Hear about various SDKs available to integrate the AppDynamics Application Performance Management (APM) solution with your application on code level. Focus on Java Agent SDK to create custom exit nodes and add meaningful information to snapshots and logfiles; Javascript SDK to add and enrich EUM pages; and other SDKs available for additional value. And learn more about useful REST interfaces to interact with AppDynamics and add/retrieve datapoints from your datastore. This is a technical session targeted at development and DevOps professionals with a focus on code-level customization and extension. Tight integration of AppDynamics and your own application is key and, sometimes the SDKs are key to achieving seamless integration. Key takeaways: o Examples of integration and use cases o Ideas for how to tightly and safely embed AppDynamics into your applications o Access to APIs and SDKs o Adding code-level integrations of datapoints o Integrate and automate AppDynamics in your DevOps workflow For more information, go to: www.appdynamics.com

1. Use the AppDynamics SDK to integrate
with your Applications
Stefan Marx
Director Solution Architecture, AppDynamics

2. APPDYNAMICS CONFIDENTIAL AND PROPRIETARY 2
Notice
The information and materials included in this presentation (collectively, the
“Materials”) are the proprietary information of AppDynamics, Inc. (“AppDynamics” or
the “Company”). No part of the Materials may be reproduced, distributed,
communicated or displayed in any form or by any means, or used to make any
derivative work, without prior written permission from AppDynamics.
The Materials may contain product roadmap information of AppDynamics.
AppDynamics reserves the right to change any product roadmap information at any
time, for any reason and without notice. This information is intended to outline
AppDynamics' general product direction, it is not a guarantee of future product
features, and it should not be relied on in making a purchasing decision. The
development, release, and timing of any features or functionality described for
AppDynamics' products remains at AppDynamics' sole discretion. AppDynamics
reserves the right to change any planned features at any time before making them
generally available as well as never making them generally available.
All third-party trademarks, including names, logos and brands, referenced by
AppDynamics in this presentation are property of their respective owners. All
references to third-party trademarks are for identification purposes only and shall be
considered nominative fair use under trademark law. © 2016 AppDynamics, Inc. All
rights reserved.

3. Bio {
age: 42,
apm_since: 2007,
appdynamics_since: 2013,
role: “Director Solution Architecture”,
region: “EMEA”,
country: “Germany”,
history: [
“Java Developer”,
“Agile and technology Coach”,
“Product Manager”
],
hobbies: [“photography”,”technology”,
”electronics”,”programming languages”,
“reading”,”kids&Family”]
}

4. AppDynamics SDK
While agent configurationis
great and flexible, sometimes custom use of API and
SDK provided by AppDynamics unlocks paths
for better Integration !

5. AppDynamics Confidential and Proprietary 5
REST
API
Events
{
use: [
“data”,
“automation”,
“configuration”
],
audience: [
“report”,
“external Tool”,
“developer”
],
Tools: [
“curl”,
“bash scripting”,
“java”,
”python”,
“groovy”
]
}
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
{
use: [
“alerts”,
“integration”,
“automation”
],
audience: [
“process”,
“incident Mngmt”,
“devops”
],
Tools: [
“bash”,
“html/http”,
“extension”
]
}

6. UC: Data Export
AppDynamics Confidential and Proprietary 6
JSON Data
XML Stream
curl -X GET
"http://controller.appdynamics.com/controller/r
est/applications/ECommerce/metric-data?..."
Curl
ADQLResult res = connection.query()
.withADQL("select series(eventTimestamp, '10m') as tsAgg," +
"count(*) as cc FROM mobile_session_record")
.withStart(start.getTime())
.execute(true);
Adql
String q = "export aggregated 'Average Response Time
(ms)' from " +
"'Business Transaction Performance'." +
"'Business Transactions'." +
"* as tier . * as transaction " +
"on Application 'Fulfillment' for 1 day";
executeQuery(q,new TableDataPrinter(),"TABLE");
Custom Metric Framework

7. UC: Application Flowmap
AppDynamics Confidential and Proprietary 7

8. UC: Flow map Export
AppDynamics Confidential and Proprietary 8

9. UC: Remedation & Alerts
AppDynamics Confidential and Proprietary 9
for ( HREvent event : events ) {
// Send any new event
if (event.isNew()) {
alertIntegration.send(event)
}
if (event.isUpdate()) {
alertIntegration.update(event.uuid, event)
}
// Send Memory Event
if (event.healthrule == “Memory Alert”) {
node.executeScript(“restartVM.sh”)
}
}
Controller Health rules & Policies
Alert Receiver
SNMP
Mail
HTTP
Machine Agent
Agent Communication

10. API
AppDynamics Confidential and Proprietary10

11. Why use API at all ?
AppDynamics Confidential and Proprietary 11
Modern Application
often are build based
on cascading
frameworks and use
heavily customized
and tuned
communication
protocols.

12. AppDynamics Confidential and Proprietary 12
Sometimes Integration with AppDynamics Agents via Agent API is
the best option to ensure a tight integration with custom Code that
will work anywhere even without specific configuration. This is
particular useful whenever a common (in house) Framework is
used in many different applications !

13. API usage & capabilities
AppDynamics Confidential and Proprietary13

14. AppDynamics Confidential and Proprietary 14
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Start and correlate
Transactions
• Mainly used for custom Frameworks or complex BT Naming
decisions.
• Will be packaged with Framework and enable “OOTB” support.
• Similar to POJO BT Detection.
• Especially important for PHP and Python Libraries that are not
supported by the OOTB Agent.
• Transaction Correlation in Custom Communication channels.
• Custom Correlation is possible in Java/.Net but need accessible
Payload location.
• Custom Correlation via API call doesn’t require any special Agent
configuration

15. AppDynamics Confidential and Proprietary 15
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Detect Exit Points
• Detect and declare custom exit points.
• Useful for Frameworks that do declare non-standard communication
Channels or Methods
• pooled-async communications
• Binary transmission channels
• Framework can declare exit point, properties and error status

16. AppDynamics Confidential and Proprietary 16
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Send Events / Metrics
• Sending direct metrics is very useful whenever MIDC’s can not
directly access the Metrics in a numeric format.
• No Configuration is needed on the Controller to support those
metrics.
• Complex decision process is possible, allowing only sending metrics
based on current application state.
• Sending direct Events can flag specific POI or trigger additional
behavior. This might not be possible outside of the current
Application State.
• Sending direct custom metrics and Events is supported for Java only.
Other technologies can use local Machine Agent listening port for
metrics and event rest call for events

17. Sample Metric and Event Chain
AppDynamics Confidential and Proprietary 17
Load Manager
Load Bots
Step 1
Step 2
Step 3
Step 4
• Load Manager will send new Event whenever new Step is reached!
• Frontend will send number of active Processing nodes as Metric
• Frontend will send event when a Failover or auto scale happens
• Frontend-events and Load-increase-events will start
Diagnostic Session on Frontend Component
Frontend
Processing
Warehouse
Audit

18. AppDynamics Confidential and Proprietary 18
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Add Diagnostic
Information
• Snapshot Information can be added based on current Application
State.
• Similar to Method Invocation Data Collectors (MIDC)
When to use API:
• Information might be hard to reach or needs to be constructed on the
fly.
• Information will be required in all Application using this framework.
• Information retrieval might be version specific, multiple versions
might be in use at the same time.

19. AppDynamics Confidential and Proprietary 19
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Retrieve current
Transaction
Information
• Retrieve current transaction ID and Information
• Very useful to enhance logfiles and other Information
Writes Log Lines that include
Transaction and Execution UUID
Log Monitoring
Analytics Agent captures Logfiles
and extracts Transaction UUIDs
AppDynamics User
Use correlated information in debug
sessions and problem management

20. AppDynamics Confidential and Proprietary 20
API
{
use: [
“data”,
“correlation”,
“embed”
],
audience: [
“developer”
],
Languages: [
“Java”,
“PHP”,
“Python”,
”Node.js”,
“C/C++”,
“mobile
]
}
Start and correlate
Transactions
Send Events / Metrics
Add Diagnostic
Information
Retrieve current
Transaction
Information
Java
Detect Exit points
PHP/Python Node.JS C/C++ Mobile
P
P
P
N/A
N/A

21. AppDynamics Confidential and Proprietary 21
Using AppDynamics Agent APIs allows tight integration especially
with custom frameworks and reusable components that are
part of multiple monitored Application. It allows Developer to gain
direct and full access about data formats and content and prevents
missing configuration and misinterpreted Results.
Using AppDynamics Rest API features allows DevOps to control,
automate and manage large scale AppDynamics implementations.
It allows rich data export and will enable tight integration of
AppDynamics in Alert and Incident Management procedures.
Using these advanced features will transform
reactive troubleshooting to proactive Monitoring.

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