Systems | Development | Analytics | API | Testing

keploy

Spike Testing: A Deep Dive Into Performance Under Pressure

Aug 29, 2025 By Ayush Gupta In Keploy
In this day and age of the world wide web, users don’t wait around – neither should your app. Imagine your site going viral overnight, or a flash sale that generates thousands of users overnight. Will your server crash or expand with confidence? Welcome to Spike Testing. In this blog, we’ll explore what spike testing is, why it matters, how to do it right, and how tools like Keploy can help make your tests more stable and meaningful.
Read Post
keploy

Visual Regression Testing: Detect Ui Issues Before Users Notice

Aug 29, 2025 By Mohamed Imthiyas M In Keploy
Visual regression tests have effectively enhanced the consistency of the UI maintenance by teams. It improves the quality of the user experience, lowers the possibility of UI bugs in production, saves hours of manual quality assurance activities by automatically detecting unintentional visual changes in web applications.
Read Post
How to Choose a UK Pen Testing Company (A Practical Buyer's Guide)

How to Choose a UK Pen Testing Company (A Practical Buyer's Guide)

Aug 29, 2025 By SystemsDigest In SystemsDigest
Choosing a penetration testing partner in the UK means inviting specialists to probe systems that support customers, revenue, and reputation. The right choice delivers clear risk reduction and developer-ready fixes. The wrong pentesting company hands you a PDF that gathers dust or even causes damage to your systems. This guide explains how to shortlist well, with a focus on scope, assurance, methodology, reporting, team quality, data handling, pricing, timelines, and the extras that matter in UK public and regulated sectors.
Read Post
astera

What is AI Data Cleaning?

Aug 28, 2025 By Tooba Tariq In Astera
Before jumping into AI data cleaning directly, let’s first understand data cleaning itself. Data cleaning, also known as data scrubbing, is a critical data preparation step where organizations remove inconsistencies, errors, and anomalies to make datasets ready for analysis. The cleaning process may involve actions like removing null values, correcting formatting, fixing syntax errors, eliminating duplicate data, or merging related fields like City and Postal Code.
Read Post
Koyeb

Scale-to-Zero: Wake VMs in 200ms with Light Sleep, eBPF, and Snapshots

Aug 28, 2025 By Paweł Bęza, Alisdair Broshar, Jen Person In Koyeb
At Koyeb, we run a serverless platform for deploying production-grade applications on high-performance infrastructure—GPUs, CPUs, and accelerators. You push code or containers; we handle everything from build to global deployment, running workloads in secure, lightweight virtual machines on bare-metal servers around the world.
Read Post
InsightSoftware

Dresner Honors Logi Symphony in Its 2025 Wisdom of the Crowds Study

Aug 28, 2025 By InsightSoftware In InsightSoftware
The Wisdom of Crowds Business Intelligence Market Study from Dresner Advisory Services is one of the most recognized annual benchmarks for BI and analytics. It captures how organizations are investing, what priorities they set, and which technologies are delivering the most value. The 2025 edition highlights steady growth in BI spending and shifts in user objectives, from efficiency and revenue impact to security and data quality.
Read Post
InsightSoftware

Why Write Back Is No Longer Optional: The Future of Business Intelligence Analytics

Aug 28, 2025 By InsightSoftware In InsightSoftware
Picture this: As you’re analyzing sales data in Qlik or in Power BI, you spot an obvious error in a customer name and think “I wish I could just fix this right here instead of sending another email to IT.” If this sounds familiar, you’re not alone. The good news is that the business intelligence (BI) world is finally listening. Gone are the days when BI platforms were solely for consuming and analyzing historical data.
Read Post
appian

Unlock the ROI of AI by Embedding It In Your Core Processes

Aug 28, 2025 By Victoria Ebel In Appian
A new MIT study reveals 95% of gen AI pilots fail. But that’s not an AI problem. It’s an implementation problem. The real issue is the messy, fragmented way AI is used. Too many organizations treat AI as a helper on the sidelines—chatbots, copilots, and assistants that wait to be called upon. While helpful, this approach barely scratches the surface of what’s possible. Real transformation happens when AI is embedded directly into the core operations of your enterprise.
Read Post

Copyright © 2026 OpsMatters™. All rights reserved.