Performance monitoring enables the collection of data relevant to the performance of software applications. For example, Linux server monitoring tools are used to monitor the performance of Linux servers running applications. Raw performance data is examined by application analytics tools to derive actionable insights into issues that cause application performance to suffer. For organizations that rely on applications for critical operations and revenue, application system performance monitoring and analysis are essential tasks.
Automate performance analysis with Dynatrace’s application analytics tools
Dynatrace offers the most advanced digital performance management solutions in the market. Its integrated suite of application performance monitoring tools such as JVM profiling tools and .NET monitor tools capture complete stack performance metrics in any modern application environment. Dynatrace application analytics tools are powered by artificial intelligence algorithms to provide you with high value features including:
Automatic dependency detection and visualization – Dynatrace’s application analytics tools use machine-learning to automatically detect, in real-time, every dependency between application components, services, processes, hosts, containers, cloud components, and networks. Dynatrace discovers and analyses the structure and functional roles of all dependencies. Its Smartscape technology visualizes their relationships in an easy-to-understand infographic. With this visualization, you can easily drill down to each and every dependency.
Dynamic baselining and automatic anomaly detection – Dynatrace’s application analytics tools automatically learn your application’s baseline or "normal" performance under load. Learned baselines are adjusted dynamically as your application’s environment changes. Using these baselines, Dynatrace artificial intelligence builds statistical models and analyzes application behavior for statistical deviations to detect anomalies at a granular level. This enables highly accurate problem alerts and reduces or eliminates redundant notifications.
Automatic root cause analysis – Artificial intelligence algorithms utilized by Dynatrace’s application analytics tools automatically pinpoint the underlying root cause of each performance problem enabling you to resolve the problem before it impacts your customers. Dynatrace artificial intelligence analyzes dozens of data sources and millions of events including results from integrated log analytics tools to identify problems and prioritizes them based on severity. Dynatrace sends you a single notification for each problem highlighting its root cause. This automated and precise root cause analysis and reduce MTTR by more than 90%.
See each problem evolve through replays using Dynatrace’s application analytics tools
To aid in root cause analysis and problem resolution, Dynatrace provides a visual replay of the evolution of each performance issue. Dynatrace application analytics tools generate an infographic to illustrate the chain of events that led to each problem. You can see how a performance problem manifested and how each application dependency was affected over time. You get insight into the root cause of each performance issue and how each dependency behaved during each problem’s duration. This includes infrastructure dependencies like databases. You can augment these insights with metrics from Dynatrace’s integrated database monitoring functionalities such as MySQL profiling for greater detail on database behavior during the problem occurrence.