The latest News and Information on Application Performance Monitoring and related technologies.
Application developers and application operations personnel are together responsible for ensuring that Java web applications perform well. In an earlier blog, we had discussed 7 configurations that Application Operations teams can use to make their Java applications high-performing. In this blog, we will focus on Application Developers and discuss 6 ways in which they can enhance the performance of their Java applications.
The promise of NoSample™ full-fidelity distributed tracing with unlimited cardinality exploration is that no application performance degradation will be sampled away. This ensures that executions, which exemplify problems related to latency and/or errors will be retained for further inspection and analysis. Additional value can be extracted from trace data by determining when such investigations should occur, in other words, by identifying spikes and anomalies in endpoint latency or error rate.
There has been a lingering perception that Java applications are slower than applications written in other languages. So, if performance is important for your application, you should not be considering Java as the programming language to use. This perception was true about 20 years ago, when Java was initially used for developing applications. In the early Java implementations, it took a long time for the Java Virtual Machine (JVM) to start.
Ten years ago NewRelic, DataDog, Splunk, Dynatrace and SolarWinds built tools we loved to use. They were easy to implement and solved problems quickly and efficiently. Each company was known primarily for a single, well-conceived product. NewRelic’s APM. Splunk’s log file analyzer. DataDog’s server monitor. SolarWinds’ network performance monitor. These companies were beloved by users during the 2000s. Fast forward to 2020 and the world is very different.
