It's impossible to learn about containerization without hearing about Docker and Kubernetes. These two tools together dominate the world of containers, both being the de-facto standard in what they each do. When you're first getting started learning about containers, it can be quite a challenge to figure out what the differences are between these two tools.

In this article, you will learn about some of the tools to test microservices running in a Kubernetes cluster. In particular, we will compare the Speedscale CLI tool with other tools and the main benefits of using Speedscale CLI. In the last few years, software companies have been shifting from building monolith applications to utilizing smaller microservices. In a microservices architecture, you operate with decentralized applications. This means that there's a separation in which each service is responsible for a specific component of your application.

In this blog post we use podtato-head to demonstrate how to load test kubernetes microservices and how Speedscale can help understand the relationships between them. No, that's not a typo, podtato-head is an example microservices app from the CNCF Technical Advisory Group for Application Delivery, along with instructions on how to deploy it in numerous different ways. There are more than 10 delivery examples, you will surely learn something by going through the project. We liked it so much we forked the repo to contribute our improvements.

Developing reliable code depends on thorough testing, but with teams under increasing pressure to create and deliver code faster, testing is sometimes seen as essential but can slow down processes. Plus, within testing, the biggest bottleneck of all has been obtaining test data. Testers report that they spend 60% of their time waiting or searching for test data. The good news is that with the next generation of test data solutions, teams do not need to trade test agility for code quality.

In this article, you'll learn about the best Kubernetes performance monitoring tools that are currently on the market. Although there are a number of application performance monitoring solutions out there, this article covers the best options in terms of their key features, functionalities, ease of setup, and the support garnered from each of their respective communities.

It's not for nothing that Kubernetes is a popular choice for running a cloud workload. It can be a powerful tool for orchestrating your applications. However, one thing that can often be a last thought in a production workflow, or maybe forgotten altogether, is load testing. It might be tempting to think that Kubernetes can handle it all. In many cases it can, but it's always smart to know how much your application can take. After reading this article, you'll be equipped to determine which tools would best serve you for load testing your application.

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.

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.