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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Cycle

Our Biggest Platform Release in Years: Virtual Providers and Virtual Machines

May 14, 2025 By Jake Warner In Cycle
Cycle.io is taking a giant leap forward in 2025. Today, we're announcing the biggest platform release in years -- a release that catapults Cycle into a new era of hybrid infrastructure orchestration and cements its status as a true alternative to both Kubernetes and VMware. Now, with two massively impactful features: Virtual Providers and Virtual Machines.
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New Feature: Virtual Providers - Orchestrate Hybrid Infrastructure

May 14, 2025 By Cycle Platform In Cycle
Your Infrastructure. Your Cloud. Anywhere. Introducing Virtual Providers—a powerful new way to turn any server or VM into part of your Cycle-managed private cloud. With just a bootable ISO generated from the Cycle platform, you can instantly bring bare metal or virtual machines online—no matter where they live. Cloud, colo, on-prem, edge, or even a server sitting in a closet. Once connected, Cycle handles the provisioning, updates, networking, and orchestration automatically.
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NEW: Virtual Machines on Cycle

May 14, 2025 By Cycle Platform In Cycle
Run Anything, Anywhere — Now Including Virtual Machines Cycle just got even more powerful. In this video, we're announcing full support for virtual machine workloads on the Cycle platform. That means containers, functions, and now VMs—running side by side, managed through the same automation, networking, and orchestration engine. Whether it's bare metal in a colo, VMs on a cloud provider, or hardware in a homelab, Cycle brings it all together into one global private cloud.
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Teneo

AI at the Edge: Why Smart Data Placement is the Key to Unlocking Its Power

May 14, 2025 By Teneo In Teneo
As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential. This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations.
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jfrog

JFrog's SPOF Framework for SaaS Ecosystems

May 14, 2025 By Satheesh Balachandran In JFrog
As Software as a Service (SaaS) solutions evolve, organizations face increasing pressure to ensure uninterrupted service delivery. One of the most significant threats to SaaS Service delivery and operational continuity is the presence of known and unknown Single Points of Failure (SPOFs). As a SaaS organization, the team at JFrog deeply understands the risks of SPOFs and works hard to avoid them.
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What Does It Take to Build a Tech-Ready Skillset in 2025?

What Does It Take to Build a Tech-Ready Skillset in 2025?

May 14, 2025 By OpsMatters In OpsMatters
Between AI-augmented threat vectors, compliance regulations that read like legal thrillers, and the rise of everything-as-code, staying relevant in tech now means actively evolving. So, what does it really take to be tech-ready in 2025? Whether you're deep in IT operations, navigating DevOps pipelines, or wrangling compliance frameworks, there's a clear shift: employers aren't just hiring for knowledge-they're hiring for adaptability, cross-disciplinary fluency, and up-to-date certifications that prove more than just test-taking skills.
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cloudzero

Navigating GCP Instance Types: What To Use And When

May 13, 2025 By Cody Slingerland In CloudZero
Google Cloud Platform (GCP) might not always be the loudest name in the cloud room. But it’s gradually become a powerhouse for organizations running data-intensive, AI/ML, and global-scale applications. We also can’t ignore that GCP offers a backbone powered by Google’s own infrastructure (the same one that runs YouTube, Gmail, and Search).
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resolve

Automation Mistakes: The Anti-Patterns Holding IT Back

May 13, 2025 By Sean Heuer In Resolve
In a world where AI and automation are redefining enterprise IT, there’s one harsh truth that often gets overlooked: most automation initiatives fail before they begin. Not because the technology isn’t ready, but because the strategy isn’t. Too often, teams fall into well-worn traps—automation anti-patterns—that stall progress, waste resources, and fail to deliver meaningful impact. Let’s call them what they are: automation mistakes.
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