There is no ‘one-size-fits-all’ approach for Application Performance Management. Recently, the open source community is increasingly providing a great amount of tools that excellently address different aspects of APM. Combining the aspects and strengths of these tools is a great potential for building tailored APM solutions. Get to know the OpenAPM initiative (https://openapm.io) and see examples on how to integrate open source tools for future-proof and tailored APM solutions!

1. OpenAPM
Application Performance Management
tailored to your needs
Alexander Wert | Marius Oehler

2. Application Performance Management
HardwareApplication BackendNetworkUsers & Clients

3. The Top Dogs
• Dynatrace
• AppDynamics
• New Relic
• Data Dog
• Riverbed
• Instana
• CA APM
• IBM Corelsense
• …
One Size Fits All?
-

4. Selecting an APM solution …
Business Transaction Detection
Trace-based
Data Analytics
End User Monitoring
Metric-based Alerting
Anomaly-Detection
…
Dashboards
In-house vs. 3rd party dev
DevOps vs. Dev + Ops
Agile vs. Waterfall etc.
Commercial vs. Open-Source
…
Java, .Net, NodeJS, etc.
Operating Systems
Microservices vs. Monoliths
On-Premise vs. SaaS APM
Used Frameworks Cloud
…
Privacy regulations
Security
User & Role Mngmt.
Standards, Certifications
…
. . .

5. APM solutions need to be
to the individual contexts!

6. The Beauty of Open Source Tools for APM …
many, many
more …

7. … and the Questions

8. The Initiative https://openapm.io

10. Let’s roll up sleeves!
 … gather data
 … visualizing application maps
 … detect anomalies
 … analyze root causes

11. Data Gathering

12. Data Gathering
pseudo handle_Http_Request (req) {
trace_Context.add_Tag( “service” = ”customer-data-service” )
trace_Context.add_Tag( “businessTransaction” = ”update-addresses” )
remote_Trace_Context = extract_Context_From_Http_Header(req)
if ( remote_Trace_Context != null ) {
trace_Context.add_Tag( “orig_service” = remote_Trace_Context.get_Tag(“service”) )
trace_Context.add_Tag( “businessTransaction” = remote_Trace_Context.get_Tag(“businessTransaction”) )
}
}

13. Data Gathering
pseudo send_Http_Request (...) {
http_Request = prepare_Http_Request(...)
Trace_HTTP_Header_Injector.inject_tags(trace_Context, http_Request)
http_Request.send()
}

14. Data Gathering
pseudo handle_Http_Request (req) {
time_start = current_time()
handle_request(...)
duration = current_time() - time_start
duration_measure = create_Double_Measure( „service-response-time“, „The response time in milliseconds.“, „ms“ )
Stats_Recorder.put( duration_measure, duration ).record()
}

15. Data Gathering

16. Application Flow Map

17. Application Flow Map

18. Application Flow Map
…

19. Application Flow Map

20. Application Flow Map

21. Detecting Anomalies

22. Analyze Root Causes

23. Analyze Root Causes

24. Analyze Root Causes

25. Analyze Root Causes

26. Try it Yourself
Gatling Load
Spring Boot - PetClinic
Telegraf InfluxDB
Prometheus
Grafana
Jaeger
openapm/spring-petclinic-microservices

27. Let’s Wrap Up

28. @alexanderwert
alexander.wert@novatec-gmbh.de
@openapmio
info@openapm.io
https://openapm.io
https://github.com/openapm
@MariusOe
marius.oehler@novatec-gmbh.de