Littles Law Technology Academy

  📌 Popular Open Source Tools Apache JMeter Widely used, supports HTTP, JDBC, FTP, SOAP, REST, etc. Extensible with plugins. GUI + CLI (non-GUI for load execution). Gatling Scala-based, developer-friendly. Supports CI/CD pipelines. Locust Python-based, distributed load generation. Scripted in Python for flexibility. 📌 Commercial Tools LoadRunner (Micro Focus) Enterprise-grade, wide protocol support. Advanced analytics and monitoring. NeoLoad (Tricentis) Supports APIs, web, SAP, Citrix, mobile. Good CI/CD integration. BlazeMeter Cloud-based, JMeter-compatible. Scalable distributed testing. Dynatrace Synthetic / AppDynamics / New Relic Focused on monitoring + synthetic testing. 📌 Cloud-Native/Modern Options k6 – Modern scripting (JavaScript), CI/CD friendly. Azure Load Testing / AWS Distributed Load Testing – Cloud-native integration. Google Cloud Performance Testing (via k6/JMeter integ...

📌 Definition Performance Testing is a non-functional testing technique used to determine how a system performs under expected or peak workload conditions in terms of responsiveness, stability, scalability, and reliability . 🎯 Objectives Identify response time, throughput, and resource utilization . Detect bottlenecks (CPU, memory, I/O, network, DB). Establish a baseline for performance. Ensure the system meets SLAs (Service Level Agreements) . Validate scalability and stability . 🛠️ Key Performance Metrics Response Time (Latency) : Time taken to respond to a request. Throughput : Number of transactions processed per second/minute. Concurrent Users : Number of users accessing the system simultaneously. Error Rate : Percentage of failed requests. Resource Utilization : CPU, memory, disk I/O, network usage. 🔑 Types of Performance Testing (High-Level) Load Testing – Normal & peak load handling. Stress Testing – Beyond capacity (brea...

 Day 01 : 💡 Technical Tip of the Day: Kubernetes Made Simple Ever struggled to explain  Pods ,  ReplicaSets , and  Deployments  in Kubernetes? Here's a lightbulb analogy that makes it crystal clear: 🔹  Pod = Single Lightbulb The basic unit of work - one container (or a few tightly coupled ones) running together. 🔹  ReplicaSet = Light Switch Ensures a specific number of bulbs are always on. If one burns out, it automatically replaces it to maintain your desired count. 🔹  Deployment = Smart Home System The intelligent orchestrator that: ✅ Controls the number of bulbs (like ReplicaSet) ✅ Seamlessly upgrades to new, energy-efficient models (rolling updates) ✅ Rolls back to old bulbs if the new ones flicker (rollback capability) Why this matters:  Understanding these core concepts is essential for anyone working with containerized applications. Each layer adds more intelligence and automation to your infrastructure. What's your favorite analo...