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Monitoring That Actually Helps On-Call: Alerts, Dashboards, and Runbooks

How we went from 200 alerts per week (most ignored) to 15 actionable alerts with clear runbooks and useful dashboards.

InfrastructureMonitoringKubernetesTerraform
KU
Kiril urbonasDevOps Engineer and AI Enthusiast
|Apr 4, 2026
Monitoring That Actually Helps On-Call: Alerts, Dashboards, and Runbooks

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Monitoring291Terraform214AWS174Kubernetes129Python115Security112CI/CD111LLM102Ansible99Linux99

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Systemd Tricks We Use to Keep Services Boring
••7 months ago

Systemd Tricks We Use to Keep Services Boring

Concrete systemd unit patterns that reduced flakiness: restart policies, resource limits, and structured logs.

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AI Cost Optimization: Reducing LLM Inference Costs by 80%
••7 months ago

AI Cost Optimization: Reducing LLM Inference Costs by 80%

Learn proven strategies to reduce AI inference costs including model quantization, caching, batching, and efficient prompt design. Real-world cost savings examples.

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Kiril Urbonas·4 min read
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Architecture Review: Linux Performance Baseline Methodology
••7 months ago

Architecture Review: Linux Performance Baseline Methodology

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

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Kiril Urbonas·4 min read
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How We Stopped Terraform Drift from Surprising On-Call
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Kiril urbonas·1 min read
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