Red Hat Technology Predictions for 2022

A few weeks into 2022, Red Hat experts analyze the technology trends that will prevail over the next year in the digital transformation strategies of organizations and show IT professionals what kind of technological developments they cannot lose sight of.

Retail, telco, energy and industry will make intensive use of edge computing

For some time, lData is being used more and more in unexpected placessuch as the International Space Station, connected vehicles, factories, ships, and the neighborhood pharmacy. Until recently, this information was taken to the data center or to the cloud and processed there, but this trip was a challenge since many times there could be connectivity problems or limitations in physical access.

Today, the rapid evolution of edge computing saves this journey. There is increasing computing power ever closer to where the physical device or data source actually is. In this way, users can access services more quickly and with confidence, and organizations not only process data better and make use of applications that respond quickly to specific events, but also They also use technologies, such as AI (Artificial Intelligence) / ML (Machine Learning) analytics, to identify trends and offer better products and services.

Throughout 2022 we will see a greater use of edge computing in retail, industry, energy and telco. The largest computing and storage capacity in eEdge computing added to the AI ​​/ ML analysis will allow the retail sector to use the data generated in the physical premises to offer new services according to needs. of the consumer and thus improve the user experience. In the case of factories, they will be able to make immediate use of the data generated by the sensors of the Industrial Internet of Things (IIoT) to improve operational efficiency and their productivity.

Kubernetes becomes the perfect platform for Artificial Intelligence and Machine Learning (Brian Gracely, senior director of product strategy, Red Hat)

More than 75% of organizations globally will run containerized production applications in 2022 compared to about 30% in 2020, according to the predictions of the consulting firm Garner. What will drive such spectacular growth?

In the last 7 years, Kubernetes has evolved to become the de facto standard for managing containerized applications. And as with any new technology, the maturation of the technology and the learning curve of the users take place at the same time. At first, heUsers used to build their own Kubernetes platforms on-premise and they deployed a more simplified set of applications (stateless). But as Kubernetes has stabilized, usage patterns have matured significantly.

Organizations have seen the preceding success Kubernetes with Red Hat (using OpenShift) and looking for similar business results. But they often don’t want to invest in the operational skills to manage and maintain Kubernetes. This is where we expect to see a rapid expansion of the use of Managed Kubernetes cloud services, such as OpenShift Dedicated, Red Hat OpenShift on AWS (ROSA) Y Microsoft Azure Red Hat OpenShift (ARO).

Although we have already seen a wide variety of applications running in containers, we are beginning to see that more Organizations Bring Their Mission Critical and Stateful Applications to Kubernetes. It is expected that databases, event-based messaging and mission-critical applications move to Kubernetes to take advantage of the scalability, security, and portability that Kubernetes brings to all applications.

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But among all the applications that run on Kubernetes, one area that stands out is AI / ML. As data science becomes a critical role within nearly every business, the ability to improve and power many types of applications increases. From improving customer interactions to making better data decisions to simulating self-driving cars, AI / ML is impacting almost every aspect of the modern business. And Kubernetes becomes the perfect platform for AI / ML, offering scalability, GPU access, workload portability, and much more. We’ve already started to see organizations doing great things with AI / ML on Kubernetes, and we expect the next-generation of applications to completely change industries.

Sigstore, the promoter of cybersecurity from the origin of code development (Kirsten Newcomer, director, cloud and DevSecOps strategy, Red Hat)

Software supply chain security is going to be an area of ​​great interest in 2022. Organizations will approach it, in part, following the model shift left security differently. Historically, the model shift left Security revolved around vulnerability scanning. However, vulnerability scanning as part of development is not enough and organizations need to protect their software supply chain from intrusions. To do this, we will see investments in the adoption of new technologies in the pipelines, such as the Tekton CD chains, as well as Sigstore to facilitate the incorporation of the firm in the pipeline.

We will start to see a change in the way we organizations protect applications at the time of deployment. This is already occurring with a shift towards a simpler approach in the Kube itself called controls out-of-tree. We will continue to see the growth around policy-based deployment management using tools such as OPA Gatekeeper, Kyverno and Argo CD. Also keep an eye out for new policy drivers that we haven’t seen before.

There will be increased interest in Software Bill of Materials (SBOM). Proposals for standards on the delivery of software BOMs have been around for a long time, but due to concerns about the security of the software supply chain we have reached a point where every organization is going to have to figure out how. deliver a software materials list. The sector will discuss the static information of the bills of materials versus the dynamic information, such as vulnerability data, in which the package has not changed, but the vulnerabilities associated with that package have. Related to this, automation around BOMs and package-related metadata is set to grow considerably.

Kubernetes distributions will start adding more security capabilities directly to their distributions. This will help improve the overall security of the distribution and will also help reduce the cost of securing a Kubernetes deployment.

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