The 2020-2021 timeline witnessed Desktop as a Service (DaaS) ascending from a linear evolution to an exponential one as the business economy went virtual. With companies embracing remote and hybrid workplaces, data-native strategies, and global supply chains, the appetite for DaaS-based solutions is only becoming stronger and ever-growing.
These cloud computing technologies are now a cornerstone for organizations looking to work smarter, focus on their core operations, and complete projects faster. From banks’ C-suite shepherding the development of innovative digital banking applications to warehouse managers striving to strip complexity from their transportation and logistics, the use cases for DaaS are limitless.
With highly scalable platforms, on-command computing power, and a more resilient approach to IT expenditure, the cloud has climbed from a budding technology to an integral IT asset. As such, more companies are shifting toward a cloud-first strategy, and as they do, we are likely to observe the following DaaS trends very shortly.
The confluence of cloud computing, artificial intelligence (AI), and its subset, machine learning (ML), will soon gather center stage. AI/ML-enabled platforms consume massive data bandwidth and processing power to process and analyze data. Well-engineered cloud computing technologies make these capabilities considerably more cost-effective than other solutions.
Conversely, AI and ML help organizations glean additional value from the ever-increasing data chunks. From e-commerce brands testing their websites’ performance in real-time to logistics companies assessing their transportation networks’ efficacy, AI/ML enables organizations to make the most of the data and operate better.
Common AI applications, from social media filters to Google searches, happen through the cloud. Additionally, the technology that redirects traffic from data centers to end-user devices and controls storage runs on ML.
What is more, cloud solutions help democratize AI and ML, thus expanding the user base. Consequently, even budget-constraint businesses can leverage the potential of these oft-cited technologies to develop innovative offerings.
Serverless computing, also called function-as-a-service (FaaS), takes the burden of infrastructure management and server provisioning off users’ shoulders. Instead, the cloud vendor dynamically manages the underlying infrastructure and allocates computing resources as per the needs of running applications.
A subset of Platform-as-a-Service (PaaS), serverless cloud particularly benefits companies requiring colossal processing power but in short bursts. Case in point, compiling and running software code.
Serverless computing is a pay-per-use system; companies need not have to squander their money on storage and bandwidth upfront. As such, they can build new applications and utilize greater computing power at a fair price and in less time. Also, old-line organizations can launch new digital services without overwhelming their already-stretched IT crews.
Besides, a serverless cloud helps remove the risk of back-end failures and offers safe sandboxes for coding and innovating. Indeed, the deployment of serverless architecture will soar by about 22% CAGR during 2022-2027.
Previously, businesses have had two options while shifting their workloads to the cloud – public or private models. The former was easily accessible and offered pay-as-you-go services, while the latter was more flexible and provided better security for data storage.
Fortunately, hybrid cloud models combine the best of both experiences. According to a report, 8 out of 10 business owners are taking the hybrid approach – melding the potential of both private and public clouds.
Public servers can store a fraction of easily and frequently accessed data through dashboards, tools, and applications. At the same time, private servers can safeguard more confidential or mission-critical assets, which IT admins can track and process using patented applications.
With that considered, organizations are looking to distribute internal processing and storage requirements across multiple cloud platforms, often from numerous providers, based on the use cases. Hence, they are flocking to the multi-cloud environments to use a slew of solutions from different vendors. Empirical evidence suggests that about 90% of companies implement a multi-cloud model.
Cybercrimes are already on the rise. On average, a data breach costs US$ 4.35 Mn, a 2.6% increment from the 2021 number. In response, cloud providers are infusing their services with best-in-breed data defenses to address existing issues, including bandwidth constraints and repercussions of sharing data from untrusted devices.
In 2022 and ahead, we will see surging adoption of:
Cloud disaster recovery (Cloud DR): Cloud DR backs up an organization’s critical data on an external cloud server in the event of human-made or natural catastrophes. The cloud-based service creates a standby IT setting that can take charge if the primary infrastructure collapses. It is cost- and time-efficient, benefitting from third-party management – Disaster Recovery as a Service (DRaaS). Moreover, organizations can change, add, and eliminate data from these external servers when needed without having to scale their IT fabric. Cloud DR is the go-to solution for compute-heavy applications and servers such as massive databases and ERPs.
Secure Access Service Edge (SASE): SASE is an emerging cybersecurity concept that empowers companies to manage access and connectivity between cloud services, cloud applications, and end-user devices. Businesses armed with SASE benefit from IT security features – firewalls, web filtering, zero-trust architecture (ZTA), and credential theft prevention – all cloud-enabled. In addition, SASE offers users a single sign-on experience across multiple corporate cloud applications while maintaining the most stringent levels of security compliance.
Edge computing is a novel approach to data processing wherein operations do not occur within a centralized cloud. Instead, it involves creating localized devices or data centers for computation and storage or within the network’s periphery.
This decentralized computing infrastructure reduces latency and boosts application performance. As the enterprise resources and data reside closer to the end user’s device, they can be processed locally, thus saving money as well.
Edge computing is the driving force behind cutting-edge devices, including smartwatches, smartphones, and smart cars, and the interrelation of all the data produced by these solutions.
Nevertheless, most people misunderstand edge computing as a threat to cloud computing even though the technologies complement each other. Organizations utilizing both edge and cloud experience reduced bandwidth usage, near-instant data processing, and decreased volumes of transferred data.
Edge computing is presently one of the hottest topics in boardroom discussions, and its market will only expand going forward. Cloud technology will be an excellent fit for businesses interested in increasing operational efficiency.
Existing public blockchain infrastructure does not deliver adequate data storage and management; hence, incorporating blockchain systems for big data applications becomes challenging.
Kubernetes (K8s) is an open-source engine that streamlines the deployment and management of container-based applications. Moreover, the software monitors the performance of new services, enabling organizations to deal with loopholes proactively.
Using K8s for blockchain helps swiftly scale environments and ensures at-length availability with several containers operating for essential services. In addition, the combination promotes service interoperability between companies that are designed differently.
Positioning blockchain networks and their constituents via Kubernetes clusters could soon be the adoption standard. The reason being they address two key obstacles blockchain encounters – its innate intricacy and integration into the current infrastructure.
Cloud gaming enables users to stream endless options of video games on remote servers for a fixed monthly charge. Players can play the games on any web-browsing device without having to invest in a costly console. In addition, remote gaming provides a lag-proof experience and hardened security and keeps users from cleaning up their device storage space.
Equipping game streaming technology with cloud computing propels the demand and engagement of multi-players for various games and eliminates existing platform hurdles.
Cloud gaming services, including Google’s Stadia and Amazon Luna, will shape the industry’s course in 2022. Additionally, the onset of Cloud Augmented Reality and Virtual Reality (AR/VR) has made headsets more cost-effective and accessible while promoting cloud gaming across multiple verticals. Also, cloud-driven AR and VR will find usage in areas like data visualization and product design engineering.
While e-gaming is yet to achieve its optimal capacity, its fusion with the cloud will ensure the continuous evolution of cloud gaming.
The years ahead are an exciting time to work in the IT realm. With DaaS innovation advancing, businesses will have immeasurable opportunities to reinvent their tactics for optimum results.
About 9 of 10 organizations will implement a cloud-native regimen by 2025. Proper execution of digital strategies is not feasible without leveraging cloud-driven architectures. DaaS is the backbone of every digital service and delivery pipeline, including connected automobiles, social media, and the Internet of Things (IoT).
Besides, upcoming ultra-fast networks, such as Wi-Fi 6E and 5G, mean more data will be streamed from the cloud, welcoming new sorts of data streaming. From an end-user standpoint, Desktop as a Service effectively makes interconnected technology faster, lighter, and more accessible. It will be a critical driving force in migrating more enterprise workloads to cloud platforms.