JFrog Press Room

Industry veteran brings decades of business acumen and global insight from Amazon Web Services, Cisco, Palo Alto Networks, and Unity

New report reveals multiple disconnects between senior executives and hands-on practitioners globally, amplifying gaps in standardized use of AI/ML, security detection and remediation technologies

La solution de JFrog s’étendra pour fournir des capacités MLOps avancées aux organisations, permettant la création, le déploiement, la gestion et la surveillance des flux de travail d’IA, des GenAI et LLM aux modèles ML classiques, le tout au sein d’une plateforme unifiée.

Suite à la demande commune des clients et de la communauté, JFrog et GitHub développent une feuille de route unifiée pour améliorer les pratiques DevOps, DevSecOps, MLOps et IA.

The JFrog Artifactory Log Streamer Integration with Datadog Flex Offers Maintenance-Free Infrastructure with Readily Accessible Utilization and Performance Insights Across the Software Stack

• Total Revenues of $100.3 million; up 26% Year-over-Year

• Cloud Revenues up 47% in 1Q24; driven by customer usage

• Customers with ARR Greater Than $1 million Reached 40, up 90% Year-over-Year

• Enterprise+ Subscription Revenues Equaled $49 million; up 39% Year-over-Year 

JFrog speakers, alongside keynotes from GitHub and MLOps community leaders, will outline the future of software supply chain (SSC) management in the era of platform engineering, cloud-native, and AI 

New JFrog Artifactory integration provides developers and data scientists with an Open Source Software solution to simplify and securely accelerate ML Model development 

74% with High or Critical CVSS scores weren’t applicable in most common cases, but 60% of security and development teams still spend a quarter of their time remediating vulnerabilities