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.
Google Adds Gemini CLI to AI Coding Portfolio
The beauty of Gemini CLI lies in its approach to solving a common developer pain point: The constant context switching between development environments and AI assistance.
Five Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
“DevOps is Dead? Long Live DevOps-Powered Platforms”
If PlatformCon NYC proved anything, it’s that the DevOps ethos of collaboration, automation and continuous improvement now has a bigger, better stage.
Spacelift Adds On-Premises Edition of Infrastructure Management Platform
Spacelift has made available an on-premises edition of a platform for automating the provisioning and management of IT infrastructure that previously was only accessible via a software-as-a-service application. Company CEO Pawel Hytry said the on-premises edition of the platform satisfies both the requirements of highly regulated industries and the emergence of sovereign cloud requirements that […]
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 friction DevOps aims to eliminate. An alternative is to extend the proven DevOps practices into database operations through a DataOps approach. By treating […]
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 faster. The Real Challenge: Understanding Decades-Old Practices and Code If you’ve worked with mainframes for any length of time, you’ve seen it before: […]
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.
Secure Code Warrior Defines Security Rules for AI Coding
Secure Code Warrior has made available a set of security rules for application developers using artificial intelligence (AI) tools to generate code. Company CTO Matias Madou said the AI Security Rules made available on GitHub are intended to encourage developers to review code generated by AI for security issues that these tools may inadvertently introduce. […]
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 like Terraform.
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.
Breaking Through – Beating Mainframe Delivery Bottlenecks
The mainframe powers large – and vital – elements of the global economy. Mainframe DevOps and new innovations offer the potential for delivering greater value, faster. Yet market data suggests significant challenges in achieving it. What can be done to beat the bottlenecks in mainframe delivery? The Mainframe: Powering the Future of Enterprise Computing The […]
Report Shows Overinflated Opinion of Infrastructure Automation Excellence
Leaders have shown that it is possible to deliver at the speed of innovation without sacrificing control, success and a blueprint to follow.
AI’s Impact on Secure DevOps and the Future of Secure Software Development
Let’s explore how AI is reshaping secure DevOps, and what this means for the future of software development.
Chronosphere Streamlines Management of Log Data to Reduce Costs
Chronosphere today added additional capabilities to its log management platform that enable DevOps teams to both reduce costs and surface more actionable insights. Alok Bhide, head of product innovation for Chronosphere, said Chronosphere Logs 2.0 provides DevOps teams with more granular control over how log data is collected and stored. The overall goal is to […]
Five Great DevOps Job Opportunities
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of […]
Compliance in the Age of AI: Why Strong CI/CD Foundations Matter
A strong CI/CD foundation is key to ensuring you can reap the benefits of AI and create high-quality user experiences at breakneck speed.
AWS Extends MCP Support in Amazon Q Developer to Multiple IDEs
Amazon Web Services (AWS) has added support for the Model Context Protocol (MCP) with the Visual Studio Code and JetBrains plugins that are provided for Amazon Q Developer, a set of artificial intelligence (AI) agents that automate a range of software development tasks.
Why AI-based Code Generation Falls Short
The usage of AI in the software development life cycle of any project will facilitate faster workflows, thereby enabling your software developers to focus on creative and complex tasks instead of spending time on mundane tasks.
The Top 5 AI Trends for Developers
The emergence of AI offers developers the ability to expand and improve their application of Generative AI.