Systems | Development | Analytics | API | Testing

tricentis

Why traditional QA metrics fall short as AI enters the pipeline

Apr 22, 2026 By Kateryna Gandzeichuk In Tricentis
Take this scenario: Your team ships a release with 91% code coverage. Every test in the suite passes. The pipeline is green, and leadership signs off. But two days later, a critical defect surfaces in production. Upon investigation, you find that the changed code was never actually tested, and the tests that were run covered different paths entirely. That 91% was real, but it was just measuring the wrong thing. And as AI tools generate more of the code inside those pipelines, the gap widens.
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dreamfactory

AI Connection Pooling Best Practices | DreamFactory

Apr 22, 2026 By Nic Davidson In DreamFactory
Key takeaways: For AI workloads, pooling must handle long connection hold times and heavy traffic. DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. Combined with tools like PgBouncer, these solutions free connections faster and improve scalability. Simple tweaks, such as segmenting pools and setting timeouts, can boost efficiency.
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InsightSoftware

Database Schema Design: Why Your Customers Can't Query Your Data (and How to Fix It)

Apr 22, 2026 By InsightSoftware In InsightSoftware
If you’re building a SaaS platform or data product, it’s important to consider what BI tools your customers are already using. They want to connect Tableau, Power BI, Logi Symphony, or their own analytics stack directly to your data. They want SQL access, and to query your platform the way they query everything else. But expectations don’t quite meet reality once as tickets start flooding in.
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loadfocus

How to Create Realistic Load Testing Scenarios for E-Commerce Websites in 2026

Apr 22, 2026 By LoadFocus In LoadFocus
Many e-commerce teams leave load testing feeling reassured, only to watch their sites falter when real customers arrive. This gap stems from traditional testing methods that generate misleading results, often concealing the actual risks beneath the surface.
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IBM Vault Alternatives to Consider in 2026

IBM Vault Alternatives to Consider in 2026

Apr 22, 2026 By SystemsDigest In SystemsDigest
HashiCorp Vault (now also referred to as IBM Vault or IBM HCP Vault) has been a default secrets management choice in engineering-heavy organizations for nearly a decade. However IBM's acquisition of HashiCorp has prompted a wave of reassessment and led to consideration of other tools like SplitSecure which are likely more cost effective for most orgs. . IBM has a mixed record of supporting acquired products over the long term. Roadmap direction, licensing changes, and support responsiveness are all open questions for customers planning multi-year deployments.
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dreamfactory

AI-Ready APIs for Legacy Systems

Apr 21, 2026 By Cody Lord In DreamFactory
80% of enterprise apps still use decades-old systems, but accessing their data for AI is tough. The challenge? Security risks, outdated interfaces, and slow performance. Here's the solution: API abstraction. This method creates a secure, no-code layer between AI and legacy systems. It keeps your old code intact while enabling AI to access data safely and efficiently.
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zymr

Patient Portal Software: Features, Costs & Development Guide (2026)

Apr 21, 2026 By Sitanshu Joshi In Zymr
Healthcare is no longer compared to other hospitals. It’s compared to digital-first experiences across industries. Speed, transparency, and self-service are now baseline expectations. Recent insights from McKinsey & Company show that consumers are taking a far more active role in managing their health and expect easier, digitally enabled interactions across their care journey. At the same time, health systems are under pressure to modernize.
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loadfocus

Top 7 Cloud Testing Tools for Performance Testing in 2026

Apr 21, 2026 By LoadFocus In LoadFocus
Many development teams remain tied to legacy on-premise performance testing. These setups require dedicated hardware, manual orchestration, and time-consuming local environment configuration. For teams releasing multiple times a week, this approach quickly becomes a source of frustration. Bottlenecks emerge not only during test execution but also in sharing results.
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loadfocus

How to Set Up Automated Load Testing for Microservices Using LoadFocus (2026 Guide)

Apr 21, 2026 By LoadFocus In LoadFocus
Traditional load testing methods fall short when applied to the complexity and pace of microservices. Attempting to test dozens or even hundreds of independent services with manual scripts or ad-hoc plans quickly becomes unmanageable. Each service may use a different language, run in its own container, and scale independently, making it easy to overlook critical bottlenecks.
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