Presentation: Beyond Speed Limits: Exploring the Performance Power of Valkey
Senior Solution Architect Viktor Vedmich shares how engineering leaders can maximize application performance using Valkey. He discusses the open-source Redis fork's 100% API compatibility, explores advanced caching strategies like lazy loading, and explains how to implement powerful data structures for real-time analytics, rate limiting, and session stores to solve the thundering herd problem. By Viktor Vedmich
The presentation at InfoQ Dev Summit Munich 2025 highlights current industry efforts to maximize application performance and manage data efficiently, reflecting ongoing challenges in scalable software infrastructure.
Engineering leaders are constantly seeking ways to improve application performance and data management, making discussions around open-source tools like Valkey critical for technology strategy and operational efficiency.
The growing adoption and exploration of Redis forks like Valkey emphasize a continued industry trend towards leveraging highly performant, open-source data structures for various real-time applications, potentially shifting preferences for proprietary solutions.
- · Open-source software ecosystems
- · Companies requiring high-performance data infrastructure
- · Developers skilled in key-value stores
- · Valkey community and contributors
- · Proprietary caching solutions
- · Less performant data storage options
Increased adoption of Valkey and similar high-performance key-value stores for critical application components.
A more diverse and competitive landscape for in-memory data structures, prompting innovation in related technologies.
Potential for new standards or best practices to emerge around using Redis-compatible forks for scalable microservices architectures.
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Read at InfoQ