Technology has come a long way. It has transformed our lives completely. With the introduction of new features and updates every day, technology has provided us much more than we can use. One such major revolution that technology has introduced into our lives is ‘cloud computing. It has completely changed the way business functions.
So many technological evolutions have taken place around the cloud and for the effective usage of cloud computing. In the process, these technologies are not just changing the cloud computing environment, they are transforming the world of computing as a whole.
Below given are 6 such emerging technologies which will make ‘cloud computing’ stand out:
Containers are packages of software containing all the necessary elements, to help virtualize the operating system and run anywhere. It can be done from a private data center to the public cloud or even on a developer’s personal laptop. From Gmail to YouTube to Search, everything at Google runs in containers. With the help of containerization, the development teams move fast, deploy software efficiently, and operate at an unprecedented scale.
‘Speed of delivery and complexity’ has always been of extreme importance for the IT industry. Containers intend to help with this. Unlike traditional Virtual Machines (VM) that hold the main OS, Container technology arrived as a lightweight software packaging method, where a container package carries a piece of software and its bare essentials (libraries and configuration files) to traverse across different computing environments.
Docker and Kubernetes took the container popularity to the next level in terms of adoption. The Rightscale State of the Cloud report 2019, suggests that 66% of firms have already adopted containers and 60% have Kubernetes for container management.
Serverless is a cloud computing execution model which provides computing resources on-demand, and offloads all responsibility for common infrastructure management tasks like scaling, scheduling, patching, provisioning, etc. to cloud providers and tools. It also allows engineers to focus their time and effort on the business logic specific to their applications or process. They do not require any management and operation infrastructure. They enable the end-users to pay only for resources being used, never paying for idle capacity.
Serverless computing answered the concerns of the IT industry when it was struggling with critical hardware maintenance and software provisioning. It handled the key maintenance and scaling demands of firms, and encouraged them to focus on other key functions in their cloud-based systems. The trend for pay-as-you-go and pay-for-use computing models picked up addressing the majority software burden. This function-as-service model made the cloud computing environment run faster and more efficiently.
Recommended Read: Serverless Computing – Pros, Cons & How it works
Microservices are an architectural way of approaching creating cloud applications. Each application is built as a set of services, and each service runs in its own processes and communicates through APIs. Dealing with one single large application has become old fashion! Componentization has been the trend to simplify the software process. This process involves breaking a larger application into smaller modules or components to deliver faster, this is referred to as Microservice.
A microservice architecture breaks monolithic apps into small, joined services or modules. This modular approach makes it easy to deliver multiple modules by different small teams, independent of the actual ‘bulk’ application. Thus, the continuous delivery of fully updated software and ultimately speeds up the app delivery cycle is carried out.
DevOps uses a combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity. They evolve and improve products at a much faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
This major trend gave a due boost to the cloud computing environment. It had bridged gaps and brought together different teams with expertise in different areas, making them work for a single goal. Developers create codes, Operations teams work on metrics. Together, they can create wonders in a software environment giving a competitive edge to organizations.
Recommended Read: Top Business Benefits of DevOps
Internet of Things
The internet of things is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people with have unique identifiers and the ability to transfer data over a network without the help of any human-to-human or human-to-computer interaction. It has changed the shape of technology.
Many businesses involve the ‘cloud’ for processing enormous volumes of data. Cloud-based data analytics platforms, backed by hyper-scaling servers, facilitate effective data processing. Cloud also offers a solution to another key question about setting up IoT, which is basically expensive and complex to build from scratch. IoT provides the solution for this.
Recommended Read: Top 5 Industries With Their IoT Applications
Artificial intelligence is currently the next-generation technology solution set to present the technology world in a different view. An AI cloud comprises of a shared infrastructure for AI use cases, supporting numerous projects and AI workloads simultaneously, on cloud infrastructure at any given point in time
With its solutions that exhibit machine intelligence independent of human assistance, AI is emerging to enjoy high market dominance among existing tools. However, building AI applications is complex for many businesses. This is where the cloud has a crucial role. Such companies are looking at Cloud for machine learning and other deep learning tools. Because of its wide computing and storage options, cloud-based AI is emerging as the most-sought solution for businesses of any size in realizing their AI efforts.
Recommended Read: Artificial Intelligence vs Machine Learning vs Deep Learning
Although technology is growing, everyone and every business are not able to put up with the same pace. We at Augmento Labs, understand your problem. We have an excellent team who have expertise in each of the technologies. We will help you set up your chosen technology. Our team of experts will help you enjoy the maximum utilization of cloud computing services. We have more than 18 years of experience in IT industry and have worked with companies before. Our cloud team helps you with new cloud applications or portals, rapidly modernize existing applications, migrate the right workload using the latest DevOps and automation platforms.
Thus, Augmento Labs can be your one-stop solution. With personal care to each customer, we ensure that our products are of the best quality. We deliver cutting-edge solutions across domains that enable consistent growth and productivity.