AI assisted cyberattacks against cloud infrastructure is a fast growing threat. Integrating CST within DevSecOps serves as a crucial weapon for organizations.
As most application releases depend on cloud infrastructure, it is crucial to have good CI/CD pipelines and end-to-end observability to ensure highly available systems.
Explore the world of logging and monitoring in a Docker Swarm environment, including best practices, tools, and strategies to keep your cluster running smoothly.
This guide will walk you through setting up a basic CI/CD pipeline using GitHub Actions, a popular CI/CD tool that integrates seamlessly with GitHub repositories.
Continuing in this series examining the common pitfalls of cloud-native observability, take a look at how it's easy to get lost in the protocol jungle.
Delves into the world of code graphs, exploring key aspects, and uncovering how these visual representations empower software testers in multiple ways.
This article explores integrating feature flags into React apps using IBM App Configuration, facilitating controlled and personalized user experiences.
Remove Toil in roles and responsibilities and drive toward next-gen development lifecycles using DevOps pipelines and integrating with existing observability platforms.
The cloud app development process brings a lot of convenience to modern businesses. It helps manage storage and performance issues to improve the end-user experience.
Explore the transformative effects of AI on software testing. From enhancing test automation to improving defect detection. Read how AI-driven testing works.
Explore the importance of logging and monitoring in GCP, various options and best practices for logging and monitoring, and popular GCP services and tools.
Enacting visibility, input, and accountability for both the development and operations teams ensures secure SSCs and provides an opportunity to strengthen DevOps culture.
Maximize software development feedback with continuous testing, incorporating multiple loops and Deming's philosophy. Enhance code quality and security.
Identify and explore some basic trends in the software industry, like how some well-known organizations implement and benefit from early and continuous testing.
LLM evaluation is constantly changing as the models improve; LLMs don't have simple right/wrong answers, making results subjective, so testing methods need to adapt.