Gartner Expert

Manjunath Bhat

Distinguished VP Analyst

Manjunath (Manju) Bhat is a Research VP and Gartner Fellow in the software engineering practice covering technologies and practices related to DevSecOps, Generative AI, cloud-native architectures, green software engineering, open source software and software supply chain security. Mr. Bhat advises clients on initiatives that intersect software engineering, security engineering and platform engineering.

Manjunath views the impact of Generative AI on software engineering through two perspectives - Building intelligent DevOps pipelines and Building intelligent applications. He has led foundational work on improving developer experience, software bill of materials (SBOMs) and predicting the thrivability of emerging technologies. Manju launched Gartner's first edition of the Magic Quadrant for DevOps Platforms (2023) and the Hype Cycle for Platform Engineering (2024).

Previous experience

Mr. Bhat architected and designed mobile security and the AirWatch EMM software in his previous position. He was the head of engineering at AirWatch by VMware India Technologies. He joined the company as the first employee and built the R&D organization from the ground up.

His expertise includes building scalable,fault-tolerant,load-balanced, high volume, mission-critical transactional systems. He Was responsible for the technical architecture of warehouse automation software that powered one of the world's biggest warehouses in North America.

Professional background

Manhattan Associates Inc., Senior Manager, Design of Warehouse Automation Software, 4 years

Manhattan Associates India R&D Center, Development Manager, 4 years

VMware, Director, R&D, 5 years

Areas of coverage
  • Software Engineering Technologies

  • Security of Applications and Data

  • Software Engineering for Technical Professionals

  • Software Engineering Practices

  • Build a World-Class Software Engineering Organization

Education

Master's Degree, Software Systems

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Top Issues That I Help Clients Address

01

How to scale the delivery of intelligent, generative AI applications

02

How to use Generative AI to enhance the complete software development life cycle

03

How to build and test AI applications using AI application development platforms and AI Agent Builders

04

How to optimize AI cost and improve reliability using AI gateways and model routers

05

How to adopt and contribute to open-source software, including governance and innersource approaches