All posts
Fearlessly Handling BigKeys with Dragonfly
Wrestling with BigKeys is hardly an issue when using Dragonfly, the groundbreaking in-memory data store. You can use BigKeys in Dragonfly if they are necessary to your server applications, fearlessly.
Running the Feast Feature Store with Dragonfly
In this blog post, we explore the seamless integration of Dragonfly as a drop-in replacement for Redis in Feast—an acclaimed feature storage and server project widely recognized in the machine learning domain. With just some simple steps, we unveil the...
The Unbearable Lightness of Horizontal Scaling
This post explores the limitations of horizontal scaling in terms of cluster reliability, load distribution, and cloud over-commitment. It also outlines design decisions that were made to allow Dragonfly, a drop-in Redis replacement, to scale vertically in order to handle...
Zero Downtime Migration from Redis to Dragonfly using Redis Sentinel
In this blog post, you will learn how to migrate from Redis to Dragonfly using Redis Sentinel.
Monitoring In-Memory Data Stores
This blog post covers monitoring in-memory data stores, focusing on Dragonfly. Learn how to use Prometheus and Grafana to monitor Dragonfly metrics and visualize them on a dashboard. Explore memory consumption, client-side metrics, server metrics, and more.
Leveraging the power of Lua scripting with Dragonfly
This post explores how Dragonfly improves the Lua scripting experience by solving common issues and introducing new interesting features
We’re Ready for You Now: Dragonfly In-Memory DB Now Supports Replication for High Availability
Dragonfly, an in-memory database that can be a drop-in Redis replacement, now supports replication for high availability in its version 1.0 release.
Migrating from a Redis Cluster to Dragonfly on a single node
In this blog post, you will learn how to migrate data from a Redis Cluster to a single-node Dragonfly instance.
Rate Limiting with Dragonfly
Rate Limiters are used in software development to regulate the rate of executing actions or accessing resources.
Announcing the Kubernetes Operator for Dragonfly
We are thrilled to announce the latest addition to our in-memory data store - the Kubernetes operator for Dragonfly!
Building a Background Processing Pipeline with Dragonfly
In this blog post, you will learn how to use Redis Lists to build a background processing pipeline with Dragonfly.
Dragonfly Is Production Ready (and we raised $21m)
We are pleased to announce that Dragonfly 1.0, the most performant in-memory datastore for cloud workloads, is now generally available.
Top 5 Reasons Why Your Redis Instance Might Fail
In this article, we will explain the main reasons why your Redis instance might fail, and provide advice to avoid this.
Redis vs. Dragonfly Scalability and Performance
A thorough benchmark comparison of throughput, latency, and memory utilization between Redis and Dragonfly.
DragonflyDB 2022 In Review
In 2022, a new technology and database project, Dragonfly, emerged, alongside the founding of DragonflyDB to shepherd and evolve it.
Balanced vs. Unbalanced
Balance is essential in life. When our focus is limited to improving a single aspect of our life, we weaken the whole system.
Infrastructure Should Be Boring
How we have built a boring infrastructure that everyone is excited about.
10k Stars
Dragonfly crossed the 10K GitHub stars milestone in just 75 days.
Switch & save up to 80%
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost