Performance Monitoring Framework: Definition And Application

Performance monitoring is a set of processes and tools that help determine how well applications are running in the cloud. Performance monitoring frameworks are used to identify outcomes and indicators of success and improvement, as well as challenges. They are also used to encourage accountability and transparency. Performance monitoring can be applied to both individuals and organizations, and there are several types of performance management systems, including the Balanced Scorecard, Management by Objectives, and Budget-Driven Business Plans.

Performance monitoring tools

One example of a performance monitoring tool is Performance Monitor, a system monitoring program introduced in Windows NT 3.1. It can monitor various activities on a computer, such as CPU or memory usage, and can be used to determine the cause of problems on a local or remote computer by measuring the performance of hardware, software services, and applications. Performance Monitor can also define thresholds for alerts and automatic actions, generate reports, and view past performance data.

Another performance monitoring tool is the Balanced Scorecard (BSC), which combines four different business perspectives: financial, customer, internal processes, and people, to help companies understand and achieve their organisational objectives. BSC includes objectives, measures, and initiatives to help create alignment and a structured reporting process.

Other performance monitoring tools include observability tools, tracing systems, alert and dashboards, and Application Performance Monitoring (APM) tools, which measure the latency a user may expect on a website or identify bottlenecks in a network. These tools are essential for maintaining the health of cloud applications, infrastructure, and networks.

Performance monitoring in cloud computing

Performance monitoring is the process of observing and analyzing a system and its components to identify deviations from normal behaviour and potential issues. Performance monitoring in cloud computing is a set of processes and tools that determine how well applications are running in the cloud. Due to the highly distributed nature of cloud applications, special software is required to trace where traffic is going between networks and applications to truly understand how well an application is performing.

There is an entire industry dedicated to measuring how well cloud applications, infrastructure, and networks perform, called Application Performance Monitoring (APM). APM tools are installed by developers and infrastructure engineers, and operations teams monitor these systems in real-time to ensure all systems are healthy. APM tools can tell you the latency a user may expect on your website, or where a bottleneck in your network is based on telemetry.

Cloud performance monitoring tools provide deep visibility into the performance of cloud infrastructures in real time. They monitor cloud performance KPIs such as health, availability, and other crucial performance metrics of on-premise applications as well as key cloud-native technologies from major providers such as Amazon AWS, Microsoft Azure, Google Cloud, Kubernetes, Docker containers, and Red Hat OpenShift.

The benefits of cloud APM include monitoring application performance and availability, quickly diagnosing and troubleshooting performance issues, and helping administrators identify poor UX quickly. However, there are also challenges, including environment complexity, real-time monitoring, and costs.

Some examples of cloud APM tools include AWS CloudWatch, Microsoft Azure Monitor, Google Cloud Operations, Datadog, AppDynamics, New Relic, and Prometheus.

Performance monitoring in computer science

Performance monitoring consists of monitoring the performance of a system and the devices in the system. This includes monitoring read rates, reading accuracy, and error frequency to identify deviations from normal behaviour and potential issues. Performance data on predetermined metrics helps determine the normal behaviour of the system and identify any variances. Performance monitoring is also called behaviour monitoring.

Performance monitoring is closely associated with application development and optimization. It detects the most frequently executed sections of code and measures the application's resource footprint. Monitored programs need to be instrumented, meaning they are modified through the insertion of suitable measurement and result collection functions. This can be done at the source level using compiler techniques, at the library level by instrumentation, or at the executable level. Each of these mechanisms differs in the degree of user involvement, measurement scope, precision, supported features, and intrusiveness.

One of the fundamental metrics is time. Its measurement may be invoked from the command line using a system utility or by instrumenting an application with timestamp collection functions.

A Windows administrator may use the Performance Monitor utility to monitor the performance of their servers. This can be used to create baseline performance statistics by establishing "normal" performance and then locating performance issues by looking for deviations from the baselines.

Performance monitoring in human resources

Performance monitoring is the process of observing and analysing the performance of a system and its components to identify deviations from normal behaviour and potential issues. Performance monitoring frameworks are a set of processes and tools that help determine how well applications are running in the cloud.

Performance management systems enable HR professionals to track and monitor the performance of individual employees, departments, and the organisation as a whole. These systems are often based on organisational and job-specific competencies required for successful job performance. They typically includesection removed from source textend of section removed. The process usually involves setting goals and objectives, providing ongoing feedback, and evaluating results.

Performance planning is a crucial aspect of performance management, where goals and objectives are established, providing a clear direction for employees and helping them understand how to allocate their time and efforts. Performance coaching involves providing regular feedback, direction, and support to employees, and coaching them to modify their performance and increase their skills and proficiency where necessary. Performance reviews are also an essential part of the process, where managers give feedback, recognise employees' strengths, and discuss areas that require improvement.

Overall, performance monitoring in human resources is a continuous cycle of communication between managers and employees, aimed at accomplishing the strategic goals of the organisation and helping employees reach their maximum potential.

Performance monitoring in criminal justice

A performance monitoring framework is a set of processes and tools that help determine how well applications are running in the cloud. Performance monitoring involves observing and analyzing the performance of a system and its components to identify deviations from normal behavior and potential issues.

To develop effective performance monitoring in criminal justice, several steps need to be taken:

• Determine the broad purposes of criminal justice reforms. This includes goals such as shrinking the footprint of the criminal justice system, focusing on moderate to high-risk offenders, and reducing recidivism.
• Identify relevant outcomes and indicators: This involves reviewing literature on the development, characteristics, and elements of successful performance monitoring frameworks. It also includes conducting environmental scans, reviewing national and international sources, and consulting with stakeholders to identify relevant examples and compile an inventory of expected outcomes and indicators.
• Involve partners and stakeholders: It is important to engage with key partners, stakeholders, and experts in the criminal justice system to seek their input and feedback on the development of performance monitoring frameworks.
• Ensure accessibility and transparency: Performance information and data should be accessible to the public to promote accountability, transparency, and demystify the criminal justice system.
• Use a variety of measurable indicators: The framework should include a range of quantitative and qualitative indicators that are tied to specific outcomes. These indicators should be dynamic, flexible, and adaptable to changing circumstances.
• Set benchmarks and targets: While specific performance objectives may be ideal, it is important to recognize that many criminal justice indicators do not have agreed-upon targets or benchmarks. Instead, directional targets (e.g., increase, decrease, neutral) can be used to monitor performance.
• Establish a monitoring tool: The performance monitoring framework should focus on providing an overview of the system's activities and performance at various points in time rather than measuring or grading it.

By following these steps, a comprehensive performance monitoring framework can be developed for the criminal justice system, enabling policymakers and stakeholders to assess the effectiveness of reforms, ensure accountability, and improve the system's overall performance.

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