Save Money and Scale Smartly with Buddha! 💰
Are you tired of paying for an expensive cluster tier that's running 24/7? With Buddha, you can scale your infrastructure to match your user workload, saving you money on a daily basis! 💸 Choose when you want to scale up and down, and enjoy cost savings without compromising. Try Buddha today and see the difference for yourself!
Configurable Scaling Options for Your App's Peak Hours 📈
Buddha offers flexible scaling options that let you decide when to scale up and down. Choose from specific days of the week, weekdays only, or never-ending scaling. It's easy to configure and saves you money! 💰
With Buddha, you can scale your infrastructure according to your app's workload, ensuring optimal performance and cost efficiency.
Effortless Cluster Management for Your Peace of Mind 😌
Managing scaling of multiple clusters can be a hassle, but not with Buddha! Our platform provides an easy-to-use interface that allows you to select your desired cluster and configure scaling with just a few clicks. Say goodbye to the complexity of managing multiple clusters and enjoy a more streamlined workflow. 💪 With Buddha, you can focus on developing your app while we take care of scaling the infrastructure.
Secure Your Data with Buddha's End-to-End Encryption 🔒
At Buddha, we understand the importance of data security. That's why we provide end-to-end encryption for all data stored in our platform. Neither do we access your data without permission, nor do we store your keys as-is. Enjoy peace of mind knowing that your data is secure and protected with Buddha! 🙏
Support
Experienced unmatched support. We're always there for you. Reach out with feedback/queries: contact@scalewithbuddha.com
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
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Scale With Buddha's answer
Buddha's only competitor is MongoDB Atlas at present, which doesn't allow you to customize auto-scaling.
Scale With Buddha's answer
Buddha allows you to save costs drastically when you have a predictable workload. You don't need to run expensive Atlas cluster tier if your users don't use it for 24 hours, at a fixed schedule!
Scale With Buddha's answer
Buddha can be used by software developers, architects, engineering managers, SRE, DevOps, etc, to cut-down costs on your Atlas clusters.
Scale With Buddha's answer
Personally, I have helped deploy MongoDB Atlas clusters for multiple businesses, and a majority of them had predictable workload. This germinated the idea of Buddha: scaling on schedule to save costs.
Scale With Buddha's answer
Javascript, MongoDB
Based on our record, Redis seems to be more popular. It has been mentiond 188 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Valkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open source Berkeley Software Distribution (BSD) 3-clause license after the Redis license changes. - Source: dev.to / 4 days ago
Many popular open source projects are beloved and closely tied to particular vendors. For example, web frameworks like React and Angular are associated with Meta and Google, respectively. Database software like MongoDB, Elasticsearch, and Redis are also tied to specific commercial entities but are widely used and praised for their functionality. When there is a clear driver of a project, it can offer some benefits:. - Source: dev.to / 5 days ago
One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / 16 days ago
Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq. - Source: dev.to / about 1 month ago
Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance. - Source: dev.to / about 2 months ago
MongoDB Atlas - The best way to host MongoDB in the cloud. Deploy on AWS, Azure, or Google Cloud Platform. Try it free!
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.