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@laura_garcia shared a post, 1 month ago

Software Developer, RELIANOID

🔐 Defense-in-depth is no longer a theory—it's a necessity in industrial networks.

In our latest article, we explore how industrial sectors are implementing network segmentation and microsegmentation to protect critical systems. From vertical and horizontal segmentation models to modern OT firewalls and IoT gateways, we break down the architectures and tools driving zero-trust in ..

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@sebasnob started using tool Symfony , 1 month, 1 week ago.

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@sebasnob started using tool Laravel , 1 month, 1 week ago.

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@laura_garcia shared a post, 1 month, 1 week ago

Software Developer, RELIANOID

🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan

DevOpsDays — a global series of technical conferences uniting software development and IT operations professionals — is coming to Almaty on 24 October 2025! 🎉 This event will gather local and international experts, engineers, and businesses to share insights, drive collaboration, and grow the DevOp..

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@thecodehazel started using tool React Redux , 1 month, 1 week ago.

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@thecodehazel started using tool Next.js , 1 month, 1 week ago.

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@jeffmoore64pub started using tool Visual Studio Code , 1 month, 1 week ago.

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@jeffmoore64pub started using tool ChatGPT , 1 month, 1 week ago.

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@jeffmoore64pub started using tool Azure , 1 month, 1 week ago.

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@sahil started using tool Kubernetes , 1 month, 1 week ago.

Fleet is a high-scale GitOps system built to support the realities of multi-cluster operations. Instead of pushing YAMLs or relying on brittle scripts, Fleet treats Git as the authoritative state and continuously reconciles that state across every cluster under management.

Its architecture uses lightweight agents, bundling, and content distribution to propagate changes efficiently - whether you’re managing five clusters or five thousand. Policies, Helm charts, CRDs, and raw manifests all become versioned, reviewable, and auditable through Git.

Fleet integrates cleanly with Rancher, enabling teams to automate cluster bootstrapping, enforce standards, roll out updates safely, and instantly detect drift. It excels in environments that demand consistency: edge fleets, hybrid cloud estates, regulated sectors, and platform teams building opinionated Kubernetes platforms.