Log Intelligence Highlights

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Click on Details
Click on Analytics
Review Events by Environment
Review Events by Mode
Review Archival Original Payload
Review Archival Compressed Payload
Review Events by Type
Review Events by Syslog Severity
Review Total Bot Executions
Review Total Bot Failures
Review Events Processed
Review Events by Type
Click on 3-button menu
Click on Maximize
Review Event Flow Graph
Review Event Processing Trend
Review Events by Environment Trend
Click on Event Processing Report

0/3

There are a few loopholes and inconsistencies (for example {spoiler alert}: how the actual f@#k does the clan keep 3 giant ancient anacondas fed and alive ffs??) in conjunction with a few sub-par performances, but, overall its a pleasant spinoff and accompaniment to the other 2 films in the franchise, and does so with considerably less focus on firearms and more on the action one might expect to see from a strong culturally Japanese standpoint.

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Click on Details to launch dashboard

Analytics page provides real-time view of number of logs processed, analyzed and routed to various destinations.

Events can be ingested from various environments - like Prod, Dev, Staging, UAT etc. from both on-prem and cloud environments.

For ingesting your enterprise logs/events, you can install our Event Gateway and add it as a destination to all of your log shippers/forwarders.

Number of logs that were input to the platform and sent out of the platform.

Here we see Log Noise Reduction around 62%

Payload size for all the logs that have been ingested so far.

Shows number of logs ingested by event type.

You can ingest logs from all standard log collectors/shippers, including

syslog (tcp and udp)

tcpjson

Splunk universal forwarder

Filebeat

Fluentd

HTTP events

Webhook

AWS Kinesis

Shows number of of syslog events by severity

Number of times RDA data bots were executed across all the data pipelines to process log/events in real-tme

Bot failures (if any). Can happen if any problems arise in data processing or routing to archival or destinations.

Shows pie charts of total events that were input vs output

Shows mix of various event types

Click on the three button menu item to view actions.

You can maximize the widget to get better view of data.

This unique event flow graph depicts number of events that were input, by type, and number of events that were output, by type.

This timeseries chart shows trend line of logs that were ingested into the platform (input), and sent out from the platform (output).

Clearly we can see input volume is quite high in most cases, and the service is able to filter or supress unwanted events.

This chart shows log/event trend for different environments.

Here we can see that PROD events are a lot more high in volume than DEV events.

This detailed tabular report shows traces from all pipeline executions