In this Techaisle Take analysis, I will discuss which customer challenges Red Hat is addressing with its cloud services, market differentiation, especially VMware, and why its significant value lies in providing a consistent full-stack development and operational experience.
The customer challenges
A successful approach to the cloud needs to be structured around its capacity to evolve, support changing business requirements and customer/partner/employee expectations, respond to competitive pressures, and embrace new opportunities for automation/integration of automated systems. Businesses may be comfortable pursuing a limited number of objectives, but these objectives are no longer static. One of the challenges to providing cloud services is that the cloud spans two significant disciplines. One of the challenges to providing cloud services is that the cloud spans two critical levels. At a strategic level, the cloud is a management issue, and at the execution level, it is an IT issue. In IT, there are two main actors, developers and operators. Both developers and operations teams hold promise to support cloud development and deployment. In response, businesses have turned to an approach to development known as DevOps. In response, businesses have turned to an approach to developing and operating systems known as DevOps. Because of the optionality and complexity of tooling, it can be difficult to source appropriate cloud support for DevOps at a practical level. Techaisle’s Container Adoption Trends survey data shows that 57% of commercial customers seek application modernization services, and 77% are currently engaged in application migration services. Yet, 22% of firms believe there is a lack of IT and business strategy alignment understanding related to DevOps practice. Although modernization is a business priority, determining the right approach, paying off technical debt, internal strife between scrum/agile teams, not well-understood data & application dependencies, and legacy SDLC processes slow down the modernization programs. The competing corporate objectives usually compel an organization to manage and deploy a mix of environments, including on-prem configurations, private cloud, and multiple public cloud services. These diverse environments result in the need for a hybrid approach.
As a result, businesses deal with many inhibitors when planning to add business value at a faster pace and compete in the digital economy. The big challenge is building applications faster, reducing time to value, and deploying on-prem in private or public clouds. Operations teams are specifically under pressure to control costs, reduce operational complexity, improve security, and consistently manage across multiple cloud deployments. Operations teams are managing legacy applications running in virtualized environments in the data center while witnessing explosive adoption of the public cloud and associated services. In addition, businesses are increasing edge deployments, specifically in the industrial and telco verticals.
The solution – Red Hat Cloud Services
Red Hat’s cloud services strategy is built to address the multitude of the above-outlined challenges. Red Hat OpenShift provides consistency across all cloud environments, helping developers in cloud-native application development and rolling out applications in containers faster, giving the operators the ability to have the same operating experience across every deployment footprint for every application in both on-prem and public cloud. In addition to the core OpenShift platform, Red Hat Cloud Services includes several tightly integrated application development and data services intended to help developers build workloads and applications within the OpenShift managed-service environments. These additional managed cloud services include an API management service (Red Hat OpenShift API Management), a Kafka and streaming service (Red Hat OpenShift Streams for Apache Kafka), a service to simplify access control across multiple database vendors (Red Hat OpenShift Database Access), and a data science service (Red Hat OpenShift Data Science) for AI/ML workloads. According to Techaisle’s Container Adoption Trends survey research, the additional services are likely to see an adoption growth of 68% among commercial customers within the year.