Operations | Monitoring | ITSM | DevOps | Cloud

August 2022

High Scale Postman Load Testing for Kubernetes

In this Postman load testing tutorial, you’ll learn how to run a large scale load test in Kubernetes using your existing Postman collections. Because HTTP services don’t have a graphical user interface, it’s common to build collections of requests using Postman during the development process. These collections are useful for running quick functionality tests as you develop each endpoint.

Stop Using TCP Health Checks for Kubernetes Applications

As developers, one of the most important things we can consider when designing and building applications is the ability to know if our application is running in an ideal operating condition, or said another way: the ability to know whether or not your application is healthy. This is particularly important when deploying your application to Kubernetes. Kubernetes has the concept of container probes that, when used, can help ensure the health and availability of your application.

Considerations When You Mock APIs Inside of Kubernetes

Today it’s not unusual to see organizations having implemented mocking in their daily workflow, as mock APIs allow developers to speed up their development and not rely on external services. For those reasons and others, many engineers are looking to learn more about the mocked APIs and how they can best be implemented into their organization.

Video: Cloud Native Traffic Replay

With the introduction of new application platforms like Kubernetes, oftentimes the DevOps tooling around it needs to evolve. Cloud Native technology is powerful but complex. This 5 minute demo video shows how Speedscale provides production simulation capabilities so you can check for resiliency, quality and scalability in your Kubernetes clusters. You can record data and traffic in production and replay sanitized traffic on the fly against a new cluster.
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Datadog & Speedscale: Improve Kubernetes App Performance

By combining traffic replay capabilities from Speedscale with observability from Datadog, SRE Teams can deploy with confidence. It makes sense to centralize your monitoring data into as few silos as possible. With this integration, Speedscale will push the results of various traffic replay conditions into Datadog so it can be combined with the other observability data. Being able to preview application performance by simulating production conditions allows better release decisions. Moreover, a baseline to compare production metrics can provide even earlier signals on degradation and scale problems. Speedscale joined the Datadog Marketplace so customers can shift-left the discovery of performance issues.

Setting up a Multi-Architecture Kubernetes Cluster

In the last post we covered the industry shift towards ARM machines for both local and production software engineering. Last time we learned how to create Docker images that would work on multiple architectures for dev machines. Now we want to take this portability and leverage it for cost savings in production. You may be able to transition some of your services into multi-architecture builds.

How to Mock APIs in Kubernetes

Mock APIs in Kubernetes are used to simulate actual API requests. This is useful for detecting issues early in development, improving application performance, speeding up development, performing integration tests, and checking the behavior of new features in a controlled environment. You may be wondering, If using mocks is so advantageous, why do some developers hesitate to use this technique?