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Get Kafka-Nated Episode 10

Dec 11, 2025 By Aiven In Aiven
Kyle McCullough, Co-Founder & CTO at OpsHelm, former Head of Infrastructure Engineering at ProdPerfect and Lead Engineer at Vivid Seats, joins host Hugh Evans to explore what it takes to build real-time, multi-cloud streaming infrastructure at scale. As Co-Founder and CTO of OpsHelm, Kyle shares how his team processes hundreds of terabytes of cloud events daily, maintaining sub-second visibility while reducing streaming costs by 78% after migrating from MSK and NATS to Aiven Diskless Kafka.
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cortex

Get more value out of your Cortex catalog with our MCP prompt library

Dec 11, 2025 By Cortex In Cortex
You've set up the Cortex MCP and connected it to your AI assistant and IDE. You ask about service ownership, check a Scorecard or two, and it works. You're impressed by how much faster this is than clicking through the web UI. Now you're wondering what else you can do with it. I'm willing to bet we've hit a nerve with that "hypothetical" scenario. The Cortex MCP works exactly as designed, but it's deceptively difficult to know which questions to ask and when to ask them.
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honeycomb

AI-Powered Observability: From Reactive to Predictive

Dec 11, 2025 By Rox Williams In Honeycomb
If there’s one thing clear from our AI-powered observability webinar, it’s that observability has officially graduated from a “nice-to-have” to a business-critical discipline, and AI is helping lead that charge. Our webinar brought together guest speaker Stephen Elliott, Group VP at IDC, and Ranbir Chawla, former SVP of Engineering at RB Global, for an hour of insights that mixed data, experience, and hard-won lessons from the trenches.
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iOPEX

Why UX is the Missing Layer in AI Adoption And How to Fix It

Dec 11, 2025 By iOPEX Technologies , In iOPEX
Most AI programs don’t fail on model quality. They fail because the experience makes people either over-trust or quietly avoid the system. Employees often use AI more than leaders realize, frequently without training or guardrails. Interfaces that just “show an answer” without confidence, provenance, or recourse create two risks: blind reliance and shadow use.
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harness

Accelerating Our Mission to Bring AI to Everything After Code

Dec 11, 2025 By Jyoti Bansal In Harness
Since launching Harness in 2017, we’ve been on a mission to unlock faster innovation by removing the bottlenecks that slow software engineering teams down. From day one, we believed that the biggest obstacles in engineering weren’t in writing code — they were in everything that followed.
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cloudzero

The AI Cost Crisis: 'AI Cost Sprawl' Is Crashing Your Innovation (AI Cost Sprawl Explained + How To Fix It)

Dec 11, 2025 By Lyne Carolyne In CloudZero
AI should speed up innovation, not inflate your cloud bill. But today, the biggest GenAI challenge for SaaS teams isn’t model quality; it’s cost. And increasingly, that cost comes from AI cost sprawl. That’s not because anyone is doing something wrong, but because AI operates differently from the cloud services we’ve all spent a decade learning how to manage.
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Capture and Use Network Response Data in AI Powered Testing

Dec 11, 2025 By Harness In Harness
Learn how to capture and use response data from network calls to build smarter and more reliable AI-driven tests. This walkthrough covers the full workflow from configuring user actions to extracting backend responses, validating data, and creating dynamic test flows. You will also see how response data improves debugging visibility and supports data-driven automation. The video includes Ideal for developers, testers, and platform engineers looking to improve the accuracy and resilience of AI-powered test suites.
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nexthink

How to Build a Clear AI Implementation Strategy

Dec 11, 2025 By Nexthink In Nexthink
Organizations see AI’s transformative potential, but success requires more than technology – it demands a clear strategy led by IT. A structured AI implementation roadmap aligns initiatives with business goals, establishes governance, and enables measurable ROI, while improving employee and customer experiences. Yet, 66% of organizations view AI as critical, but only 38% report meaningful competitive advantage, highlighting the need for disciplined adoption.
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