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laura_garcia
@laura_garcia shared a post, 1 week, 6 days ago
Software Developer, RELIANOID

Tesco’s latest outage is a reminder: uptime IS the customer experience.

Shoppers across the UK faced checkout failures, broken order updates, and Clubcard access issues as Tesco’s digital platforms suffered “intermittent” instability. In modern retail, even brief disruptions damage trust, loyalty, and sales. At RELIANOID, we help retailers stay resilient with intelligen..

tesco outage
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anjali
@anjali shared a link, 2 weeks ago
Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

otel_metrics_quarkus
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devopslinks
@devopslinks added a new tool Syft , 2 weeks ago.
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kaptain
@kaptain added a new tool KubeLinter , 2 weeks ago.
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bridgecrewio
@bridgecrewio started using tool checkov , 2 weeks ago.
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devopslinks
@devopslinks added a new tool Grype , 2 weeks ago.
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kaptain
@kaptain added a new tool Hadolint , 2 weeks ago.
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varbear
@varbear added a new tool Bandit , 2 weeks ago.
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devopslinks
@devopslinks added a new tool JFrog Xray , 2 weeks ago.
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devopslinks
@devopslinks added a new tool OWASP Dependency-Check , 2 weeks ago.
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.