This multi-layered system, intricately designed, consists of three main segments - Built-in Resources, Aggregated APIs, and Custom Resources. Let's take a brief dive into these sections! ➡️ 𝘽𝙪𝙞𝙡𝙩-𝙞𝙣 𝙍𝙚𝙨𝙤𝙪𝙧𝙘𝙚𝙨 These include foundational elements like Pods, Nodes, and more. They act like the backbone of your K8s architecture. 🔸 Pods: These are the smallest deployable units in Kubernetes, encapsulating one or more containers. They provide a way to run and manage containers efficiently. 🔸 Nodes: The physical or virtual machines that form the cluster's infrastructure. Nodes host and run the pods, making them an essential part of the K8s ecosystem. ➡️ 𝘼𝙜𝙜𝙧𝙚𝙜𝙖𝙩𝙚𝙙 𝘼𝙋𝙄𝙨 Here we have the "apiservices", acting like connectors. They are quite versatile and are used for bridging gaps and connecting resources. 🔸 apiservices: These serve as endpoints for accessing aggregated resources that span multiple API groups. They enable seamless communic
𝐂𝐨𝐝𝐢𝐧𝐠 𝐩𝐚𝐭𝐭𝐞𝐫𝐧𝐬 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐨𝐮𝐫 “𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐦𝐚𝐩 𝐚 𝐧𝐞𝐰 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐭𝐨 𝐚𝐧 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐤𝐧𝐨𝐰𝐧 𝐩𝐫𝐨𝐛𝐥𝐞𝐦.” Here, gathered around 20 of these coding problem patterns that I believe can help anyone learn these beautiful algorithmic techniques and make a real difference in the coding interviews. The idea behind these patterns is that once you’re familiar with a pattern, you’ll be able to solve dozens of problems with it. So, without further ado, let me list all these patterns: 1. 𝐒𝐥𝐢𝐝𝐢𝐧𝐠 𝐖𝐢𝐧𝐝𝐨𝐰 2. 𝐈𝐬𝐥𝐚𝐧𝐝𝐬 (𝐌𝐚𝐭𝐫𝐢𝐱 𝐓𝐫𝐚𝐯𝐞𝐫𝐬𝐚𝐥) 3. 𝐓𝐰𝐨 𝐏𝐨𝐢𝐧𝐭𝐞𝐫𝐬 4. 𝐅𝐚𝐬𝐭 & 𝐒𝐥𝐨𝐰 𝐏𝐨𝐢𝐧𝐭𝐞𝐫𝐬 5. 𝐌𝐞𝐫𝐠𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐚𝐥𝐬 6. 𝐂𝐲𝐜𝐥𝐢𝐜 𝐒𝐨𝐫𝐭 7. 𝐈𝐧-𝐩𝐥𝐚𝐜𝐞 𝐑𝐞𝐯𝐞𝐫𝐬𝐚𝐥 𝐨𝐟 𝐚 𝐋𝐢𝐧𝐤𝐞𝐝𝐋𝐢𝐬𝐭 8. 𝐓𝐫𝐞𝐞 𝐁𝐫𝐞𝐚𝐝𝐭𝐡-𝐅𝐢𝐫𝐬𝐭 𝐒𝐞𝐚𝐫𝐜𝐡 9. 𝐓𝐫𝐞𝐞 𝐃𝐞𝐩𝐭𝐡 𝐅𝐢𝐫𝐬𝐭 𝐒𝐞𝐚𝐫𝐜𝐡 10. 𝐓𝐰𝐨 𝐇𝐞𝐚𝐩𝐬 11. 𝐒𝐮𝐛𝐬𝐞𝐭𝐬 12. 𝐌𝐨𝐝𝐢𝐟𝐢𝐞𝐝 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡
Each technique enables organizations to optimize Kubernetes usage and minimize expenses 𝟭. 𝗥𝗶𝗴𝗵𝘁-𝘀𝗶𝘇𝗶𝗻𝗴 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Analyze app resource usage, adjust CPU/memory as needed. Avoid over-provisioning to save costs 𝟮. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗡𝗼𝗱 & 𝗣𝗼𝗱 𝗔𝘂𝘁𝗼 𝗦𝗰𝗮𝗹𝗶𝗻𝗴: Enable cluster auto-scaling and use Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) to add or remove nodes / pods based on resource utilization, reducing idle costs 𝟯. 𝗣𝗼𝗱 𝗗𝗶𝘀𝗿𝘂𝗽𝘁𝗶𝗼𝗻 𝗕𝘂𝗱𝗴𝗲𝘁 (𝗣𝗗𝗕): Set up PDBs to control how many pods of a specific deployment or replica set can be down simultaneously during disruptions, ensuring high availability without overprovisioning 𝟰. 𝗡𝗼𝗱𝗲 𝗧𝗮𝗶𝗻𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗧𝗼𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Taint nodes for workload-specific delays, prioritize critical tasks on untainted nodes, and use cheaper tainted nodes for less critical tasks 𝟱. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗥𝗲𝗴𝗶𝘀𝘁𝗿𝘆 & 𝗜𝗺𝗮𝗴𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻:
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