All posts by Joe Zhou
Feature Stores: Architecture and Online/Offline Storage
Explore feature store fundamentals: architecture and offline/online storage options—the essential concepts before hands-on deployment.
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 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.
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.
Supercharge Your Applications with Dragonfly Cloud on GCP
Boost application performance with Dragonfly Cloud with sub-millisecond latency, now on Google Cloud Marketplace. Deploy directly within your GCP account today!
The Future of Modern Data Infrastructure
Explore key predictions shaping modern data infrastructure. Discover what’s next for future-ready infrastructure and stay ahead in data innovation.
Modern Distributed Database Architectures - Part 2
Explore distributed database architectures and their tradeoffs, highlighting trends in scalability, consistency, and cloud-native design.
Modern Distributed Database Architectures - Part 1
Discover the tradeoffs of modern distributed database architectures. Learn how they shape performance, consistency, and fault tolerance.
Why is Your In-Memory Data Store Bill so High?
Discover the most common causes of rising Redis/Valkey costs, including over-provisioning, pricing model misalignment, and cluster inefficiencies, along with strategies to address these issues.
Avoiding Common Mistakes & Pitfalls When Scaling Redis
Learn more about the four most common mistakes developers make when scaling Redis and how to avoid them.
Bitmaps in Dragonfly: Compact Data with Powerful Analytics
Learn how to use Bitmaps for efficient data handling in Dragonfly. Explore key commands, master bit-level operations, and dive into real-world use cases like user retention and feature flags.
Cluster Scalability: Redis Gossip vs. Dragonfly Orchestration
Explore the architectural differences between Redis Cluster and Dragonfly Cluster, comparing gossip-based and control plane orchestrated designs to understand how each scales in distributed systems.
Why Does Dragonfly Require Only Half the Infrastructure of Redis?
Dragonfly's innovative architecture, data structures, and advanced features can significantly reduce infrastructure needs, delivering substantial cost savings.
Dragonfly SSD Data Tiering: Caching All the Way Down
Dragonfly SSD tiering offers a new level of efficiency for managing data by intelligently moving less-used data to SSD storage while keeping hot data in memory.
Scaling Heavy BullMQ Workloads with Dragonfly Cloud
Learn how to efficiently scale BullMQ workloads using Dragonfly Cloud's managed services. Discover setup tips, optimization configuration options, and real-world performance insights.
Top 10 Modern Data Infrastructure Companies in 2024 - Part 2
Uncover the second half of our top 10 modern data infrastructure companies for 2024, highlighting groundbreaking technologies in real-time processing, analytics, and search solutions.
Top 10 Modern Data Infrastructure Companies in 2024 - Part 1
Unveil the first half of our top 10 modern data infrastructure companies for 2024, showcasing cutting-edge advancements in scalability, speed, caching, and real-time analytics.
Principles of Modern Data Infrastructure
Discover the key principles of modern data infrastructure—what we believe are necessary to handle today's demanding data requirements.
Dragonfly: The Future-Proof Alternative to Redis
Dragonfly is the future-proof alternative to Redis, offering superior performance, cost efficiency, and a forward-thinking licensing strategy.
Migrating to Dragonfly Cloud using RedisShake
Learn how to migrate to Dragonfly Cloud using RedisShake, a versatile tool for seamless and efficient in-memory data migration.
Best Practices for Managing In-Memory Data Stores
Let's talk about best practices for snapshots, backups, high availability, scalability, and security to ensure reliable in-memory data infrastructure.
Batch Operations in Dragonfly: Pipelining, Transactions, and Lua Scripting
Explore advanced batch operations in Dragonfly, including pipelining, transactions, and Lua scripting, to enhance performance and data handling in high-throughput applications.
Running DocsGPT with Dragonfly: Adding AI to Your Documentation
Learn how to integrate DocsGPT with Dragonfly for efficient documentation queries, and see how AI enhances your project documentation.
Redis Interview Questions for DevOps and Platform Engineers
Prepare for your next DevOps or Platform engineering interview. Let's learn and discuss best practices for managing high-performance, reliable Redis systems.
Dragonfly and Celery: Powering Financial Transactions
Learn how Dragonfly and Celery seamlessly integrate to build a financial transaction system based on Ethereum, providing a robust solution for efficient, high-volume data processing.
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 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...