All posts by Joe Zhou
Efficient Context Management in LangChain Chatbots with Dragonfly
Explore efficient context management for LangChain OpenAI chatbots with Dragonfly, enhancing performance and user experience through caching techniques.
Using Bloom Filters with Dragonfly
Discover Dragonfly’s new native Bloom filter support, providing yet another powerful tool to enhance caching, data management, and system efficiency.
Using Dragonfly as a Table Engine for ClickHouse
In this blog post, we evaluate using Dragonfly as a ClickHouse table engine, highlighting the seamless integration and exploring both benefits and practical considerations.
Relay with Dragonfly: Towards the Next-Gen Caching Infrastructure
Integrating Dragonfly with Relay enhances PHP applications by significantly boosting caching performance, showcasing scalability, high throughput, and reduced latency for efficient next-gen caching infrastructure.
Measuring Cardinality in the Millions and Billions with Dragonfly
This blog post explores using Dragonfly for measuring cardinality with precision at massive scales. Focusing on `Set` for exact counts and `HyperLogLog` for accurate estimations.
2024 New Year, New Number: New Benchmarks Show Dragonfly Achieves 6.43 Million Ops/Sec on an AWS Graviton3E Instance
With the advancements of cutting-edge hardware, Dragonfly reaches 6.43 million ops/sec on a single `c7gn.16xlarge` instance.
Scaling Real-Time Leaderboards with Dragonfly
Explore how to build dynamic, real-time leaderboards using Dragonfly and PostgreSQL. Learn to effectively manage user scores and data for high-performance, scalable leaderboard systems for gamification features.
Building E-Commerce Applications with Dragonfly
In this blog post, we discover how Dragonfly boosts e-commerce platforms with efficient caching, personalized content, and managing high-traffic events. Learn about Dragonfly's capabilities for ensuring smooth operations during peak times.
Building a Real-Time Ad Server with Dragonfly
In this blog post, we build a real-time ad server application using Bun, ElysiaJS, and Dragonfly, showcasing seamless integration and exceptional developer experience. Dive into hands-on examples and enhance your understanding of these cutting-edge technologies.
Running BullMQ with Dragonfly
In this post, we explore the seamless integration of Dragonfly as a drop-in replacement for Redis as the backing in-memory store of BullMQ, a robust background job processing library for Node.js.
Developing with Dragonfly: Solve Caching Problems
In the Developing with Dragonfly series of blog posts, we will explore different techniques and best practices for developing applications with Dragonfly. In this blog post, we explore the 3 common caching problems and best practices to mitigate them.
Developing with Dragonfly: Cache-Aside
In the Developing with Dragonfly series of blog posts, we will explore different techniques and best practices for developing applications with Dragonfly. We start with one of the most common usages: Cache-Aside.
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 outstanding compatibility of Dragonfly as an online store solution for Feast, ensuring a smooth transition without compromising existing functionalities.