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@laura_garcia shared a post, 2 days, 7 hours ago

Software Developer, RELIANOID

📢 RELIANOID is heading to Frankfurt!

We're excited to attend Next IT Security – C-Suites Edition: Redefining Cyber Resilience in DACH, taking place on November 27th, 2025. “The time is always right to do what is right.” – Martin Luther King Jr. This exclusive summit brings together top CISOs, CTOs, and cybersecurity leaders from across..

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@anjali shared a link, 2 days, 10 hours ago

Customer Marketing Manager, Last9

Top 7 Observability Platforms That Auto-Discover Services

Auto-discovery tools now detect services as they appear and build dashboards instantly. Here are seven platforms that do it well.

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@cadet15789 shared a link, 3 days, 8 hours ago

Cut Your Docker Build Time in Half: 6 Essential Optimization Techniques

Pro tips to write dockerfiles. Cut your build timing of your images by half.

Kueue is a Kubernetes-native job queueing and workload management system designed for large-scale, mixed compute environments such as AI/ML training, batch workloads, and HPC workflows. Instead of scheduling individual Pods, Kueue operates at the job level, deciding when a job should run based on resource quotas, fair-sharing policies, cluster availability, and workload priorities.

Kueue integrates tightly with Kubernetes, working alongside the default scheduler rather than replacing it. It provides features such as all-or-nothing (gang) admission, workload preemption, quota-based sharing across teams or tenants, and support for advanced frameworks like JobSet and Ray. Its goal is to help Kubernetes clusters run efficiently under heavy load while ensuring that critical, latency-sensitive, or large training jobs receive the resources they need without starving lower-priority workloads.