance reporting and security audits
  • Infrastructure scanning
  • Automated notifications and alerts across multiple platforms
  • High on-premise availability and continuous delivery
  • Automated testing
  • Code reviews

8. Puppet

Puppet automates repetitive tasks and rapidly deploys critical apps and services.

Features:

  • Compliance reporting
  • Open-source and scalable
  • Patch updates
  • Application configuration management

9. AtomSphere

AtomSphere integrates its features with other Cloud applications and is a multi-tenant solution that runs as a single instance.

Features:

  • Drag and drop workflows
  • Huge range of connectors
  • Scalable, always available, and offers high performance

10. RightScale

RightScale allows easy deployment of applications in public, private, and hybrid clouds.

Features:

  • Good governance controls
  • Highly scalable and multi-cloud
  • Migrates workloads and offers Cloud data monitoring

11. Enstratius

Enstratius offers cross-stage cloud infrastructure facilities across public, private, and hybrid cloud environments.

Features:

  • Self-service provisioning and a single login for managing all cloud resources
  • Role-based customizable access control tools
  • Chargeback tracking
  • Enterprise authentication

12. Agility Platform

Agility Platform is a mobile CMS solution that allows for content authoring, asset management, and design customization.

Features:

  • SEO and Enterprise Analytics
  • Internal search and versioning
  • Rich Text Editor
  • User Role and Identity Access Management

13. Netdata.Cloud

Netdata.Cloud is a unique architecture operated by ML that helps users troubleshoot all important metrics.

Features:

  • Reduces response times and improves resource management
  • ML-based anomaly detection services
  • Real-time data visualization

14. Puppet

Puppet was developed by Ruby DSL to change infrastructure code for enterprises into easily reconfigurable and manageable formats. It makes system administration simple, fast, and convenient. It makes system administration simple, fast, and convenient.

Features:

  • Compatible with multiple platforms such as Microsoft Windows, Linux, Ubuntu, etc.
  • Open-source, cost-effective, and scalable
  • Uses client-server paradigms and automates hybrid infrastructures

15. CloudZero

CloudZero helps companies align people with processes and works on reducing AWS costs. It is a SaaS solution that provides greater visibility into infrastructures, and the platform helps brands optimize their Cloud data usage.

Features:

CloudZero offers various features, such as digital asset management, anomaly detection, real-time alerts, and extensive reporting. It quickly identifies infrastructure vulnerabilities and customizable menus that let users filter data. There is tag support, immediate insights, document downloads, and exclusive compatibility with Slack groups.

16. Cloudsfer

Cloudsfer is a cutting-edge Cloud migration service that supports cloud-to-cloud and on-premise transfers.

Features:

  • Migrates data across 20 sources
  • Cloud backup and recovery

17. Lacework

Lacework is a cloud security tool that is used for continuous deliveries and scaling Cloud resources.

Features:

  • Data analysis and security threat alerts
  • Vulnerability scanning
  • Compliance management

18. Kubernetes

Kubernetes is a Open-source and production-grade Cloud platform that is used to deploy, maintain, and scale containers.

Features:

  • Automated rollouts and rollbacks
  • Containerizes apps on a large scale

19. Ansible

Ansible is among the top cloud computing tools, and it's used for IT infrastructure automation.

Features:

  • Automates cloud provisioning
  • Orchestrates containers and reconfigures infrastructures
  • Secure, reliable, and scalable

20. Sematext

Sematext offers the best all-in-one cloud monitoring tools to organizations.

Features:

  • Frontend and backend logs
  • Monitors multiple APIs, apps, networks, microservices, and cloud environments

21. Carbonite

Carbonite offers data backup, migration, and continuous delivery services for enterprises and startups.

Features:

  • Supports MySQL, Oracle, and Hyper-V
  • Assures high availability of critical business systems
  • Data migration, backup, and recovery

22. Notion

Notion helps brands record insights, brainstorm ideas, and communicate ideas across Clouds effectively.

Features:

  • Document collaboration and file sharing
  • Shares workflows, knowledge, and team schedules
  • Great notetaking and project tracking features

23. Civis Analytics

Civis Analytics is a big data Cloud tool used to centralize data, manage services, and scale up organizations.

Features:

  • Supports SQL, Ruby, and Python
  • Collects data from trusted third-party sources
  • Data analytics, scaling, and management

24. PagerDuty

PagerDuty is an incident response platform that lets Cloud teams stay on top of their game.

Features:

  • DevOps and AIOps solutions
  • End-to-end customer service and support
  • Team schedule creator
  • Data scaling

25. Gremlin

Gremlin is a state-of-the-art chaos engineering tool for the Cloud. It prevents system failures and is used as a proactive security strategy by enterprises.

Features:

  • Eliminates false flags in security alerts
  • Great for detecting vulnerabilities
  • Latency injections, server shutdowns, and other usage features

26. GitHub

GitHub does source code management and is an online repository for Git developers.

Features:

  • Open-source code management
  • Showcases projects online
  • Cloud-based versioning and collaboration

These are some of the top examples of Cloud Computing tools available, but other Cloud Computing software development and management tools are also available.

Future of Cloud Engineers and Growth Prospects

Cloud computing is evolving at a rapid rate, and its adoption is being recognized by global corporations and enterprises. It opens up a whole world of opportunities and aids in the deployment of hybrid IT solutions. With rising employment rates, the future of Cloud computing looks bright, and top roles, such as Cloud Software Engineer, Systems Administrator, Enterprise Architect, and many other roles, are opening in the Cloud Computing sector. KnowledgeHut Cloud Computing Online Courses prepare aspirants for these careers and enable them to enjoy a smooth transition as professionals in the industry.

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Conclusion

There is a high demand for professionals with Cloud computing expertise which is why learning about these tools is a prerequisite for success. KnowledgeHut offers plenty of online Cloud learning resources and customized programs to help you on your learning journey. Gain a better understanding of the Cloud and take up KnowledgeHut's courses today to become an expert.

Cloud Computing Tools: FAQs

1. What is the latest technology in cloud computing?

SASE, MultiCloud, and Edge Computing are some of the top and latest advancements in cloud computing.

​2. What is cloud computing replacing?

Cloud computing is replacing traditional IT infrastructures and a variety of apps and services. It takes data off-premises, stores them securely, and makes enterprises scalable.

3. What are the 5 layers of cloud computing?

The 5 layers of Cloud computing are - software, application, infrastructure, kernel, and hardware and firmware.

4. What is the backend of cloud computing?

The backend of cloud computing includes processes such as network connectivity, servers, and other cloud hardware.

5. What are the different cloud platforms available?

The main types of cloud platforms available are public, private, hybrid, and multi-clouds.