IBM & Red Hat on AWS

IBM watsonx Orchestrate, Instana, and API Connect for GraphQL now available in AWS Marketplace AI Agents and Tools category

As organizations increasingly adopt AI capabilities, the focus is shifting from simple generative AI responses to sophisticated AI Agents that can act autonomously on behalf of users. Businesses need effective tools to build, deploy, and manage AI solutions that can independently accomplish goals requiring reasoning, judgment, and adaptable use of resources.

Three IBM solutions – watsonx Orchestrate, Instana Observability, and API Connect for GraphQL – are now available in the AI Agents and Tools category of AWS Marketplace. These solutions help you build GraphQL APIs and Model Context Protocol (MCP) servers, observe AWS environments in real-time, and build enterprise-grade AI assistants using your AWS account.

“By offering IBM watsonx Orchestrate in AWS Marketplace, we’re providing customers with a streamlined way to access our solution to orchestrate AI agents, assistants, and workflows across their businesses. This helps our customers buy and deploy agent solutions faster and more efficiently,” said Matt Sanchez, Vice President, Product, watsonx Orchestrate at IBM. “Our customers are already using these capabilities across functions like HR, Procurement, Sales, and Customer Experience to reduce manual work, enable faster decision making and drive a more efficient business at scale, demonstrating the real-world value of watsonx Orchestrate.”

watsonx Orchestrate

IBM watsonx Orchestrate, available as a Software-as-a-Service (SaaS) in AWS Marketplace, helps you build AI Agents that work together to automate complex business tasks. Using its no-code agent builder, you can quickly deploy multi-agent orchestration for HR, sales, procurement, and customer service workflows without specialized AI expertise. The solution accelerates business process automation by connecting to your existing enterprise systems, reducing manual effort, speeding up decisions, and orchestrating AI agents across business workflows (Figure 1).

Web interface of IBM watsonx Orchestrate showing how users can discover and AI agents and tools.

Figure 1. AI Agents connect users to the right workplace assistants to complete tasks efficiently.

With support for MCP and Agent-to-Agent (A2A) protocol for enhanced collaborator integration, watsonx Orchestrate provides streamlined agent communication allowing multiple agents to work together on complex business tasks. This enables customers to seamlessly integrate with over 80 enterprise applications including Amazon Simple Storage Service (Amazon S3), Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), Amazon Simple Email Service (Amazon SES), AWS Lambda, and Amazon CloudWatch while deploying AI Agents on AWS.

With watsonx Orchestrate, you can design AI Agents to help automate repetitive processes across your organization. These agents can assist with tasks such as customer service inquiries, employee onboarding workflows, procurement processes, and sales operations. By subscribing to watsonx Orchestrate through AWS Marketplace, you can reduce manual workloads, minimize errors, and allow your employees to focus on higher-value strategic activities, all while maintaining enterprise-grade security and AI governance through watsonx Orchestrate’s built-in capabilities.

Instana Observability

IBM Instana Observability, available as SaaS in AWS Marketplace, helps organizations monitor both traditional applications and AI-powered workloads with automated, real-time observability. The solution features Intelligent Incident Investigation that uses agentic AI to accelerate incident resolution through automated analysis, delivering comprehensive insights into application performance and AI Agent behavior without requiring manual configuration or instrumentation (Figure 2).

Instana console showing how users can use the AI Agent feature to perform incident investigation.

Figure 2. Instana’s AI Agent for incident investigation.

Instana delivers several monitoring capabilities, including observability for MCP (Figure 3), AI Agent framework, agent interactions, and automated 1-second metrics collection with unsampled distributed tracing. These features enable customers to visualize AI Agent decision flows, monitor tool usage patterns, track model performance, and quickly identify root causes of performance issues across complex microservice architectures.

Instana dashboard showing the AI Agent observability capabilities getting the list of tools available in MCP Servers.

Figure 3. Instana AI Agent observability with the list of tools available in MCP Servers.

With support for OpenTelemetry and integrations for Amazon Bedrock (Figure 4), and other AWS services, Instana helps teams maintain application reliability while gaining actionable insights across their entire technology stack.

Diagram showing the architecture for Amazon Bedrock observability with IBM Instana.

Figure 4. Architecture for Amazon Bedrock observability with IBM Instana.

Whether deployed as SaaS or on your AWS account, Instana’s zero-configuration approach and AI-powered analytics reduce mean time to resolution (MTTR) and help organizations optimize resource utilization across Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Compute Cloud (Amazon EC2), Red Hat OpenShift Service on AWS (ROSA), and other AWS services.

API Connect for GraphQL

IBM API Connect for GraphQL as a Service helps organizations build GraphQL APIs and MCP Servers for diverse data sources in minutes, deploy them in seconds, and run them securely at scale, enabling customers to deliver a flexible GraphQL API layer in days rather than weeks or months. It delivers essential capabilities including declarative building blocks for composing GraphQL schemas and federated graphs, an in-memory Golang-based optimization engine, and seamless connectivity to multiple backend data sources (SQL, NoSQL, REST, SOAP/XML, GraphQL). These features enable customers to create concise, performant APIs and MCP Servers with minimal coding while automatically handling complex optimizations like caching, memorization, and parallelization (Figure 5).

Web interface of IBM API Connect for GraphQL showing how to create APIs and MCP Servers for your data sources.

Figure 5. Create APIs and MCP Servers for your data sources with API Connect for GraphQL.

Available as a fully managed SaaS solution on AWS, IBM API Connect for GraphQL supports MCP for streamlined agent communication. This enables customers to expose their enterprise data for applications and AI Agents with minimal backend load while maintaining strong security controls and high performance across their AWS environment.

Summary

With the availability of AI Agents and Tools in AWS Marketplace, customers can significantly accelerate their procurement process to drive AI innovation, reducing the time needed for vendor evaluations and complex negotiations. With centralized purchasing using AWS accounts, customers maintain visibility and control over licensing, payments, and access through AWS.

IBM watsonx Orchestrate creates AI Agents that automate complex business tasks without requiring code. IBM Instana Observability monitors applications and AI workloads with real-time insights and agentic AI-driven incident investigation. IBM API Connect for GraphQL builds APIs and MCP Servers that quickly connect diverse data sources to applications and AI Agents with minimal coding requirements. These solutions from IBM are now available in the AI Agents and Tools category in AWS Marketplace.

Visit the AWS Marketplace and get started with IBM solutions on AWS

To learn more about the new Agents and Tools category in AWS Marketplace, visit https://aws.amazon.com/marketplace/solutions/ai-agents-and-tools/.

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About IBM

IBM is a global technology innovator, leading advances in AI, automation and hybrid cloud solutions that help clients solve their business problems.

Eduardo Monich Fronza

Eduardo Monich Fronza

Eduardo Monich Fronza is a Partner Solutions Architect at AWS. His experience includes Cloud, solutions architecture, application platforms, containers, workload modernization, and hybrid solutions. In his current role, Eduardo helps AWS partners and customers in their cloud adoption journey.

Karan Sachdeva

Karan Sachdeva

Karan is the Global Business Development Leader for Strategic Partnerships at IBM, where he designs and executes transformative sales and partner programs, including IBM and AWS.

Sumesh Raghavan

Sumesh Raghavan

Sumesh Raghavan is a Senior Business Development Manager at AWS. In this role, he leads large-scale build and go-to-market initiatives with Strategic Partners to create solutions leveraging Generative AI, Data Analytics, and AI/ML products. Sumesh brings over 15 years of experience in sales and business development across diverse industries, including high-tech, retail, healthcare, and media.

Vishwani Dua

Vishwani Dua

Vishwani Dua is the CTO for the IBM AWS Partnership at IBM, where she is responsible for driving the technical strategy across IBM & AWS portfolios and building innovative solutions for our clients. She has been building AI solutions for over 12 years and has held technical leadership roles across Development, Pre & Post-Sales, Technical Sales, Operations.