IBM & Red Hat on AWS

Organizations today rely on FinOps principles and practices to stay on top of cloud usage and costs by minimizing waste and maximizing efficiency. Year after year, the State of FinOps report from the FinOps foundation surfaces that though this is the case, getting engineers to take action on rightsizing resources continues to be a top […]

The Telco Network Cloud (TNC) is a Red Hat reference architecture used by telecommunications operators to deploy telecommunications network functions on Red Hat OpenShift Platform. This reference architecture provides a central OpenShift cluster to manage the different OpenShift clusters that are deployed across the network for hosting the different 4G / 5G Core and RAN […]

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Red Hat OpenShift Service on AWS (ROSA) is a turnkey platform built by Red Hat and AWS to help you build and manage containerized applications while reducing infrastructure management overhead. ROSA provides integrated tools for application development, container orchestration, and deployment automation. Recent updates include the ability to manage virtual machines on bare metal instances side by side with your containers, as well as AI model deployment support.  This blog […]

Organizations building AI applications need unified access to structured and unstructured data while maintaining governance and control. Data scientists, engineers, and AI developers require tools that help them extract value from diverse data sources across environments. IBM watsonx.data on AWS addresses these needs with new features that expand its capabilities. Customers can now access the […]

Modern observability tools generate substantial data about application performance, infrastructure health, and system behavior. However, accessing this data typically requires navigating dashboards, constructing API queries, or switching between multiple tools. IBM Instana Observability (Instana) MCP server provides conversational AI interactions that transform observability workflows into natural language conversations. The Model Context Protocol (MCP) is an […]

AI agents built with Amazon Bedrock AgentCore (AgentCore) autonomously reason, act, and orchestrate multi-step workflows to solve complex business problems. As organizations deploy these agents in production, comprehensive observability becomes essential for understanding agent behavior, diagnosing issues, and optimizing performance. Customers using IBM Instana Observability (Instana) on Amazon Web Services (AWS), can send AgentCore telemetry […]

Organizations running large-scale AWS workloads across hundreds of accounts, need an efficient way to analyze and visualize Amazon CloudWatch metrics without increasing operational costs or adding latency. While traditional API polling methods work well for many use cases, organizations need to optimize performance and cost when handling thousands of metrics at high frequency. IBM Instana […]

In a previous blog, we introduced an exciting feature in the Trident 25.02 release that simplifies preparing worker nodes of an OpenShift Cluster for iSCSI workloads. This enhancement eliminates the need for manual preparation, streamlining the process for Kubernetes cluster worker nodes and benefiting users of Red Hat OpenShift Service on AWS (ROSA). With this feature, […]

Enterprises deploying AI agents across business functions are working to unify automation, strengthen governance, and simplify integration. To deliver business value, AI agents require the ability to coordinate across systems and maintain consistent security controls. Achieving this requires orchestration capabilities that enable agents to work together effectively, reducing manual processes and extending AI investments across […]