Arun Ulag

AWS Marketplace momentum doesn’t happen in a vacuum. It takes strong alliances to make innovation real for customers. And that’s where Sreejith Karuthody has been a driving force for Confluent's marketplace GTM 🚀 💥 Leading Confluent’s AWS alliance to bring real-time data streaming into Marketplace-led growth 💥 Scaling co-sell motions and partner programs that unlock joint wins for Confluent, AWS, and most importantly, the customers 💥 Championing next-gen categories like AI Agents That kind of partnership is reshaping how ISVs deliver customer impact on cloud. We’re thrilled to have Sree round up our panel on 🔈Growing Revenue Faster with Co-Sell, Automation, and Agentic AI.🔈 Sree brings a unique vantage point from Confluent on: ➡️ How alliances with AWS translate into meaningful marketplace outcomes ➡️ What it takes to operationalize co-sell and scale partner-led growth ➡️ How the new AI agent category opens up new opportunities for ISVs 📅 Don’t miss the chance to hear directly from one of the leaders shaping the future of Marketplace-driven ecosystems. 🔗 https://hubs.ly/Q03CwDbd0 #AWSMarketplace #CloudSales #CoSell #Automation #AgenticAI #PartnerEcosystem

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While below update might appear a new release or a feature been made available. I will try to elaborate on what it can do for business in digital era. Its not a regular release. Its a game changer Here are key areas impacting business where we are working with customers even before the launch of Tableflow for early access. Saving AI models from hallucinations Hyper Personalisation Realtime recommendation engine Realtime Fraud Prevention Quality Improvement in manufacturing Energy optimization Proactive maintenence Connected Cars, realtime action Cyber Defense Would really encourage practioners and think tanks to share their comments with expanding above pointers. Look forward to some insightful comments. #tableflow #flink #unitycatalog #Kafka #Confluent #AWS #deltalake

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Oracle Globally Distributed Exadata Database on Exascale Infrastructure Unleashed Oracle Globally Distributed Exadata Database on Exascale Infrastructure prioritizes lowering costs, enabling customers to run a variety of distributed workloads, including agentic AI, analytics, and transactional application. https://lnkd.in/gbdSU6Tk

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Midmarket customers need simplicity, not hyperscale complexity. 🧩 While AWS, Azure, and Google Cloud were built for global scale, they often fall short for businesses that value clarity, control, and real support. This white paper breaks down the key challenges—like opaque pricing, overengineering, and vendor lock-in—and shows why more partners are choosing CaaB. ✅ Transparent pricing ✅ Turnkey disaster recovery ✅ No lock-in Download the white paper to explore how a purpose-built platform like CaaB - Cloud as a Business helps reduce risk, not shift it.

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People often ask me about the differences in architecture between Amazon Dynamo (the 2007 SOSP paper), DynamoDB (the AWS serverless NoSQL database), and Aurora DSQL (the AWS serverless SQL databases). I captured the key points on durability, high availability, programming model, and trade-offs in my blog: https://lnkd.in/gkMG_tVD TL;DR: Despite the shared name, Dynamo and DynamoDB have little in common architecturally, and make very different trade-off decisions.

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The 2025 Dora Report on AI-assisted development AI accelerates software development, but that acceleration can expose weaknesses downstream. Without robust control systems, like strong automated testing, mature version control practices, and fast feedback loops, an increase in change volume leads to instability.

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Oracle and Google Cloud are joining forces to make Google's Gemini models available directly on Oracle's cloud infrastructure. This collaboration simplifies multi-cloud workflows, letting developers and businesses use Gemini for tasks like generating text and images, all while staying within the Oracle environment and using their existing credits. Read more about this:

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