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Databases & messaging · #aerospike
Configure Aerospike UDFs with namespace-scoped policies, understand sandbox restrictions, verify runtime status, and apply batch processing to avoid latency spikes.
Learn when to enable Aerospike Strong Consistency, how to configure it, use it correctly in client code, and avoid common pitfalls.
Guide to diagnosing Aerospike XDR lag and data inconsistency: recognizable symptoms, cause table, ordered checks, fixes, escalation, and verification steps.
Aerospike multi-record transactions give you ACID across keys, but they use optimistic concurrency with version checks, require strong-consistency namespaces, and add 2–5× latency. Here’s how to decide when they’re worth it and how to verify they work in your cluster.
Aerospike’s Hybrid Memory Architecture keeps indexes in RAM and data on NVMe SSDs, delivering sub‑millisecond latency while balancing cost and performance.
Learn how to enable Aerospike strong consistency per namespace, measure its latency impact, and decide when to use it for critical metadata while keeping other data eventually consistent.
Learn how to write, register, and invoke a simple Aerospike Lua UDF that increments a bin, plus size limits, runtime constraints, and verification steps.
Learn how Aerospike’s User‑Defined Functions let you run Lua scripts on the server, reducing round‑trip traffic and client logic for high‑throughput workloads.
Learn how adjusting the memory‑data ratio in Aerospike’s HMA affects read latency and SSD wear, with a step‑by‑step example and practical trade‑offs.
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