Cloud
Cloud infrastructure, hyperscale Kubernetes, AI platforms, and managed services news.
11 articles
Build a Savings Plans Coverage Agent: Size AWS Compute Commitments from Cost Explorer Without Overbuying
Build an AWS Savings Plans coverage agent that reads Cost Explorer coverage, utilization and recommendations, then sizes commitments a human queues, never buys.
Build a CloudWatch Logs Cost Agent: Find Never-Expire Log Groups, Ingestion Hot Spots, and Debug Floods Before the Bill Does
Build a CloudWatch Logs cost agent that finds never-expire log groups, ingestion hot spots and debug floods, then ships retention fixes as Terraform PRs.
Build an S3 Storage Cost Agent: Lifecycle Rules, Intelligent-Tiering, and Orphaned Multipart Uploads Without Deleting the Wrong Data
Build an S3 storage cost agent that finds incomplete multipart uploads, noncurrent versions and untiered data, then ships lifecycle rules as Terraform PRs.
Build an IAM Right-Sizing Agent: Shrink Over-Permissive AWS Roles with Access Analyzer and Last-Accessed Data
Build an IAM right-sizing agent that reads Access Analyzer unused-permission findings and last-accessed data, then opens a provably narrower policy PR.
Build an AWS Network Cost Agent: Explain NAT Gateway and Cross-AZ Spend with VPC Flow Logs
Build an AWS network cost agent that reads VPC Flow Logs to explain NAT gateway and cross-AZ data transfer costs, then proposes ranked fixes — read-only.
Build an AWS Waste Reclamation Agent: Delete Unattached EBS Volumes, Idle Load Balancers, and Orphaned Snapshots Safely
Build an AWS waste reclamation agent that finds unattached EBS volumes, idle load balancers and orphaned snapshots, deleting only what a human tags approved.
Build an AWS Cost Anomaly Agent: Explain Bill Spikes with Cost Explorer and CloudTrail
Build an AWS cost anomaly agent that reads Cost Explorer anomalies, breaks down the spike by usage type, and correlates it with CloudTrail changes — read-only.
How to Backtest a Trading Strategy in Python: A Practical Backtrader Guide (2026)
A hands-on guide to backtesting trading strategies in Python with Backtrader. Real code for data feeds, indicators, order logic, and performance metrics like Sharpe and drawdown.
Kubernetes at Hyperscale: How AKS Automatic Powers OpenAI's 100,000-Node AI Infrastructure
Microsoft AKS just hit 100,000+ nodes powering OpenAI workloads. Inside the AKS Automatic architecture, node provisioning at hyperscale, and what it means for Kubernetes engineers.
Google OpenRL Brings Reinforcement Learning Fine-Tuning to Kubernetes Natively in 2026
Google's OpenRL framework lets you fine-tune AI models using Kubernetes-native reinforcement learning. A deep dive into the architecture, use cases, and what it means for MLOps.
FinOps for Kubernetes: Practical Cost Optimization in 2026
Cut your Kubernetes bill by 40-60% with FinOps best practices — Kubecost, spot instances, right-sizing, and workload bin packing with real kubectl commands and YAML examples.