How I imagine the future of databases in the Cloud

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • loki

    Like Prometheus, but for logs.

  • The Cloud allows your applications to be run anywhere and in a very scalable way. That's why my vision for the future database is to automatically discover the neighbor instances to share data and scale horizontally. And persist the data into an object storage service that is S3 API compatible like AWS S3, Digital Ocean Spaces, Scaleway Object Storage, Google Cloud Storage, etc... A good example of this kind of implementation is Grafana Loki, where all logs are stored into the Object Storage of your choice. You can read their interesting design doc.

  • RedisLess

    Discontinued RedisLess is a fast, lightweight, embedded and scalable in-memory Key/Value store library compatible with the Redis API.

  • RedisLess is an experiment to provide a fast, lightweight, embedded, and scalable in-memory Key/Value store library compatible with the Redis API. This project aims to check the feasibility of the principle listed above, and in a few days of works we succeed to have:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • engine

    The Orchestration Engine To Deliver Self-Service Infrastructure Faster ⚡️ (by Qovery)

  • Since I launched my company, I am obsessed with how my team and I can make the cloud easier for anyone. How can we help developers and businesses to deploy their apps as fast as possible in the cloud? Regardless of the specificities of the cloud service provider (CSP). How can we remove the unnecessary complexity of the cloud for most businesses? How can we build the future of the cloud? It is the obsession that I have, and I want to share my thoughts with you on how we can make the Cloud a better place for databases.

  • kubernetes

    Production-Grade Container Scheduling and Management

  • Note: Kubernetes is doing an amazing job to abstract the compute part - this is the standard defacto to run stateless applications - meaning, applications without data. However, running applications with data in a homogenous way across CSPs is still a huge challenge.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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