IBM & Red Hat on AWS

Security auditing in ROSA using AWS observability services

As customers increasingly onboard and manage container-based workloads within Red Hat OpenShift Service on AWS (ROSA) clusters, it has become critical to rapidly improve application and infrastructure security posture across teams and services. ROSA allows platform owners to create turnkey application platforms in minutes. Developers then use it to deploy a range of workloads, including […]

Accelerating Code Conversion with Amazon SageMaker and IBM Granite Code models

As enterprises modernize their mission-critical applications to adopt cloud-native architectures and containerized microservices, a major challenge is converting legacy monolithic codebases to modern languages and frameworks. Manual code conversion is extremely time-consuming, expensive, and error prone. Fortunately, recent advances in large language models (LLMs) for code have opened up new possibilities for AI-assisted code conversion […]

Unlocking Transformative Benefits of Modernizing VMware workloads to Red Hat OpenShift on AWS

In today’s rapidly evolving technological landscape, enterprises are seeking ways to modernize and migrate their VMware workloads and virtual machines (VMs) to the cloud. One such approach that has gained traction is the migration of traditional virtual machines (VMs) to containerized environments like Red Hat OpenShift on Amazon Web Services (AWS) or directly migrate to […]

IBM Fusion on AWS Marketplace

Announcing IBM Storage Fusion on AWS

Announcing IBM Storage Fusion on AWS Customers needs are constantly evolving, weather it is modernizing applications and process by adopting container workloads, providing new AI solutions, or migrating existing software investments to the cloud, there is always a need to storage and data protection. IBM Storage Fusion provides a collection of services to compliment the […]

Optimize Messaging with IBM MQ on Red Hat OpenShift Service on AWS

Businesses rely on multiple applications and data sources to keep their operations running smoothly. Effective messaging between these systems is an important aspect for keeping the business running, managing IT strategy, digital transformation, and application modernization. As companies migrate and modernize on Amazon Web Services (AWS), they need to modernize their messaging infrastructure as well. […]

Deploy Red Hat OpenShift AI on AWS for Scalable AI/ML Solutions

As businesses continue to adopt artificial intelligence and machine learning (AI/ML) to innovate and strengthen their competitive advantage, they look for efficient ways to build, deploy, and manage the necessary infrastructure and workloads. However, managing the infrastructure for these technologies can be complex and time-consuming. Companies need a solution that simplifies deployment and scales with […]

Building integration APIs with IBM Cloud Pak for Integration and AWS services

In today’s interconnected world, customers need seamless integration between their mission-critical applications, systems, and services. IBM Cloud Pak for Integration (CP4I) when combined with Amazon Web Services (AWS) services, can help address these integration challenges. In this blog, you will learn how to use CP4I, deployed on Red Hat OpenShift Service on AWS (ROSA), to […]

Enterprise Integration with IBM Cloud Pak for Integration on Red Hat OpenShift Service on AWS

Integration between applications is a critical aspect of an enterprise’s IT infrastructure. When applications and data are kept in separate silos, it can complicate information exchange and affect operational efficiency and business agility. Addressing these integration challenges is important for an organization’s digital transformation journey. IBM Cloud Pak for Integration (CP4I) and Red Hat OpenShift […]

Monitoring Amazon Aurora databases with IBM Guardium

In an ever-changing IT landscape where data resides in multiple data sources, it is crucial to have a well-defined monitoring strategy and tools to protect your data. In order to monitor traffic in a traditional database implementation, you would typically install an agent in the database server. The agent would then collect the information from […]