Systems | Development | Analytics | API | Testing

Cache Invalidation: Bottleneck in Testing

Neglecting cache invalidation during performance testing can lead to misleading results. Without realistic invalidation, tests may present an inaccurate sense of speed and scalability, masking bottlenecks that only emerge under real-world traffic. Systems that perform well in synthetic benchmarks may struggle when caches serve stale or inconsistent data in production.

Turn Real API Traffic Into Tests on Kubernetes | Keploy Demo

Test your whole backend without starting any of it. In this demo, Keploy records real API traffic from an order service running on Kubernetes and turns it into API tests and dependency mocks automatically: MySQL, HTTP and DNS calls included. Then it replays those tests against a digital twin of the backend, so nothing else needs to be running.

4 Bugs That Quietly Break Your App Without Crashing (How to Find Them) #Shorts #Debugging #Bugfender

No crash doesn't mean no bug. Bugfender helps you investigate issues on real devices, even when the app doesn't crash. 4 bugs that quietly break your app without crashing it, and how to find each one. No crash report, no error popup, just users who can't do what they came to do. Each example follows the same beginner-friendly method: what the user sees, the evidence to check, and what to try next.

10 Best Marketplace Development Companies for Scaling Platforms in 2026

Most marketplace listicles are written for founders shipping their first MVP. This one is for the team after that: GMV is real, sellers are onboarding weekly, and the platform that got you here is starting to crack. I wrote it for CTOs and product leaders at Series B+ marketplaces choosing a partner for the next stage of growth.

Implementing a Digital Front Door: Checklist, KPIs, and Best Practices

‍Digital front door implementation connects patient access tools with clinical systems and administrative workflows. It includes configuring scheduling, intake, communication, and payment functions across connected healthcare applications. These connections help patients complete tasks while keeping information available to operational teams.

Codemagic Patch now supports Ionic Capacitor: OTA updates for your web layer

Codemagic Patch ships live updates of HTML, CSS, and JavaScript to Capacitor, Ionic, and Cordova-on-Capacitor apps, without a new store binary. Say a checkout button stops working on some Android 15 devices, and the fix turns out to be four lines of TypeScript. In a Capacitor app, those four lines live in the web layer, inside a WebView, nowhere near native code.

AI-Powered Performance Testing: Why Modern Systems Need Intelligent Engineering

Digital platforms move faster than ever today. In complicated systems, engineering teams upload code modifications numerous times a day. These apps are powered by distributed microservices, third-party APIs, and cloud resources. But many teams still validate speed with legacy workflows. Traditional load tests run solely static scripts against pre-planned scenarios. After the developers complete constructing the feature, they model historical traffic.

What Is a Digital Front Door in Healthcare? Definition, Components, and Examples

‍A healthcare digital front door connects patient-facing access tools with healthcare scheduling, registration, and communication systems. It enables patients to find providers, book appointments, and complete administrative tasks through digital channels. Integrations with electronic health records (EHRs) help transfer information into existing operational workflows.

Controlling the Uncontrollable: Bring FinOps discipline to AI spend

AI costs are unpredictable and behave nothing like traditional cloud spend. FinOps teams face new challenges: opaque model pricing, and hidden costs in places like prompt design and context length. In this session, our Head of AI, Prajakta, will show you how to bring FinOps discipline to AI costs: how to see them, attribute them, and optimize them. She’ll give you practical levers that can cut AI costs by 20 – 80%.