Trends in Technology

The 5 New Ways that DevOps Are Going to Leverage the Cloud

October 13, 2020 by Bobby J Davidson
Read similar articles in: Cloud

With the rise of DevOps and cloud computing, the future is exciting when it comes to the tech industry, as it is going to be dominated by these two technologies. There is already a fair bit of hype surrounding DevOps, but the reality is that there are still some people who don’t know what impact these two technologies are going to have on the tech world. Allied Market Research has estimated that the DevOps market is going to reach around $9.4 billion by the year 2023. With cloud services expected to grow to $266.5 billion in 2020, the continuous overlap of DevOps and the cloud is going to seem a bit obvious. Like every part of the tech world, the success of this overlap is going to be driven by innovation, and we are going to be highlighting the five areas of innovation that you should keep an eye on in 2020.

1.    Cloud-Native Pipelines

Oracle has predicted that 80% of all enterprise workloads will be residing in the cloud by 2025, and this growth will be supported by the continued adoption of containers and microservices. When the DevOps teams transition tools and services to the cloud, it is done through containers or cloud-native technologies. It’s only natural then that when new pipelines are developed, the tools used will naturally prioritize cloud-nativity and try to leverage infrastructure as Code (IaC) models. A major factor that supports cloud-nativity will be the growing focus on the use of container registry services. These registries will allow DevOps teams to store container image repositories along with associated indexes, access control policies, and API paths. This will allow more secure management of container images, and the facilities will be easier and more reliably shared across teams. The registries will then help eliminate barriers created by the growing concern for container security.

2.    The Multi and Hybrid-Cloud Deployments

It was reported in the Rightscale 2019 State of the Cloud report that around 84% of enterprises that are surveyed would be using either a hybrid or multi-cloud strategy. The strategies will indicate an increase in products that are targeting hybrid and multi-cloud markets with continuing demand for in-house development being done. DevOps teams will then start taking advantage of multi-cloud systems to ensure that products are vendor agnostic and test compatibility across all systems. However, the teams are also likely to be challenged by a need to develop more robust visibility and monitoring tools. One possible solution is the development of standardized monitoring pipelines, which could aggregate and automate most of the monitoring process and eliminate the need for piecemeal solutions.

3.    Serverless Architecture

Technavio released a research report that estimates the market share for serverless computing is going to grow to $9.16 billion by 2023. The serverless options or Functions as a Service (FaaS) are offered by all major cloud providers currently. These services will not only allow DevOps teams to speed deployment further, increase scalability, and enhance user experience. At the same time, the teams will decrease or eliminate infrastructure maintenance and costs. Most CI/CD pipelines have already taken advantage of these services, and that number is only going to increase. Especially, as there is growing support from tooling services, like Knative and GitLab. Knative will allow teams to build, deploy, and manage serverless workloads in Kubernetes. That combination will help DevOps teams access the benefits of both containers and serverless without needing any sacrifice.

4.    DataOps

DataOps is the adoption of DevOps principles by data science professionals and the data industry. Even though it is still a nascent field, it has the potential to enhance the efficiency of data analysis and processing vastly. DataOps also offer opportunities for DevOps teams to integrate data insights into development projects and practices smoothly. Currently, the data industry is suffering from high error rates, with slow deployment times, and a lack of automated testing. The integration of DevOps will offer version control, measurement, and standardized monitoring with collaborative tools for faster release. Apart from that, most data and data analysis will already take place in the cloud. It makes sense then that the cloud-native tooling and the strategies of DevOps will offer opportunities for growth.

5.    Service Meshes

The use of service meshes will start to ramp up and will influence the efficiency and performance of existing container deployments. The biggest barriers to cloud development have been concerns over the security and the manageability of microservices. The service meshes can minimize the concerns by offering greater resilience, access control, and visibility in deployments. A service mesh will be the infrastructure layer that oversees service to service communications. The service meshes can be applied to other use cases as the technology starts to mature, and the meshes can then trace them, which is what is required for highly complex, microservice-oriented environments. With greater control and visibility, DevOps teams can then effectively test and deploy services without fearing any downtime. There is also the potential for meshes to provide greater integration across pipeline tools, which allows greater consistency and easier automation.


DevOps has become the standard for most organizations, mainly due to its flexibility, efficiency, and speed. These traits not only support cloud growth but are also facilitated by it. As a result of this, DevOps and cloud services will continue to grow more entwined, and teams are going to continue to innovate new ways of adapting cloud services to their advantage. It is impossible to know what the future is going to bring to DevOps in the cloud, but for the areas highlighted here, suggest that they are going to play a major role in the future.

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