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The latest News and Information on API Development, Management, Monitoring, and related technologies.

How to apply Playwright test steps with TypeScript decorators

You can write Playwright end-to-end testing code using JavaScript or TypeScript. Which one should you choose? When I started writing my first automated browser tests, I went with JavaScript because I couldn't be bothered with the type wrangling. I just wanted to get something off the ground quickly. YOLO, right? Today, though, there are two reasons why I last wrote a JavaScript-first Playwright test a very long time ago.

5 Strategies for Decreasing API Latency and Improving App Performance

Application performance can make the difference between retaining or losing customers, with delays beyond a few seconds leading to dropped conversions. Performance testing and monitoring are vital for improving the overall user experience, achieving a competitive advantage, enhancing resource efficiency, enabling scalability, and reducing costs.

Elevating Developer Productivity with Speedscale Ephemeral Environments

Speedscale leveraged Ephemeral / Preview Environments to help balance developer productivity and high-quality code by dynamically spinning mini-staging environments up and down on command for experimentation and deployment safety. The primary goals of the project were to reduce cloud infrastructure operating costs and increase deployment frequency. Benefits included speed, resource efficiency, and improved collaboration.

Apply Playwright test steps with TypeScript decorators

Join Stefan Judis as he explores the concept of decorators in Playwright TypeScript code. Learn how decorators can streamline your coding process, improve test readability, and save you time. In this tutorial, Stefan will demonstrate how to implement decorators within Playwright page object models, starting from scratch. He provides practical examples and insights into decorators, a feature not yet standard in JavaScript but available in TypeScript.

Optimizing DevOps with Kubernetes Ephemeral Environments: Efficient Testing and Deployment

Ephemeral environments transform software development by providing temporary, isolated spaces for testing and deploying microservices without affecting production. Given its robust orchestration capabilities, Kubernetes excels at creating these temporary environments, allowing teams to efficiently manage and scale containerized applications. By integrating tools like Helm and Kustomize, developers can maintain a codified version of their app and its dependencies.

Software Deployment Best Practices for Modern Engineering Teams

Adopting best practices for software deployment is essential to maintaining a high standard of quality, minimizing downtime, and ensuring that your applications meet user expectations. Here are five best practices to help you deploy your software more securely and reliably.

Make Your End-to-end Tests More Stable with Playwright's User-first Selectors

When testing and monitoring websites end to end with Playwright, choosing the right locators is crucial. Proper locators help create tests that are less flaky and more reliable. Let's explore user-first locators and how to filter locators for more robust tests.

Join Ken on SMC Journal - Scaling Kubernetes, Microservices, and Ephemeral Environments

Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

From Basic Monitoring to Modern Observability: Shifting Right and Observability as Code

I've been in the observability market long before it even had that name. Over the years, observability has undergone a significant transformation. As someone who has witnessed these changes firsthand, I can attest to the dynamic nature of this field. In the early days, it was largely about basic monitoring: tracking system metrics, lots of logs, and simple alerts.