Set up cloud cost forecasting and budget alerts across AWS, Azure, and GCP. Includes Terraform configs, Python forecast scripts, and FinOps best practices for accurate cost prediction in 2026.
Learn how to save up to 72% on cloud compute with commitment-based discounts across AWS, Azure, and GCP. Covers Savings Plans, Reserved Instances, CUDs, CLI commands, and multi-cloud commitment strategies.
Cut your non-production cloud spend by 60-70% using automated scheduling, scale-to-zero Kubernetes policies, and Terraform configurations across AWS, Azure, and GCP dev/test environments.
Your CI/CD pipeline might cost more than your production infrastructure. Cut GitHub Actions, GitLab CI, and AWS CodeBuild costs by 70-90% using Spot instance runners, aggressive caching, and right-sizing — with working code you can deploy today.
Save 70–90% on cloud compute with spot instances across AWS, Azure, and GCP. Includes production-ready Terraform configs, Karpenter node pool strategies, and battle-tested interruption handling patterns.
Poorly tagged cloud environments waste 40% more than well-tagged ones. This guide provides working Terraform code and cloud-native policies to enforce cost allocation tags across AWS, Azure, and GCP — plus scripts to measure compliance and auto-remediate tag drift.
Hunt down zombie cloud resources across AWS, Azure, and GCP with ready-to-use CLI commands. Covers unattached volumes, orphaned IPs, idle instances, and automation scripts to prevent waste from recurring.
Build automated cloud cost policy enforcement into your Terraform CI/CD pipeline using Infracost, Open Policy Agent, and Conftest — with working Rego policies and a complete GitHub Actions workflow.
Learn how to set up cloud cost anomaly detection across AWS, Azure, and GCP with Terraform, Slack integration, and automated alert pipelines. Includes working code, a multi-cloud comparison, and best practices for catching cost spikes early.
Build an automated Kubernetes chargeback and showback pipeline using OpenCost, cloud-native tools (AWS SCAD, GKE Cost Allocation, AKS Cost Analysis), and Grafana for namespace cost attribution with weekly reporting.
Compute accounts for 30–70% of cloud spending, making it your biggest optimization opportunity. This guide covers right-sizing, commitment discounts, spot instances, ARM processors, scheduling, and auto-scaling across AWS, Azure, and GCP — with scripts and strategies to cut your bill by 50% or more.
Hidden serverless costs from API Gateways, NAT Gateways, and CloudWatch logs can inflate bills by 5x. Learn practical strategies to cut your AWS Lambda, Azure Functions, and Cloud Run costs by 40-70%.
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