Smart Replace of Server Responses
In this video, we'll show off how to use the smart_replace_recorded transform to record a response from a server and use it in subsequent responses. This is handy for making your mock servers more realistic.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
From Chaos to Control: Use a CLI to Mock Complex API Workflows
Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.
Troubleshooting Microservices with AI
Ever found yourself saying, "But it works on my machine!" when a bug pops up in a microservices environment? It's a common and frustrating problem. Unlike a monolithic application, microservices are a collection of independently deployed services that communicate with each other. This complexity makes it difficult to reproduce real-world issues on your local machine, as you may not have all the necessary services and dependencies running. But what if you could take a snapshot of a running application's behavior and bring it home for debugging?
Looking Back, Looking Ahead: Thoughts on My First Year at Speedscale
When I started at Speedscale, I looked like this: And after one year of learning, growing, and keeping pace with innovation well, let’s just say the journey has left its mark: Of course, I’m joking (sort of). The truth is, this past year has been intense, energizing, and filled with new challenges. If anything, it’s made me feel younger in spirit, even if the mirror might disagree some mornings.
DevOps Future | Automate Everything with Modern AI #shorts
The future of DevOps isn’t about wiring tools together. Rod Cope, CTO at Perforce Software, shares how modern AI and MCP are reshaping DevOps from on-demand pipelines to automatic compliance, monitoring, and cost control.
Simulating Multi-Agent Workflows to Find Hidden API Vulnerabilities
API gateways are often viewed as the centralized entry point for client HTTP requests in a distributed system. They act as intermediaries between clients and backend services, managing API request routing, load balancing, rate limiting, access control, and traffic shaping across multiple backend services. This API management is vital for many services and products, but many organizations can put too much stock in it.
Configuring Data Loss Prevention
Redacting PII (DLP): Speedscale can be configured to redact personally identifiable (PII) or other sensitive information (PII) from traffic via it's data loss prevention (DLP) features. This redaction happens before data leaves your network, preventing the Speedscale service from seeing the data at all. However, the overall shape or structure of the data is retained in order to facilitate useful testing against systems.
Finding the Ghost in the Machine
The industry is rapidly moving towards deeper AI integration than ever before. What was once simply focused on chatbots or recommendation engines has pivoted significantly to AI systems communicating with other AI systems. These AI tools are leveraging multi-agent workflows to accomplish complex tasks that traditional systems have struggled with. Innovation without validation is a liability. Any developer worth their salt will know that these systems require ample testability and validation.
Mastering Kubernetes Testing with Traffic Replay
Kubernetes has become the backbone of many modern application deployment pipelines, and for good reason as a container orchestration platform, Kubernetes automates the scaling, deployment, and management of workloads, allowing developers to make their applications easier to manage and deploy at scale without worrying about their service’s dependencies, their user’s operating system, or the intricacies of their data center or infrastructure provider.
Platform Engineering is DEAD! Long Live Platform Engineers!
At least, the old version of it, the painstaking, build-it-all-yourself, duct-tape-and-dashboards era. If you’ve been around long enough, you’ve seen this movie before. Remember when system engineers were the backbone of IT? Then AWS came along, and in a matter of years, many system engineers evolved into cloud engineers, shifting from racking servers to designing scalable cloud architectures. The role didn’t disappear. It transformed.