𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀

𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀

Enterprise AI needs resilience. You must choose the right architecture. Each path has trade-offs.

Single Agent Systems

• Easy to debug.
• Low latency.
• Low overhead.
• Risk: One crash stops the system.
• Use for: Small deployments.

Microservices

• Scale parts separately.
• Use different tools.
• Isolate failures.
• Risk: High network complexity.
• Use for: Large teams.

Service Mesh

• Automatic retries.
• High security.
• Better tracing.
• Risk: Hard to learn.
• Use for: Cloud-native teams.

Serverless

• Auto scales.
• Pay for use.
• Low operations.
• Risk: Slow start times.
• Use for: Event-driven work.

Pick your path based on:

• Acceptable downtime.
• Speed needs.
• Traffic spikes.
• Team skills.
• Budget.

No one size fits all. Start simple. Grow as your needs change.

Source: https://dev.to/dorjamie/resilient-ai-agents-comparing-architectural-approaches-for-enterprises-1lem Optional learning community: https://t.me/GyaanSetuAi