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Arul Watson is the Head of Engineering at revolte.ai, where he is focused on re-engineering the relationship between developers and their infrastructure. With a deep background in scaling reliable engineering platforms, Arul advocates for a shift toward an AI driven SDLC that prioritizes platform simplicity and removes the "coordination tax" from the delivery lifecycle. At Revolte, he leads the development of an Adaptive AI Platform for Software Delivery designed to eliminate architectural noise and restore developer flow. His work is centered on building intelligent, context-aware systems that allow enterprise teams to scale without the cognitive burden of tool fragmentation.

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The Rise of Context-Aware Platforms in Cloud-Native Engineering

Context-aware platforms are reshaping cloud-native engineering by unifying metadata, governance and delivery signals to boost developer flow and operational intelligence ...
Arul Watson | February 20, 2026 | cloud-native architecture, context-aware platforms, delivery automation, kubernetes, platform engineering

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Rethinking Application Updates: Solutions for Faster, More Efficient CVE Patching
28 October 2026
CI/CD Cache Poisoning Is No Longer a Theoretical Attack
28 October 2026
The Rise of Playwright: Why Browser Automation Had to Change
28 October 2026
AI Security: Machine-Speed Threats, Multi-Layered Defense
1 December 2026
AI Security: Machine-Speed Threats, Multi-Layered Defense
Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault
23 November 2026
Agentic Runtime Security on AWS: Identity, Least Privilege, and Audit for AI Agents with IBM Verify Identity Access and HashiCorp Vault
Agentic Lifecycle Management with AWS
17 November 2026

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