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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. Hint Hint, ProxySQL helps.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

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How To Add eBPF Observability To Your Product

Brendan Gregg

opensnoop Files opened table. biolatency Disk I/O latency histogram heat map. cachestat File system cache statistics line charts. runqlat CPU scheduler latency heat map. execsnoop New processes (via exec(2)) table. ext4slower Slow filesystem I/O table. biosnoop Disk I/O per-event details table, offset heat map.

Latency 145
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Redis vs Memcached in 2024

Scalegrid

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130
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AnyLog: a grand unification of the Internet of things

The Morning Paper

Coordinators are servers that receive queries and return results (search engines). Caching of query results on the other hand, looks like a good business model, at large enough scale these might amount to pretty much the same thing). Clients issue queries over data (queries can be one-off, i.e., static, or continuous).

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Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook

The Morning Paper

The tracing, replay, and analysis tools developed for this work are released in open source as part of the latest RocksDB release , and the new benchmark is now part of the db_bench benchmarking tool. All cache read misses and all writes go through UDB servers, with SQL queries being converted into RocksDB queries.