Systems | Development | Analytics | API | Testing

After Twitter moved from Ruby to Scala in 2009, the story was born that Ruby on Rails can’t scale. The story goes that it lacks robustness, is a memory hog, and lacks the concurrency features you need to grow an application. This has been the prevailing wisdom for over a decade. And then along came Shopify, showing that, as Lutke says, Ruby on Rails is a framework that can process billions of events per day and evidently does scale. Ruby on Rails is an excellent candidate for scaling.

Docker has revolutionized application deployment, offering flexibility and efficiency through its containerization technology. As Docker environments evolve and grow, managing resources like containers, images, volumes, and networks becomes increasingly challenging. Docker Cleanup addresses this challenge by providing a systematic approach to identify and remove unused or unnecessary resources. In this blog, Let us explore the essential commands and techniques for cleaning up Docker resources effectively.

Organizations are challenged today to become both more data driven and more nimble to adapt quickly to changing conditions. These challenges are the driving forces behind much of their digital transformation or “modernization” efforts.

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

If you'd like to run load tests in a simple way, and possibly share them, while benefiting from a simplified configuration, with a focus on writing your test plan, and its test typology, this article is for you! Docker offers virtualization services that simplify the replication of working environments. Furthermore, each virtualized service is isolated from unrelated services on other containers or the host machine, ensuring portability across host machines and the network.

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.

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.

In this guide, we document the process of building mock APIs in Kubernetes from traffic using Speedscale.