Discover how Lighthouse test automation enhances CI/CD pipelines with automated quality checks, performance monitoring, and Google Lighthouse integration.
Big data isn’t dead; it’s just going incremental. But bad things happen when uncontrolled changes collide with incremental jobs. Reacting to changes is a losing strategy.
Learn to set up GitLab CI/CD pipelines for Kubernetes. Automate deployments, manage secrets and use Helm for efficient, scalable application management.
Online issues can be highly complex, requiring the capture of key information for a clear understanding. Through logical reasoning, the root cause was pinpointed.
This article guides you through setting up a GraphQL server, defining schemas, and integrating with React, highlighting benefits and potential challenges.
Understanding promises — from creation, chaining, and error handling to advanced features — empowers developers to write cleaner and more maintainable asynchronous code.
The three data storage options and their pros and cons: the legacy data warehouse, the more recent data lake, and contemporary data lakehouse architectures.
You will learn how to run PostgreSQL in a Docker container with a portable, isolated, and resource-efficient database setup that is easy to manage and scalable.
Effectively handle errors in a Spring Boot microservices application with custom exceptions, ensuring meaningful error responses and seamless integration.
Learn about Apache Iceberg catalogs, their types, configurations, and the best-fit solutions for managing metadata and large datasets in different environments.
Learn how Docker and Cucumber streamline automation testing by enabling parallel execution, reducing costs, and improving reliability in a simple setup.
In this article, you'll learn how to build a receipt scanner app using OCR for text extraction, OpenAI for processing, and PostgreSQL for efficient data storage.
KubeVirt lets Kubernetes manage VMs with containers, streamlining infrastructure. It supports legacy apps, cuts costs, enhances flexibility, and is easy to deploy.
With psychological factors helping explain why humans struggle with Agile, interdisciplinary expertise can help save us from future software disasters.
If you want to give your creativity and innovation idea a shot, go with Deno. But if you want old-school experience with stability, I suggest you stick with Node.js.
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