For more than a decade, the evolution of infrastructure automation has followed a clear trajectory. Organizations have invested in workflows, pipelines, controllers, and compliance engines because the market demanded stronger guarantees around reliability and scale. Outages turned into measurable losses. Small misconfigurations cascaded into systemic failures. Even highly skilled teams struggled to keep pace with […]
White Paper: The Future of DevSecOps in a Fully Autonomous CI/CD Pipeline
Abstract The growing complexity of modern software development and the increasing speed at which organizations need to deliver software have led to the widespread adoption of DevOps practices, particularly continuous integration/continuous deployment (CI/CD) pipelines. These pipelines enable rapid development and deployment cycles; however, they also introduce significant security risks that must be addressed continuously. The […]
Data Pipeline Modernization in 2025 Hinges on Unifying DevOps, DataOps and Database Workflows
Data pipelines are growing exponentially larger and more complex every year, thanks to artificial intelligence (AI)/machine learning (ML) and other data-centric innovations.
Redgate Embraces Machine Learning to Generate Test Data and Monitor Databases
Redgate this week previewed machine learning capabilities that it is adding to its test data management and database monitoring platforms that are scheduled to be made generally available in the first quarter of 2025.
Site Reliability Engineering State of the Union for 2024: Embracing Innovation and Efficiency in the Age of Generative AI
SRE practices are set to undergo significant transformations, driven by technological advancements and changing organizational needs.
Snyk Adds Second ASPM Tool to Portfolio
Today, Snyk made available an edition of its application security posture management (ASPM) tool for assessing application risks that provides more context into how code has been written and its role within the application environment. Manoj Nair, chief product officer for Snyk, said Snyk AppRisk Pro leverages artificial intelligence (AI) and machine learning to provide […]
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.
Will Generative AI Succeed Where AIOps Failed?
Generative AI can go so many places that AIOps could never, and provides a general-purpose approach that can be applied in many different ways.
Platform Engineering is a ‘Golden Path’ to FinOps
CloudBolt’s Kyle Campos believes that, going forward, the cost to run an application will become the ultimate performance metric.
Steady On. We Still Have a Job to Do
AI-generated change is not significantly different than the last couple decades where change has become IT’s constant companion.
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