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The Way the Clouds Are Blowing

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The Way the Clouds Are Blowing

This look at cloud computing considers how past trends are likely to continue, examining the likes of containers, serverless, and how enterprise apps are affected.

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Last year was something of a turning point for cloud computing technology. The technology being ubiquitous in nature seems to have accelerated to a great extent over the past few years. And it is assumed that the cloud market will grow at a scorching pace this year as organizations shift their cloud efforts into high gear to power their core business systems.

IDC predicts that “by the end of 2018, around 40% of IT spend across hardware, software and services will be for cloud-oriented technologies and by 2020, 45%-50% of all spend will be for the cloud-delivered model.”

Which means that, with the increase in acceptance of such technology, one can look forward to better and greater tapping of cloud resources. Plus, more workloads will be cloud-borne and driven by IoT and Big Data. Here's what to keep your eye on.

Cloud Cost Containment

The ever-growing popularity of machine learning will result in making containers the buzzword of the year for several cloud vendors. And as a result, the next generation of computing will move beyond the traditional construct of virtual machines and servers. Besides, software development companies will be compelled to use cloud containers in order to manage software code, especially those that are developed for cloud apps. Most public and private clouds have started using Linux containers, which ultimately creates a challenge for companies offering microservices.

Overall, all programs developed for cloud applications will use containers as a standard practice.

Lifting and Shifting Cloud Apps

In order to run public cloud systems, businesses must refactor their apps. The lift and shift migration may turn out to be costly at the initial stage, but with the adoption of the cloud, the cost should go down. Moreover, these apps can replicate the entire program on the cloud and enable a software programmer to check whether it works accordingly or not.

Hyperconverge of Private Clouds

By using Hyperconvergence, any business can improve their cloud implementation flow. This will enable integration of computing, networking, and virtualization functionality in all hardware systems. In addition to this, it also improves the overall scalability, speed of deployment, efficiency, security, and cheaper capital expenditure.

Enterprise Apps Now on Public Clouds

With enterprise clouds, software developers can create and host on public clouds. As a result, one will experience increased agility for business-driven data to drive innovation and increase cost savings. By using this approach, more and more companies can stop all on-premise infrastructure as it supports the cloud in a hybrid state.

Increased Security

Since more and more businesses will be migrating to the cloud, there will be a slew of more publicized breaches. Cloud security services incorporate businesses in testing security and sensitizing users on information regarding secure access and data encryption.

Machine Learning/AI

Machine learning and artificial intelligence are the trends that are expected to dominate the cloud market in the upcoming years. Some of the major tech giants have already made big announcements. For example, Google released an open-source machine learning platform named TensorFlow, and Microsoft and Amazon also introduced a cloud-based platform for machine learning. As a result, the technology has become easier for developers to use and integrate into applications — the drumbeat of ML and AI continues.

Serverless Computing

The trend that kicked off in 2015 is expected to continue to ramp up. The entire concept of building applications without provisioning any infrastructure resources is simply magnificent. With major companies like Coca-Cola going serverless, a new level of speed and scale is achieved in building applications and bringing them to market. Serverless computing makes cloud computing even easier by taking a software developer for away from infrastructure so that they can thoroughly concentrate on building code for single functions.

Hybrid Cloud

Even if organizations continue to build next-generation infrastructure for their private clouds, they are looking around for ways to enable workloads running on that infrastructure to run in the public cloud. And since the launch of Azure by Microsoft, hybrid cloud computing has been a staple of Microsoft’s cloud strategy.

A cloud is hybrid when:

    • A company uses a public development platform that sends data to a private cloud or data center-based application.
    • A company leverages a number of SaaS (Software as a Service) applications and moves data between private and data center resources.
    • When a business process is designed as a service.

Managing Multiple Cloud Providers

Organizations have started using multiple cloud providers that enable effective service integration and monitoring of all services. For instance, you may be running a workload that requires large pools of storage and networking resources on a private cloud. Simultaneously, you may have a workload that needs to scale up/down quickly on the public cloud. Although both workloads are running on their ideal clouds, with a multi-cloud setup, one can manage things pretty easily and efficiently.

Monitoring Clouds

By investing in the deployment of a comprehensive cloud platform, a company can overcome several challenges faced while moving to the cloud. Besides, a full cloud monitoring platform brings a wide range of benefits such as:

    • Greater levels of applications and network security.
    • Simpler implementation of business continuity plans.
    • The ability to reach and maintain peak application performance.
    • Improved serviceability leading to faster resolution.

Wrapping it Up

Cloud computing is everywhere, but it's still definitely gaining momentum. The aforementioned cloud computing trends offer cost-effective, improved cloud monitoring solutions. Hence, every business organization must continue to develop, engage, and integrate services on the cloud.

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Topics:
cloud ,containerization ,serverless ,machine learning

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