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In this MongoDB video, we'll explore how to leverage Atlas for improved cost management. We'll dive into the story of Bob, a ACM Corp developer tasked with optimizing the company's MongoDB Atlas usage to reduce costs without compromising performance or user experience. This session is packed with practical tips and strategies for cost optimization, demonstrating how Atlas can be a game-changer for businesses looking to streamline their database infrastructure expenses.
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⏱️ Timestamps ⏱️
Introduction and Context [
00:00:00 -
00:02:46]
Brief description: The speaker introduces themselves and sets the stage by presenting the characters Bob, the developer, and Alice, his manager, who work at ACM Corp, an online pet store experiencing growth and facing cost optimization challenges.
The Cost Optimization Plan [
00:02:46 -
00:05:29]
Brief description: Bob devises a three-step plan for cost optimization, which includes analyzing spend, optimizing workloads, and optimizing cluster costs. The speaker details Bob's approach to each step.
Analyzing Spend and Workload Optimization [
00:05:29 -
00:09:17]
Brief description: Bob begins by analyzing the company's spending patterns and then moves on to workload optimization, using the Atlas performance advisor and index management to improve query efficiency.
Cluster Cost Optimization - Compute [
00:09:17 -
00:13:09]
Brief description: Bob focuses on optimizing compute costs by utilizing Atlas features like autoscaling and pausing non-production clusters during off-hours, as well as isolating analytics workloads.
Cluster Cost Optimization - Storage and Networking [
00:13:09 -
00:20:54]
Brief description: The speaker explains how Bob addresses storage cost optimization by leveraging new Atlas features for Azure storage and extended storage options, as well as reducing storage size after data migrations.
Final Adjustments and Results [
00:20:54 -
00:16:45]
Bob makes final adjustments to networking to further reduce costs and shares the successful results with Alice, leading to his promotion. The speaker concludes with lessons learned and upcoming Atlas features.
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