Focusing on DevEx through strategic CI/CD optimization can transform the development lifecycle and significantly improve developer productivity ...

The DevOps playbook is rapidly transforming because of recent advancements in artificial intelligence (AI) ...

Enter MLOps for Green AI: A fusion of machine learning operations (MLOps) and sustainable DevOps practices that promise to make AI not just smarter, but greener.  ...

Organizations can leverage DaaS to implement strategies for protecting sensitive data and enforcing compliance with regulatory requirements.  ...

You can move from closed source to open source, or from a more restrictive license to a more open license, whenever you like, and you will receive nothing but applause from the ...

AI agents are helping to shift developers' focus from long hours of manual coding to high-value problem-solving, architecture and decision-making processes.  ...

Code-to-cloud security is considered the future of application security, as it helps lower expenses, prevents data breaches and ensures compliance infringement, thereby protecting an organization’s reputation.  ...

LLMs are reshaping software engineering and boosting productivity, evolving from advanced autocompletes to autonomous collaborators ...

Datadog's App Builder is a game-changer, extending the platform beyond observability to empower users to build custom applications ...

Why DevSecOps is a critical discipline in the AI era, the benefits and challenges of integrating AI into DevSecOps pipelines and why it provides a framework for successfully adopting these emerging technologies.  ...

The future of observability isn’t just about collecting more data; it is about truly understanding what is happening at the most granular level and fixing issues before they cost you your biggest ...

While various AI/ML application risks are like traditional application security risks and can be protected using the same tools and platforms, runtime security for the new models requires new methods of securing ...