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

Practical Guide: Infrastructure Drift Detection Workflow
••March 11, 2024

Practical Guide: Infrastructure Drift Detection Workflow

Infrastructure Drift Detection Workflow. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: Multi-Cluster Traffic Routing Strategies
••March 7, 2024

Practical Guide: Multi-Cluster Traffic Routing Strategies

Multi-Cluster Traffic Routing Strategies. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: Kubernetes Secrets and External Vault Integration
••March 3, 2024

Practical Guide: Kubernetes Secrets and External Vault Integration

Kubernetes Secrets and External Vault Integration. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: Python Worker Queue Scaling Patterns
••February 29, 2024

Practical Guide: Python Worker Queue Scaling Patterns

Python Worker Queue Scaling Patterns. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: Model Serving Observability Stack
••February 25, 2024

Practical Guide: Model Serving Observability Stack

Model Serving Observability Stack. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: RAG Retrieval Quality Evaluation
••February 21, 2024

Practical Guide: RAG Retrieval Quality Evaluation

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

KU
Kiril Urbonas
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Practical Guide: Prompt Versioning and Regression Testing
••February 17, 2024

Practical Guide: Prompt Versioning and Regression Testing

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

KU
Kiril Urbonas
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Practical Guide: LLM Gateway Design for Multi-Provider Inference
••February 13, 2024

Practical Guide: 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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Fine-tuning Large Language Models: A Practical Guide
••February 12, 2024

Fine-tuning Large Language Models: A Practical Guide

Learn how to fine-tune LLMs like Llama 2, Mistral, and GPT models for your specific use case. Includes LoRA, QLoRA, and full fine-tuning techniques.

KU
Kiril Urbonas
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Practical Guide: Kernel and Package Patch Management
••February 10, 2024

Practical Guide: Kernel and Package Patch Management

Kernel and Package Patch Management. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Infrastructure as Code: Terraform vs Pulumi vs Ansible
••February 10, 2024

Infrastructure as Code: Terraform vs Pulumi vs Ansible

Compare Terraform, Pulumi, and Ansible for Infrastructure as Code. Learn when to use each tool and how they complement each other in modern DevOps workflows.

KU
Kiril Urbonas
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Linux System Monitoring with Prometheus and Grafana
••February 7, 2024

Linux System Monitoring with Prometheus and Grafana

Set up comprehensive Linux system monitoring using Prometheus and Grafana. Monitor CPU, memory, disk, network, and application metrics with beautiful dashboards.

KU
Kiril Urbonas
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