There are several ways to handle load spikes on a service. However, these methods are not cost-effective: you either pay for resources you don't use, or you risk not having enough resources to handle the load. Fortunately, there is a third way: horizontal autoscaling. Horizontal autoscaling is the process of dynamically adjusting the number of instances of a service based on the current load. This way, you only pay for the resources you use, and you can handle load spikes without any manual intervention.

Explore best practices and essential tools for visibility with Kubernetes infrastructure and traffic to optimize your system's performance and security.

Learn the biggest obstacles with load test automation, and how existing user traffic holds the key to scaling eCommerce software safely, and fast.

Outsourced engineering teams are gaining in popularity and many investors have started to treat them as a requirement.

Figuring out what APIs are doing in Kubernetes can be difficult. Read the pros and cons of WireShark, Kubeshark and Speedscale and when to use which.

Is your startup operating with no QA team and trying to figure out your options for improving software quality? Perhaps you’re proactively thinking about your QA process before quality becomes a problem. Our maybe quality issues have forced you to finally address your QA process (or lack thereof). Either way, end-to-end (e2e) automated software testing is always part of the answer.

This series explores and compares the Jenkinsfile and Bitrise YAML, the scripting languages for Jenkins and Bitrise CI/CD pipelines, focusing on their unique approaches to automation in app development, starting with mobile.