EveryOps Day Mumbai 2026
as the organisers put it
EveryOps Day Mumbai 2026 explores the evolution of DevOps, security, and AI into a unified operating model. The event features industry leaders discussing software supply chain innovation and AI-powered enterprise delivery.
| title | author | length |
|---|---|---|
| A look back at EveryOpsDay 2026 at JW Marriott Juhu, Mumbai. | Sunny Rao | 01m |
Claims that enterprise shipping in 2026 has changed fundamentally since 2024, with concrete demos showing end-to-end AI-generated code pipelines integrating… | ||
| Building the Software-Defined Vehicle | Vaisakh Venugopal | 11m |
Tata Motors describes a live pipeline that links developer commits to over‑the‑air vehicle updates using JFrog Artifactory as the single source of truth, JFrog… | ||
| the AI Software Supply Chain | Arvind Jayaprakash | 28m |
Argues for a signed central artifact registry as the single source of truth to avoid locally built jars and unreproducible snapshots, and shows how governance… | ||
| Welcomes India to EveryOps Day Mumbai 2026 | Sunny Rao | 09m |
Opening remarks quantify stakes: $3 trillion in-room market cap and a May 21 software supply chain report. Claims include 65% of Indian enterprises no package… | ||
| The Autonomous Enterprise | Nitish Tyagi, Janaki Raman, Kapil Talreja, Sunny Rao | 33m |
Panelists predict that within 3–5 years multiple specialized agents orchestrate entire SDLCs, creating continuous refactoring pipelines that close the loop… | ||
| From Code to Trusted Release | Karthik Rameshkumar, Yashaswi Mudumbai | 32m |
Enterprises stitch GitHub and JFrog into a single pipeline that claims end-to-end provenance, policy gates, and an artifact system of record so teams can trace… | ||
| AI in the Security Stack | Jayashree Acharyya, Nambivengadam Srinivasan, Ashok Kumar Ratnagiri, Gal Marder | 33m |
Panelists argue enterprises must move faster and instrument pipelines with concrete controls: they claim 85% of code comes from the software supply chain, so… | ||
| Securing the AI Surge | Asaf Cohen, Guy Eshet | 33m |
Claims a practical, enforceable stack: use JFrog Curation and Artifactory as a package firewall to block immature packages, employ compliant version selection… | ||
| Agentic AI | Naresh Choudhary, Sudhir Narla | 31m |
Infosys outlines a platform-first path called IDP that integrates 100+ tools, uses a backend fabric to pick models and manage data, and ships self-healing… | ||
| Managing the AI Surge | Prasanna Raghavendra | 29m |
AI multiplies versions, PRs and repositories and JFrog shows how it copes: Artifactory stores binaries at scale and federates across clouds to hit four 9s… | ||
| Managing the AI Surge: Governing & Scaling in the AI Era | Gal Marder | 35m |
AI multiplies repos, commits and artifacts into an automated deluge where binaries become the primary output and agents both write and deploy code, creating… | ||
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