This post discovers where Platform Engineering fits into your broader software delivery process and how it can help your organization attain high performance.
We can't prevent the bad code from the deployment. We lack database observability, and we can't troubleshoot automatically. We need a new approach: database guardrails.
Explore Trino's distributed SQL query capabilities and harness DbVisualizer's intuitive interface for data exploration, visualization, and optimization.
Discover the ultimate showdown between AWS Lambda and Fargate. Uncover the pros and cons of each cloud giant to make an informed decision for your specific needs.
Traditional software testing has been a thorn in developers' sides. It demands significant time, resources, and investment. But new advances in AI are shaking things up.
In this article, we delve into the key metrics that enable us to gauge the effectiveness of automation and understand its transformative impact on quality assurance.
Refactoring the default SwiftData + SwiftUI project example. Removing SwiftData from SwiftUI and replacing Environment with a vanilla Dependency Injection.
Model-based testing (MBT) is becoming more popular with high-performing teams as an approach to deliver the outcomes that the business demands from testing teams.
Flaky tests can cause confusion for developers by producing inconsistent results, making it difficult to determine if a failure is due to a bug or a flaky test.
Create a CI/CD Pipeline with Jenkins, Containers, and Amazon ECS that deploys your application and overcomes the limitations of the traditional software delivery model.
This article presents a discussion on the best strategies and practices that should be adopted when developing and deploying applications for the cloud.