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@faun shared a link, 10 months, 2 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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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, 10 months, 2 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, 10 months, 2 weeks ago
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Retiring Docker Content Trust

Docker’s sunsettingDocker Content Trust (DCT)in 2025, starting withDocker Official Images. Not many used it, andNotary v1is toast. So they’re moving to modern signing tools likeSigstoreandNotation. Migration guides are on the way. What’s really happening:The container world’s ditching old trustboxe.. read more  

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@faun shared a link, 10 months, 2 weeks ago
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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, 10 months, 2 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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@faun shared a link, 10 months, 2 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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@shallin02 shared a post, 10 months, 3 weeks 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, 3 weeks 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
Story ManageEngine Team
@shallin02 shared a post, 10 months, 3 weeks ago
Content Writer, ManageEngine Applications Manager

Is your docker setup actually performing well?

Applications Manager

Learn why Docker container monitoring is essential for performance, stability, and cost control. Discover must-watch metrics and explore tools like Applications Manager for real-time insights and smart alerts.

Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.