Scale With Buddha – Schedule autoscaling of MongoDB Atlas clusters
gumroad.comBuddha allows MongoDB Atlas users to scale up to higher cluster tiers only during specific time windows when application usage is known to be high, rather than keeping expensive tiers running continuously. This approach is designed to reduce unnecessary spend by aligning cluster capacity with predictable demand periods.
The tool enables configuration of time-based schedules that control autoscaling behavior for Atlas clusters. By automating these schedules, Buddha helps optimize resource allocation and manage Atlas costs more efficiently.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSeo API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Scale With Buddha – Schedule autoscaling of MongoDB Atlas clusters mention score POST /v3/content_analysis/summary { "keyword": "Scale With Buddha – Schedule autoscaling of MongoDB Atlas clusters", "type": "llm_mentions", "date_from": "2025-01-01" }
