Convert API Log Data into Actionable Information

Your API Logs Contain a Wealth of Actionable Information

  • What are the request and response payloads being sent?
  • Which API version is used the most?
  • Where is the API experiencing higher latency?
  • What is the sequence of transactions leading to errors on POST /*/count/events?
  • Which SDKs are used to access the API the most?
  • What are the top endpoints used by each of my customers?
  • Who are my top customers by API usage?
  • Which users are scraping large amounts of data from the API?
  • Which customers are running into 401 unauthorized errors?
  • What is the API activity for a specific customer?

You Probably Pipe Your Logs into Kibana

Pros and Cons of Kibana for API Logs and Metrics

  • Open source and free to use.
  • Great at visualizing API logs.
  • You can explore massive volumes of log data.
  • Many useful features. Although it should be noted that some features are available separately and some are currently experimental or in beta.
  • Layered on top of Elasticsearch (also a con), making it ideal for use on high-cardinality, high-dimension log data- a must-have feature for API logs.
  • Compatible with Elasticsearch and Logstash only. If you want to use Kibana with other databases, you’re out of luck.
  • Designed for infrastructure metrics and not specifically for API products. You have to customize Kibana for API log use cases.
  • To connect user behavior and API activity into a single journey is incredibly manual and prone to errors over time.
  • You need to use the Kibana Query Language (KQL) or Lucene query syntax (Kibana legacy query language) for queries, so there is a moderate to high learning curve.
  • Maintaining the Elastic Stack takes a lot of effort. For example, you must periodically upgrade each part of the stack and make sure upgrades won’t break any plugins you’re using or require that you rewrite any of your visualizations.

Move Beyond Kibana and Get Actionable Insights from Your API Logs with Moesif

  • High-cardinality, high-dimension API metrics that are compatible with any database, not just Elasticsearch.
  • Automatic analysis of REST and GraphQL APIs.
  • Automatic insights on query parameters and HTTP text payloads like JSON and XML.
  • Track API calls, user actions and behavior, and website activity.
  • Embeddable API logs and charts.

Understand What Your API Log Data is Telling You

  • Recent API errors
  • HTTP status requests
  • Product usage
  • Daily active users (DAU)
  • Most active users

Don’t Miss Out on Valuable Insights




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Adam DuVander

Adam DuVander

With APIs and people, anything is possible. Mostly it’s the people.

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