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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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@githubtrending · Post #14846 · 06/20/2025, 12:00 PM

#go#cloudnative#grafana#hacktoberfest#logging#loki#prometheus Loki is a log aggregation system inspired by Prometheus but designed specifically for logs instead of metrics. It is cost-effective and easy to operate because it only indexes metadata (labels) about logs, not the full log content, which reduces storage and complexity. Loki works well with Kubernetes by automatically indexing pod labels and integrates natively with Grafana for easy log visualization. Its stack includes an agent (Alloy) to collect logs, Loki to store and query them, and Grafana to display them. This setup helps you efficiently manage and analyze logs with less cost and simpler operation compared to traditional logging systems[2]. https://github.com/grafana/loki