IBM & Red Hat on AWS

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 […]

Enterprise customers need cost-effective ways and additional security controls to monitor modern applications at scale. For example, organizations need to keep sensitive telemetry data private and manage network egress costs. IBM Instana Observability (Instana), a full-stack application performance monitoring solution, now supports AWS PrivateLink to address these requirements. With AWS PrivateLink integration, customers can monitor […]

IBM Db2 as a relational database is certainly not new to customers or on AWS. Recently Db2 has become available as an engine supported in Amazon Relation Database Service (RDS) with customers exploring shifting to managed and moving from their exiting Db2 or other engines to RDS for Db2. One consideration with RDS for Db2 […]

In today’s cloud-native world, organizations need an easy way to move and manage their containerized workloads between the cloud and on-premises data centers. Red Hat OpenShift enables enterprises to deploy and manage containerized workloads and virtual machines efficiently across hybrid environments, allowing teams to focus on application development rather than infrastructure management. For Red Hat OpenShift customers, Amazon […]

As organizations adopt cloud services, many are migrating, modernizing, and building new applications on AWS. These workloads often span multiple AWS services, like Amazon Elastic Compute Cloud (Amazon EC2) for compute, Amazon Simple Storage Service (Amazon S3) for storage, Amazon Aurora for databases, and Amazon API Gateway for application integrations. When using AWS services, organizations […]

A team of developers who worked their entire career on Windows have been tasked with running Microsoft SQL Server in a container on Linux. This seems like a daunting task, but wouldn’t it be easy if they had AI at your fingertips to help them through it. Customers can make use of Generative AI tools […]

Organizations implementing AI initiatives require effective security and governance mechanisms to manage their growing AI workloads. To address these requirements, IBM Guardium AI Security is now available as a Software-as-a-Service (SaaS) offering on AWS Marketplace. IBM Guardium AI Security provides visibility and protection for AI workloads running on AWS. It helps customers maintain an inventory […]