Name: Kubernetes in Production: What They Don’t Tell You
Start: 2025-08-17T18:30:00+05:30
End: 2025-08-17T21:30:00+05:30

**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

venkatesh DB

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