Loading…
Loading…
Design trustworthy workload models and turn telemetry into capacity decisions.
Ce cours comprend 33 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Design trustworthy workload models and turn telemetry into capacity decisions. This production-oriented phase combines written instruction, visual models, interactive decisions, and practical work on the shared QA Practice Hub application from manual testing through automation and SDET practices.
Performance Testing walkthrough: Performance testing fundamentals
An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.
Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
Performance Testing
Cours gratuit
Performance Test Strategy
Load Testing
Stress Testing
Spike Testing
Volume Testing
Soak Testing
JMeter
Gatling
Correlation
Parameterization
Assertions
Distributed Testing
Grafana
Prometheus
Performance Reports
Bottleneck Analysis
Enterprise Performance Labs
Aucun avis pour le moment. Soyez le premier !
Inscrivez-vous au cours pour participer à la discussion.
Aucun commentaire. Lancez la discussion !
En vedetteThe 19 FAANG coding-interview patterns plus an AI-era track (gradient descent, neural nets, transformers, tokenization, vector search, RAG, LLM decoding) — every topic with interactive step-through animations.
The complete hands-on Docker course — 22 real terminal labs covering CLI, registries, Dockerfiles, networking, Compose, security, cleanup, production hardening, and a final interview exam. Built like KodeKloud.