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AWS re:Invent 2025: The Blueprint for the Agentic AI Era
December 4, 2025
A recap of the key AWS re:Invent 2025 announcements powering the transition to industrial-scale and practical AI, from Nova models to Trn3 infrastructure.
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1.5 Years After the Valkey Fork: The In-Memory Data Landscape at the End of 2025
Analyze the evolving in-memory data landscape post-Valkey fork, comparing solutions for context-rich AI/ML workloads and performance.
Why Threading Models Matter: Dragonfly Pulls Ahead of Valkey in CPU-Intensive Workloads
Valkey’s single-threaded engine can quickly hit the ceiling. Discover how Dragonfly’s threading model scales linearly for CPU-intensive workloads.
Migrating from Redis to Valkey: Process, Cost & Performance
Explore the benefits of migrating from Redis to Valkey. We break down the cost savings, performance gains, and what the migration process truly involves.
What’s New in Valkey 9.0: Key Features and Improvements
See how new features in Valkey 9.0, from new commands to safe shutdown, demonstrate healthy progress for the open-source in-memory data store landscape.
The Modern Data Infrastructure Summit—Full Talks Now Live
Celebrating our first-ever Modern Data Infrastructure Summit! Watch the full talks on building modern, scalable data infrastructure for AI and real-time workloads.
Dragonfly Swarm 2TB Cluster Hits 10M+ RPS Easily, Nears 20M with Pipelining
We benchmarked a 2TB Dragonfly Swarm data store, achieving over 10M RPS and nearing 20M with pipelining. See the full performance breakdown and cost savings.
Building RAG Systems with LlamaIndex and Dragonfly
Learn to build a RAG system with LlamaIndex and Dragonfly for real-time, domain-specific AI answers without model retraining.
Memcached to Dragonfly: Stop Serializing, Start Simplifying
Upgrade from simple strings to rich data types. Our guide shows you how to migrate from Memcached to Dragonfly with dual mode and keyspace sharing.
Building a Feature Store with Feast, DuckDB, and Dragonfly: A Hands-On Guide
Learn to build a scalable ML feature store with Feast. Use DuckDB for offline data and Dragonfly for high-performance online feature serving.
ShareChat Achieves Better Performance and 40% Cost Reduction with Dragonfly Cloud
How India’s largest social media company modernized its infrastructure, migrating 150+ services to Dragonfly Cloud for 40% lower costs and no noisy neighbor issues.
Introducing Dragonfly Cloud Enterprise: Built for the Heaviest In-Memory Data Workloads
Dragonfly Cloud Enterprise includes new functionality such as bring-your-own-cloud (BYOC), autoscaling, multi-region backups, and more.
Integrating Apache Airflow with Celery and Dragonfly
Learn how to set up Apache Airflow and Celery with the high-performance Dragonfly data store for superior workflow orchestration and scalability.
Case Study: Zedia Powers High-Performance AdTech with Dragonfly for Cost Efficiency
Discover how Zedia slashed costs & scaled ad delivery using Dragonfly’s high-performance, Redis-compatible in-memory data store with spot instances.
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?
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
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
Boost Java app performance with Dragonfly as a Redis-compatible cache. Learn to integrate it with Spring Boot for scalable caching.
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.
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