yCrash Demo video

yCrash app is a non-intrusive, secure, instant root cause analysis tool. It captures thread dump, heap dump, GC log, netstat, vmstat, top, and several more artifacts, right when the problem is happening in the production. It instantly analyzes all the artifacts & generates a root cause analysis report in the dashboard. Watch this below video clip to get a detailed overview of yCrash!

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7 habits of highly effective Performance Troubleshooters! – All Day Devops Conference

The World’s Largest 6th Annual All Day DevOps conference held on October 28th 2021. Our architect Ram Lakshmanan was invited there to present a webinar on the topic 7 habits of highly effective Performance Troubleshooters!

Below is the deck shared in the conference which explains, how to forecast the problems?, what to do when the problem is happening?, how to identify the root cause instantly? and how to prevent problems from happening in the future and so on.

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Detect proactively whether application’s memory is under-allocated

 When the application’s memory is under-allocated, it will result in the following side-effects: 

 a. Transactions response time will degrade

 b. CPU consumption will spike up

 c. OutOfMemoryError will be thrown

Only when OutOfMemoryError is thrown, most of us start to look at our application’s memory settings. This is like only when a patient goes to a critical condition; we begin to give treatment :-). 

In this post, let’s discuss how to detect whether your application’s memory is under-allocated or not in a proactive manner.

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Performance impact of java.lang.System.getProperty()

‘java.lang.System.getProperty()’ is a common API used by Java developers to read the System properties that are configured during application startup time. i.e. when you pass “-DappName=buggyApp” as your application’s startup JVM argument, the value of the ‘appName’ system property can be read by invoking the ‘java.lang.System.getProperty()’. Example:

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Is today’s microservice more bloated than yesterday’s monolith?

I am slightly hesitant to write this post, as it might attract some criticism. Nevertheless, I told myself there is nothing wrong with sharing my point of view (even though it might not be well accepted). I would like to share my personal experience regarding yesterday’s Monolithic and today’s Microservice architecture in this post.

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Overhead added by Garbage Collection Logging

Enabling Garbage collection logs on your application has certain advantages. In nutshell, Garbage collection logs will facilitate you to optimize Garbage Collection pause time, improve overall application’s response time, forecast production outages, reduce computing cost. Even though Garbage collection logs have these advantages, we weren’t sure what overhead does garbage collection logging add to the application. Thus we set out to conduct the below case study.

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