1. dynaTrace Platform

2. Answers you will get in this session
Overview
Goal of this session
What is dynaTrace used for and how does it work?
Answers you will get in this session
What are the main dynaTrace use cases?
User Experience Management
Production Performance
Load and Performance Testing
Continuous Integration
Diagnostics
Web Performance Optimization
What are the major components of the dynaTrace architecture?
What do I need them for and how do they work?
How does dynaTrace enable collaboration across the lifecycle?

3. dynaTrace Solution Overview
Browser or Rich-Client
Web Server
Java
.NET
Other
Database
Monitoring
Collector
PurePath
Collector
Explain the parts. Also explain that we not only get purepath but also cyclic monitoring measures
This in a nutshell is what dynaTrace does for you, it makes that connection (show path). The red line is the transaction that is running through the system.
dynaTrace tracks your transactions with its PurePath technology all the time end to end! And it will also show you a wealth of other information that you did not have before, click further. For the first time you go beyond a server only view and see the from the browser all the way down to the database or legacy system what is contributing to your response times.
dynaTrace Client
Performance Warehouse
Sessions Store
dynaTrace Server
Exported
Session
dynaTrace
Analysis Server
Offline
Session Analysis

4. dynaTrace Solution Overview
Execution times, CPU, Remoting, Messaging, Web Services, I/O, Wait, Sync, Memory, GC, JMX, CLR, OS & PMI Metrics 
no statistical guesswork
Only 24x7 heterogeneous
always-on distributed global
deep transaction trace 
no after-the-fact tracing
Method args & returns, Exceptions, Logs, SQLs & Bind values  business context
Browser or Rich-Client
Web Server
Java
.NET
Other
Database
Lowest overhead through externalized data processing  no app-side data processing
Single file deployment  no config files & no source code changes
Monitoring
Collector
PurePath
Collector
Explain the parts. Also explain that we not only get purepath but also cyclic monitoring measures
This in a nutshell is what dynaTrace does for you, it makes that connection (show path). The red line is the transaction that is running through the system.
dynaTrace tracks your transactions with its PurePath technology all the time end to end! And it will also show you a wealth of other information that you did not have before, click further. For the first time you go beyond a server only view and see the from the browser all the way down to the database or legacy system what is contributing to your response times.
Globally scalable collector architecture, secure,  no problems with dynamic cloud and virtualization environments
dynaTrace Client
Performance Warehouse
Sessions Store
dynaTrace Server
Role based dashboards, single point of configuration
Ease-of-use across lifecycle
Real-time transaction analysis, business transaction mapping, alerting 
no averages
Exported
Session
dynaTrace
Analysis Server
Offline
Session Analysis
Self-learning,
Auto-discovery,
Auto placement 
low maintenance
Large heap analysis service 
Background processing
Offline Analysis of root-cause information (transactions, memory, threads & time series) 
Collaboration made easy
Shared full-depth transaction & context information
no guesswork

5. dynaTrace Components dynaTrace Client Online Dashboards and Analysis
Offline Analysis
Kiosk Mode
dynaTrace Viewer
Auto-Adaptive Dashboards
Web Dashboards and Reports (live)

6. dynaTrace Components dynaTrace Server Real-Time Analysis Services
Root-Cause Analysis Services
Collaboration Services
Reporting Services
Web Access Services
Alerting Services
Central Management and Pluggability Services

7. dynaTrace Components Analysis Server Huge Memory Analysis Server
The Analysis Server is used to analyze huge Memory Dumps what cannot be done on the dynaTrace Server without effecting the collection of further performance data. The Analysis Server should be used especially in production environments.

8. dynaTrace Components Performance Warehouse Historic Performance
Session Store
SQL Database
(not part of Development Team Edition for desktop use)

9. dynaTrace Components dynaTrace Collector PurePath Collector Role
Monitoring Collector Role
Desktop EUEM Role
Cloud Collector

10. dynaTrace Components dynaTrace Agent Lightweight Compact Native/deep
Powerful (mem, threads, cpu, system,,...)
Safe
Cross-Platform
Reliable

11. dynaTrace Components dynaTrace Session Hi-Density File Stores:
PurePaths
Memory Snapshots
Thread Dumps
Monitoring Statistics
Provides:
Replay information

12. dynaTrace Components Smart Sensor Lighweight Context Info
Method Arguments
Log info
Exceptions
CPU
Suspensions
Synchronization

13. Collaboration Pre-Production Production
Push Information
Bug Tracker Entry
Alerts
Scheduled Reports
Visibility for Operations
Live Dashboards
And Root-Cause
Analysis
Collaboration Services
dynaTrace Server
Dev / Test
Collaboration Services
dynaTrace Server
Production
Replay for Development
Reconstruct, Diagnose,
Fix, Validate.
Visibility for Development Managment
Explain the collaboration features. Especially the fact that sessions can be shared between teams and departments making working together efficient. Also explain that this means always correct data without needing to have access. Further this can be legally given to third parties via the viewer. For prod also mention the option to remove confidential strings.
Mention that this can also be automated.
Session Store
Dev, Test,
Production
Sessions
Share
Reports & Dashboards
via URL and WebStart
Push Information
SMS/ Alerts
Scheduled
HTML/PDF
Reports
Daily/Weekly/ Monthly
For 3rd Parties and Remote Departments:
Replay and Diagnose
with dynaTrace Viewer
and sensitive data protection
Visibility for Business
and secure remote access
Live Web Reports
Mobile Web Access
Webstart Client

14. dynaTrace’s Comprehensive Scope
business
end-to-end
End-to-End: dynaTrace captures data from end-to-end, starting at the browser down to database and legacy system
All Transactions: low overhead of dynaTrace enables monitoring of 100% transactions in production environments, even globally distributed
Deep: dynaTrace goes down to the code level, method arguments, SQL statements, bind values, return values, remoting and message information, synchronization and memory
Business: dynaTrace maps PurePath data to business level, alowing to monitor the perfromance of particular transaction types or application components or single user types
Life-Cycle: dynaTrace can be used accross the lifecycle and proviedes richt communictaion and collaboration features
life-cycle
deep
all transactions

15. 100 % Last Minute Search: menu.do, user=Joe, action=lastMinute
Buy: sale.do, user=Jane, action=doBuy
100 %
List: query.do, user=Bob, action=showAll
Pay: menu.do, user=Joe, action=pay
Call PaymentService.transferCash

16. 100 % Last Minute Search: menu.do, user=Joe, action=lastMinute
Call PaymentService.transferCash
Last Minute Search: menu.do, user=Joe, action=lastMinute
Buy: sale.do, user=Jane, action=doBuy
List: query.do, user=Bob, action=showAll
Pay: menu.do, user=Joe, action=pay
All analysis is based on data from your transactions
A major advantage and benefit of dynaTrace is the ability to receive monitoring/diagnostics data from the agents in near real-time and process them in near real-time. This is what we mean by interactive analysis: Just drill down to the right view/aggregation for the current analysis task. There is no need to export the dynaTrace data to an OLAP cube or a correlation engine because dynaTrace calculates the different views on the fly.

17. Correlate with JVM/CLR/OS metrics
The Transaction Data is supplemented and correlated with typical monitor metrics like memory, cpu, thread statistics as you can get them from the OS, JVM, CLR, Application Server and so on. Some of these metrics are collected automatically based on the instrumented application (we choose inteligently here).
Others must be subscribed explicitly, which is very easy. Explicitly because we cannot know all about your application in advance and all measures would be too much data.
And second because metrics can also be very custom and specific to your application
Monitoring and dashboards exist out of the box in prod edition, in the others they can be setup.

18. Use for monitoring Capture Data Analyze Data Monitor Captured Data
This picture is important to keep in mind: First we capture the data along the PurePaths, then we explicitly subscribe the data for the long term monitoring.
This is about the combination of Transaction data, monitoring data for monitoring, trending and diagnostics. All purposes are served
Define Data to be Monitored (Subscribe Measures)
Monitor Captured Data

19. UPDATE Editions Update slide by marketing
Explain the 3 editions, especially the dev team
Dev-Team Edition: Advanced Profiling / CI
Differs only through Licensing
Detailed Feature comparison:

20. Q&A