Important Cloud Computing Predictions of 2019

March 28, 2019

Cloud Computing helps organizations to move faster towards their business goals. The complexity of managing vendor relationships with data centers, hardware vendors move over to the public cloud operator. The availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, and autonomic and utility computing has led to growth in cloud computing.

MultiCloud Using Approach:

According to 2019 State of the Cloud Survey by RightScale, organizations are using almost 5 clouds across both public and private.

There are many reasons for using the MultiCloud approach. Multiple teams with fragmented skills on multiple clouds or through inorganic acquisitions, for instance, could potentially result in organizations using and supporting their workloads on multiple cloud platforms. Other reasons include the need for fully isolated disaster recovery (DR) setups, avoidance of vendor lock-in.

Cloud Native now means MultiCloud native. Function-As-A-Service now means Open Source FAAS software running on open source container orchestration and control planes running across multiple public clouds in an interoperable fashion.

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Artificial Intelligence:

IDC forecasts that spending on AI and ML will grow from $12B from 2017 to $57.6B by 2021.

Organizations are increasingly exploring Deep Learning techniques to enhance their existing rules-driven systems with Artificial Intelligence. Their Machine Learning Computer Workloads on the public clouds have thus exponentially increased.

Cloud platforms offer Compute Nodes with GPUs specifically targeting Machine Learning workloads for natural language text processing, speech recognition, image recognition/manipulation including for video streams.

Edge Computing:

Edge computing is all about bringing the physical location of cloud services nearer to the devices it is interacting with, to reduce the latency and to improve the service quality. According to Million Insights, “the global edge computing market size is expected to value at $3.24B by 2025.”

Edge computing augments cloud computing, and it focuses more on physical locations and economic feasibility. Organizations will be implementing edge computing strategies to leverage the benefits such as improved quality of service deliverability.

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Internet of Things (IoT):

“Worldwide technology spending on the Internet of Things to reach $1.2T in 2022, attaining a CAGR of 13.6% over the 2017–2022 forecast period,” according to IDC.

With the Internet of Things (IoT), organizations need to possibly manage a massive number of devices. The management of IoT devices requires a sophisticated approach to handle frequent un-availability of power/connectivity to the devices via specialized IoT DevOps stack operating on the public cloud.

The provisioning/monitoring/commands to connected IoT devices along with intelligence at the edge powered by low power SoC requires specialized micro-services to be provisioned by public cloud operators and they are all interested in servicing these workloads.

A large number of physical appliance developers, smart LED lighting manufacturers, and mobile electric vehicle makers are interested in using IoT software designed for use via the public cloud to embed intelligence in their products.

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