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How AI Agents Actually Run in Production (Bedrock AgentCore Explained)
🚀 How do AI agents actually run in production — securely, at scale, and without breaking everything?
In this video, we break down **Amazon Bedrock AgentCore Runtime** — the core infrastructure layer that powers enterprise-grade AI agents.
---
💡 What you’ll learn:
• What AgentCore Runtime is and why it matters :contentReference[oaicite:0]{index=0}
• How agents are deployed as containerized runtimes
• Versioning and rollback for safe deployments
• Endpoints and how traffic is routed to agent versions
• Sessions and isolated execution using microVMs
• Why session isolation is critical for security
• Inbound & outbound authentication (IAM, OAuth)
• How agents securely call external tools and APIs
• Streaming, async workloads, and WebSocket support
• MCP and A2A protocol support for advanced architectures
---
🧠 Key Insight:
AgentCore Runtime is NOT just hosting.
It provides:
• Isolation → Each session runs in its own microVM
• Security → No cross-session data leakage
• Scalability → Serverless execution with auto management
• Reliability → Versioning + endpoint control
---
📌 Core Concepts Explained:
🔹 Runtime
Containerized environment that executes agent logic
🔹 Sessions
Isolated interaction contexts with lifecycle (Active → Idle → Terminated)
🔹 Endpoints
Stable access points mapped to specific runtime versions
🔹 Versioning
Immutable snapshots for safe deployment and rollback
---
⚠️ Reality Check:
If you don’t understand runtime architecture:
→ Your agents won’t scale ❌
→ Security will break ❌
→ Observability will fail ❌
---
🏗️ Real-world use cases:
• Enterprise AI agents
• Multi-agent systems (A2A)
• MCP-based tool integrations
• Customer support automation
• Secure agent platforms
---
🔗 Topics covered:
Amazon Bedrock AgentCore Runtime, AI agent infrastructure, MCP, A2A, session isolation, AI security, GenAI architecture
---
#AWS #AmazonBedrock #AgentCore #AIArchitecture #GenAI #LLM #AgenticAI #CloudArchitecture #AIEngineering
Видео How AI Agents Actually Run in Production (Bedrock AgentCore Explained) канала Pushkar Mishra
In this video, we break down **Amazon Bedrock AgentCore Runtime** — the core infrastructure layer that powers enterprise-grade AI agents.
---
💡 What you’ll learn:
• What AgentCore Runtime is and why it matters :contentReference[oaicite:0]{index=0}
• How agents are deployed as containerized runtimes
• Versioning and rollback for safe deployments
• Endpoints and how traffic is routed to agent versions
• Sessions and isolated execution using microVMs
• Why session isolation is critical for security
• Inbound & outbound authentication (IAM, OAuth)
• How agents securely call external tools and APIs
• Streaming, async workloads, and WebSocket support
• MCP and A2A protocol support for advanced architectures
---
🧠 Key Insight:
AgentCore Runtime is NOT just hosting.
It provides:
• Isolation → Each session runs in its own microVM
• Security → No cross-session data leakage
• Scalability → Serverless execution with auto management
• Reliability → Versioning + endpoint control
---
📌 Core Concepts Explained:
🔹 Runtime
Containerized environment that executes agent logic
🔹 Sessions
Isolated interaction contexts with lifecycle (Active → Idle → Terminated)
🔹 Endpoints
Stable access points mapped to specific runtime versions
🔹 Versioning
Immutable snapshots for safe deployment and rollback
---
⚠️ Reality Check:
If you don’t understand runtime architecture:
→ Your agents won’t scale ❌
→ Security will break ❌
→ Observability will fail ❌
---
🏗️ Real-world use cases:
• Enterprise AI agents
• Multi-agent systems (A2A)
• MCP-based tool integrations
• Customer support automation
• Secure agent platforms
---
🔗 Topics covered:
Amazon Bedrock AgentCore Runtime, AI agent infrastructure, MCP, A2A, session isolation, AI security, GenAI architecture
---
#AWS #AmazonBedrock #AgentCore #AIArchitecture #GenAI #LLM #AgenticAI #CloudArchitecture #AIEngineering
Видео How AI Agents Actually Run in Production (Bedrock AgentCore Explained) канала Pushkar Mishra
amazon bedrock agentcore runtime agentcore runtime explained ai agent infrastructure llm runtime architecture ai agents aws agent session isolation agent endpoints aws genai architecture aws ai agent security mcp protocol ai a2a agents bedrock runtime tutorial cloud ai architecture ai agent deployment
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Информация о видео
13 апреля 2026 г. 6:38:16
00:06:48
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