Systems | Development | Analytics | API | Testing

What Is Baseline Testing? Meaning, Examples & Use Cases

Every software change answers one simple question: Did something break? Baseline testing exists to answer it with confidence. Teams often ship regressions simply because they lack a reliable reference to compare against. In modern software testing, a baseline provides that reference point and helps teams understand change without slowing down delivery.

10 Surprisingly Powerful Projects You Can Run on a Raspberry Pi (2025-2026)

From smart home automation to self-hosted API backends, discover what the humble Raspberry Pi can really do as we head into 2026. As we close out 2025 and look ahead to 2026, the Raspberry Pi continues to punch well above its weight class. What started as an educational tool has evolved into a legitimate platform for home servers, IoT hubs, development environments, and even production-grade API backends.

Why gRPC is a Debugging Nightmare #speedscale #observability #grpc #testing #devops

gRPC is fast and efficient - until it breaks at 2:00 AM. Traditional observability tools are built for HTTP/1.1 and JSON. When you switch to gRPC, you’re dealing with binary Protobuf payloads and HTTP/2 multiplexing that most logs and traces simply weren't designed to handle. Speedscale flips the switch by decoding Protobuf directly into human-readable JSON in real-time. Get the speed of gRPC with the visibility of REST.

REST API Principles | A Comprehensive Overview

REST APIs are the basis of all interactions between different applications. Many companies and organizations today offer APIs to interact with their applications. REST APIs allow third-party application developers to perform operations such as transmitting or accessing data from one application to another. This is called a public API. This means that this API is intended for interaction with third-party apps.

Stateful Vs Stateless: A Developer'S Real-World Guide (2026)

Why do some bugs only appear after deployment, even when tests pass locally? Early in my backend work, I kept hearing discussions around stateful vs stateless. It felt academic at first, but once I started dealing with scaling issues, flaky tests, and production bugs, I saw how much this decision actually matters. This article is based on how I’ve seen these architectures behave in real systems, not just diagrams.

Why Instant, Secured REST APIs are the Backbone of Manufacturing Process Optimization in 2026 | DreamFactory

In the industrial landscape of 2026, data is no longer just a byproduct of production—it is the primary driver of operational efficiency. However, a significant gap remains: the Integration Gap. While factories are teeming with sensors, ERPs, and PLCs, the ability to deliver that data to real-time applications remains a manual, slow, and often insecure process.

DLP: The Key to Secure K8s Testing #speedscale #dlp #kubernetes #devops #testing

Testing with production traffic doesn't have to be a security risk. Engineers often avoid production data because of sensitive info like passwords, tokens, and PII. But legacy test data management is too static for modern, fast-changing payloads. Enter the Speedscale Streaming DLP Engine. It automatically detects and redacts sensitive data in real time as it's captured from your environment. You get the realism of production traffic without the risk of a data breach.