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Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.

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Real-World RAG Incidents: Lessons from a Production Rollout
••April 11, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••April 4, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••March 28, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••March 22, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Troubleshooting: RAG Retrieval Quality Evaluation
••March 17, 2025

Troubleshooting: RAG Retrieval Quality Evaluation

RAG Retrieval Quality Evaluation. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••March 15, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Troubleshooting: Prompt Versioning and Regression Testing
••March 13, 2025

Troubleshooting: Prompt Versioning and Regression Testing

Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Troubleshooting: LLM Gateway Design for Multi-Provider Inference
••March 9, 2025

Troubleshooting: LLM Gateway Design for Multi-Provider Inference

LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••March 8, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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Real-World RAG Incidents: Lessons from a Production Rollout
••March 1, 2025

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

KU
Kiril urbonas
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AI Agents in DevOps: From Copilots to Autonomous Automation in 2025
••February 28, 2025

AI Agents in DevOps: From Copilots to Autonomous Automation in 2025

How AI agents are moving from read-only copilots to autonomous automation with guardrails. Best practices for approval gates and rollback.

KU
Kiril urbonas
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Field Notes: AI Inference Cost Optimization
••January 26, 2025

Field Notes: AI Inference Cost Optimization

AI Inference Cost Optimization. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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