Expert insights on database management, performance optimization, and reliability engineering from industry professionals
Aerospike 7.0 delivers 1 million writes per second with sub-millisecond latency using its Hybrid Memory Storage architecture. Learn when Aerospike beats Redis and Cassandra, and how to configure it for production.
FoundationDB powers Apple iCloud and Snowflake's metadata layer with ACID transactions across distributed nodes. Learn how its ordered key-value core, layer architecture, and simulation testing deliver unmatched reliability.
Redis Streams and Kafka both handle millions of events per second, but they solve different problems. Compare latency, retention, delivery guarantees, and operational overhead to choose the right architecture.
Choose the right Cassandra compaction strategy: STCS for write-heavy workloads, LCS for read-heavy point lookups, and TWCS for time-series data with TTL-based expiry.
ScyllaDB 6.0's shard-per-core architecture delivers 3-8x Cassandra throughput on identical hardware. Learn the performance differences, migration path from Cassandra, and when ScyllaDB tablets beat vnodes.
Model DynamoDB data with single-table design. Covers composite sort keys, GSI design for multiple access patterns, and on-demand vs provisioned capacity.
Manage Elasticsearch indexes with ILM policies, correct shard sizing, and force merge for historical indices. Covers hot/warm/delete phases and cluster health monitoring.
Optimize MongoDB aggregation pipelines by ordering stages correctly, using indexes in $match and $sort, projecting early, and tuning $lookup with pipeline filters.
Use Redis Streams for event sourcing and message queues. Covers XADD, XREADGROUP, consumer groups, XAUTOCLAIM for stale messages, and Python producer/consumer examples.
Design Cassandra tables around query patterns, not entities. Covers partition key cardinality, hot partition prevention, time bucketing, and secondary indexes vs materialized views.
DynamoDB and MongoDB are the two most common NoSQL choices, but cost structures, query flexibility, and operational overhead differ dramatically depending on your access patterns.
MongoDB 8.0 brings significant replication improvements including faster elections, durable oplog writes, and changes to write concern behavior. Here's what changed and how to take advantage of it.
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