Kubernetes: Balancing Logic and Creativity

⚙️ Scaling systems isn’t just horizontal or vertical — it’s architectural. Recently focused on designing container-first deployments to keep systems efficient and predictable. Simple architecture = reliable performance. #Kubernetes #Containers #CloudNative #DevOps

🚀 Kubernetes Series — Part 2: Core Components of Kubernetes Architecture In Part 1, we explored why Kubernetes was introduced and how it helps manage microservices efficiently. Now, let’s go a bit deeper into how Kubernetes actually works behind the scenes ⚙️ Here are the key components and basic understanding that make Kubernetes so powerful 👇 🧩 Scheduler — Decides which pod should run on which node based on available CPU, RAM, and other resources. 📦 etcd — The brain of Kubernetes; a distributed key-value store that keeps track of all cluster data. 🔐 API Server — Acts as the communication hub; authenticates requests, updates cluster state, and coordinates between components. 🧠 Controller Manager — Ensures the cluster is always in the desired state by monitoring and restoring resources when needed. ⚙️ Kubelet — Runs on each node, ensuring containers are healthy and running as defined. 🌐 Service Proxy — Manages internal/external network communication between services and pods. 📸 The image below gives a visual breakdown of these interactions inside the Kubernetes Architecture. Stay tuned for Part 3 #Kubernetes #DevOps #Containers #Microservices #CloudNative #TechLearning

Master Serverless Architecture: A Developer’s 2025 Guide — Explore the ultimate guide for developers on mastering serverless architecture in 2025. Learn best practices, tools, and strategies for success. https://lnkd.in/dVAVQcr9 #2025Trends #BenefitsOfServerless #CloudArchitecture #CybersecurityBestPractices #Devops #SoftwareDevelopment

Kubernetes Architecture 🧭The Moment Kubernetes “Clicked” for Me When I first started working with Kubernetes, it felt like magic. Pods spun up, containers healed themselves, and deployments rolled out seamlessly. But the real aha! moment came when I finally understood the architecture behind the curtain — how all the moving parts communicate to make that magic possible. Kubernetes architecture is designed to automate the deployment, scaling, and management of containerized applications. At its heart, Kubernetes is built on two major layers: 🔹The Control Plane(Master Node) — the “brain” of the system The Master Node manages the Kubernetes cluster and makes global decisions about the cluster (e.g., scheduling), as well as detecting and responding to cluster events (e.g., starting up a new pod when a deployment’s replicas field is unsatisfied). ·API Server: the entry point for everything in the cluster It exposes the Kubernetes API, all operations (from users, CLI, or other components) interact with the API server. · etcd: where the truth of your cluster lives A distributed key-value store used for storing all cluster data, configuration, and state information. ·Scheduler: Assigns work (pods) to worker nodes based on resource availability. ·Controller Manager: Runs controller processes to regulate the state of the cluster (e.g., Replication Controller, Node Controller). 🔹Worker Nodes(Node) — the “hands” that get things done Nodes are the machines (virtual or physical) that run application workloads. ·Kubelet: ensures pods are running as expected An agent on each node that communicates with the API server and ensures containers are running as specified. ·Kube Proxy: manages service networking Handles network routing and enables services (abstraction for a group of pods) to be reachable. ·Container Runtime: executes your containers The software responsible for running containers (e.g., Docker, containerd, CRI-O). Once I saw how these components worked together, Kubernetes stopped feeling like a black box — and started feeling like a beautifully designed distributed system. If you’re new to Kubernetes, start by mapping these interactions. Once you grasp them, scaling and troubleshooting become so much clearer. 💬What was your biggest insight when you first dug into Kubernetes’ architecture? #Kubernetes #DevOps #KubernetesArchitecture #K8s

Lets dive into some microservices architecture 🛠️ Check out how CDN, Api gateways, load balancing, scaling, queue systems, and event-driven architecture come together to create a seamless flow 🚀 P.S. Don’t mind the grammar checks in the diagram – it’s just for my personal notes 😉  #Microservices #Architecture #TechStack #EventDriven #CDN #LoadBalancing #QueueSystems #DevOps #SoftwareDevelopment #CloudComputing #TechArchitecture #SystemDesign #ScalableSystems #Innovation #BackendEngineering #Backend #API #TechTrends

At Backblaze, their entire storage architecture is built on a simple idea: keep the design boring, predictable, and transparent. That’s why their engineers can trace failures fast, recover even faster, and operate massive storage systems without drowning in complexity. In DevOps, sometimes the smartest thing you can do… is build something simple enough that it never surprises you. How simple is your infrastructure, really? 👇 #DevOps #ServerScribe #Backblaze #CloudStorage #Reliability #EngineeringCulture

🚀 Demystifying Kubernetes Architecture! Kubernetes (K8s) is the backbone of modern cloud-native infrastructure — but have you ever wondered how it actually works behind the scenes? Here’s a quick breakdown 🧠 Control Plane (Master Node) This is the brain of Kubernetes — it makes all the decisions about what runs where. API Server – The gateway for all communication with the cluster. Scheduler – Decides which node a new pod should run on. Controller Manager – Watches the cluster’s state and ensures it matches the desired configuration. etcd – A distributed key-value store that holds the cluster’s configuration data. ⚙️ Worker Nodes These are the engines that run your applications. Kubelet – Ensures containers are running as expected. Kube Proxy – Manages network routing inside the cluster. Container Runtime (like Docker or containerd) – Actually runs the containers. 🧩Pods & Services Pods – Smallest deployable unit in K8s; can hold one or more containers. Services – Provide stable networking and load balancing for pods. The control plane continuously monitors, schedules, and manages workloads to keep your applications running seamlessly — even when things fail. Kubernetes = Automation + Scalability + Self-healing + Portability #Kubernetes #DevOps #CloudComputing #Containers #DevOpsEngineering #CloudNative

Source: https://lnkd.in/dhAFRZhX 🚀 Modularity is the Key to Scalable Systems Reading this deep dive on modularity made me realize how critical it is for both engineers and managers. 🧠 Whether you’re building a monolith or microservices, clear boundaries and loose coupling are non-negotiable. 💡 Constrained microservices (microliths) are a game-changer—no cross-service calls during external requests! It’s like having a safety net for distributed systems. 🛡️ But don’t overlook the simplicity of modular monoliths; they’re perfect for small teams or evolving domains. 📌 Pro tip: Prioritize modularity early. It saves time, reduces risk, and makes scaling easier. #Architecture #DevOps #SoftwareDesign

If you're working with containers—or considering it—grasping the why behind Docker’s architecture is just as important as knowing the how. This post breaks down foundational concepts: Images vs. Containers: Why immutability matters for consistency and scalability Volumes: How persistent storage keeps your data intact across container refreshes Stacks, Swarms & Services: What happens when you move from local development to orchestrated production environments Docker vs. Virtual Machines: What you're trading off in flexibility vs. isolation Understanding these core ideas makes it easier to reason about modern DevOps, system design, and deployment workflows. #Docker #DevOps #Containers #CodeDeployment #RheinwerkComputingBlog #RheinwerkComputingInfographic 👉Read the blog to get a clear, practical start: https://hubs.la/Q03Q3LHF0

🚀 Deep Dive: The Real Architecture of Kubernetes Kubernetes isn’t just about running Pods and Services. It’s a complete self-healing system built around desired state, control loops, and eventual consistency 👇 🧠 Control Plane — The Brain of the Cluster API Server: the main entry point for all cluster communication etcd: database that stores every detail about your cluster (Pods, Secrets, ConfigMaps, etc.) Controller Manager: watches the cluster and fixes differences between what should happen and what is happening Scheduler: decides which Node should run each Pod — using rules like topology (zone & resource balance), affinity (which Pods prefer to stay together), and taints/tolerations (which Pods can or can’t run on specific Nodes) ⚙️ Node Components — The Workers Kubelet: makes sure the containers on each Node match what the Control Plane asked for Kube-Proxy: handles networking and routing between Services and Pods Container Runtime (containerd / CRI-O): actually runs the containers 🌐 Networking & Services — The Nervous System CNI Plugins (Calico, Cilium, Flannel): connect Pods across Nodes and apply network rules CoreDNS: helps Pods find each other inside the cluster Ingress: exposes internal Services to the outside world safely and efficiently 🧩 Eventual Consistency — The Secret Sauce Kubernetes doesn’t fix everything instantly — instead, it keeps checking and correcting until your cluster matches the desired state. That’s what makes it resilient, stable, and production-ready. 💡 Once you understand how the Control Plane and Nodes constantly talk and correct each other, Kubernetes stops feeling like a black box — and starts feeling like an elegant distributed system. #Kubernetes #DevOps #CloudNative #Containers #Infrastructure #SystemDesign #SRE