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@faun shared a link, 9 months, 4 weeks ago
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20 Best Kubernetes Monitoring Tools in 2025

Kubernetes monitoring isn't just about scraping metrics anymore. It's grown up into full-stack observability—metrics, logs, traces, plus flashy toys like AI-powered anomaly detection, real-time dashboards, and distributed tracing that actually works. The big players—Prometheus,Grafana,Datadog,Dynat.. read more  

20 Best Kubernetes Monitoring Tools in 2025
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@faun shared a link, 9 months, 4 weeks ago
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Docker Scout for Vulnerability management of Containers and remediation

Docker Scout now scans Azure Linux 3.0 containers for CVEs in real time—right in your pipeline. It spots vulns by layer, shows you how to fix them, and plays nice withDocker,Azure DevOps, andGitHub Actions. Security scanning isn't extra credit anymore. It's shipping with the build... read more  

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@faun shared a link, 9 months, 4 weeks ago
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Choosing the Best Kubernetes API Gateway: comparing Kong, Envoy, and kgateway

TheKubernetes Gateway APIhit v1.0 and is officially stable. It's a clean break from the old Ingress model, bringing modular, role-aware, multi-protocol control. Core players:Gateway,GatewayClass, andHTTPRoute. On the flip side,Kong Gatewayis losing ground. The newer kids—Envoy Gatewayandkgateway—ar.. read more  

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@faun shared a link, 9 months, 4 weeks ago
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I've been using Talos Linux for Kubernetes, and I'll never look back

Talos Linux—an OS stripped down to the essentials and locked tighter than a production firewall—now boots cleanly as a VM onProxmox, playing nice with fullKVM/QEMUsupport. No shell, read-only filesystem, all wired forKubernetesviatalosctl. System shift:Devs are tossing old-school VM stacks for bare.. read more  

I've been using Talos Linux for Kubernetes, and I'll never look back
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@faun shared a link, 9 months, 4 weeks ago
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Azure Kubernetes Cluster with Terraform

Spin up a production-gradeAKScluster withTerraform, but skip the hand-wavy theory. This new hands-on project gets into the weeds—RBAC, autoscaling, network policies, IP lockdowns, and yes,Azure Monitorwired up for observability out of the gate. Costs? Controlled. Infra? All code. It’s IaC for teams.. read more  

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@faun shared a link, 9 months, 4 weeks ago
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How Freshworks optimized server provisioning using Karpenter

Freshworks optimized AWS EKS with Karpenter to handle diverse instance types, reduce costs, and achieve seamless node provisioning, disruptions, and terminations with minimal impact to service availability and resource utilization... read more  

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@faun shared a link, 9 months, 4 weeks ago
FAUN.dev()

Understanding Kubernetes Commands and Arguments

Kubernetes lets you override a container’sCMDandENTRYPOINTwith thecommandandargsfields in your Pod spec. But don’t expect to change them after the Pod’s spun up—this isn’t Docker. No runtime flags here... read more  

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@faun shared a link, 9 months, 4 weeks ago
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Kubernetes v1.34 Sneak Peek

Kubernetes v1.34 lands in August 2025. It bringsDynamic Resource Allocation (DRA)to stable—structured resource requests, CEL filtering, and support for GPUs and custom gear. Built on new API types. Finally. Kubelet and API Server tracinglevel up with OpenTelemetry. Stable's the goal. Per-HPA autos.. read more  

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@shallin02 shared a post, 10 months ago
Content Writer, ManageEngine Applications Manager

Container monitoring demystified: Real challenges and what actually works

Applications Manager

Discover the real challenges of container monitoring from ephemeral workloads to hybrid cloud complexity and learn practical solutions using tools like Prometheus, OpenTelemetry, and Applications Manager.

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@laura_garcia shared a post, 10 months ago
Software Developer, RELIANOID

🌐 DDoS in 2025: Bigger, Smarter, and More Dangerous

DDoS attacks in 2025 are more frequent, complex, and accessible than ever—some reaching beyond 3 Tbps. From AI-driven traffic patterns to IoT botnets and multi-vector campaigns, the threat is real. Critical infrastructure, cloud APIs, and even elections are under fire. 🔐 At RELIANOID, we fight back ..

Blog DDoS Trends RELIANOID
Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2–6 years of experience) who want to land jobs at top-tier tech companies.

Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.

Here is how it works:

Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.

Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.

Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.

Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.

In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.