Boston – In late May, Raleigh-based Red Hat welcomed customers, partners, and industry analysts to the Boston Convention and Exhibition Center to showcase new innovations around OpenShift and Ansible. A key theme of the event was helping CIOs do more with less. The message resonated particularly well in this economy as customers scrambled for self-service software to automate processes and fill skills gaps without increasing his IT costs.
Red Hat’s backstory shapes its entry into next-generation applications
Red Hat has a rich history of turning upstream open source projects into commercial products, as evidenced by the widespread adoption of Red Hat Enterprise Linux (RHEL), which is trusted by approximately 35,000 customers. I have. Red Hat launched OpenShift in his 2011, essentially layering his Kubernetes on top of his RHEL. What was once considered an enterprise Kubernetes product has evolved into a modern application platform supported by a suite of plugins and control plane capabilities that add unique value to existing products. Traditional Kubernetes runtime.
Over the last decade, Red Hat’s customer base has grown to over 3,00 as companies use the OpenShift platform to build, modernize, and manage both traditional and cloud-native applications. But the pandemic changed the IT landscape in just a few short years, forcing Red Hat to align its open source portfolio and business model with new delivery methods, workloads, and consumption models. .
The market initially seemed skeptical that an open source company born inside the data center could handle these changes, but over the past two years, Red Hat has expanded to the edge through multi-node OpenShift clusters, bringing the platform to life. We’ve seen it offer managed cloud services above.
With AI promising to unlock a new wave of applications and related business opportunities, Red Hat leverages its expertise in commercializing open source technologies to help customers build and manage intelligent applications. We will continue to support you.
Announcing OpenShift AI
Despite the recent AI hype, customers have long expressed interest in running AI and machine learning (ML) workloads on OpenShift, prompting the 2021 release of OpenShift Data Science. rice field.
With foundational models expected to unlock new waves of developer productivity, Red Hat leverages its understanding of application pipelines to build and manage models that will ultimately drive the next wave of enterprise apps. There are clear avenues open for customers to help
At this event, Red Hat announced OpenShift AI. It is a set of tools and features designed to help customers deploy models, monitor model accuracy, and improve AI model performance in production. So instead of trying to create the next AI algorithm, Red Hat aims to be the platform that enables customers to build and run AI models. One example is using AI models that are tailored for a specific domain, such as Ansible. It runs on trusted code, which helps eliminate biases that customers may experience with more generic Large Language Models (LLMs).
While it’s still a bit too early to predict how customers will respond to these generative AI innovations, Red Hat has a large use case with IBM (NYSE: IBM), which has developed a set of underlying models. Acquired as part of the current model. WatsonX on OpenShift AI.
Red Hat enhances the value of OpenShift with new developer user interface
At the summit, Red Hat announced the Developer Hub, a portal with enterprise-compliant APIs and templates designed to improve the developer experience on OpenShift. We see the launch of the Developer Hub as an important step in further liberating developers from mundane tasks such as cluster management and ultimately allowing them to focus on writing new code. I’m here.
Putting more developers in front of more developers with services like the Developer Hub will be key to Red Hat’s continued success, allowing us to not only sell OpenShift to more RHEL customers, but also to develop more developer-friendly services. It can also help win new business from companies overwhelmed by lack. Functionality included in some of the native tools on the market.
AWS and Microsoft Azure rise to the center of IT adoption, and Red Hat partners accordingly
At TBR, we discuss how leading hyperscalers Amazon Web Services (AWS) (Nasdaq: AMZN), Microsoft (Nasdaq: MSFT), and Google Cloud (Nasdaq: GOOGL) are partnering with pure PaaS platforms. I speak broadly. Discuss related opportunities and challenges.
One of Red Hat’s true testaments to its success is its ability to market as a neutral DevOps platform that is compatible with all major cloud platforms and even offers services including the new Developer Hub. There is no dispute as to its origin. On any Kubernetes platform other than OpenShift. This position allows Red Hat to evolve its relationships with leading hyperscalers to offer natively integrated cloud services such as Red Hat OpenShift on AWS (ROSA) and Azure Red Hat OpenShift (ARO). . This is attractive to customers because they can use their spending commitments on AWS and Azure and offload the management of their application development environment to Red Hat, AWS and Microsoft respectively.
We suspect that most of the business flowing through these integrated solutions is through self-managed deployments, led by AWS and then Microsoft. Unlike other services, Red Hat does not offer first-party integration services with Google Cloud. There are probably two reasons for this. First, Google Cloud does not have a strong business case to support this integration as he is relatively less mature compared to AWS and Microsoft. Second, Google Anthos offers features such as orchestration, logging, and observability, making it more competitive compared to Amazon Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS) compared to Red Hat OpenShift. A complete Kubernetes platform.
Naturally, AWS and Microsoft welcome this kind of relationship with Red Hat, as customers deploying OpenShift will increase their IaaS consumption on hyperscalers compared to EKS and AKS. Google Cloud, likewise, wants to maximize its customers’ use of the Google Cloud Platform, but the company is betting big on his Anthos, offering multi-cloud to differentiate itself from AWS and Microsoft. using his control plane.
As a result of these dynamics, we don’t expect the relationship between Red Hat and Google Cloud to go in the same direction as the relationship with the other two hyperscalers, and we believe both companies will continue to focus on customer support via managed services, at least for the foreseeable future. I think it will continue. future. This includes his OpenShift D dedicated, Red Hat’s fully managed OpenShift service that runs on Google or AWS infrastructure and is fully managed by Red Hat.
Conclusion
As the IT environment continues to evolve and emerge as a core component of business decisions, Red Hat leverages existing assets while providing the new tools needed to both simplify operations and develop applications more consistently. We provide solutions that address emerging use cases while serving our customers.
New products announced at the summit, such as OpenShift AI and Developer Hub, underscore this strategy by helping customers build and modernize their existing assets more effectively, as well as underpinning models, seamless It is designed to help you with the steps Red Hat can take to empower developers through a simple user interface. (UI) and sandbox trials may be enough to convert some of his RHEL customers to OpenShift who are looking to leverage generative AI.
(C) TBRI
