Announcing the latest version of the Datica Platform, 3.2 is now generally available to all. Read more the full release notes here.

The Platform Environment Logging

The Platform Environment Logging

Datica has implemented a complete ELK stack for The Platform to manage acquiring and storing log data.

ELK stands for:

  • Elasticsearch - for storing and searching log data
  • Logstash - for sending and receiving log data to Elasticsearch
  • Kibana - for a visual interface into log data

Accessing the logging dashboard

Go to the logging URL provided for you. https://{datica provided domain}/logging/. For example: https://pod01163.catalyzeapps.com/logging/

Or you can sign into the Datica dashboard and click the logging link under your deployed environment. Sign in using your Datica credentials.

Logging sign in prompt

Your dashboard will look something like this.

Logging Dashboard

Searching and Filtering

Use the search bar at the top of the page to search for logs. For example, to filter application logs you can use the query:

 syslog_program : supervisord

Logging Query Example

You can view various time ranges of your logs by highlighting a portion of your events over time bar graph.

Logging filtering

More information on how to filter and search for logs can be found here.

Direct ElasticSearch Queries

For information on Direct ElasticSearch Queries please view this guide.

Cloud computing for healthcare

If you store, process, or transmit Protected Health Information, rely on Datica to keep you HIPAA compliant with our platform as a service, mobile backend, or managed HL7 integrations.

Contact Us Learn More

Datica learning resources

Learn the important and intracate details of HIPAA compliance, make use of HL7, and understand the security aspects of handling protected health information with our learning resources.

Visit Datica Learning Resources