Rob Strechay at the next place

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Rob Strechay at the next place

Rob Strechay at the next place

@RealStrech

MD & Analyst @theCUBEResearch Founder Product GTM Cloud AI Observability SustainableIT K8s - FORMER: Startups @AWScloud @Snowplow @Zerto @HPE @NetApp

any place with an airport Katılım Aralık 2008
2.1K Takip Edilen1.4K Takipçiler
Rob Strechay at the next place
To mark the 20th anniversary of Amazon S3, I had the chance to sit down with Andrew Warfield (VP & Distinguished Engineer at @awscloud (AWS)) to talk about how @amazon S3 evolved from object storage into a core data substrate for modern applications. Then on AnalystANGLE with David Vellante, we unpacked the bigger story. This article wraps up that discussion and adds some other thoughts I had. 🎥 Both videos premiered today and are listed at the bottom of the article 👇 linkedin.com/pulse/amazon-s…
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Rob Strechay at the next place
Everyone is talking about AI models. But after spending time at @VAST_Data's VAST Forward, one thing became very clear: Agentic AI isn’t a model problem. It’s a data platform architecture problem. As organizations move beyond copilots into AI systems that take action, the real bottleneck isn’t the LLM. It’s the platform underneath: • governed data access • high-speed data platform services • persistent AI memory • GPU-accelerated data services • distributed infrastructure that can manage fleets of AI systems At VAST Forward, the conversation wasn’t about bigger models. It was about how the data platform becomes the runtime for AI agents. That shift is huge. The companies that win in the next wave of enterprise AI won’t just deploy better models; they’ll build data platforms designed for agentic systems. I break down the four architectural shifts emerging from VAST Forward and what they mean for platform teams, CTOs, and data engineers. 👇 Short video (6 min) and Full article below linkedin.com/pulse/agentic-…
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Rob Strechay at the next place
Rob Strechay at the next place@RealStrech·
Enterprise AI isn’t stuck because of models. It’s stuck partially because of fragmentation. Red Hat is positioning itself as the knitting layer of the AI stack, binding NVIDIA silicon, hybrid infrastructure, and lifecycle management into a standardized AI control plane. The real shift? ➡️ From coding AI ➡️ To deliver AI ROI With ~67% of enterprise data still on-prem or hybrid, hybrid consistency is the real battleground. I break down: • Why this is a real challenger in AI infrastructure • What it means for @DellTech @Lenovodc @HPE Broadcom @VMware & @Azure • The migration implications for GKE/AKS/EKS users • Where observability gaps still exist Full analysis 👇linkedin.com/pulse/red-hat-…
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Sarbjeet Johal
Sarbjeet Johal@sarbjeetjohal·
As storage vendors expand their wings into data part of AI, calling them storage vendors does a disservice to them. In that spirit, @PureStorage rebrands to Everpure!
Sarbjeet Johal tweet media
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Sarbjeet Johal
Sarbjeet Johal@sarbjeetjohal·
.@IBM falling 13% after Anthropic said its Claude Code tool could be used to modernize legacy systems that run COBOL. My POV: COBOL modernization is not a new phenomenon, this selloff is an overreaction!
Sarbjeet Johal tweet media
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Rob Strechay at the next place
Rob Strechay at the next place@RealStrech·
Storage is becoming an intelligence layer. IBM just pushed agentic AI closer to the disk - not just the controller. Why that matters for skills gaps, ransomware, and AI workloads 👇 Full analysis on LinkedIn:linkedin.com/pulse/agentic-…
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Sarbjeet Johal
Sarbjeet Johal@sarbjeetjohal·
Prediction Market Platforms are all the craze! Here are the top few: @Polymarket (Overall) @Kalshi (Best for US Users) @Novig (Sports & Efficiency) @Cryptocom (Accessible) @ForecastEx (Institutional): A CFTC-regulated exchange targeting finance-focused users.
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Rob Strechay at the next place retweetledi
Jennifer Follett
Jennifer Follett@jfollett·
✨Applications are still open for the 2026 CRN Women of the Channel List, recognizing women driving meaningful transformation across the channel. 📅 Due: 𝗙𝗿𝗶𝗱𝗮𝘆, 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟮𝟯 Submit your application here: okt.to/nrxqOy #CRNWOTC
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