T. Koffi

Skiperator is a Kubernetes operator that lets developers deploy applications through a simple Application resource while the platform handles secure and reliable setup around it ➤ ku.bz/T-j7BM-H3

Helm-exporter exports Helm releases, charts, and version statistics in the Prometheus format ➤ ku.bz/T9Y1Vh5Mn

10 Networking Tools Every Beginner Should Know • Ping – test connectivity • Traceroute – track packet paths • Netstat – inspect network connections • Wireshark – analyze packets • Nslookup – troubleshoot DNS • Curl – test APIs & endpoints • SSH – securely access servers • IPConfig / IFConfig – inspect network configs • Speedtest – measure bandwidth • Nmap – scan networks & ports You don’t need to memorize everything. Learn these tools → troubleshoot like a real engineer.

K8s Operators 🔥🔥

Kubernetes Pods 📦 Pods are the smallest deployable unit in Kubernetes and the foundation of every application running inside a cluster. → A Pod can run one or multiple containers → Containers inside a Pod share the same network and storage → Every Pod gets its own unique IP address → Pods can directly communicate with each other inside the cluster → Pods are ephemeral and can be replaced anytime → kubelet manages Pods on worker nodes → Deployments and ReplicaSets keep Pods running automatically → Multi-container Pods use the sidecar pattern for logging, monitoring, etc. → Services provide stable access to changing Pod IPs → Understanding Pods makes Kubernetes much easier to understand

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Nelm is meant to be a direct replacement for Helm 3, providing first-class Helm chart support yet improving on what Helm 3 offers Nelm is based on Helm 3 — some parts of it improved and some, like the deployment subsystem, are rewritten from scratch ➜ ku.bz/PXsCVWS96

AWS VPC Architecture 🏗️ Amazon VPC helps you build isolated, secure, and scalable networks inside AWS for running cloud applications reliably. → Public subnets expose internet-facing resources like Load Balancers → Private subnets securely host internal application servers → Isolated subnets protect sensitive databases from direct internet access → Internet Gateway enables communication between VPC and the internet → NAT Gateway allows private instances to access the internet securely → Route Tables control how network traffic flows inside the VPC → Security Groups act as stateful firewalls for EC2 instances → NACLs provide subnet-level traffic filtering and security → Multi-AZ deployment improves availability and fault tolerance → VPC Peering and Transit Gateway connect multiple networks securely

AWS SAA is not about memorizing 200 services. It’s about knowing which service to choose, when, and why. ☁️

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Just found this awesome free tool for generating Kubernetes diagrams automatically. KubeDiagrams turns your manifests, Helm charts, and even live clusters into clean architecture diagrams in seconds. → Generates diagrams from YAML, Helm, Helmfile, and Kustomize → Can visualize live cluster state → Supports custom resources → Exports to PNG, SVG, PDF, and draw.io → Free and open source Super useful for docs, onboarding, and understanding cluster architecture fast. Repo: github.com/philippemerle/…

🚨 OpenAI is officially on AWS. Yesterday (April 28, 2026), AWS and OpenAI announced a massive expansion to their partnership. It includes: → GPT-5.5 on Bedrock: Access frontier models via standard Bedrock APIs → Codex on AWS: Native coding agents for CLI and VS Code → Managed Agents: OpenAI-powered agents running inside your AWS VPC → Unified Billing: Usage counts toward your existing AWS cloud commitments → 0ms Egress: Eliminate data transfer fees between S3 and OpenAI/Azure You no longer have to choose between the best models and the best infrastructure. The Microsoft Azure exclusivity is officially over. Source: share.google/rM15XYWGgBtYU7…

Before appearing for an interview, understand the Kubernetes components. Master these fundamentals. 👇 Pod → The smallest deployable unit in Kubernetes; wraps one or more containers. Node → A machine (VM or physical) where pods are scheduled and run. Cluster → A set of nodes managed by a control plane. Deployment → Manages rolling updates and ensures desired number of pod replicas. ReplicaSet → Ensures a specified number of identical pods are running. StatefulSet → Used for stateful apps with persistent identity and storage. DaemonSet → Ensures a pod runs on all (or selected) nodes. Job → Runs pods that complete a task and then exit. CronJob → Schedules jobs at specific times (like cron). Service → Exposes a stable network interface to access pods. ClusterIP → Default service type; accessible only within the cluster. NodePort → Exposes service on a static port across all nodes. LoadBalancer → Exposes service externally via cloud provider LB. Ingress → Manages HTTP(S) routing to services. ConfigMap → Stores non-sensitive config data for pods. Secret → Stores sensitive data like API keys/passwords. Volume → Persistent storage attached to pods. PersistentVolume (PV) → Storage provisioned for the cluster. PersistentVolumeClaim (PVC) → Request for storage by a pod. Namespace → Logical separation of cluster resources. Kubelet → Agent on each node managing pod lifecycle. Kube-Proxy → Handles networking rules and traffic forwarding. API Server → Central control plane component for all communication. Controller Manager → Ensures desired state via background controllers. Scheduler → Assigns pods to nodes based on resources. cAdvisor → Collects resource usage metrics on nodes. etcd → Distributed key-value store for cluster data. Taints → Prevents pods from scheduling on certain nodes unless tolerated. Helm → Package manager for Kubernetes applications. Kubernetes Dashboard → Web UI for managing clusters. Follow for more !

7 O’Reilly FREE Books for Kubernetes 📚 1. Kubernetes Up & Running digtvbg.com/files/LINUX/Ku… 2. Kubernetes Operators oreilly.com/library/view/k… 3. Hacking Kubernetes book.huihoo.com/pdf/10-oreilly… 4. Cloud Native DevOps with Kubernetes oreilly.com/library/view/c… 5. Kubernetes Patterns oreilly.com/library/view/k… 6. Kubernetes Security and Observability oreilly.com/library/view/k… 7. GitOps Cookbook devopschina.org/wp-content/upl… Most of these are free via O’Reilly trial or community releases.

KUBERNETES (K8S) QUICK STRUCTURE kubernetes/ ├── fundamentals/ # Core concepts │ ├── architecture # Master, Node, Cluster │ ├── pods # Smallest deployable unit │ ├── services # Networking & exposure │ └── namespaces # Resource isolation │ ├── workloads/ # Running applications │ ├── deployments # Stateless apps │ ├── statefulsets # Stateful apps │ ├── daemonsets # Node-level workloads │ └── jobs # Batch processing │ ├── networking/ # Communication │ ├── cluster-ip # Internal access │ ├── nodeport # External access │ ├── loadbalancer # Cloud exposure │ └── ingress # HTTP routing │ ├── storage/ # Persistent data │ ├── volumes # Storage units │ ├── persistent-volumes # PV │ └── persistent-volume-claims # PVC │ ├── configuration/ # App configs │ ├── configmaps # Non-sensitive data │ └── secrets # Sensitive data │ ├── scaling/ # Auto scaling │ ├── hpa # Horizontal scaling │ └── autoscaling # Resource scaling │ ├── security/ # Cluster security │ ├── rbac # Access control │ ├── network-policies # Traffic control │ └── pod-security # Pod restrictions │ ├── observability/ # Monitoring │ ├── logging # Logs │ ├── metrics # Performance data │ └── tracing # Request tracing │ ├── devops/ # Deployment │ ├── helm # Package manager │ ├── ci-cd # Pipelines │ └── gitops # Declarative delivery │ ├── manifests/ # YAML configs │ ├── pod.yaml │ ├── deployment.yaml │ ├── service.yaml │ └── ingress.yaml │ ├── .gitignore # Ignored files ├── README # Documentation └── roadmap # Learning roadmap Master Kubernetes with this complete ebook: codewithdhanian.gumroad.com/l/jwjls

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Most developers “use APIs.” Very few understand how APIs actually power systems. That’s the difference between writing code… and building scalable products. Here’s how APIs really work 👇 APIs │ ├── Open APIs (External systems) │ ├── REST API │ │ ├── Weather data │ │ ├── Login/auth systems │ │ └── Product information │ │ │ ├── SOAP API │ │ ├── Bank transfers │ │ ├── Insurance claims │ │ └── Government records │ │ │ └── GraphQL API │ ├── Social feeds (Facebook, etc.) │ ├── GitHub stats │ └── Custom queries (fetch only what you need) │ ├── Internal APIs (Your system backbone) │ ├── Frontend ↔ Backend │ │ ├── Login requests │ │ ├── Profile fetch │ │ └── Live search │ │ │ ├── Backend ↔ Backend │ │ └── Microservices communication │ │ │ └── Service ↔ Database │ ├── User insert/update │ └── Reports & queries │ └── Partner APIs (Business integrations) ├── B2B Integrations │ ├── Payment gateways │ ├── Airline / hotel booking │ └── External service data │ ├── Affiliate Systems │ ├── Product links │ ├── Commission tracking │ └── Click analytics │ └── Data Sharing APIs ├── Health records ├── Finance data └── Logistics tracking Now the important part: Most people stop at “calling APIs.” But real engineers think like this: → Where does this API fit in the system? → Is it external, internal, or partner-level? → How does data flow between layers? → Can this scale when users grow 10x? Because in real-world applications: • Open APIs bring data • Internal APIs run your product • Partner APIs grow your business That’s how companies build: → SaaS platforms → Marketplaces → Fintech systems → Scalable products The shift is simple: Amateurs → Call endpoints Professionals → Design API architecture If you understand APIs like this, you don’t just build features… You build systems. ♻️ Repost to help someone