Category: Database, Security, Data, Redis
by Kibana and the rest of the ELK stack (Elasticsearch, Kibana, Logstash) is great for parsing and visualizing API logs for a variety of use cases.
One use case for Kibana that’s grown recently is providing analysis and forensics for API security, a growing concern for engineering leaders and CISO’s as companies expose more and more APIs to their customers, partners, and leveraged by Single Page Apps and mobile apps.
This means examining all the API calls together made by a single user or API key which is called User Behavior Analytics or UBA.
Because the majority of APIs are secured by some sort of OAuth or API Key, it’s fairly easy to map the API key to a permanent identifier like user id either directly or by maintaining this mapping in a key/value store like Redis.
One use case for Kibana that’s grown recently is providing analysis and forensics for API security, a growing concern for engineering leaders and CISO’s as companies expose more and more APIs to their customers, partners, and leveraged by Single Page Apps and mobile apps.
This means examining all the API calls together made by a single user or API key which is called User Behavior Analytics or UBA.
Because the majority of APIs are secured by some sort of OAuth or API Key, it’s fairly easy to map the API key to a permanent identifier like user id either directly or by maintaining this mapping in a key/value store like Redis.
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