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Cloud Technologies List for 2024

Cloud Technologies List for 2024
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In this blog, we will discuss what cloud computing is, the types and benefits of cloud services available, and the top cloud technologies trending in the market. 

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What is Cloud Computing?

Cloud computing is like renting a computer or software over the internet instead of buying and installing it on your own computer. Instead of owning everything, you access what you need online.

Here’s a breakdown:

  • Storage: You can easily keep your files and data on the internet rather than on your computer’s hard drive.
  • Access Anywhere: Since your work is in the cloud, you can reach it from any device with an active internet connection.
  • On-Demand Services: You can use software and services online without having to install them on your device. It is like borrowing instead of buying.
  • No Physical Boundaries: You don’t need to carry around your personal physical storage devices with you everywhere. As long as you’re online, your data is accessible from any device.

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Cloud Service Model

There are five main service model: Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Desktop as a Service (DaaS), Function as a Service (FaaS). 

All of these types are discussed below in detail:

  1. Software as a Service (SaaS): SaaS is a cloud service where you access software applications over the internet instead of installing them on your computer. 
    • Examples include Google Docs and Microsoft Office 365.
  1. Platform as a Service (PaaS): It provides a platform that enables developers to create, deploy, and manage applications without having to concern themselves with the underlying infrastructure. It provides tools and services to make the development process smoother.
    • Examples include Azure App Service and Google App Engine.
  1. Infrastructure as a Service (IaaS): IaaS gives you virtualized computing resources over the internet. It includes things like virtual machines, storage, and networking. It’s similar to borrowing a computer from the cloud instead of purchasing and taking care of your own. 
    • Some examples include AWS EC2 and Google Cloud Compute Engine.
  1. Desktop as a Service (DaaS): DaaS is a cloud computing solution where your entire desktop environment is hosted in the cloud. You can reach your computer and apps from any device with an internet connection. 
    • The significant examples are Amazon WorkSpaces and VMware Horizon Cloud.
  1. Function as a Service (FaaS): FaaS allows developers to run individual functions or pieces of code in response to specific events without managing the server they run on. It’s a more granular way of handling computing tasks. 
    • Examples include IBM Cloud Functions, and AWS Lambda.

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Benefits of Cloud Computing

Cloud computing provides various benefits, ranging from cost savings and flexibility to enhanced security and collaboration, making it a valuable solution for businesses of all sizes. Let’s get to know them one by one.

  • Cost Efficiency: Cloud computing eliminates the need for organizations to invest in maintaining physical hardware. Businesses need to pay only for the resources and services they use with the pay-as-you-go model. This cost-effective approach reduces upfront expenses and ongoing operational costs.
  • Scalability: Scalability in cloud services means that businesses can easily adjust and change their computer resources according to their needs. It lets them use more or fewer resources based on their workload. This flexibility helps businesses make sure their computer systems run well, whether they have a lot of work or need to slow down during quieter times.
  • Accessibility and Collaboration: Cloud computing makes it possible for users to access their data and applications from anywhere, as long as they have an internet connection. This means that people can work remotely and collaborate with others easily. They can use different devices, like laptops or smartphones, to access their work without being limited to a specific place.
  • Reliability and Redundancy: Cloud providers make sure their systems are really strong and have extra backups. This helps ensure everything works smoothly and is available to users, even if something goes wrong, like if a computer breaks or there’s a problem. They do this to minimize the time when things aren’t working, so people can always use the cloud services without major interruptions.
  • Automatic Updates and Maintenance: Cloud service providers take responsibility for updating and fixing their systems, so organizations don’t have to worry about it. This helps keep the cloud environment safe and up-to-date with the latest industry standards. By doing this, the cloud environment is kept safe, and in line with the most recent industry standards.
  • Data Security: Cloud providers work hard to keep your data safe. They use special techniques like encryption, authentication, and access control to protect your information. This makes the cloud a secure place for your data, even more secure than having it stored on your own computer. It’s especially helpful for smaller businesses that may not have a lot of resources to focus on security.
  • Environmental Impact: Cloud computing helps the environment by using shared resources in big data centers. This is better because it saves energy compared to having many separate servers in different places. It helps make the world more sustainable and reduces the impact on the environment.
  • Innovation and Time-to-Market: Cloud computing helps businesses be more innovative and get their products or services to market faster. They can easily create and test new ideas without needing to set up complicated computer systems. This speeds up the process of developing new things, encourages creativity, and allows companies to launch their products or services quickly. It is a fast and easy way to bring new ideas to life and share them with the world.
  • Disaster Recovery: Cloud services provide great help in case of a disaster. They have plans in place to protect your data and make sure it doesn’t get lost. They store your information in different places, so even if something goes wrong in one location, your data is safe in other places. They also have backup systems ready to use if something breaks, so they can quickly fix it and get everything back to normal.

Learn everything about Utility Computing in Cloud Computing from our blog!

Cloud Technologies List for 2024

There are various types of cloud technologies that are trending in the market currently, but we are going to cover the ones, which are considered the top of the trend and have a huge potential to gain more prominence in the future.

Edge Computing

During the processing of data near its source, edge computing reduces the necessity to transmit it to centralized cloud servers. This decentralized method is suitable for applications requiring low latency, allowing for quicker processing and real-time decision-making. However, a challenge is the potential complexity of managing distributed systems and ensuring consistent security measures across various edge locations.

Two tools that are frequently used in edge computing are AWS IoT Greengrass, which extends AWS capabilities to local devices and enables them to run AWS Lambda functions, and Microsoft Azure IoT Edge, which provides edge intelligence with containerized deployment.

Cloud-Native Applications

Cloud-native applications are programs designed to work specifically in cloud computing environments. One advantage is that they can easily adapt to changes and take advantage of cloud services like storage and processing power. However, a challenge is that building and managing these applications can be more complex. 

Some tools commonly used for cloud-native applications include Kubernetes, which helps in organizing and running these programs, and Docker, which packages the applications so they can run smoothly across different environments.

Serverless Computing

Serverless computing is a way of building and running applications without having to manage the underlying servers. A benefit is that developers can focus more on writing code without worrying about server maintenance. However, a drawback is that it may be challenging to monitor and troubleshoot performance since the server details are abstracted. 

Commonly employed tools in serverless computing include AWS Lambda, enabling code execution without the need to provision or manage servers, and Azure Functions, facilitating the development of serverless applications on the Microsoft Azure cloud platform.

Data Lakes

Data lakes are storage systems that keep large amounts of raw data in its original format until it’s needed for analysis. One advantage is that they provide a centralized repository for diverse data types. However, a challenge is that without proper organization, data lakes can become messy and hard to navigate. 

The notable tools that are deployed for managing data lakes include Apache Hadoop, which helps store and process large datasets, and Amazon S3, a scalable storage service often used for building data lakes on the AWS cloud platform.

SASE (Secure Access Service Edge)

Secure Access Service Edge (SASE) is a security framework that merges network security functions with wide-area networking (WAN) capabilities to meet the secure access requirements of organizations.

One advantage is that it simplifies security by providing a unified solution for remote access and network security. However, a challenge is that implementing SASE can require significant changes to existing infrastructure. 

Some of the significant tools, which are associated with SASE include Zscaler. They offer cloud-based security services, and Cato Networks, a platform that integrates networking and security functions to support a SASE architecture.

DevOps in the Cloud

DevOps in the Cloud is an approach to software development and IT operations that emphasizes collaboration and automation, particularly in cloud computing environments. One advantage is that it promotes faster and more efficient delivery of software, as development and operations teams work closely together. However, a challenge is that the transition to DevOps can require cultural changes within organizations. 

Some tools commonly used in DevOps in the Cloud include Jenkins, which automates the building and testing of software, and Ansible, a tool for automating application deployment and configuration management.

Cloud Migration and Data Privacy

Cloud migration involves moving digital operations, data, and applications from on-premises servers to cloud-based services. One advantage is that it allows for increased flexibility and scalability. However, a challenge is the potential risk to data privacy, as sensitive information may be stored on external servers. 

Some tools commonly used for cloud migration and data privacy include Azure Migrate, which helps in migrating applications and data to the Microsoft Azure cloud, and Symantec Data Loss Prevention, a tool that helps prevent unauthorized access and sharing of sensitive data.

Hybrid Cloud

Hybrid Cloud is a computing environment that combines on-premises infrastructure with cloud services, allowing the sharing of data and applications between them. The advantage is the flexibility it provides that enables organizations to use both private and public clouds as per their specific needs. However, there is a challenge in managing data and applications across different environments, adding complexity to the process.

The renowned Tools that businesses use in a hybrid cloud setup include VMware Cloud Foundation, which helps integrate private and public clouds, and Microsoft Azure Arc, a tool that extends Azure services to on-premises and other cloud environments, providing unified management.

Automated Cloud Orchestration

Automated cloud orchestration is a process that automates and coordinates various tasks and resources in a cloud environment to streamline operations. One advantage is that it boosts efficiency by automating repetitive tasks, ensuring smoother deployment and management of applications. However, a challenge lies in the initial complexity of setting up the automation processes.

Tools often used for automated cloud orchestration include Terraform, which helps automate setting up cloud resources using code, and Ansible, a tool that automates deploying applications and managing their settings in various cloud environments.

MultiCloud

Multicloud refers to an approach where organizations use services from multiple cloud providers to meet their computing needs. One advantage is the ability to choose the best services from different providers, promoting flexibility and avoiding reliance on a single vendor. But the difficulty comes from the increased complexity of handling and putting together services from different clouds. 

Some tools used in this situation are Google Anthos, which helps manage applications on various cloud platforms, and IBM Cloud Pak for Multi-Cloud Management, a tool that lets you see and control things in different cloud setups. Businesses need to deal with this challenge when dealing with the complexities of using multiple cloud services.

Conclusion

Cloud computing provides a versatile and effective way to handle data and applications. With services like SaaS, PaaS, IaaS, DaaS, and FaaS, it accommodates diverse business needs. The numerous advantages, such as cost efficiency, scalability, accessibility, and enhanced security, make it a valuable solution for present-day business. Hence, explore the top cloud technologies in 2024, despite their unique advantages and challenges, will contribute to innovation and efficiency for companies, and provide continued growth.

If you have any doubts related to DevOps, do post your queries on Cloud computing Community.

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