The JFrog mission to modernise and transform software pipelines is leaping forward with the further development of its successful move towards channel sales and indirect partner strategies.
For instance, JFrog global channels director Elisa Lai, named to CRN’s Channel Chiefs 2025 list, said JFrog expects to grow its channel partner network over the next 12 months.
The “micro-economics” in 2025 would emphasise improving the speed and success rates of partner AI and machine learning (ML) efforts,” Lai told CRN.
“Both will be major challenges, but this also creates opportunities for partners to help customers solve these challenges.”
JFrog is looking to expand into new regions, on-board and enable partners, and collaborate on business development.
Lai hoped this would better meet regional demands, increase market reach, and drive growth with local expertise and demand for devops.
JFrog increased focus on partner programme
Consequently, JFrog seeks to double down on its partner programme transformation.
“I have seen the pains that partners face with the current industry standard of tiering systems. These systems require partners to invest extensively before they see any value, thus rarely creating true partnerships,” Lai said.
“Modernise partner programmes to prioritise flexibility, implement feedback-driven improvements, and provide business value quickly.”
Resources such as solutions engineering, professional services, marketing and support teams were needed, she noted.
JFrog launched its partner programme in Q3 2023 in a shift from direct sales. Since then, it has added 300 or so partners worldwide, Lai said.
As a result, JFrog in the past year increased its share of cloud revenues, part based on “strong enablement” around devsecops.
“Customers are looking for new ways to procure, consume, and maintain software,” Lai said.
“Focus on the ability to build, train, secure, and monitor the proper deployment of ML models into software has created tremendous opportunities.”
Modernise and transform software pipelines
In summary, JFrog offers an automated devops platform and focuses on improving how enterprises manage and release their software updates.
The vendor has just released JFrog ML to drive MLops with secure AI. As part of the JFrog Platform, development teams, data scientists and ML engineers could use this to “quickly develop and deploy enterprise-ready AI applications at scale”.
“JFrog ML is an outcropping of JFrog’s commitment to integrations with Hugging Face, AWS Sagemaker, MLflow – developed by Databricks – and NVIDIA NIM,” JFrog said in an announcement.
“As the demand for AI-powered applications continues to grow rapidly, so do the concerns around the ability to control and manage this new domain on all fronts,” said Alon Lev, vice president and general manager for MLops at JFrog.
( Photo by David Clode on Unsplash )
