A presentation at Bangalore Java User Group August Meetup in in Bengaluru, Karnataka, India by Aravind Putrevu
Monitor your Java Apps Elastic APM Aravind Putrevu| Dev Adv | Elastic aravind.dev | @aravindputrevu
What’s Up 2 ● The Stack ● What is APM? ● Why APM? ● What it can do? ● Demo
Elastic Stack SOLUTIONS Elastic Stack Kibana Visualize & Manage Elasticsearch Store, Search, & Analyze Beats SaaS Elastic cloud 3 Logstash SELF-MANAGED Elastic cloud Enterprise Standalone Ingest
Solutions Elastic Stack Logging Metrics APM Security Analytics App Search Site Search Enterprise Search Business Analytics FUTURE Kibana Visualize & Manage Elasticsearch Store, Search, & Analyze Beats SaaS Logstash SELF-MANAGED Ingest
What is APM? In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of performance and availability of software applications. APM is “the translation of IT metrics into business meaning ([i.e.] value).” -Wikipedia 5
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.. and when this happens… 7
you open these… 8
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What is APM? Application Performance Monitoring 11
Why APM? • APM records traces for database queries, external HTTP requests, and other slow operations that happen during requests to your application ‒ easier to see where your application is spending time • It collects not handled errors and exceptions ‒ easier to debug errors • • 12 Find performance bottlenecks and errors before your customers face them Increase the productivity of your development team
● 100% Open Source ● Readymade UI in Kibana ● Language Agents alpha 13 beta
How it works
Elastic APM Terminology • Service ‒ Set in the APM agent configuration to identify a particular group of APM agents as a single service, a way to logically identify a group of transactions. • Transaction ‒ The requests and responses that compose a service, e.g. the login API call, each made up of individual spans. • Span ‒ A single event within a Transaction such as a Method call, Database query, or Cache insert or retrieval, i.e. anything that takes time to complete. • Errors ‒ Groups of exceptions with matching exception or log messages. 15
Elastic APM Terminology Transaction, trace & span 16
Distributed Tracing 17
APM conceptual allegory Fence jump service: Transaction: 6.5 seconds • • • • 18 fence 1: 1 second fence 2: 2 seconds fence 3: 2 seconds fence 4: 2.5 seconds
APM conceptual allegory Fence jump service: Transaction: 1 second • 19 fence 1 - 1 second and error captured
How to instrument java apps?
How to instrument java apps?
How to instrument java apps? - Programmatic Attach <dependency> <groupId>co.elastic.apm</groupId> <artifactId>apm-agent-attach</artifactId> <version>${elastic-apm.version}</version> </dependency> ElasticApmAttacher.attach(); service_name=my-cool-service application_packages=org.example,org.another.example server_urls=http://localhost:8200 22
How it is working? Simple! Byte-code manipulation 23
What APM can do? 24 • Monitor your application • Trace your code • Reduce overall debugging time
Elastic Cloud {X} Application
Azure/GCP/AWS X Language Application in AKS/GKE/EKS
Elasticsearch on Kubernetes Cluster Any language Application
What you can’t do with APM? • Infrastructure Monitoring • Log analytics • Detect Security Attacks
How Elastic Stack can help you? 29
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References • https://github.com/elastic/apm-server • https://github.com/elastic/opbeans-java • https://www.elastic.co/webinars/elasticsearch-apm-overview • https://discuss.elastic.co/c/apm ela.st/java-apm bit.ly/learnK8s
Fin! @aravindputrevu
Slow applications are no fun. Application performance monitoring (APM) makes tracking down issues problems much easier. But which tools should you use?
With the release of Elastic APM, there’s a new option. Language server and Java client is fully open source (Apache 2.0) so you can get started with any app.
Elastic’s APM was released sometime ago, so it’s a very fresh option for tracing performance problems in Java applications (and other runtimes as well). The basic platform is free so it should be a welcome change for Java developers used to spending huge bills on comparable hosted platforms.
It’s useful out of the box for tracing basics on web requests including: - Request details - Response time percentiles - Transaction timelines - Application errors and stack traces - Individual code lines - Distributed Tracing
It can also be used to track any custom span in any Java application to find out where time is being lost and users are being slowed down.
for free. You
can too.