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Latest Posts

Feature Spotlight: Centralized Log Collection

Speedscale is proud to announce its Centralized Log Collection capability. When diagnosing the source of problems in your API, more information is better. For most engineers, the diagnosis process usually starts with the application logs. Unfortunately, logs are usually either discarded or stored in Observability systems that engineers don’t have direct access to. Compounding this issue is that the log information is typically not correlated to what calls were made against the API.

A Developer's Guide to Continuous Performance Testing

One of the most important phrases of DevOps practices is “Test early, test often.” It’s crucial to perform functional testing early with unit tests and integration tests. But it’s equally important to perform non-functional testing. That means you should have performance tests. As markets become more saturated with each passing day, you no longer have the luxury to postpone performance testing until all features are developed.

gRPC Observability and Testing using the Speedscale CLI

gRPC is a remote procedure call framework that has been widely adopted among cloud native applications. It is an attractive choice for engineers needing more capabilities than what REST APIs provide. However, observability and testing tools for gRPC are few and far between. Because of this, triaging or understanding application behavior is potentially time-consuming and overly burdensome.

The Role of Volume Tests in Software Testing

Modern-day applications aim to cover a wide range of users’ needs in a flexible and scalable manner. The software development landscape is moving at a fast pace, and the competition is so fierce that a business simply can’t afford to offer a low-quality product. Thorough testing of both functional and non-functional aspects of a software application has become an essential step in the software development process. It ensures that users get the best version of your product.

Sponsored Post

Speedscale Launches CLI: Free API Observability Tool

We are excited to announce the launch of Speedscale CLI, a free observability tool that inspects, detects and maps API calls on local applications or containers. The offering underscores the importance of continued and proactive API testing to quickly detect and debug defects within a shifting array of upstream and downstream interdependencies.

REST API Observability for Python

In this blog post we’ll help answer the age old question, “What does this service talk to and what does it say?” We’ll see how to inspect inbound and outbound REST API calls to see what calls are being made and what incoming traffic causes a reaction. This can be pretty handy when you’re taking over maintenance of an existing service, or if your code just isn’t behaving the way you expect.

Sponsored Post

Service Mocks: Scaling a SaaS Demo with Traffic Replay

Building, running and scaling SaaS demo systems that run around the clock is a big engineering challenge. Through the power of traffic replay, we scaled our demos in a huge way. A few weeks ago we launched a new demo sandbox. This is actually a second generation version of our existing demo system that I built a few months ago (codename: decoy). Because the traffic viewer page shows the most recent data by default, you need to constantly be pumping new data in there. Any type of real-time SaaS system is going to have a similar requirement. So this needs to be planned.

Play with the Speedscale - no registration required

For the first time, Kubernetes engineering teams interested in learning more about Speedscale will be able to play with the framework without registering, at play.speedscale.com. Engineers can see firsthand how you: While users won’t be able to actively watch replays run, there are a variety of pre-created traffic snapshots, reports and configs to browse. Engineers will be able to experience the ease with which snapshots are generated for fast, scalable test automation.