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Operational Checklist: AI Inference Cost Optimization

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

KU
Kiril UrbonasAI & ML Engineer
|Feb 20, 2026
Operational Checklist: AI Inference Cost Optimization

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Monitoring183Security102AWS71Kubernetes69Terraform62Python60Linux50CI/CD49Ansible47LLM45

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Cloud Cost Monitoring: Tracking and Optimizing AWS Spending
••3 months ago

Cloud Cost Monitoring: Tracking and Optimizing AWS Spending

Learn how to monitor and optimize AWS costs using Cost Explorer, budgets, and tagging strategies.

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Kiril Urbonas·4 min read
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Multi-Region Deployment: Building Resilient Cloud Applications
••3 months ago

Multi-Region Deployment: Building Resilient Cloud Applications

Learn how to deploy applications across multiple AWS regions for high availability and disaster recovery.

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Kiril Urbonas·3 min read
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Architecture Review: SLO-Based Monitoring for APIs
••3 months ago

Architecture Review: SLO-Based Monitoring for APIs

SLO-Based Monitoring for APIs. Practical guidance for reliable, scalable platform operations.

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AWS Lambda Optimization: Reducing Costs and Improving Performance
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DevOps Metrics and KPIs: Measuring Success

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Blue-Green Deployments: Zero-Downtime Releases
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Learn how to implement blue-green deployments in Kubernetes for zero-downtime releases. Complete guide with examples.

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Architecture Review: Incident Response for Platform Teams
••3 months ago

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Log Aggregation Strategies: Centralizing Your Logs
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