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.
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.
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.
CloudBees Adds MCP Server to Unify Platform for Integrating DevOps Workflows
CloudBees today began providing early access Model Context Protocol Server to its Unify platform for centrally managing DevOps workflows across multiple types of continuous integration/continuous delivery (CI/CD) platforms.
Merging Business Logic and DevOps
Bridging the gap between DevOps and business logic means product and application owners should map out business outcomes and then embed them in DevOps pipelines.
How to Embed Security Into Enterprise DevOps Pipelines
DevOps without security is just speed with risk. Now is the time to shift left, automate smart and build security into everything.
Five Great DevOps Job Opportunities
Our highlighted DevOps job postings this week include opportunities at Handshake, Publix and Community Options Inc.
Gearset Extends Reach of DevOps Platform for Salesforce Applications
Gearset has extended the scope of the observability of Salesforce applications it provides to include software developed using low-code Flex and object-oriented Apex programming tools.
Smooth the Path to AI Agent Adoption for Software Engineers
To encourage effective AI use among developers and smooth the path to adoption, enterprises must define clear use cases for AI agents.
Shift Left Alone is No Longer Enough, Runtime Context is Key
For a long time, security teams have been told that shifting left is the key to securing their apps and systems. And until recently, this was (mostly) sufficient. As long as security experts were included early enough in the development process, it worked to ensure that security awareness starts at the development and even design […]
Telemetry-Driven DevOps: Using Data to Drive Product and Platform Decisions
Whether you’re launching a new product, modernizing a legacy platform, or scaling your DevOps practice, start with telemetry.
5 FinOps Strategies Every DevOps Team Should Adopt
If cloud costs feel unpredictable, tools can help teams take control, shifting FinOps from a reactive process to a proactive strategy that eliminates guesswork.
Navigating the Complexity of Hard Choices in Software Development
Although having options gives developers more ways to solve specific project requirements, an excessive number of choices can be overwhelming, leading to indecision, procrastination, suboptimal selections or even complete inaction.
JFrog Extends Alliance With NVIDIA to Secure AI Software Supply Chain
JFrog and NVIDIA today announced they have expanded the integrations between their software development platforms to now include the Enterprise AI Factory, a set of frameworks and blueprints for building artificial intelligence (AI) applications. As a result, software artifacts created using the NVIDIA Enterprise AI Factory can be housed in the JFrog Software Supply Chain […]
The Future of Application Development in the AI Era
The AI skills gap is widening, and today’s developers are expected to keep up. AI, used in conjunction with a powerful enterprise-grade low-code platform, holds significant potential to help bridge this gap when harnessed accessibly for smarter, faster development.
Accelerating DevOps Pipelines With AI-Native Testing
An in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster.
Zencoder Adds AI Agent to Test Code to Portfolio
Zencoder today made available a public beta of an artificial intelligence (AI) agent that extends its platform for writing code into the realm of application testing. Company CEO Andrew Filev said Zentester in addition to making it simple for application developers to test their own code, will augment DevOps teams by making it possible to […]
FinOps and DevOps: Changing Soft Language to Hard Risks
Analysts project the global cloud FinOps market to grow from $13.5 billion in 2024 to $23.3 billion by 2029, demonstrating an 11.4% compounded annual growth rate (CAGR). This surge underscores FinOps’ mainstream adoption and integration with DevOps for financial management. To fully realize its potential, a significant shift in risk interpretation within FinOps is essential. […]