DevOps and Open Technologies
Machine Learning in Predictive Testing for DevOps Environments
The integration of AI and ML in testing is a fundamental shift in how we approach software quality and reliability in DevOps environments ...
Leveraging eBPF for DevSecOps
The applications for enhancing security observability with eBPF are vast, and it's increasingly valuable for DevSecOps use cases ...
What’s Driving Changes in Open Source Licensing?
Years of SaaS innovation and disruption threaten the profitability of vendor-driven open source projects, forcing licensing changes ...
Permiso Makes Open Source Tool to Identify Cloud Threats Available
Permiso today launched an open source tool dubbed CloudGrappler that surfaces indicators of compromise in cloud computing environments ...
Database Observability Extends DORA Metrics and More to Database DevOps
Database observability unlocks DORA metrics along with other indicators that matter to your DevOps, application, database and IT teams ...
7 API Observability Anti-Patterns to Avoid
Here are seven API observability anti-patterns and pitfalls to avoid to your APIs observable and your users happy ...
Techstrong Research PulseMeter: Caching Transforms Application Performance
The Techstrong Research PulseMeter report underscores the critical role of database caching in supporting real-time applications and digital experience delivery ...
Driving the DevOps Evolution: ArgoCD, Tekton and Seamless Migrations
The evolution of CI/CD frameworks reflects the DevOps industry's dynamic nature and the demand for efficient software delivery pipelines ...
Navigating the Rise of AI-Generated Code in Software Development
The year 2023 saw the rise of many technologies and innovations, but none quite as prominent as generative AI. Trained on vast amounts of data, these models are designed to “generate” the ...
3 Quick Fixes for Event-Driven Architecture (EDA) Complexity
EDA and the adoption of event streaming throughout enterprises are essential architectural requirements, but can introduce complexity. Here are three quick fixes ...
6 Transformative Mainframe Predictions for 2024
The success of organizations in today’s digital economy demands speed — the ability to quickly respond to market trends with new applications and services, instant access to critical data, and resolution of ...
Software Development in the Age of AI: How to Balance Quality and Speed
There’s no mistaking the reality of AI’s influence. Across industries, businesses are calling on tech workers to make the most of this transformative technology as demand skyrockets and companies race to overcome ...