Jython monitoring and performance management

Quickly find errors in your Jython applications

What is Jython?

Jython is an implementation of the Python programming language designed to run on the Java platform.

Dynatrace monitors and analyzes the activity of your Jython applications, providing visibility from the browser through all the tiers down to the individual database statements.

Locate bottlenecks in your Jython code

Dynatrace enables you to dig into your applications and find hotspots at the code level. Identify slow services by investigating service response times and failure rates per service-method.
Understand the root cause of your Jython problems

Dynatrace directly pinpoints components that are causing problems with big data analytics of billions of dependencies within your application stack.
Get the full picture including network health and log file analysis

Dynatrace provides a clear picture of all inbound and outbound process connections over your network interfaces and automatically discovers all log files.

See all Jython performance metrics in real-time

Dynatrace captures every transaction, across every tier, without gaps or blind spots.
Pre-configured dashboards provide all relevant metrics down to SQL statement and code level.
In under five minutes the Dynatrace OneAgent automatically discovers your entire Jython application.

Automatically discover and map applications and infrastructure

Dynatrace automatically detects and visualizes your Jython applications and its dependencies end-to-end: from website to application to container, infrastructure and cloud.

Dynatrace Smartscape provides an interactive map of your application across all layers.
See how all components relate to and communicate with one another.
Our unique solution was designed for cloud environments where instances are rapidly created and deployed, making it a perfect fit for microservices environments.

Smartscape Services of web request Dynatrace screenshot

Monitor database query executions

Dynatrace tracks and inspects all SQL statements and NoSQL queries sent by your application. There is no better way to solve a database problem than to have the SQL statements in question directly on screen. See execution frequencies, response times, and long-running queries to JDBC-backed databases like MySQL, SQL Server, PostgreSQL and Oracle, as well as NoSQL databases like Cassandra and MongoDB.

Database methods details in Dynatrace screenshot

Database metrics reveal execution frequencies, response times, and long-running queries.

Database overview in Dynatrace screenshot

Get an overview on database response times, failure rates, most time consuming requests, and slowest requests.

iOS Mobile Application Performance dashboard Dynatrace screenshot

Find out which operations are taking the most time and see CPU metric without a local agent installed.

SQL database statements in Dynatrace screenshot

Retrieve the SQL execution plan from any SQL statement ...

SQL Queries or Procedures overview in Dynatrace screenshot

... and see execution plan details like estimated rows, cost, and CPU cost.

With Dynatrace, finding a problem only takes us minutes to identify, saving us precious time and resources.

Eugenia Gillan VP Engineering at ZoomInfo

Dynatrace tells you the root cause of your Jython problems!

Dynatrace detects and diagnoses problems in real time, pinpointing the root cause down to the offending code before your customers are even affected.

Detect availability and performance problems across your stack proactively.
Dynatrace directly pinpoints components that are causing problems with big data analytics of billions of dependencies within your application stack.
A visual replay of problem evolution helps you understand how problems evolved over time.

Apmusecases problemevolution 1918 7cc954c834

Automatic root-cause analysis is a unique capability of Dynatrace changing the life of operations teams.

Dynatrace smart baselining learns what normal looks like for your application. Eliminate false positives and constant noise regarding response times, failure rates and throughput.