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Keeping Dragonfly Always-On: High Availability Options Explained | Cover Image

Keeping Dragonfly Always-On: High Availability Options Explained

Explore three ways to run Dragonfly with high availability: Redis Sentinel, Kubernetes Operator, and Dragonfly Cloud, ensuring zero downtime.

How Dragonfly Delivers 80% Lower Costs Than Redis | Cover Image

How Dragonfly Delivers 80% Lower Costs Than Redis?

Dragonfly’s architecture, memory efficiency, and lower pricing can cut Redis costs by up to 80%. Learn the key savings drivers.

Geo Indexes: Powered by Dragonfly Sorted Sets | Cover Image

Geo Indexes: Powered by Dragonfly Sorted Sets

Discover how Dragonfly implements geospatial indexes using high-performance sorted sets, enabling fast location queries. Learn the internals in this guide.

Caching with Dragonfly and Java in 5 Minutes Cover

Caching with Dragonfly and Java in 5 Minutes

Boost Java app performance with Dragonfly as a Redis-compatible cache. Learn to integrate it with Spring Boot for scalable caching.

Dragonfly Read Replicas Announcement

Read Replicas Done Right

Learn why read replicas are often unnecessary with Dragonfly’s architecture. And when they still make sense sometimes, they’re now enabled by default for Dragonfly Swarm.

RisingWave + Dragonfly: No More Stale Cache and Outdated Features

RisingWave + Dragonfly: No More Stale Cache and Outdated Features

Eliminate stale data with RisingWave and Dragonfly. Automatically sync databases to real-time cache & feature store. Instant updates, zero manual invalidation.

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Caching with Dragonfly and TypeScript in 5 Minutes

Caching with Dragonfly and TypeScript in 5 Minutes

Add Redis-compatible caching to your TypeScript/JavaScript app with Dragonfly in 5 minutes. A full code walkthrough is included.

Dragonfly Cloud Beats ElastiCache on Every Dollar

The Value Benchmark: Dragonfly Cloud Beats ElastiCache on Every Dollar

Dragonfly outperforms ElastiCache in throughput, latency, and cost-efficiency, proving much higher value per dollar.

Syncing Data from PostgreSQL to Dragonfly Using Airbyte Cover

Syncing Data from PostgreSQL to Dragonfly Using Airbyte

Learn how to sync PostgreSQL data to Dragonfly using Airbyte, a step-by-step guide with Docker setup and verification.

Abusix Case Study Cover

Case Study: Abusix Eliminates Bottlenecks and Scales Threat Intelligence with Dragonfly

Abusix scaled real-time threat intelligence by migrating to Dragonfly Cloud, eliminating bottlenecks with high-performance sorted sets.

Redis 8.0 vs. Valkey 8.1: A Technical Comparison

Redis 8.0 vs. Valkey 8.1: A Technical Comparison

A deep technical comparison of Redis 8.0 vs. Valkey 8.1: threading models, performance benchmarks, feature sets, and licensing.

Feature Stores: Architecture and Online/Offline Storage

Feature Stores: Architecture and Online/Offline Storage

Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.

Announcing Dragonfly Cloud on Microsoft Azure

Announcing Dragonfly Cloud on Microsoft Azure: Boost Your In-Memory Data Infrastructure

Dragonfly Cloud is now on Microsoft Azure—get started today with trial credit and waived network fees for 3 months!

Case Study: Sharp App Boosts Sports Betting with Dragonfly

Case Study: Sharp App Boosts Sports Betting with Dragonfly

Sharp App cut latency by 85% & boosted throughput with Dragonfly, replacing Redis for real-time sports betting analytics. Read their success story!

Redis 8.0 Lands: New Features and More License Drama

Redis 8.0 Lands: New Features and More License Drama

Redis 8.0 introduces vector sets and returns to open source with AGPL, but can it rebuild trust? We analyze the licensing and technical upgrades in this blog post.

Dragonfly Is Not Redis

Dragonfly Is Not Redis: An Open Letter to the Community

Modern architecture, better performance, lower cost, and built for today’s needs and future scale. Dragonfly is not Redis.

Stop Ad Fatigue with Dragonfly’s Built-In Rate Limiting

Stop Ad Fatigue with Dragonfly’s Built-In Rate Limiting

Rate limiting with CL.THROTTLE prevents ad fatigue by controlling impression frequency—allowing controlled bursts while maintaining smooth ad delivery at scale.

Google Cloud Next 2025

Google Cloud Next and the AI-Driven Data Revolution

Google Cloud Next 2025: AI breakthroughs, next-gen data infrastructure, and cutting-edge compute hardware—built for scale.

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