Linton Kuriakose John

The way live video gets delivered is about to change. Here’s what we’re building at Oracle. For 20 years, live streaming has run on the same fundamental architecture. It works — until it doesn’t. Peak events, thundering herds, last-mile congestion. Every major broadcaster knows the feeling when the big moment arrives and the cracks start to show. We’ve been working on something different. Dustin E. and I just published the first post in a series documenting Oracle’s foray into Media over QUIC (MoQ), a new transport protocol designed from the ground up for high-concurrency, real-time streaming. https://lnkd.in/gbg6vG98 #MediaTech #Streaming #LiveVideo #QUIC #CloudInfrastructure #OCI #VideoEngineering #MoQ

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In conversation with ITNews Asia, Oracle's Tirthankar Lahiri shares why 2026 could be a tipping point for intelligent data platforms. As enterprises operationalise AI, vectorised data, converged architectures, and built-in trust will define the next phase of innovation. https://lnkd.in/gNthADeV

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Yesterday, IBM dropped their new WebMethods Hybrid Integration, which brings some cool upgrades around unified API management and orchestration—now with AI to help out. This comes right in line with Gartner's prediction that API demand will jump by about 30% by 2026, mostly thanks to AI and tools using large language models (LLMs). It’s exciting to see how AI is really changing the way we use APIs and making them even more important moving forward.

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At AI World Vegas, Oracle’s Sharat Chander told The Times of India that young engineers can stay relevant by strengthening their fundamentals — from concurrency and performance tuning to API design — and using AI tools to accelerate, not replace, learning. https://lnkd.in/gnjfieu9

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AWS experienced a 15-hour disruption (plus a few additional hours for backlog reprocessing) in US-EAST-1, caused by a DNS resolution failure in DynamoDB. The issue cascaded into EC2 launch failures, Lambda invocation errors, and Network Load Balancer health check impairments, impacting multiple core and global services. This incident highlights how deep interdependencies in cloud ecosystems can amplify the impact of a single failure — and reinforces the need for resilient architecture, multi-region design, and automated incident response. Historical Context: June 2023: ~2-hour outage in US-EAST-1 December 2021: ~7-hour outage in US-EAST-1 I can imagine the pressure the engineering teams were under to restore services — probably 15hrs straight with just coffee 😊 . I hope they'll share a detailed Root Cause Analysis.

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