Contributed Content
Why Software Migrations Fail: It’s Not the Code
The future of software migration lies not just in AI and automation, but in embracing the human elements that make these transitions sustainable ...
Harnessing AI and Automation for the Future of Innovation in DevOps
In today's fast-paced technological landscape, the transformative power of AI and automation is more evident than ever. As startups drive economic development with innovative ideas and relentless hard work, understanding and leveraging ...
The Self-Driving Help Desk: Agentic AI’s Role in the Next DevOps Era
Agentic AI introduces a paradigm shift — one where automation becomes intelligent, collaborative and proactive ...
How Agile Methodologies and DevOps Practices Shape Custom Software Product Development
Combine Agile sprints with DevOps pipelines to close the feedback loop, reduce time to market and improve delivery outcomes. ...
DataOps and Automation: The Future of Database Management
Database bottlenecks undermine deployment velocity across businesses. Complex operational tasks introduce delays and outages that directly impact time-to-market. While DevOps has transformed application delivery, database management remains manual and error-prone, reinforcing the ...
Explanation First, Then Code Conversion: A Practical Guide to Mainframe Optimization
Before you even think about code conversion, take a closer look at what you have—and let generative AI (GenAI) help you explain it. Here’s how to modernize your mainframe smarter, not just ...
How Far Are We From Truly Sustainable DevOps
The hidden carbon cost of everyday DevOps activities and ask whether the raft of tools, practices and policies being introduced are enough to bend the emissions curve towards sustainability ...
App Migration: How to Build a Winning Risk Management Plan
Highlighting the common risks associated with app migration and specifying steps for building an efficient risk management plan. ...
AI-Driven Drift Detection in AWS: Terraform Meets Intelligence
Configuration drift, the divergence of deployed infrastructure from its source-defined configuration, has emerged as a critical vulnerability, particularly within the complex AWS environments I've managed, orchestrated by infrastructure as code (IaC) tools ...
Technical Leadership in Modern Software Infrastructure: Architecting for Performance and Scale
technical leadership is what transforms an average system into an exceptional one. It’s what transforms scattered efforts into a cohesive strategy ...
Why DevSecOps Isn’t a Thing Yet
One of the biggest obstacles to DevSecOps adoption is the cultural gap between development, security, and operations teams ...
The Future of AI-Augmented Infrastructure: Letting AI Handle the Terraform Tax
It starts in the pull request, where infrastructure decisions are made and the next generation of intelligent tooling has the most impact. ...

