Custom Performance Dashboards
7.3 Using Grafana and Prometheus for Open-Source Dashboards Grafana is commonly used with Prometheus for monitoring. Prometheus collects and stores time-series data, which can be visualized in Grafana. Both tools….
Tag: performance metrics
Role-based Dashboards for Training
In today’s fast-paced and ever-evolving business environment, organizations face the constant challenge of providing relevant and personalized training to their workforce. Traditional one-size-fits-all training methods often fall short of meeting….
Gamification Setup
In today’s fast-paced digital world, businesses, educational institutions, and online platforms are constantly seeking innovative ways to engage their users and keep them motivated. One of the most powerful strategies….
Performance of Analytics Workloads
Certainly! Here’s a comprehensive and detailed guide on Performance of Analytics Workloads, encompassing key strategies, best practices, and tools to optimize and monitor analytical workloads effectively. 1. Introduction to Analytics….
Key Performance Indicators (KPIs) Setup
Introduction In today’s data-driven business environment, the ability to measure success effectively is a cornerstone of strategic decision-making. Organizations across industries rely on Key Performance Indicators (KPIs) to assess performance,….
Leaderboards from user-submitted data
Leaderboards are an effective way to display rankings and foster competition or recognition in many types of applications, whether it’s for gaming, sales, educational achievements, or fitness tracking. Creating a….
Performance Reviews and Goals
Introduction Performance reviews and goal setting are two crucial aspects of modern human resource management. They form the backbone of how organizations assess employee performance, provide feedback, and foster personal….
Over-reliance on auto ML without review
Over-Reliance on AutoML Without Review: A Comprehensive Analysis Introduction In recent years, Automated Machine Learning (AutoML) has emerged as a transformative tool, democratizing access to machine learning by enabling individuals….
Not monitoring model drift
Understanding and Addressing Model Drift in Machine Learning Introduction In the realm of machine learning (ML), models are often trained on historical data to make predictions or classifications. However, over….
Not testing performance at scale
iturn0image0turn0image1turn0image3turn0image8Performance Testing at Scale: A Comprehensive Guide Introduction In the realm of cloud-native applications, ensuring optimal performance under varying loads is paramount. “Not testing performance at scale” refers to the….