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Generative AI can provide valuable analysis and insights to IT operators. But what about data security, reliability, workflow integration, and the conditions needed for successful deployment?
Static code analysis offers extensive insights into code that can help you improve code quality and security, the speed of development, and even team collaboration and planning. Here’s everything you need to know.
As more CIOs and devops teams embrace generative AI, QA teams must also adapt their continuous testing practices to keep up.
Should budget go to innovations or fixing existing systems so they don’t bankrupt you? The future of your business may ride on the answer.
Qodana integrates into CI/CD pipelines and with JetBrains IDEs and uses static code analysis to flag code quality, security, and performance issues.
DevSecOps system validates incoming software packages against JFrog’s security research library to establish a repository of trustworthy components for software developers to use.
Enabling SaaS users to perform admin tasks themselves using self-service portals or APIs not only reduces the stress on IT admins, but also improves the productivity and satisfaction of workers.
Azure Monitor managed service for Prometheus smooths the way to multi-cluster monitoring across Azure Kubernetes Service, Azure Arc-hosted Kubernetes, and on-prem Kubernetes deployments.
Service hosted and managed by GitLab is geared to users with strict compliance requirements such as isolation, data residency, and private networking.
Now 10 years old, the open source passion project that made observability open and composable continues to simplify life for developers.