Systems | Development | Analytics | API | Testing

The Portfolio Visibility Problem Nobody Notices Until It's Expensive

Most organizations can tell you, in detail, what's happening inside any single project. Ask about five projects at once, and the answer gets vague fast. Not because the information doesn't exist - it does, buried inside five different task boards, timesheets, and status decks - but because nothing sits above the project level to actually connect it.

Automating Trust: How Business Review Management Fits Into the Modern Ops Stack

Most companies still treat reviews as a marketing chore. Someone on the team remembers, sends a batch of emails, watches a few stars roll in, and forgets about it for six weeks. That model is finished. Consumers now expect a reply within days, they discount anything written more than three months ago, and a growing share of them never read your reviews at all because an AI assistant read them first and summarized the themes. None of that can be served by a human remembering to check a dashboard.

Performance Testing Serverless Architectures Guide 2026

Performance testing for serverless is an ongoing process. The most reliable results come from repeated, targeted experiments that reflect real usage. By focusing on cold starts, concurrency, and external dependencies – and by leveraging advanced cloud testing platforms – you can deliver consistent, reliable performance as serverless adoption grows.

Five Ways to Use OpenTelemetry Beyond Observability

OpenTelemetry graduated from the CNCF in May 2026 as, in the foundation’s own words, the de facto observability standard. The JavaScript API package alone did 1.36 billion downloads in twelve months. That kind of win has a side effect nobody plans for. Once a wire format is everywhere, has a receiver for every source, a transform language, and an agent your platform team already operates, people start putting things on it that have nothing to do with knowing whether a service is healthy.

New: Turn your reporting and analysis process into a reusable Skill

Getting work done with AI has never been faster. Give it a clear task, and it can complete in minutes what once took hours. Databox’s AI Analyst is a good example. Ask it to analyze the performance of your team or channels, and it can take the work from your initial question to a finished report in one conversation. The result, though, depends on the instructions you give it.

Test Management in the AI-Driven Era: What QA Teams Should Expect from Their Platform

Ask most QA teams how many tools it takes to manage one release and the list runs long: a repository for test cases, a separate grid for automated runs, a dashboard bolted on for reporting, and now an AI tool for generating or maintaining tests. Each has its own login, its own contract, and its own way of describing the same test case. That fragmentation is why "all-in-one test management platform" became the phrase buyers actually search for.

SAMA's Open Banking Licence is Live. Is Your Platform Ready to Prove It?

On 26 March 2026, the KSA Central Bank moved Open Banking out of its controlled sandbox and into a formal licensing regime, granting its first licences to Neotek and Lean Technologies on the same day. For KSA banks, this was more than a regulatory milestone it marks the moment when “being innovative” is no longer enough. Since March, SAMA has kept licensing new open banking and payment companies. More approvals came through the year, including in the second and third quarters.

The Smarter Safety Net: Modernizing User Acceptance Testing (UAT) with AI

Every engineering leader knows the scenario: sprint tickets are closed, unit coverage shows green across the board, API pipelines pass without a hitch, and the build is tagged "ready for release." Yet, the moment the software reaches actual business users, reality hits. A multi-tier approval workflow breaks on a regional tax calculation. An enterprise customer encounters friction during a custom bulk checkout.

Systematizing Interface Assets Across Distributed Teams

Managing a React component library for five independent product teams reveals a specific type of asset rot. Repositories fill up with disjointed vector files incredibly fast. One squad grabs a thick-lined navigation graphic for their dashboard. Another imports a hyper-detailed two-color asset for a settings panel. Suddenly, your platform interface looks like a patchwork quilt. Users notice these inconsistencies immediately.

What Is Service Virtualization: Definition, Types & Tools (2026)

Service virtualization replaces real external dependencies (APIs, databases, queues, or third-party services) with controlled simulations that respond like the real thing. Tests run against these virtual services whether the real dependency is unavailable, expensive to call, or still being built. Keploy implements this by capturing real dependency interactions from live traffic and replaying them automatically in CI.