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

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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Practical Guide: Systemd Service Reliability Patterns
••February 5, 2024

Practical Guide: Systemd Service Reliability Patterns

Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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AWS Cost Optimization: 10 Strategies to Reduce Your Cloud Bill
••February 5, 2024

AWS Cost Optimization: 10 Strategies to Reduce Your Cloud Bill

Discover proven strategies to reduce AWS costs by up to 50%. Learn about Reserved Instances, Spot Instances, right-sizing, and automated cost management.

KU
Kiril Urbonas
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Building Production-Ready AI Applications with LangChain and Docker
••February 3, 2024

Building Production-Ready AI Applications with LangChain and Docker

Learn how to containerize and deploy LangChain applications in production. Best practices for scaling, monitoring, and maintaining AI-powered services.

KU
Kiril Urbonas
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Practical Guide: Linux Performance Baseline Methodology
••February 1, 2024

Practical Guide: Linux Performance Baseline Methodology

Linux Performance Baseline Methodology. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Kubernetes Autoscaling: HPA vs VPA vs Cluster Autoscaler
••February 1, 2024

Kubernetes Autoscaling: HPA vs VPA vs Cluster Autoscaler

Master Kubernetes resource management with Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and Cluster Autoscaler. Learn when to use each and how to configure them for optimal performance.

KU
Kiril Urbonas
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Practical Guide: Cloud Disaster Recovery Runbook Design
••January 28, 2024

Practical Guide: Cloud Disaster Recovery Runbook Design

Cloud Disaster Recovery Runbook Design. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: AWS Cost Control with Tagging and Budgets
••January 24, 2024

Practical Guide: AWS Cost Control with Tagging and Budgets

AWS Cost Control with Tagging and Budgets. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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Practical Guide: Ansible Role Design for Large Teams
••January 21, 2024

Practical Guide: Ansible Role Design for Large Teams

Ansible Role Design for Large Teams. Practical guidance for reliable, scalable platform operations.

KU
Kiril Urbonas
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