Sponsor: DragonflyDB, Inc.

How Dragonfly’s Architecture Delivers 80% Lower Costs Than Redis

Are you a customer of a hosted Redis service like ElastiCache, but are struggling with bottlenecks, high costs, and operational complexity? You're not alone. The single-threaded architecture of Redis often leads to poor CPU utilization, requiring you to provision a high number of expensive instances to handle heavy workloads, which can lead to escalating infrastructure costs.

This report, brought to you by Dragonfly, is a breakdown of the architectural differences that enable Dragonfly to deliver up to an 80% cost reduction over managed Redis solutions. We'll show you how a modern, multi-threaded in-memory data store can slash your costs, boost performance, and simplify your operations.

How Dragonfly Reduces Your Costs:

  • Multi-Threading
  • Better Memory Efficiency
  • Lower Price Per Unit of Memory
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Patterns For A High Performance Data Architecture

For fast-growing startups, scaling data infrastructure is an inevitable challenge. Increased data volumes often lead to longer response times, higher error rates, and more frequent service downtimes. A lack of a strategic approach to data can compromise the performance and reliability of your services, as well as the trust of your audience.

This guide offers best practices for reducing data latency and enhancing scalability. It provides recommendations to help you navigate the challenges of building web-scale applications that meet the demands of modern users.

Key Patterns for Performance and Scalability

  • Limit Data Access to Disk
  • Avoid Cross-Regional Communication
  • Scale Vertically First
  • Do Work Asynchronously
  • Use Connection Pooling
  • Load Balancing
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O’Reilly System Design on AWS

Building complex, large-scale applications in the cloud is full of challenges. From choosing the right tools to estimating provisioning, every decision involves a complicated set of choices and trade-offs. To succeed, you need a strong understanding of system design and a practical guide to putting all the pieces together.

"System Design on AWS" is that guide. Written by engineering leaders Jayanth Kumar and Mandeep Singh, this book is a must-read for anyone who wants to elevate their skills and optimize their designs on AWS. It bridges system design fundamentals with AWS architecture, providing a practical, hands-on approach that equips you with the knowledge to make sound decisions and overcome the challenges of designing scalable enterprise software.

What You'll Learn:

  • System Design Fundamentals
  • Essential AWS Services
  • Architectural Principles
  • Caching Strategies
  • Practical Applications
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