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production testing

6 articles · Page 1 of 1
MaGe Linux Operations
MaGe Linux Operations
Oct 20, 2026 · Artificial Intelligence

5 Critical Tests Before Deploying AI Agents: Drift, Hallucination, Privilege Escalation, Latency & Cost

This comprehensive guide details a production-ready evaluation framework for AI Agents covering five essential test categories — drift, hallucination, privilege escalation, latency, and cost — with deterministic assertions, LLM-as-judge integration, CI/CD pipelines, and regression loops to prevent silent failures.

AI agent evaluationCI/CD integrationcost monitoring
0 likes · 101 min read
5 Critical Tests Before Deploying AI Agents: Drift, Hallucination, Privilege Escalation, Latency & Cost
Random Bulletin
Random Bulletin
Sep 6, 2026 · Operations

Continuous Load Testing: Keeping Capacity Evidence in Sync with System Evolution at 10M QPS

This article explains why ad-hoc load testing fails at scale and details a four-stage evolution toward continuous load testing, covering baseline regression, release gates, failure capacity verification, production safety boundaries, and organizational ownership to keep capacity evidence current with system changes.

QPSSystem architecturebaseline regression
0 likes · 40 min read
Continuous Load Testing: Keeping Capacity Evidence in Sync with System Evolution at 10M QPS
HelloTech
HelloTech
Sep 27, 2021 · Operations

Fault Drills and Chaos Engineering Practices for Enhancing System Stability

The initiative introduces fault‑drill and chaos‑engineering practices—defining steady‑state metrics, injecting real‑world failures in controlled experiments, automating continuous production tests, and limiting blast radius—to detect weaknesses early, accelerate fault location and recovery, boost emergency response metrics, and foster a resilient engineering culture.

automationchaos engineeringfault drills
0 likes · 11 min read
Fault Drills and Chaos Engineering Practices for Enhancing System Stability
dbaplus Community
dbaplus Community
Aug 21, 2021 · Operations

How ByteDance Scales Chaos Engineering with Scenario‑Driven Proactive Experiments

This article explains ByteDance's journey from basic fault‑injection testing to a production‑grade, scenario‑driven proactive chaos engineering platform that automates experiments, defines stability metrics, controls blast radius, and continuously validates service dependencies to improve system resilience.

Scenario Testingchaos engineeringmetrics
0 likes · 21 min read
How ByteDance Scales Chaos Engineering with Scenario‑Driven Proactive Experiments
FunTester
FunTester
Apr 6, 2020 · Operations

Why and How to Automate Production Testing with Selenium Grid

This article explains the challenges of validating test cases in production environments, especially for cross‑browser scenarios, and outlines practical strategies—including Selenium Grid automation, blue‑green, canary, and A/B testing—to ensure reliable, efficient production testing.

A/B testingautomationblue-green-deployment
0 likes · 9 min read
Why and How to Automate Production Testing with Selenium Grid