cloud
10 posts
2025-05-14
FinOps Automation with Policy-as-Code: Budgets That Enforce Themselves
A practical engineering deep dive on finops automation with policy-as-code with architecture patterns, implementation guidance, and production guardrails.
2024-12-15
GreenOps: Cutting Carbon, Not Reliability
A practical engineering deep dive on greenops with architecture patterns, implementation guidance, and production guardrails.
2024-07-09
Serverless GPU & Inference Routing: Patterns for Cost-Effective GenAI
A practical engineering deep dive on serverless gpu & inference routing with architecture patterns, implementation guidance, and production guardrails.
2024-06-19
Confidential Computing: Protecting Data-in-Use in the Cloud
A practical engineering deep dive on confidential computing with architecture patterns, implementation guidance, and production guardrails.
2023-07-08
Kubernetes Autoscaling: HPA, VPA, and Cluster Autoscalers in Practice
A practical engineering deep dive on kubernetes autoscaling with architecture patterns, implementation guidance, and production guardrails.
2022-11-05
Cost Optimization Deep Dive: Right-Sizing, Spot, and Savings Plans
A practical engineering deep dive on cost optimization deep dive with architecture patterns, implementation guidance, and production guardrails.
2022-08-15
Multi-Cloud Networking Patterns: Connectivity Without Complexity
A practical engineering deep dive on multi-cloud networking patterns with architecture patterns, implementation guidance, and production guardrails.
2021-11-07
FinOps for Engineers: Cost as a First-Class SLO
A practical engineering deep dive on finops for engineers with architecture patterns, implementation guidance, and production guardrails.
2021-09-01
Serverless Containers: The Sweet Spot Between FaaS and Kubernetes
A practical engineering deep dive on serverless containers with architecture patterns, implementation guidance, and production guardrails.
2021-04-02
Zero Trust for Cloud Workloads: Identity as the New Perimeter
A practical engineering deep dive on zero trust for cloud workloads with architecture patterns, implementation guidance, and production guardrails.