Systems | Development | Analytics | API | Testing

Volume testing is a type of software performance testing that evaluates a system’s capacity to process massive data volumes within a specific timeframe. It identifies bottlenecks, crashes, or inefficiencies under high data loads, ensuring performance, accuracy, and stability.

APIs power everything—from your favorite apps to critical business systems. But what happens when your API is subjected to large or unexpected traffic, security threats, or plunges under load? One weak link can destroy UX, destroy data or take down your service. API testing serves as your safety system beyond being a mandatory requirement. Faster development schedules and increased user demands during 2025 require organizations to make essential testing tool choices.

A data lakehouse is an innovative data architecture that blends the strengths of data lakes and data warehouses into a single, cohesive system. It retains the cost-effectiveness and flexibility of data lakes while incorporating the structured data management and performance optimization capabilities of data warehouses.

Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies artificial intelligence (AI) integrations by providing a secure, consistent way to connect AI agents with external tools and data sources. When we saw MCP’s potential, we immediately started exploring how we could bring real-time data streaming into the mix. With our long history of supporting open source and open standards, building an MCP server was a natural fit.

Notifications muted. Social media logged out. Phone flipped face down. Sounds familiar? Well, in a world buzzing with digital distractions, many of us have tried going off the grid by deactivating apps, turning on airplane mode, or even attempting a full-blown digital detox. But let’s be honest, is that truly sustainable? For years, smartphones have been labeled as the root cause of stress and reduced productivity.

If you’re looking for an alternative to Microsoft App Center, this article will cover the top considerations, and how Sauce Labs handles these in its Mobile App Distribution offering.

The List Index Out of Range error often occurs when working with lists and for loops. You see, in Python, when you attempt to access an element using an index that lies outside the valid index range of the list, you're essentially telling the program to fetch something that isn't there, resulting in this common error. For example, if you have a list with 3 elements: The valid indices for this list are 0, 1, and 2 (since Python uses zero-based indexing).

In 2025, APIs continue to evolve, with gRPC and REST being two dominant architectures. Understanding their differences is crucial for modern software development. If you’re at all familiar with APIs, you know that REST APIs are the main API used, particularly when it comes to microservices and their applications. gRPC is a high-performance, binary, and strongly-typed protocol using HTTP/2, while REST is a simpler, text-based, and stateless protocol using HTTP with JSON/XML.

The latest version of Kong Mesh brings an improved provisioning experience and streamlined management of policies — plus user interface enhancements to elevate your experience deploying and managing Kong Mesh. Built on top of Kuma, Kong Mesh is a service mesh designed to provide security, observability, and traffic control across modern, distributed applications.

Info-Tech has released its 2025 Data Quadrant Report, which recognizes the best in technology solutions. Every year, Info-Tech evaluates top-performing software solutions based on authentic user reviews. Evaluating feedback from 3,433 users, this year’s report turned its focus toward business intelligence (BI) and analytics solutions that drive better decision-making for customers.