How Grab YANKED 200 Macs Back On-Prem and Crushed Costs!

How Grab YANKED 200 Macs Back On-Prem and Crushed Costs!

Grab, Southeast Asia's leading super-app for ridesharing and food delivery, recently completed a transformative overhaul of its app-building infrastructure by moving more than 200 Mac Minis from the cloud into a self-managed datacenter. Previously relying on a US cloud provider for its macOS Continuous Integration/Continuous Delivery (CI/CD) needs, Grab faced major cost pressures—macOS build minutes on cloud platforms were ten times pricier than Linux, and Apple's requirements meant paying for 24-hour blocks even during off-peak periods. Attempts to boost efficiency with macOS virtualization were hampered by performance and stability trade-offs. By shifting to on-premises infrastructure, with four racks housing over 200 Mac Minis in Malaysia, Grab gained 20-40% faster CI/CD performance and slashed costs by an estimated $2.4 million over three years. Automated provisioning with Jamf management tools minimizes maintenance overhead, giving Grab tighter control and a competitive edge in mobile app development. This bold move aligns with a broader trend in tech—cloud repatriation—where companies reclaim cost and performance benefits for critical workloads by moving off public cloud platforms. Grab's experience is a key case study for businesses wrestling with cloud expenses versus operational agility.

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The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

In this video, David Linthicum delivers a blunt critique of how large enterprises mishandled cloud adoption and are now repeating the same mistakes with AI. He explains that many IT leaders treated cl...

16 Feb 16min

RSAC 2026: The "Securing AI" Pivot Is Here (Agentic AI, MCP, Shadow AI)

RSAC 2026: The "Securing AI" Pivot Is Here (Agentic AI, MCP, Shadow AI)

RSAC 2026 is shaping up to be the year cybersecurity stops talking about "using AI" and starts obsessing over securing it. In this video, we break down the top conference trends emerging from early se...

13 Feb 36min

Why Google Cloud Platform is Behind, and What They Can Do About It.

Why Google Cloud Platform is Behind, and What They Can Do About It.

Google Cloud Platform (GCP) lags in third place among the top cloud providers, despite impressive financial growth, due to systemic challenges and fierce competition from Amazon Web Services (AWS) and...

12 Feb 9min

The Jig Is Up for Big Consulting: A 2026 Buyer's Guide for Cloud & AI Strategy

The Jig Is Up for Big Consulting: A 2026 Buyer's Guide for Cloud & AI Strategy

For years, big consulting firms have been selling "cloud and AI strategy" as if it were a product you can just buy off the shelf. In 2026, the jig is up. This video is your no‑nonsense buyer's guide t...

9 Feb 21min

Oracle's AI Data-Center Overbuild Could Break the Company

Oracle's AI Data-Center Overbuild Could Break the Company

Oracle is reportedly tied to roughly USD 56 billion in AI data-center financing, and Wall Street is treating it like a stress test, not a victory lap. In this video I break down why "build it and they...

7 Feb 14min

The Cloud Security Crisis No One Wants to Admit—61% Failure Rate

The Cloud Security Crisis No One Wants to Admit—61% Failure Rate

In this crucial video, cloud security leader David Linthicum exposes a troubling statistic: 61 percent of cloud security incidents are completely preventable. Drawing on the latest security research, ...

2 Feb 13min

Azure Softness + AI Capex = The Public Cloud's New Problem

Azure Softness + AI Capex = The Public Cloud's New Problem

Why did Microsoft stock drop even after a headline beat? In this episode, cloud analyst David Linthicum breaks down the market's "beat-and-drop" reaction to Microsoft's latest earnings and what it sig...

1 Feb 15min

Why the Tech Industry Keeps Lying to Itself (and You)

Why the Tech Industry Keeps Lying to Itself (and You)

The tech industry is brilliant at building new things—and terrible at admitting when it gets them wrong. In this video, I break down why our predictions about cloud, AI, big data, blockchain, metavers...

26 Jan 22min

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