#LSPPDay14 Learned about Kubernetes ConfigMaps and Secrets, understanding how configuration and sensitive data are managed separately in clusters. Also, successfully set up Minikube and kubectl locally. @lftechnology #60DaysOfLearning2026 #LearningWithLeapfrog

A rigorous exposition of Kubernetes ConfigMaps and Secrets delineates the imperative decoupling of configuration data from container images, thereby optimising system modularity and securing sensitive information. 🔒🛠️ #Kubernetes nivelepsilon.com/2023/10/25/…

③ Broken Configurations → Wrong environment variables → Invalid ConfigMaps → Secret issues A single typo can take down a service.

Day 30/30 - complete. ☸️✅ 30 days. 30 infographics. One complete Kubernetes learning journey. This is what we covered: Day 1 → Kubernetes Fundamentals & Architecture Day 5 → Pods, YAML, Labels & Selectors Day 10 → Deployments, Services & Application Exposure Day 15 → Storage, ConfigMaps & Secrets Day 20 → Networking, Ingress & Cluster Operations Day 25 → Security, RBAC, Monitoring & Troubleshooting Day 29 → Interview Prep & Real-World Scenarios Day 30 → Best Practices, Projects & Your Next Steps Thank you to everyone who followed, saved, shared, and learned along the way 🙏 The complete 30-Day Kubernetes Learning Plan is now available free on Substack. PDF version is available on Gumroad. Links in reply 👇 Now tell me: What should the next learning plan be? Comments below 👇

I thought deploying to Kubernetes would be the hard part. Turns out debugging namespaces, ConfigMaps and permissions took longer than deploying the application itself 😅 project update: - deployed a full-stack application on AKS - pushed images to ACR (cont.)

Tomorrow is Day 30. ☸️ The final Kubernetes infographic drops tomorrow. 29 days in, here's what we've covered: → Containers, Kubernetes Architecture & kubectl → Pods, Labels, Selectors & Namespaces → Deployments, ReplicaSets & Services → ConfigMaps, Secrets & Storage → Persistent Volumes, PVCs & StatefulSets → Networking, DNS & Ingress → Scheduling, Taints & Affinity → RBAC, Service Accounts & Security → Monitoring, Logging & Troubleshooting → Helm, CI/CD & Production Best Practices → Today's topic: Kubernetes Interview Prep & Real-World Scenarios One more tomorrow. Which Kubernetes topic took you the longest to understand? Reply below 👇

wont sleep on that x.com/KintaraOfSolana/status… @configmaps @Aione1One

Hardcoding configuration variables into your container images breaks the core promise of DevOps: Immutable Deployments. If you have to rebuild a binary just to change a database endpoint between Staging and Production, you're doing cloud-native wrong. Kubernetes solves this by decoupling code from config via ConfigMaps & Secrets. Here is everything you need to master them: 1. ConfigMaps (The Settings Panel) • Designed for non-sensitive data (e.g., nginx.conf, log levels). • Stored as plain text directly inside the etcd database ledger. • Strict size constraint: Maximum 1 Megabyte (1 MiB). 2. Secrets (The Security Vault) • Built for sensitive info (e.g., API keys, DB passwords, TLS certs). • The Obfuscation Illusion: By default, Secrets are Base64 ENCODED, NOT encrypted. Anyone with cluster access can decode them in seconds. • True Security: Must enable Encryption at Rest via a KMS provider (AWS KMS, HashiCorp Vault). 3. How your apps consume them? • Environment Variables: Static. If you update the ConfigMap, the running container WON'T see it until a Pod restart. • Volume Mounts: Dynamic. Values project as files. The control plane auto-syncs updates without a Pod restart. • Caveat: Auto-sync fails if you use `subPath` to mount specific files! 4. The Hotel Analogy • Hardcoded Config = Tattooing recipes directly onto a chef's arms. If the menu changes, you have to fire the whole crew and hire new ones. • ConfigMaps = The employee hallway corkboard showing opening hours. • Secrets = The back-office safe holding master keys written in corporate shorthand. Stop baking configs into your images. Decouple your architecture. 👇 Drop your thoughts below! Which injection vector do you prefer in production? #Kubernetes #DevOps #CloudComputing #PlatformEngineering #AWS

A visual guide to the Kubernetes components you'll see every day. Pods, Services, Ingress, ConfigMaps, PVs, Helm, and more.

🚨 High - Argo Workflows Missing Authorization (GHSA-48p8-g2fx-3wwm) A high-severity vulnerability in Argo Workflows allows authenticated users to perform unauthorized CRUD operations on ConfigMaps used by the Sync Service's ConfigMap-backed provider due to missing authorization checks. Impact: • unauthorized ConfigMap access • creation, modification, and deletion of synchronization limits • potential workflow disruption and policy bypass Affected versions: • github.com/argoproj/argo-wor… <3.7.15 - fixed in 3.7.15 • github.com/argoproj/argo-wor… >=4.0.0, < 4.0.6 - fixed in 4.0.6

KUBERNETES — MASTER TREE ☸️ Kubernetes │ ├── 01. Container Foundations │ ├── Docker Basics │ ├── Images │ ├── Containers │ ├── Registries │ ├── Docker Compose │ └── Container Networking │ ├── 02. Kubernetes Architecture │ ├── Control Plane │ ├── API Server │ ├── Scheduler │ ├── Controller Manager │ ├── etcd │ └── Worker Nodes │ ├── 03. Core Objects │ ├── Pods │ ├── ReplicaSets │ ├── Deployments │ ├── StatefulSets │ ├── DaemonSets │ └── Jobs & CronJobs │ ├── 04. Networking │ ├── Services │ ├── ClusterIP │ ├── NodePort │ ├── LoadBalancer │ ├── Ingress │ └── Network Policies │ ├── 05. Storage │ ├── Volumes │ ├── Persistent Volumes │ ├── Persistent Volume Claims │ ├── Storage Classes │ ├── CSI Drivers │ └── Stateful Storage │ ├── 06. Configuration Management │ ├── ConfigMaps │ ├── Secrets │ ├── Environment Variables │ ├── Resource Limits │ ├── Resource Requests │ └── Namespaces │ ├── 07. Scaling & Reliability │ ├── Horizontal Pod Autoscaler │ ├── Vertical Pod Autoscaler │ ├── Cluster Autoscaler │ ├── Health Checks │ ├── Self-Healing │ └── High Availability │ ├── 08. Observability │ ├── kubectl │ ├── Logs │ ├── Metrics Server │ ├── Prometheus │ ├── Grafana │ └── OpenTelemetry │ ├── 09. Security │ ├── RBAC │ ├── Service Accounts │ ├── Network Policies │ ├── Pod Security Standards │ ├── Secrets Management │ └── Admission Controllers │ ├── 10. Kubernetes Ecosystem │ ├── Helm │ ├── ArgoCD │ ├── Istio │ ├── Kustomize │ ├── FluxCD │ └── cert-manager │ ├── 11. Production Kubernetes │ ├── CI/CD │ ├── GitOps │ ├── Multi-Cluster │ ├── Disaster Recovery │ ├── Cost Optimization │ └── Platform Engineering │ └── 12. Future of Kubernetes ├── AI Infrastructure ├── GPU Scheduling ├── Agentic Workloads ├── Edge Kubernetes └── Autonomous Clusters Most engineers learn Kubernetes commands. The best platform engineers learn how the entire cluster operates. ☸️🚀

KUBERNETES — MASTER TREE ☸️ Kubernetes │ ├── 01. Container Foundations │ ├── Docker Basics │ ├── Images │ ├── Containers │ ├── Registries │ ├── Docker Compose │ └── Container Networking │ ├── 02. Kubernetes Architecture │ ├── Control Plane │ ├── API Server │ ├── Scheduler │ ├── Controller Manager │ ├── etcd │ └── Worker Nodes │ ├── 03. Core Objects │ ├── Pods │ ├── ReplicaSets │ ├── Deployments │ ├── StatefulSets │ ├── DaemonSets │ └── Jobs & CronJobs │ ├── 04. Networking │ ├── Services │ ├── ClusterIP │ ├── NodePort │ ├── LoadBalancer │ ├── Ingress │ └── Network Policies │ ├── 05. Storage │ ├── Volumes │ ├── Persistent Volumes │ ├── Persistent Volume Claims │ ├── Storage Classes │ ├── CSI Drivers │ └── Stateful Storage │ ├── 06. Configuration Management │ ├── ConfigMaps │ ├── Secrets │ ├── Environment Variables │ ├── Resource Limits │ ├── Resource Requests │ └── Namespaces │ ├── 07. Scaling & Reliability │ ├── Horizontal Pod Autoscaler │ ├── Vertical Pod Autoscaler │ ├── Cluster Autoscaler │ ├── Health Checks │ ├── Self-Healing │ └── High Availability │ ├── 08. Observability │ ├── kubectl │ ├── Logs │ ├── Metrics Server │ ├── Prometheus │ ├── Grafana │ └── OpenTelemetry │ ├── 09. Security │ ├── RBAC │ ├── Service Accounts │ ├── Network Policies │ ├── Pod Security Standards │ ├── Secrets Management │ └── Admission Controllers │ ├── 10. Kubernetes Ecosystem │ ├── Helm │ ├── ArgoCD │ ├── Istio │ ├── Kustomize │ ├── FluxCD │ └── cert-manager │ ├── 11. Production Kubernetes │ ├── CI/CD │ ├── GitOps │ ├── Multi-Cluster │ ├── Disaster Recovery │ ├── Cost Optimization │ └── Platform Engineering │ └── 12. Future of Kubernetes ├── AI Infrastructure ├── GPU Scheduling ├── Agentic Workloads ├── Edge Kubernetes └── Autonomous Clusters Most engineers learn Kubernetes commands. The best platform engineers learn how the entire cluster operates. ☸️🚀