Data & Cloud Cost Optimization Webinar
Jinka, engineering Tomorrow's Solutions, Today.
https.//jinka.dev/
Nearly 28% of cloud spending goes to waste. Over-provisioned resources, idle infrastructure, and inefficient pricing models silently drain budgets every month. Most teams don't realize how much they're overpaying until they look under the hood.
In this 60-minute session, we'll walk through practical, cloud-by-cloud strategies to reduce your data infrastructure costs by 20 to 50%, with real pricing examples you can act on immediately.
What you'll learn:
Why data costs spiral out of control, and the four root causes behind it
How to optimize storage, compute, and query costs on AWS, Azure, and GCP
Smart pricing strategies like commitment discounts and reserved capacity
Simple wins in data formatting and pipeline design that cut costs right away
How to build a cost-aware culture across your engineering and data teams
00:00 Introduction
04:15 Why Data Matters
05:06 Where Most Companies Start
06:25 What Companies Want
07:57 What Is a FinOps Framework
10:01 The Cost Challenge
13:27 Jinka Case Study
17:16 Dropbox Case Study
18:12 Cloud Platform Strategies
21:40 Data Platform
27:51 Building the Economic Engine For AI
30:32 Key Takeways
32:55 Conlusion