5

simple steps

5 simple steps to you style

  1. Send a request via email or fill the form for web demo
  2. Get your personal login to APE Diagnostics
  3. Download Diagnostics Client
  4. Collect runtime data and upload it
  5. Enjoy the most sophisticated analysis ever

Download Diagnostics Client

APE Diagnostics collects, parses and integrates diagnostic information from various enterprise environments, such as data warehouse and business intelligence systems, and provides in-depth performance analysis to BI Admins and DBAs. It supports such BI technologies as Informatica, Oracle Data Warehouse Admin Console (DAC), Oracle Data Integrator (ODI), Oracle BI Enterprise Edition (OBIEE). APE Diagnostics Client is a java-based client application, which is deployed onsite for gathering ETL and queries runtime statistics from BI and ETL tools repositories and database dictionary. To set up the client, simply download its zip from "Cather Stats" section on ape.troype.com and unzip the archive. Note, that APE Client extracts only runtime statistics, and does NOT capture any sensitive information such as logins, connection information, or customer's data.

 

Collect runtime data and upload it

APE Diagnostic Client provides a simple interface to define an environment profile with connection information to available repositories and schemas, as well as locations for log files. Once setup is complete, the client connects to specified repositories and extracts performance statistics for a desired snapshot, ETL or end user queries, and generates a zip-file for upload into APE Diagnostics Suite @ ape.troype.com or into a local instance. Refer to the page "Gather Stats" for step-by-step upload process.

 

Enjoy the most sophisticated analysis ever

APE Diagnostics provides the parsed statistics in convenient formats: forms, charts and diagrams. BI Administrators and BI Implementation teams have very powerful functionality to see the complete picture about BI performance and obtain detailed information about a single item (ETL task or end user report), analyze integrated runtime data from different sources and watch critical trends, track end users activities and compare their performance snapshots, analyze workload and identify outstanding bottlenecks.