Systems | Development | Analytics | API | Testing

Top 7 Network Protocols Every Tester Must Know in 2026

Performance engineers who tailor their analysis to the specific behaviors and metrics of each network protocol will uncover issues that generic approaches miss. With protocols like QUIC and HTTP/3 seeing rapid adoption, keeping testing methods current is essential for credible results.

How to Build a Fee Transparency Compliance System for Multifamily Listings (While the Rules Are Still Settling)

A leasing team lowers the admin fee on a two-bedroom unit inside the PMS on Monday. By Friday, the property’s own site still shows the old figure, two syndication partners show a third number, and the Google Business Profile lists no mandatory fees at all. Every one of those surfaces is an advertisement. Under a growing set of state all-in-pricing laws, each one is supposed to display the same total monthly price. The regulation itself is readable in an afternoon.

What IT Teams Should Know Before Deploying Unified Communications

What can cause a unified communications rollout to go off track even when the initial project plan looks straightforward? Deploying unified communications may sound simple in a kickoff meeting, but in practice, it can be one of the more deceptively complex infrastructure projects an IT team can take on because it affects nearly every department at once. Network capacity, licensing, integrations, security, user adoption, and compliance requirements can all create problems if they aren't addressed early.

Auto-fix lint errors in CI: PRs that fix themselves

Count how many times you’ve proudly submitted a new PR only for CI to fail for the most mundane and annoying reasons: While these lint rules are useful and important to enforce, would it be possible to just…not have to deal with them? Enter auto-fixing CI, the concept of self-healing PRs and CI workflows, without any human (or agent) interaction: The key detail that enables all of this to work: modern linters can apply trivial and mechanical fixes to most lint violations.

Where agentic AI is most valuable in performance testing

Quick summary: Performance teams can generate tests in minutes, but the analysis still takes hours. Agentic Performance Testing in NeoLoad uses domain-specialized AI agents to deliver a finished analysis from a single request, so engineers can start with the conclusions, rather than the raw data. Performance testing answers a critical question in the quality engineering lifecycle: will this hold up when real people use it, under real conditions, at real volume?

Why browser-based automation can't test your ERP apps

Picture a large-scale grocery and retail chain launching its first online storefront. The setup is complicated: a single online order must travel through an SAP eCommerce platform, multiple payment and loyalty systems, before disappearing into back-end SAP supply chain and ERP apps. The complexity of merging the online and offline business is like a “digital tsunami.” For many SAP enterprises, this sounds familiar.

AI Model Bias Verification: Step-by-Step Framework for Auditing and Mitigating Model Bias

Artificial intelligence plays a vital role in high-stakes decision-making across recruitment, credit scoring, healthcare, and criminal justice. This rapid adoption is reflected in market data (Statista): the global AI technology sector is valued at approximately $617 billion and is projected to surpass $1.4 trillion by 2032, with a steady annual growth rate (CAGR 2026-2032) of 14.82%.However, mathematical execution does not guarantee objectivity.