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Source channel @githubtrending · Post #14772 · Jun 1

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly

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Crypto M - Crypto News

@CryptoM · Post #65190 · 04/11/2026, 06:14 PM

🚀 Pavel Durov Highlights Privacy Risks of Push Notifications Pavel Durov has raised concerns about the privacy implications of push notifications. According to NS3.AI, Durov pointed out that message data can persist in notification logs, posing a privacy risk even after messages or apps are deleted. He referenced a report by 404 Media, which revealed that the FBI was able to retrieve deleted Signal messages from an Apple iPhone by accessing these notification logs. #PavelDurov#Privacy#PushNotifications#DataSecurity#Signal#iPhone#FBI#DigitalPrivacy#NotificationLogs#CyberSecurity