Concept Cloud Computing Trends for 2024

Concept Cloud Computing Trends for 2024

As companies and organizations continue to undergo digital transformation, information technology jobs will continue to be in high demand.

The Bureau of Labor Statistics projects that over 667,000 information technology jobs will be created between 2020 and 2030, an increase of 13%. This is faster job growth than most jobs in the US over the next decade.

Note: The data provided above are from a source unaffiliated with Campus, formerly known as MTI College, are for informational purposes only and represent the employment field as a whole. They are not solely specific to Campus graduates and, by providing the above information, Campus makes no representation, direct or implied, or opinion regarding employability.

What are some of the emerging business technology trends that will be pushing this growth? We look at some of the leading cloud computing advances that will be utilized over the next few years.

1. Multi-Cloud

Right now, the large cloud platforms like Amazon Web Services, Microsoft, Google, and Oracle have created bundles of services that provide complete solutions for data, cloud, and computational requirements. This makes sense from a business perspective, these companies want to offer clients a one-stop solution. However, many customers are using multi-cloud environments that bridge between the different “clouds”. When cloud providers allow data and access to be shared across different platforms, it helps companies expand their business, such as sharing data with their supply chain partners.

According to Accenture, 93 percent of all organizations are adopting a multi-cloud strategy. Multi-cloud solutions allow companies to use two or more cloud solutions from different cloud providers. The cloud companies can upsell more data, storage, and functionality, and customers are able to make their business run more efficiently. Microsoft and Oracle already have already linked their products, allowing customers to link Microsoft Azure and Oracle Cloud.

2. Hybrid Cloud

Traditionally, businesses have used either a public or private cloud. The public cloud solutions are flexible on billing and resources, while private clouds built on private servers have help sensitive information and data.

Large cloud providers like AWS, Microsoft, IBM and others offer hybrid cloud solutions that combine the best of both worlds. The public cloud in a hybrid solution may contain shared dashboards, tools, and applications that the entire organization may use. The private cloud component of a hybrid cloud solution provides the compliance, data privacy, and extra security necessary for mission-critical data.

3. Distributed Cloud

The distributed cloud has origins in the public and hybrid cloud environments.

Public cloud providers package their hybrid services and distribute them to different locations, which takes the pressure off their central servers, increasing efficiency.

Latency is reduced on large workloads by utilizing data centers near the worker. Distributed cloud systems also safeguard against server failure by redundancy. Small businesses are able to benefit from the network of data centers by using centers nearest to their location, while leveraging the power of cloud systems.

4. Artificial Intelligence

Cloud services are making AI available to more businesses that previously might not have been able to afford the necessary resources. Machine learning, knowledge graphs, basic content creation, and big data are all functions that can be enabled by artificial intelligence.

AI engineering can automate the updates to data, models, and applications that leverage AI. Organizations that are able to integrate AI into their business over the next decade will be able to interpret information with more accuracy and generate more value for their companies.

5. Generative AI

Generative AI learns about data objects or content from existing data, and uses those models to create brand-new original content that is not repeated. Videos, and other forms of content, as well as software code can be created by Generative AI. A study by Gartner projects that by 2025, 10% of all content will be created by Generative AI.

6. Serverless Computing

Also known as Functions as a Service, serverless computing is a pay-as-you-go service which offers cloud computing to businesses without tying them to leasing servers or paying for bandwidth each month. Serverless computing is the fastest growing subset of Platform as a Service (PaaS).

A study by Mordor Intelligence shows that demand for serverless is expected to grow by 25% between 2020 and 2025. Serverless adds a level of abstraction between the platform and the customer, allowing developers and users to avoid spending time configuring environments. This event-driven architecture also frees up software developers from spending time on network administration. Developers are able to spend time on UX and UI instead of infrastructure.

7. Edge Computing

Centralized cloud platforms are not always enough for the needs of an organization. They use up processing, bandwidth, and computational resources. Latency and security are also concerns. To solve this problem, localized data centers are built and utilized for storage and computation at the points where they are needed. Edge computing helps relieve latency issues, reducing load on the cloud resources, tapping into the cloud when needed. Another time edge computing may be used is when data privacy and security is a concern.

8. Total Experience (TX)

Total experience (TX) is the umbrella under which the other experience disciplines are collected. User experience (UX), Customer experience (CX), Employee experience (EX), and Multi experience (MX) are united under the banner of Total Experience. The leader of each experience department is responsible for the needs of customers and employees.

The goal is to drive increased customer and employee confidence loyalty, satisfaction, and advocacy. Total experience is still an emerging discipline that organizations are working to implement.

9. Data Fabric

A data fabric is a flexible distributed data management architecture that can be used consistently over a variety of endpoints. The data fabric makes the data available everywhere it is required, no matter where it is stored. Data in this fabric is standardized, and available across cloud services, on-site, and on edge devices.

The advantages of a data fabric are delivering the needed data to users just in time and automating data processes. Data silos can be a roadblock in business applications, but with a data fabric, data scientists can analyze data faster, and technical departments can simplify data governance in hybrid and multi-cloud environments.

10. Data Privacy and Governance

Security, compliance, data privacy, and governance are some of the biggest challenges in cloud systems. A proactive approach to compliance and data security is necessary to protect data. Regulations like GDPR must be met for any organizations conducting international business. Concerns for data governance must be balanced with ease of use, without sacrificing cybersecurity.

11. Composable Applications

A composable application uses modular software components to create applications that solve business problems. Composable applications make it easier to create and reuse code for many different uses, speeding up production time, streamlining development, and freeing up internal resources.

12. Cybersecurity Mesh

Cybersecurity mesh, or CSMA, is a security defense strategy that builds perimeters around each device access point as opposed to a single IT environment security perimeter.

By securing each device with it’s own perimeter, and controlling the access from a centralized authority point, it adds flexibility and granular control to the security system. Using a distributed security architectural creates a scalable, flexible & reliable cybersecurity system.

13. Hyperautomation

Hyperautomation focuses on increasing the speed of business decisions and processes using a combination of automation tools (like Zapier), software, and machine learning processes. By automating the functions which would normally take human manual labor, it frees up workers to handle high-level decisions and creative work.

14. Disaster Relief

With more organizations moving their daily operations online, uptime is more important than ever. Downtime for remote employees, e-commerce functionality, company intranets, and internal data can be expensive, hurting productivity and revenue.

Disaster relief strategies may include Disaster Relief as a Service (DRaaS). This includes automated disaster relief responses which resolve breaches and downtime issues more quickly, reducing data liability and overall operation costs.

Start Your Information Technology Career Today

Campus, formerly known as MTI College, in Sacramento, CA has three information technology programs which will help prepare you IT career.

Our Technical Support Specialist program helps you prepare for an entry-level IT job in about 36 weeks. During the course, you will learn foundation IT skills, and prepare to take the CompTIA A+ certification, which most employers look for in an IT job.

The AWS Cloud Administration Associates Degree Program gives you hands-on experience with fundamental cloud-based technology and services. Use networking tools and the Amazon AWS console to build virtual server-based network infrastructures from the ground up. This program prepares students for the AWS Cloud Practitioner certification, AWS Certified Solutions Architect – Associate certification, as well as the CompTIA A+, CompTIA Security+, and CompTIA Network+ certifications. This AWS Cloud Administration program is available in the Online format, allowing students to complete all of the required coursework online.

Eligible students can enroll in our fully online AWS Cloud Solutions Architect Diploma Program. This program can be completed 100% online, with no requirement to attend class at a physical location. The AWS Cloud Solutions Architect program at Campus prepares you for the Amazon AWS Certified Cloud Practitioner and Amazon AWS Certified Solutions Architect – Associate certifications.

To get more information on these classes, contact our Admissions department by filling out the form on this page, or call us at (916) 339-1500 .