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Kubernetes in Production: What They Don’t Tell You

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venkatesh D.
Kubernetes in Production: What They Don’t Tell You

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Why it works: Most pros know K8s basics—this dives into real-world challenges and solutions.
Subtopics:

  • Real production outage war stories
  • Node pressure, evictions, autoscaling pains
  • Resource tuning (CPU/Mem/Pod limits)
  • Monitoring beyond Prometheus & Grafana
  • Readiness/Liveness vs startup probes
  • Helm pitfalls and GitOps wins

💡 Add Live Demo: Chaos engineering with `kubectl` and `chaos-mesh`.

***

### ⚙️ 2. “Kubernetes at Scale: 1 Million Pods and 10,000 Nodes”

Why it works: Shows high-scale architecture and tuning—perfect for infra-heavy audiences.
Subtopics:

  • etcd scaling and shard patterns
  • kubelet optimizations, CRI tuning
  • Cluster federation vs multi-cluster service mesh
  • Use of CRDs to customize control plane
  • Scaling logs/metrics/ingress

💡 Add Open-source Showcase: Show your infra-as-code Terraform/GitOps setup.

***

### 🔐 3. “Zero Trust Security in Kubernetes”

Why it works: Security is top priority; show real isolation models and best practices.
Subtopics:

  • NetworkPolicies and Calico setup
  • RBAC hardening (least privilege)
  • Secrets management: HashiCorp Vault + K8s
  • Zero trust service mesh (Istio/ZTunnel/Linkerd)
  • Container image scanning (Trivy/Snyk)

💡 Live Attack Demo: Try a misconfigured pod → access cloud metadata, then fix.

***

### 🚀 4. “From Dev to Prod: Enterprise CI/CD with Kubernetes”

Why it works: DevOps folks love end-to-end automation.
Subtopics:

  • Jenkins + ArgoCD + Helm flow
  • Canary & Blue/Green deployments with Istio
  • GitHub Actions + K8s deployment pipeline
  • Secrets management in CI
  • ChatOps and Slack deploy bots

💡 Live Deploy: Trigger code → GitHub Actions → ArgoCD deploy → verify in real-time.

***

### 🤖 5. “Kubernetes Operators: Automate Anything”

Why it works: Few people master Operators; it’s a hot area.
Subtopics:

  • What’s an Operator vs Controller
  • How to write one (Kubebuilder)
  • Use case: Auto-scaling DB clusters, Backup jobs
  • Watchers, Reconcilers, CRDs explained
  • Real operator (e.g. Prometheus, Kafka)

💡 Live Demo: Build and deploy a mini custom Operator.

### 👉 Suggested Flow for 2.5 Hours:

| Time | Segment |
| ---- | ------- |
| 0–15 min | Opening talk + story why this topic matters |
| 15–60 min | Deep dive session with live diagrams & case studies |
| 60–90 min | Live demo (20–30 min) |
| 90–120 min | Q&A + group discussion, real-world use |
| 120–150 min | Bonus insights, tools, free resources + networking |

Join Zoom Meeting

[https://us02web.zoom.us/j/84190207249?pwd=2aXbz7gQaMFQxcF2tJTYBqUSjO19uW.1](https://www.google.com/url?q=https://us02web.zoom.us/j/84190207249?pwd%3D2aXbz7gQaMFQxcF2tJTYBqUSjO19uW.1&sa=D&source=calendar&usd=2&usg=AOvVaw12QN1XEJ4damVHlxjg5lw8)

Meeting ID: 841 9020 7249
Passcode: 970306

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