Enforce Best Practices

Chapter: Performance Engineering

In the previous sections of this chapter we have taken a detailed look at the technical aspects of performance engineering in development and as part of continuous integration. In this section we discuss the most common problem patterns and consider the organizational and conceptual aspects of each.

Plan and Define Quality

Quality starts with a well-thought-out definition of new features, along with a detailed features and capabilities description—the new-feature story. The software architects should review every story before it becomes part of a final development sprint by enforcing the following additional requirements:

Enable your Engineers with Tools

As discussed throughout this chapter, developers need tool support to analyze the behavior of the implemented code, verify architectural correctness, and check performance and scalability. Everything starts with the developers, and developers require the right tools to ensure that their code adheres to all defined architectural rules. This includes the following:

Educate your Engineers

Dynatrace continually educates engineering staff through different channels:

Education time is well-invested time. It helps your engineers create higher-quality code with less time spent finding and fixing problems.

Automate, Automate, Automate and Report

The more tasks you can automate, the better. You get faster results on code quality, which then allows you to tell your engineers whether they can continue coding new features or if they need to fix problems to bring software quality back on track. Not everything can be automated, but thanks to continuous integration and the availability of ever-advancing toolsets, we can automate things like unit, component, integration, functional, and load tests. We can automate performance analysis as well as architecture validation. All of this is possible, but it requires the dedication of the engineering team:

The last piece of advice is on reporting: bring the results back to engineering as quickly as possible. At Dynatrace we use several dashboards that show the status of current development. We see the number of tests executed, how many of them failed and succeeded, and whether we have a stable build or not. These dashboards are visible throughout the office so that every engineer can see what’s going on upon entering or leaving the building, or even just when getting a cup of coffee.

Read the Java enterprise performance eBook online

Chapter: Application Performance Concepts

Differentiating Performance from Scalability

Calculating Performance Data

Collecting Performance Data

Collecting and Analyzing Execution Time Data

Visualizing Performance Data

Controlling Measurement Overhead

Theory Behind Performance

How Humans Perceive Performance

Chapter: Memory Management

How Garbage Collection Works

The Impact of Garbage Collection on application performance

Reducing Garbage Collection Pause time

Making Garbage Collection faster

Not all JVMS are created equal

Analyzing the Performance impact of Memory Utilization and Garbage Collection


GC Configuration Problems

The different kinds of Java memory leaks and how to analyse them

High Memory utilization and their root causes

Classloader releated memory issues

Out-Of-Memory, Churn Rate and more

Chapter: Performance Engineering

Approaching Performance Engineering Afresh

Agile Principles for Performance Evaluation

Employing Dynamic Architecture Validation

Performance in Continuous Integration

Enforcing Development Best Practices

Load Testing—Essential and Not Difficult!

Load Testing in the Era of Web 2.0

Chapter: Virtualization and Cloud Performance

Introduction to Performance Monitoring in virtualized and Cloud Environments

IaaS, PaaS and Saas – All Cloud, All different

Virtualization’s Impact on Performance Management

Monitoring Applications in Virtualized Environments

Monitoring and Understanding Application Performance in The Cloud

Performance Analysis and Resolution of Cloud Applications

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