Cloud Cost Optimization for AWS, GCP & Azure by Tran Tien VanCloud Cost Optimization for AWS, GCP & Azure by Tran Tien Van
Cloud Cost Optimization for AWS, GCP & AzureTran Tien Van
Cover image for Cloud Cost Optimization for AWS, GCP & Azure
Your cloud bill keeps growing, but nobody can say which pipeline, job or AI call is driving it. I map every dollar of spend to the workflow and owner behind it, then fix the costly parts in code and infrastructure, not just in a report.
What you get
Spend audit on AWS, GCP or Azure, mapped to workloads and owners
Right-sizing of compute, storage lifecycle rules and a savings-plan strategy
Query tuning for BigQuery, Athena and Snowflake
LLM cost control: model routing, caching and smaller models where quality holds
Budgets, alerts and rollback paths so the savings last
Proof
Van Data Team cost engagements target a 20 to 60% cut in cloud spend, with reliability guardrails kept in place
Cut LLM cost by about 92% on a Slack sales-KPI reporting agent by moving the summary step to Claude Haiku
Production systems running on AWS ECS Fargate, GCP BigQuery and Azure
Timeline: a typical engagement runs 8 to 14 weeks. We can start with a fixed-scope spend audit.
Starting at$1,500
Duration2 weeks
Tags
AWS
Azure
GCP
Google BigQuery
Python
Snowflake
Terraform
Service provided by
Tran Tien Van proHo Chi Minh City, Vietnam
3
Followers
Cloud Cost Optimization for AWS, GCP & AzureTran Tien Van
Starting at$1,500
Duration2 weeks
Tags
AWS
Azure
GCP
Google BigQuery
Python
Snowflake
Terraform
Cover image for Cloud Cost Optimization for AWS, GCP & Azure
Your cloud bill keeps growing, but nobody can say which pipeline, job or AI call is driving it. I map every dollar of spend to the workflow and owner behind it, then fix the costly parts in code and infrastructure, not just in a report.
What you get
Spend audit on AWS, GCP or Azure, mapped to workloads and owners
Right-sizing of compute, storage lifecycle rules and a savings-plan strategy
Query tuning for BigQuery, Athena and Snowflake
LLM cost control: model routing, caching and smaller models where quality holds
Budgets, alerts and rollback paths so the savings last
Proof
Van Data Team cost engagements target a 20 to 60% cut in cloud spend, with reliability guardrails kept in place
Cut LLM cost by about 92% on a Slack sales-KPI reporting agent by moving the summary step to Claude Haiku
Production systems running on AWS ECS Fargate, GCP BigQuery and Azure
Timeline: a typical engagement runs 8 to 14 weeks. We can start with a fixed-scope spend audit.
$1,500