Category: IBM & Red Hat on AWS

From agentic AI-powered development environments to open-source Kubernetes innovation, here’s what Red Hat and AWS and Red Hat brought to Atlanta. Red Hat Summit 2026 marks a defining moment in the nearly 20-year AWS and Red Hat strategic collaboration. This year, our two companies will showcase the breadth and depth of a partnership that spans […]

By deploying applications on Red Hat OpenShift Service on AWS (ROSA), developers gain operational benefits through containerization, node auto-scaling, and elastic compute, but can still face instances of resource underutilization. To improve compute utilization and reduce costs for ROSA, Red Hat is offering Red Hat build of Karpenter, which is a fully-managed autoscaler based on […]

At IBM Think 2026, AWS and IBM will showcase the breadth and depth of our strategic collaboration spanning agentic AI, mainframe modernization, autonomous databases and enterprise automation. AWS is excited to be back at IBM Think as a Premier and Partner Plus Day sponsor. If you’re attending, we’d love to see you—here are several ways to […]

As digital expectations and AI powered decision making accelerate, organizations are modernizing mainframe applications to move faster, operate‑smarter, and fully realize the value of their core platforms. On the modernization journey, we are seeing customers choose a hybrid cloud strategy that offers a single integrated operating model, with common agile practices and interoperability of applications […]

Overview Customers have adopted Red Hat OpenShift Service on AWS (ROSA) due to it being a managed service. This means Red Hat manage OpenShift, ensuring the cluster is available and the customer can focus on what is critical to the business. Though this sounds great it still means the customer is responsible for the application […]

Running large language model (LLM) inference on AWS Inferentia and AWS Trainium chips requires an operator stack that integrates with Red Hat OpenShift. In a previous post, we introduced the AWS Neuron Operator for OpenShift. Since then, the operator has matured through continued collaboration between Red Hat and the AWS Neuron service team. It now […]

AI models produce better results when they operate on current data. This is especially true for agentic AI systems, which are software components that plan, decide, and act on behalf of users. When the underlying data is stale or incomplete, model outputs degrade and downstream actions become unreliable. With IBM‘s recent completion of its acquisition […]

Introduction Organizations across industries are adopting agentic AI to automate complex processes and reduce manual work. Enterprises are moving beyond simple AI assistants and building autonomous agents that plan, coordinate, and carry out complex business processes with minimal human intervention. These workflows span a wide range of use cases — including intelligent automation, real-time decision […]

Organizations are adopting cloud-based development environments to enhance collaboration, standardize workflows, and accelerate innovation. Red Hat OpenShift Dev Spaces provides developers with consistent, secure, containerized workspaces running on OpenShift, reducing the complexity of local environment setup and configuration drift. Meanwhile, Kiro represents a new generation of agentic IDEs that use AI to transform how developers […]

Effective vulnerability management requires fast detection, clear prioritization, and coordinated remediation as IT environments grow in complexity. Security teams need to detect, understand, and remediate issues at scale. Amazon Inspector delivers powerful automated scanning across your AWS workloads, giving you continuous visibility into risks as they emerge. IBM Concert builds on that foundation by helping […]