Provider of cloud solutions to simplify Mac for enterprise businesses and facilitate global innovation across the Apple ecosystem. #DevOps #DaaS

Atlanta, GA
macOS 27 doesn't run on Intel, which means a lot of teams are about to spend a quarter migrating Mac hardware they would rather not touch. If your build machines are persistent, you already know what this means: Pull a machine out of the pool, upgrade or re-image it, reinstall Xcode and the entire toolchain, redo the certificates and provisioning profiles, run a build, find the one thing that drifted, fix it. Then do to every machine, one by one, with the pipeline running short the whole time. Then repeat the whole thing with macOS 28 😖 Interested in skipping this whole project? Talk to us about Orka. You build one image, every VM starts from it clean, and the next macOS release is a new base image rather than a quarter of hands-on work across the fleet.
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Yesterday’s Apple announcement made one thing clear: your employees’ devices are using AI in more places, including the business apps and accounts they rely on every day. This goes beyond new hardware. It changes how people work, how teams govern access to company data, and how developers test experiences across the Apple ecosystem.
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Checking one remote log shouldn't cost you an AWS console tab and a download. Guest post from @inc_electronic on CloudMounter: it mounts S3, Google Drive, Dropbox, SFTP, and your MacStadium-hosted storage in Finder. A remote config opens in Xcode like a local file. bit.ly/4qLYnH4
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If you work across client accounts, half the friction is logging out of one thing to get into another. Our friends at @inc_electronic wrote up how CloudMounter keeps several remote locations mounted in Finder at once. S3, Dropbox, Google Drive, SFTP, MacStadium storage. bit.ly/4zRxeqv
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Apple had a busy day... New Mac mini: M6 + M5 Pro. New Mac Studio: M5 Max + M5 Ultra. More AI compute, more memory, faster connectivity and new options for clustering Macs for larger workloads. We’re digging into what it means for enterprise Mac infrastructure. 👀
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6 in 10 enterprise DevOps teams don't have their Mac capacity right. We surveyed 300 DevOps, platform, and infrastructure leaders on how their Mac CI capacity is actually performing. Only 41% said it generally meets demand. Everyone else falls into one of three risk buckets: → 30% hit occasional bottlenecks → 21% are sitting on excess capacity they're paying for and not using → 8% deal with build queues that actively block development Different buckets, same problem: it's all money. Overprovisioning burns budget. Bottlenecks and queues burn developer time and slow releases. On top of that, teams already lose an average of 3.5 hours per developer, per week, to Mac CI issues, regardless of which bucket they're in.
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🚨 In response to the macOS Screen Sharing vulnerability, we have proactively blocked traffic to the default screensharing port on customer machines in our data centers while customers apply Apple’s security updates. More info + recommended next steps ➡️ bit.ly/4xB23Ok
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Most of us entered the age of AI with the assumption that more code would mean more release velocity. But if the infrastructure underneath hasn't scaled with it, that code increase shows up as infrastructure spend, not shipped product.
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A 90-minute build isn’t just slow. It’s broken focus. Faster builds aren’t just about shaving minutes off a pipeline. They’re about keeping developers in flow. bit.ly/45lLSYR
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Happy July 4th from the MacStadium headquarters in Atlanta, GA This year we celebrate 250 years of US independence. Have a safe and happy holiday.
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You can now manage Orka with Claude Code, Gemini CLI, and GitHub Copilot. Provision VMs, manage images, check cluster status — all from natural language in your terminal. 🔗 bit.ly/4vDSAVP
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No more orphaned VMs or stuck jobs after a coordinator restart. The latest Orka GHA integration update brings scale set reuse, automatic VM reconciliation on startup, and smarter provisioning tracking. Community-driven fix. Details: bit.ly/4eGX8Dp
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