Systems | Development | Analytics | API | Testing

Eliminating Flaky Tests with Traffic Replay

There are few things that can derail developer productivity and undermine your pipeline like a flaky test. Testing is the backbone of a good development process, ensuring that your code is as accurate and usable as possible. When these tests point towards faulty development, the impacts can be significant. This information is predicated on an assumption, however – the assumption that what the test says is accurate.

REST v. GraphQL v. gRPC #speedscale #developers #softwaredevelopment #shorts #softwaretesting #api

When it comes to building APIs and enabling communication between different software components, three prominent architectural styles and frameworks often come up: REST, GraphQL, and gRPC. Each has its own approach, strengths, and weaknesses, making them suitable for different use cases.

Easy Cross-Platform cgo Builds

When I first started writing Go software a little over a decade ago, one of the features I found particularly intriguing was the ability to build statically-linked binaries for multiple operating systems and architectures without a lot of headache. This build toolchain feature is widely relied upon by nearly all Go developers, especially when needing to build multi-arch container images destined to be run in a Kubernetes cluster consisting of amd64 and/or arm64 nodes.

Top 5 DevOps testing services & key factors to consider

When evaluating a DevOps testing service, software teams should ask the following questions — it can mean the difference between quickly shipping high-quality code and bottlenecking releases, or having bugs slip into production: In this article, we review five top DevOps testing services, starting with our own, Rainforest QA. We show how we help teams ship high-quality code without constant bottlenecks dragging down the release pipeline.

Unlock Cheaper & Faster AI Testing: Mocking Claude and MCP

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.

Instant API updates with Kong Insomnia | Platform engineering demo

Tired of slow, manual config changes in your internal platform? In this quick demo, we show how to instantly deploy and update your API configurations using Kong Gateway, Kong Konnect, and Insomnia. It’s declarative, Git-based, and built for platform engineers who want governance without the bottlenecks. What you'll see:How to manage APIs with declarative config Using Git workflows to push updates to the cloud Real-time deployment via Kong and Insomnia A clean, self-service experience for platform teams.

Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers

Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!

Test Locally & Improve Your CI with Proxy Mock #speedscale #testing #developers #cimocking #mocks

Tired of costly cloud environments and unpredictable CI tests? Discover Proxy Mock, the free tool that lets you record your app's traffic locally and automatically generate mock services for realistic, reliable testing!