We would like to extend our thanks to Entwinkler.de JavaMagazin for translating and publishing our article ‘Simulating and troubleshooting deadlocks in Kotlin’ in the German language. It is an honor to have our work published in a print magazine, that too in German language.
Continue reading “Simulation und Fehlerbehebung von Deadlocks in Kotlin – Bahnbrechende Deadlocks”
Even unpredictable weather is being forecasted. But after all these technological advancements, are we able to forecast our application performance & availability? Are we able forecast even for the next 20 minutes? Will you be able to say that in the next 20 minutes application is going to experience OutOfMemoryError, CPU spikes, crashes? Most likely not. It’s because we focus only on macro-metrics:
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Continuous Integration/Continuous Deployment (CI/CD) has become central to software development. To ensure high-quality software releases smoke tests, regression tests, performance tests, static code analysis & security scans are run in CI/CD pipeline. Despite of all these quality measures, still OutOfMemoryError, CPU spikes, unresponsiveness, degradation in response time are surfacing in production environment.
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In a lot of enterprises, performance tests are conducted regularly. As part of these tests, QA team gathers various metrics and publishes them in a performance report. Metrics reported in the performance report typically tend to be: Continue reading “10 MICRO METRICS FOR YOUR PERFORMANCE REPORTS”