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Databases Redis

Integration guide for Redis

Redis can be used with streaming solutions such as Apache Kafka and Amazon Kinesis as an in-memory data store to ingest, process, and analyze real-time data with sub-millisecond latency. Redis is an ideal choice for real-time analytics use cases such as social media analytics, ad targeting, personalization, and IoT.

⚠️ Warning: This integration requires a UTMStack agent to work properly. Please, make sure you have installed it before you continue.

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster

1. Enable Filebeat module

Linux

cd /opt/utmstack-linux-agent/beats/filebeat/ && ./filebeat modules enable redis

Windows

cd "C:\Program Files\UTMStack\UTMStack Agent\beats\filebeat\" && filebeat modules enable redis

2. Configure Filebeat module

Configure the module configuration file according to the image below. You can find it in the path:

Linux

/opt/utmstack-linux-agent/beats/filebeat/modules.d/redis.yml

Windows

C:\Program Files\UTMStack\UTMStack Agent\beats\filebeat\modules.d\redis.yml
Redis

Note: Important!! After a Filebeat module is enabled, the service needs to be restarted using the following command:

Linux

sudo systemctl restart UTMStackModulesLogsCollector

Windows

sc stop UTMStackModulesLogsCollector && timeout /t 5 && sc start UTMStackModulesLogsCollector

⚠️ Warning: Depending on how you’ve installed Filebeat, you might see errors related to file ownership or permissions when you try to run Filebeat modules. See Config File Ownership and Permissions