Deep dives on AI token optimization, multi-cloud cost architecture, detecting ghost infrastructure, and building high-efficiency distributed systems.
Cloud cost alone does not tell you whether infrastructure is efficient. Unit economics connects technology spend to business outcomes such as cost per customer, transaction, workload, or API request.
Dilanix Engineering
Engineering Team
Idle and oversized infrastructure can quietly increase cloud bills. Continuous rightsizing, autoscaling, and resource cleanup are core practices for keeping cloud environments cost-efficient.
AWS compute pricing is not one-size-fits-all. On-Demand, Savings Plans, Reserved Instances, and Spot Instances solve different cost and flexibility requirements.
Kubernetes Horizontal Pod Autoscaler can automatically adjust workload capacity based on observed metrics, helping applications respond to demand without permanently overprovisioning resources.
Metrics can show that something is wrong, but traces and logs often explain why. Modern observability combines multiple telemetry signals to understand distributed systems.
Unexpected cloud spend can grow quickly. Cost anomaly detection helps teams identify unusual spending patterns early and investigate the resources responsible.
Dilanix Engineering
Engineering Team
Dilanix Engineering
Engineering Team
Dilanix Engineering
Engineering Team
Dilanix Engineering
Engineering Team
Dilanix Engineering
Engineering Team
