Azure Copilot Multi-Agent Setup

@talhaamin

I can help you set up similar setup in azure ai foundry, and make sure it is optimized Lets connect and get it rolling

@ludiac

Thanks for sharing the architecture diagram this gives a very clear picture of your current Bedrock AgentCore implementation. I can build the Azure-native equivalent using: • Azure AI Foundry for agent orchestration • Azure API Management as the secure MCP-style gateway • Azure Functions / Container Apps for tool execution • Microsoft Entra ID for inbound/outbound auth • Azure Key Vault for token vault + credential management • Azure Monitor / Application Insights replacing CloudWatch • Blob Storage replacing S3 where needed Flow would look like: GitHub Push → Azure AI Foundry Agent → APIM Gateway → Azure Functions/Tools → k6, Dynatrace, SpeedCurve, Teams, Jira integrations. I can also replicate: • OAuth2 resource credential provider flows • Token caching & workload identity • Streamable HTTP/MCP-style tool invocation • Multi-tool orchestration and observability pipelines • Secure enterprise-grade RBAC and API policies This can be implemented as a scalable, production-ready Azure architecture with reusable agent patterns for future AI workflows as well. Thanks.

@engruhulajom

Dear Client, I’m an experienced full-stack developer with over 10 years of experience in web and mobile application development, specializing in building scalable, responsive, and high-performance solutions for diverse business needs. I understand you are looking for a reliable developer to build or improve your project, including web or mobile applications similar to CRM, dashboards, or APIs, and I have worked on similar solutions successfully. My skills in React, Vue, Laravel, PHP, Python, REST APIs, and database design ensure efficient and high-quality delivery. Feel free to share more details or ask questions. I’m ready to refine my approach to match your exact requirements. Looking forward to working with you. Best regards, Md Ruhul Ajom

@letswork92

Hello, It seems you're looking to replicate a robust multi-agent setup in Azure similar to your existing AWS configuration. This transition is crucial as it ensures seamless integration of tools like LoadRunner, Dynatrace, and Jira, which are essential for performance monitoring and analysis. With over 12 years of experience in full-stack development and mobile app automation, I specialize in cloud migrations and orchestration using Azure services. I can help you build the Azure AI Foundry agents for orchestrating API Management efficiently while integrating necessary tools seamlessly. My expertise includes working with technologies such as Node.js for backend services, React.js for any frontend enhancements, and leveraging Azure Functions to automate processes effectively. Additionally, I have a strong background in API management that will ensure smooth communication between your components. Could you share more details about the specific challenges you're facing with the current setup or any particular features you'd like to enhance? Looking forward to your response!

@lakshithap1

My focus has primarily been on building dynamic applications, my broad skill set comprises AI development and Cloud computing. These skills make me a perfect fit for your project as they seamlessly align with your needs for agents built with Azure AI Foundry. During my tenure as an intern, I had the opportunity to hone my skills working on a similar system architecture that you've provided in the diagram. This gives me the advantage of understanding the nuances and challenges involved in pulling off this type of operation efficiently. I can confidently state that my ability to work both independently and collaboratively will ensure that all elements of your project are seamlessly incorporated, including API Management and integrating tools such as LoadRunner, Dynatrace, Lighthouse, Teams, Jira. Most importantly, I'm never complacent when it comes to gaining new knowledge and improving myself professionally. This drive propels me to stay informed about recent technologies and their application in solving real-world problems. Alongside this effort is my commitment to delivering high-quality work, which reflects in everything from front-end UI/UX design to intricate backend API management

@himanshus642

As a seasoned Full Stack Developer with a focus on creating robust and scalable applications, I am confident in my ability to migrate your existing Amazon bedrock agentcore setup to Azure while incorporating Azure AI Foundry. My extensive experience with cloud computing, specifically within Azure environments, positions me perfectly for this project. My expertise isn't limited to just replicating your existing system; I believe in adding value. I will tailor the new setup to ensure it's optimized for your specific use-case. Additionally, my proficiency in automating manual operations is an invaluable asset as it ensures smoother and more efficient processes. Lastly, but crucially, my AI development skills and deep understanding of API integration are well-suited for integrating the tools you need - LoadRunner, Dynatrace, Lighthouse, Teams and Jira - into your new Azure-based setup. You can count on me to comprehensively manage this multi-agent configuration while providing consistent updates and open lines for clear communication throughout the project lifecycle. Let's migrate to Azure smoothly with top performance and security in mind!

@srdjan9494

Hello, I see "Azure AI Foundry (agent orchestration)". I can mirror your existing AWS Bedrock AgentCore pipeline into a clean Azure-native architecture with equivalent orchestration and tool routing. I’d map GitHub push → Azure DevOps/GitHub webhook → AI Foundry agents → API Management gateway → Azure Functions tools, keeping each integration stateless so it scales like your current setup. I’ll start by reproducing your diagram 1:1 in Azure terms before implementation. Do you want strict 1:1 replication of every AWS tool (k6, Dynatrace, Jira, etc.) or are we allowed to consolidate some tools under Azure-native observability layers?

@RavenDetector

Hi, I am Everett, an experienced cloud and AI integration specialist. Your project involves replicating an existing AWS Bedrock multi-agent setup in Azure while leveraging Azure AI Foundry for agent orchestration. The goal is to enable agents to trigger on every GitHub push, process through Azure AI Foundry, route requests via API Management, and invoke appropriate Azure Functions and tools like LoadRunner and Dynatrace. To achieve this, I will architect and configure Azure AI Foundry to coordinate agents, set up API Management as the gateway, and implement Azure Functions to seamlessly integrate your monitoring and collaboration tools. This involves converting your AWS workflow into Azure-native services ensuring reliability and scalability. I can communicate in real time in your time zone and provide a working demo within 12 hours of starting. Q1: Do you have existing Azure subscriptions and resources prepared for this migration? Q2: What is the preferred authentication method for the API Management gateway? Q3: Are there any custom scripts or configurations in the AWS setup that must be ported exactly? What specific challenges have you faced with the current AWS setup that you want to improve in the Azure implementation? Best regards, Everett

@abela399

Hi, I’ve worked with cloud based AI agent orchestration and CI triggered automation flows, and this AWS to Azure mapping is mostly about designing the right control path between GitHub, Foundry agents, API Management, and tool APIs. Do you want the Azure setup to fully replace Bedrock AgentCore, or run in parallel first for comparison? I’d start by reviewing the current AWS diagram and identifying each agent, tool contract, and trigger point. Then I’d recreate the flow with GitHub webhooks or Actions, Azure AI Foundry for orchestration, API Management as the controlled gateway, and Azure Functions for tool wrappers around Dynatrace, Jira, Teams, Lighthouse, LoadRunner, and k6. I’d keep the first version simple, testable, and close to your existing setup so behavior is easy to validate. Kind regards, Abel

@DMarian13

Hello, I can help design and build the Azure equivalent of your current AWS Bedrock AgentCore Gateway setup using Azure AI Foundry for agent orchestration, APIM as the gateway layer, and Azure Functions/APIs for tool execution. I understand the target flow: GitHub push → Azure AI Foundry agent → API Management gateway → Azure Functions / tool APIs → LoadRunner, Dynatrace, Lighthouse, Teams, Jira My approach would be: 1. Review the existing AWS Bedrock AgentCore setup and tool flow. 2. Map each AWS component to the right Azure service. 3. Build the Azure AI Foundry analysis agent for code-push triggered workflows. 4. Configure GitHub webhook/GitHub Actions to invoke the agent on every push. 5. Use Azure API Management as the secure tool gateway. 6. Implement Azure Functions/connectors for LoadRunner, Dynatrace, Lighthouse, Teams, Jira, and other tools. 7. Add identity/auth using Microsoft Entra ID, managed identity, OAuth/API keys, and Key Vault. 8. Store logs, execution results, and audit data in Azure Monitor / Application Insights / Storage as needed. 9. Provide deployment documentation and a clean architecture diagram. I have experience with Azure integrations, API gateways, automation workflows, AI-assisted backend systems, Microsoft Graph/Teams integrations, REST APIs, serverless functions, and secure cloud architecture.

@pedrowilberthr2

Hello, and thank you for the clear brief on moving your multi-agent workflow to Azure. I will architect an Azure AI Foundry-based orchestration that mirrors your current AWS Bedrock agent core setup, with a robust API gateway via API Management, and a set of executable tools including LoadRunner, Dynatrace, Lighthouse, Teams, and Jira integrated as Azure Functions or APIs. The plan includes: 1) a secure, event-driven GitHub push trigger that activates Azure AI Foundry agents, 2) a modular agent-orchestration layer that coordinates tools and telemetry, 3) a scalable API Management gateway with strict access control and rate limiting, 4) fault-tolerant tool adapters and dashboards for monitoring, and 5) a migration path with minimal downtime and detailed rollback steps. I will also align with your required skill set, Cloud Computing, Software Architecture, GitHub workflows, Azure AI Foundry, and API Integration, to deliver a solution that is maintainable, auditable, and cost-aware.

@agustingonzalog

Hello, I can help you efficiently set up a multi-agent system in Azure Cloud similar to your existing Amazon Bedrock setup. I’ll ensure all components are properly integrated, including Azure AI Foundry for agent orchestration, API Management as the gateway, and integration with tools like LoadRunner, Dynatrace, and Jira. I'll also verify that everything works seamlessly after the setup and provide brief documentation on any changes made. Timeline: 3–4 days Goal: To deliver a functional, ready-to-use system for you—hassle-free. Ready to get started. Agustin

@codeandcommand

The tricky part here is making sure your Azure Copilot agent routing doesn't add latency that breaks your k6 benchmarks against the Bedrock gateway. I would map the existing endpoints first, then wire them into Copilot Studio via the API plugin layer. Can start today and have it running in 3 days. These numbers are based on the post as written. Final scope depends on what we find in the gateway config. Want to jump on a quick call?

@Sjtsresth

Hello, You want to replicate your existing Bedrock agent core gateway setup in Azure, keeping the same multi-agent workflow around performance, monitoring, and DevOps triggers. I can help you design and implement a clean Azure-native version that mirrors your current flow while using Azure AI Foundry for orchestration. From your description, you need GitHub pushes to trigger Azure AI Foundry agents, route through API Management, and fan out to Azure Functions that integrate with LoadRunner, Dynatrace, Lighthouse, Teams, and Jira. With 7+ years in full-stack and cloud solutions, I’ve built similar CI/CD-linked AI and automation pipelines across AWS and Azure. My approach: 1) Review your current Bedrock setup and diagram 2) Design Azure architecture and mapping of each tool 3) Implement and secure APIs, Functions, and AI Foundry agents 4) Test end-to-end with sample GitHub events and harden for production Looking forward to discussing your current architecture and timelines. Best regards, Sajat Prasad

@Mofizul21

Azure and GitHub are two of my strongest skills, making me the perfect fit for your Azure Copilot Multi-Agent Setup project. As a full-stack software engineer, I have successfully built and deployed scalable web and mobile applications on Azure Cloud platforms. I believe my technical expertise coupled with my experience of using RESTful API Development and managing third-party integrations, which aligns well with your needs, can contribute substantially to your project. Moreover, my database optimization and performance tuning skills will contribute to improved efficiency of the system. I understand the importance of clean architecture that prioritizes security while providing scalability. Concentrating on long-term business growth is also one of my niches ensuring that not only will the setup work today but it will easily scale as your business expands in the future. If chosen for this project, I promise to deliver high-quality results on time and within budget. Let's discuss further how we can make this be a reality for you!

@jordanrafael7

Hi, I can help you replicate and redesign your existing AWS Bedrock AgentCore workflow within the Azure ecosystem using Azure AI Foundry and Azure-native services. I have experience with cloud automation, AI orchestration, API integrations, GitHub-triggered workflows, and Azure services including Azure Functions, API Management, Logic Apps, and AI-based workflows. Based on your architecture, I can help build an Azure equivalent that supports automated analysis agents triggered on every GitHub push. Proposed Azure flow: GitHub Push → Azure AI Foundry (agent orchestration) → Azure API Management (gateway layer) → Azure Functions / integrated APIs / tools → LoadRunner / Dynatrace / Lighthouse / Teams / Jira integrations What I can help with: * Design Azure architecture equivalent to your Bedrock AgentCore setup * Build AI orchestration workflows in Azure AI Foundry * Configure API gateway and secure tool routing * Integrate monitoring/testing tools and collaboration systems * Implement GitHub-triggered automation pipelines * Improve observability, retries, logging, and reliability * Review your existing AWS diagram and map services to Azure equivalents I’m comfortable working with both cloud architecture and AI workflow orchestration, and I can start by reviewing your current AWS setup diagram to define the migration approach and implementation steps. Available to begin immediately.

@GenoraLabs

Hello, I see that you currently have an existing setup on Amazon's bedrock agent core gateway, hosting various tools and agents like k6, speedcurve, loadrunner, dynatrace, jira, and teams, with agents being invoked on each code push to GitHub. You are now looking to replicate a similar setup in Azure Cloud, specifically building analysis agents with Azure AI Foundry. I am confident in my ability to efficiently handle the migration of your existing setup to Azure Cloud while ensuring seamless integration and functionality. My experience with cloud platforms and agent orchestration will be instrumental in achieving this transition smoothly. Core Deliverables: - Replicate existing setup on Azure Cloud - Implement agent orchestration with Azure AI Foundry - Integrate tools like LoadRunner, Dynatrace, Lighthouse, Teams, and Jira in the new Azure environment I'll share my portfolio with you in the DM. Kindly ping me there. My expertise in cloud migration and agent orchestration will guarantee a high-quality and consistent delivery. I'd be happy to discuss your project further and answer any questions. Best regards, Malaika

@souravsasmal14

I am your guy for this project because of my extensive experience in cloud computing and software architecture. Having built numerous applications with their successful deployments, including those involving critical processes like load testing, monitoring, and issue tracking. I am confident in my abilities to bring your existing toolset over to the Azure cloud smoothly and effectively. Combining my strong grasp of Node.js and PHP with a Linux administration background, I understand the importance of a robust infrastructure for seamless application functionality. Beyond these technical skills, my experience working on Kubernetes clusters allows me to efficiently orchestrate and manage the agents needed for your new Azure AI Foundry setup. My testament lies not just in what I can do but how I do it. My commitment is to deliver clean code and rock-solid infrastructures – ensuring that your journey from GitHub push to Azure API Management will run as smoothly as possible. Let me bring the right combination of expertise, experience, and passion to make this project a success!

@nikunjtechgeek

Hello there, Replicating your Bedrock AgentCore pipeline inside Azure requires rebuilding the same event-driven orchestration flow across GitHub triggers, agent routing, tool execution, authentication, and observability while keeping multi-agent communication and external integrations stable under automated execution. I can structure the Azure-native setup with: • GitHub push-triggered execution flow • Azure AI Foundry agent orchestration • API Management gateway layer • Azure Functions/tool execution runtime • Entra ID authentication and token flow • Dynatrace, Jira, Teams, Lighthouse, k6 integration • Centralized logging, tracing, and execution monitoring You’ll receive a scalable Azure multi-agent pipeline with secure orchestration, tool invocation routing, API-layer abstraction, and automated analysis execution similar to your current Bedrock AgentCore architecture. Are the current Bedrock agents communicating through MCP/tool registry flow or direct Lambda invocation chaining? Best regards, Nikunj