Learn How Indeed Optimized Atlas Spending

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Senior Manager, Chitradeep Chakraborty, and Senior Cloud Data Engineer, Manan Shah, share their insights on effective strategies for managing Atlas costs. This session highlighted Indeed's proactive measures to reduce cloud expenditure through compute and storage optimizations, workload balancing, network compression, and deactivating idle clusters.

Speakers:
Chitradeep Chakraborty, Senior Manager, Indeed
Manan Shah, Senior Cloud Data Engineer, Indeed

⏱️ Timestamps ⏱️
Introduction and Background 00:00:00
The speakers introduce themselves and the company they represent, Indeed, and discuss the trend of moving from on-premise to cloud databases. They outline the purpose of the presentation, which is to share their experience in optimizing costs during their migration to MongoDB Atlas.

Migration and Cost Optimization Strategy 00:03:49
The timeline of migrating from their indigenous platform to MongoDB Atlas is shared, along with the observation of high costs post-migration. The speakers detail their strategy for cost optimization, including the use of their analytics platform to analyze billing data and identify key areas for cost reduction.

Cluster Optimization Techniques 00:07:41
The focus shifts to cluster optimization, where the speakers discuss the use of tools like Interrogator and Determinator to analyze clusters and generate recommendations for optimization. They also touch on CPU utilization, shard optimization, and replica optimization as methods to reduce costs.

Storage and Backup Cost Reduction 00:11:45
The speakers explain how they optimized storage costs by increasing disk sizes to get more IOPS and switching from provisioned IOPS to standard volumes. They also discuss how they saved on backup costs by using Atlas's cross-region backup feature instead of custom AWS solutions.

Premium Features and Idle Resource Management 00:15:54
The presentation covers the review of premium services and support, showing how switching to enterprise support reduced costs. Additionally, the speakers address the identification and decommissioning of idle resources as a straightforward way to cut expenses.

Results and Q&A 00:19:57
The speakers conclude by presenting the results of their cost optimization efforts, achieving a 27% reduction in costs. The session ends with a Q&A segment where the audience asks questions related to auto-scaling, network traffic costs, and the use of private endpoints and VPC peering.