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@habiledata shared a post, 2 weeks ago
HabileData

5 Product Data Quality Issues in Multi-Channel Retail and How to Address Them

Weaknesses in product data expose themselves quickly in a multi-channel retail environment. Define a master schema, maintain control of your inventory and pricing via rules, continuously monitor for compliance, and connect performance metrics to the precise changes made for each SKU.

fixing-product-data-at-scale-5-issues-that-hurt-retail-listings
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@laura_garcia shared a post, 2 weeks, 1 day ago
Software Developer, RELIANOID

RELIANOID NIS360 Alignment & Compliance

🔐 RELIANOID NIS360 Alignment & Compliance At RELIANOID, we align our security strategy with the ENISA NIS360 Cyber Risk framework—helping organizations in critical sectors strengthen resilience and improve cybersecurity maturity. From governance and risk management to incident readiness and supply..

enisa nis360 relianoid
Kata Containers is a Cloud Native Computing Foundation (CNCF) project designed to close the security gap between traditional Linux containers and virtual machines. Instead of sharing a single host kernel like standard containers, Kata Containers launches each pod or container inside its own lightweight virtual machine using hardware virtualization.

This approach dramatically reduces the attack surface and prevents container escape vulnerabilities, making Kata ideal for multi-tenant, untrusted, or sensitive workloads. Despite using VMs under the hood, Kata is optimized for fast startup times and integrates seamlessly with Kubernetes through the Container Runtime Interface (CRI), allowing it to be used alongside runtimes like containerd and CRI-O.

Kata Containers is commonly used in scenarios such as multi-tenant Kubernetes clusters, confidential computing, sandboxed AI workloads, serverless platforms, and agent execution environments where strong isolation is mandatory. It supports multiple hypervisors, including QEMU, Firecracker, and Cloud Hypervisor, and continues to evolve toward faster boot times, lower memory overhead, and better hardware acceleration support.