Enterprise Application Monitoring in production with OverOps

                                     In this article we will discuss OverOps which will monitor application and provides insights about the exceptions with code and the variable state which causes the exception. In most of the traditional logging which we do with Splunk or ELK or any other log aggregation tool we capture the exception stack trace to troubleshoot the issue. But with exception stack trace alone, finding out the root cause behind and fixing it is hard and time consuming. If you attach OverOps agent to the application along with exception, it will provide the source code where exactly the exception happened and the variable state and JVM state during that time. OverOps supports the below platforms.

• Java
• Scala
• Closure
• .Net

It also provides integration with existing log and performance monitoring tools like Splunk, ELK, NewRelic, AppDynamics etc…

In this article I will show you how to configure OverOps for Java standalone application. You can get the trail version of OverOps agent by registering based on the operating system. We can go either with on premise or SaaS based solution. To demonstrate this I have created sample Spring Boot application and the jar is launched with OverOps agent to monitor the exceptions thrown  based on certain business rule. But in the enterprise application the business logic will be critical and the run time exceptions will be raised unpredictably.

java -agentlib:TakipiAgent -jar Sample_Over_Ops-0.0.1-SNAPSHOT.jar

With the above application when I accessed the REST end point which generated exceptions and the same is captured in OverOps dashboard as shown below.

The sample application is available here.

Happy Monitoring!!

About Siva Prasad Rao Janapati

Siva Janapati is an Architect with experience in building Cloud Native Microservices architectures, Reactive Systems, Large scale distributed systems, and Serverless Systems. Siva has hands-on in architecture, design, and implementation of scalable systems using Cloud, Java, Go lang, Apache Kafka, Apache Solr, Spring, Spring Boot, Lightbend reactive tech stack, APIGEE edge & on-premise and other open-source, proprietary technologies. Expertise working with and building RESTful, GraphQL APIs. He has successfully delivered multiple applications in retail, telco, and financial services domains. He manages the GitHub(https://github.com/2013techsmarts) where he put the source code of his work related to his blog posts.