{"id":4908,"date":"2026-10-16T00:31:36","date_gmt":"2026-10-15T19:01:36","guid":{"rendered":"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/"},"modified":"2026-10-16T00:31:36","modified_gmt":"2026-10-15T19:01:36","slug":"what-is-kubernetes-the-ultimate-guide-to-k8s-basics","status":"publish","type":"post","link":"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/","title":{"rendered":"What is Kubernetes? The Ultimate Guide to K8s Basics"},"content":{"rendered":"<p>The smell of ozone is the only thing that\u2019s stayed the same. In 2008, it meant a capacitor had finally given up the ghost on a Dell PowerEdge R710. It was a sharp, metallic scent that cut through the recycled air of the data center, usually accompanied by the frantic, high-pitched whine of a 15k RPM SAS drive trying to spin up for the last time. I remember the cold. Not the &#8220;turn up the thermostat&#8221; cold, but the bone-deep chill of a room designed for machines, where the floor tiles rattled under the weight of racks filled with Xeon E5-2600 series processors.<\/p>\n<p>I was standing in Row 4, Tile 12, when the PERC 6\/i controller decided it didn&#8217;t want to live anymore. The amber light on the front of the chassis wasn&#8217;t just a status indicator; it was a personal insult. I had to physically pull the drive, feel the heat radiating off the metal casing, and slide in a replacement. There was a click. A mechanical, tactile confirmation that the hardware was seated. I watched the rebuild progress in the BIOS\u2014not through a web-based dashboard with rounded corners and &#8220;user-friendly&#8221; progress bars, but through white text on a blue background. It took fourteen hours. I stayed for all of them. I knew exactly where my data lived. I knew which copper trace it was traveling across. I owned the uptime because I could touch the failure.<\/p>\n<p>Now? Now I\u2019m staring at a YAML file that\u2019s four hundred lines long, trying to figure out why a virtual network interface that doesn\u2019t exist on a physical plane can\u2019t talk to a database that\u2019s actually just a distributed consensus algorithm running on someone else\u2019s hardware in Northern Virginia. We\u2019ve traded the soldering iron for the abstraction layer, and we\u2019re all poorer for it.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6ad2511487a00\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6ad2511487a00\"  aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_Great_Virtualization_Swindle\" >The Great Virtualization Swindle<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_Death_of_the_Script_and_the_Rise_of_the_Monolith\" >The Death of the Script and the Rise of the Monolith<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_Networking_Stack_A_Descent_into_CNI_Hell\" >The Networking Stack: A Descent into CNI Hell<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_YAML_Purgatory\" >The YAML Purgatory<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#Why_the_Scheduler_is_Not_Your_Friend\" >Why the Scheduler is Not Your Friend<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_etcd_Heart_of_Darkness\" >The etcd Heart of Darkness<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#Serverless_The_Ultimate_Lie\" >Serverless: The Ultimate Lie<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#The_Sound_of_the_Next_Shiny_Object\" >The Sound of the Next Shiny Object<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/#Related_Articles\" >Related Articles<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"The_Great_Virtualization_Swindle\"><\/span>The Great Virtualization Swindle<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The rot started with the hypervisor. At first, it seemed like a good deal. &#8220;Consolidate your workloads,&#8221; they said. &#8220;Stop wasting those Xeon cycles.&#8221; So we took our perfectly functional bare-metal installs and shoved them into VMDKs. We thought we were being efficient. What we were actually doing was signing a suicide pact with complexity.<\/p>\n<p>In the old days, if a process went rogue, I\u2019d <code>top<\/code> it, find the PID, and kill it. If the machine was sluggish, I\u2019d check the physical RAM sticks. With virtualization, we introduced the &#8220;noisy neighbor.&#8221; Suddenly, my application\u2019s performance was dependent on some other guy\u2019s poorly written SQL query three virtual machines over. We lost the one-to-one mapping of soul to silicon. We started talking about &#8220;vCPUs&#8221; as if they were real things. They aren&#8217;t. They\u2019re just time-slices on a scheduler that\u2019s trying to juggle too many balls.<\/p>\n<p>I remember the first time I saw a VM migration fail. The &#8220;vMotion&#8221; magic trick. The idea that you could move a running OS across a network link without dropping a packet. It worked, until it didn&#8217;t. A slight hiccup in the 10GbE switch, a minor latency spike on the SAN, and suddenly you had a corrupted filesystem and a kernel panic that left no logs because the virtual disk was in limbo. We traded the reliability of a physical backplane for the &#8220;flexibility&#8221; of a software-defined nightmare.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Death_of_the_Script_and_the_Rise_of_the_Monolith\"><\/span>The Death of the Script and the Rise of the Monolith<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Then came the transition from <code>init.d<\/code> to <code>systemd<\/code>. This was the first real step toward the &#8220;black box&#8221; philosophy that dominates the industry today. I used to write my own init scripts. They were bash. They were ugly, sure, but I could read them. I knew exactly what happened when I typed <code>\/etc\/init.d\/httpd start<\/code>. I knew which environment variables were being set, which user was being su-ed into, and where the PID file was being written.<\/p>\n<p>Then <code>systemd<\/code> arrived and told me that I didn&#8217;t need to know those things. It told me to write a <code>.service<\/code> file and let the binary take care of the rest. Logs moved from plain text files in <code>\/var\/log<\/code>\u2014files I could <code>grep<\/code>, <code>awk<\/code>, and <code>sed<\/code> until my heart was content\u2014into a binary format that required <code>journalctl<\/code> just to read. If the journal was corrupted? Good luck. You\u2019re not reading those logs. You\u2019re just staring at a screen hoping the &#8220;magic&#8221; fixes itself.<\/p>\n<p>This was the beginning of the end for the systems engineer. We stopped being mechanics and started being librarians for opaque binaries. We stopped understanding how the process interacted with the kernel and started worrying about whether our &#8220;unit file&#8221; had the right dependencies. It was the first layer of the shroud that would eventually become the cloud.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Networking_Stack_A_Descent_into_CNI_Hell\"><\/span>The Networking Stack: A Descent into CNI Hell<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If you want to see a grown man cry, ask him to explain his Container Network Interface (CNI) setup in a production environment. In the bare-metal days, networking was simple. You had a NIC. You had an IP. You had a gateway. You had <code>iptables<\/code>. If a packet didn&#8217;t get where it was going, you used <code>tcpdump<\/code> on the interface and you saw exactly where it died.<\/p>\n<p>Now, we have layers of encapsulation that would make a Russian nesting doll blush. We have VXLAN, Geneve, and GRE tunnels wrapped inside each other. When a packet leaves a container, it doesn&#8217;t just go to a wire. It goes to a virtual bridge, which hits an <code>iptables<\/code> NAT rule, which might get encapsulated into a VXLAN packet, which then travels across a physical network to another host, where it\u2019s decapsulated, run through another set of <code>iptables<\/code> rules, and finally delivered to a pod.<\/p>\n<p>I\u2019ve spent weeks debugging <code>iptables<\/code> vs <code>IPVS<\/code> in large clusters. <code>iptables<\/code> was never meant to handle twenty thousand rules. When you get to that scale, the sequential evaluation of rules turns your CPU into a space heater. So we move to <code>IPVS<\/code>, which uses hash tables. Great. Now, instead of a readable list of rules, you have a kernel-level load balancer that is virtually impossible to inspect without specialized tools. <\/p>\n<p>Listen, kid, if you&#8217;re asking me <strong>what is<\/strong> a CNI, you&#8217;ve already lost the plot. It\u2019s a desperate attempt to give an IP address to something that shouldn&#8217;t exist for more than five minutes. It\u2019s a way to pretend that we still have a network when all we really have is a series of software hacks held together by hope and bad documentation. You\u2019re not routing packets; you\u2019re managing a hallucination.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_YAML_Purgatory\"><\/span>The YAML Purgatory<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>And then there\u2019s Kubernetes. The &#8220;operating system of the cloud.&#8221; Or, as I call it, the world\u2019s most expensive way to run a web server. We\u2019ve reached a point where we don&#8217;t even write code anymore; we just write YAML. We spend our days indenting lines and praying that we didn&#8217;t accidentally use a tab instead of two spaces.<\/p>\n<p>I\u2019m currently looking at a cluster running version 1.29.2. It\u2019s supposed to be the &#8220;stable&#8221; release. Yet, here I am, at 3:00 AM, looking at a pod that refuses to start. The developer tells me &#8220;it worked on my machine.&#8221; Of course it did. His machine isn&#8217;t trying to pull a 2GB image over a throttled internal registry link while the CNI is having a stroke.<\/p>\n<p>Here is what my life looks like now. This is the &#8220;modern&#8221; experience:<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ kubectl get events -n kube-system\nLAST SEEN   TYPE      REASON             OBJECT                                 MESSAGE\n4m22s       Warning   Failed             pod\/coredns-78fcdf6894-jm28n           Error: ImagePullBackOff\n2m15s       Normal    BackOff            pod\/coredns-78fcdf6894-jm28n           Back-off pulling image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;\n12s         Warning   Failed             pod\/coredns-78fcdf6894-jm28n           Failed to pull image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: rpc error: code = Unknown desc = failed to pull and unpack image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: failed to resolve reference &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: failed to do request: Head &quot;https:\/\/registry.k8s.io\/v2\/coredns\/coredns\/manifests\/v1.11.1&quot;: dial tcp 142.250.190.48:443: i\/o timeout\n<\/code><\/pre>\n<p>I run a <code>describe<\/code> because I love punishing myself:<\/p>\n<pre class=\"codehilite\"><code class=\"language-bash\">$ kubectl describe pod coredns-78fcdf6894-jm28n -n kube-system\nName:                 coredns-78fcdf6894-jm28n\nNamespace:            kube-system\nPriority:             2000000000\nPriority Class:       system-cluster-critical\nService Account:      coredns\nNode:                 node-01\/10.0.0.15\nStart Time:           Tue, 14 May 2024 02:10:45 -0400\nLabels:               k8s-app=kube-dns\n                      pod-template-hash=78fcdf6894\nAnnotations:          &lt;none&gt;\nStatus:               Pending\nIP:                   \nIPs:                  &lt;none&gt;\nControlled By:        ReplicaSet\/coredns-78fcdf6894\nContainers:\n  coredns:\n    Container ID:  \n    Image:         registry.k8s.io\/coredns\/coredns:v1.11.1\n    Image ID:      \n    Port:          53\/UDP\n    Host Port:     0\/UDP\n    Args:\n      -conf\n      \/etc\/coredns\/Corefile\n    State:          Waiting\n      Reason:       ImagePullBackOff\n    Ready:          False\n    Restart Count:  0\n    Limits:\n      memory:  170Mi\n    Requests:\n      cpu:        100m\n      memory:     70Mi\n...\nEvents:\n  Type     Reason     Age                From               Message\n  ----     ------     ----               ----               -------\n  Normal   Scheduled  5m                 default-scheduler  Successfully assigned kube-system\/coredns-78fcdf6894-jm28n to node-01\n  Normal   Pulling    3m (x3 over 5m)    kubelet            Pulling image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;\n  Warning  Failed     3m (x3 over 5m)    kubelet            Failed to pull image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: rpc error: code = Unknown desc = failed to pull and unpack image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: failed to resolve reference &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;: failed to do request: Head &quot;https:\/\/registry.k8s.io\/v2\/coredns\/coredns\/manifests\/v1.11.1&quot;: dial tcp 142.250.190.48:443: i\/o timeout\n  Warning  Failed     3m (x3 over 5m)    kubelet            Error: ErrImagePull\n  Normal   BackOff    2m (x6 over 5m)    kubelet            Back-off pulling image &quot;registry.k8s.io\/coredns\/coredns:v1.11.1&quot;\n  Warning  Failed     15s (x20 over 5m)  kubelet            Error: ImagePullBackOff\n<\/code><\/pre>\n<p>Look at that. <code>ImagePullBackOff<\/code>. A timeout. Why? Is the registry down? No. Is the node\u2019s DNS broken? Maybe, but wait\u2014this <em>is<\/em> the DNS pod. We have a circular dependency in our infrastructure. The thing that resolves names can\u2019t start because it can\u2019t resolve the name of the place where its image lives. This is the &#8220;intelligence&#8221; of the modern orchestrator. It\u2019s a dog chasing its own tail in a dark room, and I\u2019m the one who has to clean up the mess.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Why_the_Scheduler_is_Not_Your_Friend\"><\/span>Why the Scheduler is Not Your Friend<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>In the bare-metal world, I decided where things went. I had a spreadsheet. Server A ran the database. Server B ran the web server. If Server A was getting hammered, I knew exactly which physical CPU was sweating.<\/p>\n<p>In Kubernetes, we have the &#8220;Scheduler.&#8221; It\u2019s a black box that looks at resource requests and limits and decides where to place your pods. It sounds great on paper. In practice, it\u2019s a disaster. The scheduler doesn&#8217;t know that Node 04 has a slightly flaky NIC. It doesn&#8217;t know that Node 07 is physically located in a rack that\u2019s currently undergoing a cooling failure. It just sees &#8220;available capacity&#8221; and dumps the workload there.<\/p>\n<p>Then there are &#8220;Requests&#8221; and &#8220;Limits.&#8221; This is the ultimate lie. We tell the scheduler that a pod &#8220;requests&#8221; 100m of CPU but can &#8220;limit&#8221; to 2000m. What happens when every pod on the node suddenly decides it needs its limit? The kernel starts throttling. Your application\u2019s latency spikes from 10ms to 500ms, and you have no idea why because the &#8220;average CPU usage&#8221; on your dashboard looks fine. You\u2019re being suffocated by the abstraction. You\u2019re fighting a ghost in the machine that you didn&#8217;t even invite.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_etcd_Heart_of_Darkness\"><\/span>The etcd Heart of Darkness<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>At the center of this whole circus is <code>etcd<\/code>. It\u2019s a key-value store that uses the Raft consensus algorithm. It is the single point of failure for the entire cluster. If <code>etcd<\/code> goes down, your cluster is a vegetable. If <code>etcd<\/code> gets slow, your cluster starts hallucinating.<\/p>\n<p>I have spent more nights than I care to admit trying to restore <code>etcd<\/code> from a snapshot. Have you ever tried to fix a corrupted <code>db<\/code> file at 4:00 AM? It\u2019s like performing heart surgery on a patient who is currently exploding. You have to stop all the API servers, find the most recent consistent snapshot, and hope to God that the member IDs match up when you try to bring the cluster back online.<\/p>\n<p>The latency requirements for <code>etcd<\/code> are insane. If your disk seek time increases by a few milliseconds, <code>etcd<\/code> starts complaining about &#8220;failing to send heartbeats on time.&#8221; Then the leader election starts. Then the whole cluster stops accepting writes. All because you\u2019re running on &#8220;cloud-optimized&#8221; storage that isn&#8217;t actually fast enough to handle a consistent write-ahead log. I miss the days when a database was a file on a local disk, not a distributed existential crisis.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Serverless_The_Ultimate_Lie\"><\/span>Serverless: The Ultimate Lie<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>If Kubernetes is a circus, &#8220;Serverless&#8221; is a magic show where the magician just hides the rabbit in his pocket and tells you it disappeared. &#8220;No servers to manage!&#8221; the marketing fluff screams. <\/p>\n<p>There are always servers. You just don&#8217;t have the SSH keys to them. <\/p>\n<p>Serverless is the final admission of defeat. It\u2019s saying, &#8220;I give up. I don&#8217;t want to know how the computer works. Just take my code and run it.&#8221; But when your Lambda function takes 5 seconds to start because of a &#8220;cold start&#8221; (which is just a fancy way of saying &#8220;we had to spin up a container because we weren&#8217;t actually ready for you&#8221;), you have no recourse. You can&#8217;t tune the kernel. You can&#8217;t check the connection pool. You can&#8217;t do anything but sit there and pay the bill.<\/p>\n<p>It\u2019s the ultimate vendor lock-in. You\u2019re not building a system; you\u2019re building a dependency. You\u2019re writing code that only works in one specific environment, managed by one specific company, and if they decide to change the pricing or the runtime version, you\u2019re stuck. You\u2019ve traded your sovereignty for the illusion of simplicity.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"The_Sound_of_the_Next_Shiny_Object\"><\/span>The Sound of the Next Shiny Object<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>I can hear it coming. The next wave of &#8220;innovation.&#8221; Maybe it\u2019s &#8220;AI-driven infrastructure&#8221; or &#8220;WebAssembly on the Edge.&#8221; It doesn&#8217;t matter what they call it. It\u2019ll be another layer of YAML, another set of abstractions, and another way to move us further away from the hardware.<\/p>\n<p>They\u2019ll tell you it\u2019s &#8220;faster.&#8221; They\u2019ll tell you it\u2019s &#8220;more scalable.&#8221; They\u2019ll use words that sound like they came out of a brochure for a luxury spa. But it won&#8217;t be better. It\u2019ll just be more complicated. It\u2019ll be more things to break in ways you can\u2019t see.<\/p>\n<p>I\u2019m tired. I\u2019m tired of debugging networks that don&#8217;t exist. I\u2019m tired of reading logs that are stored in binary formats. I\u2019m tired of explaining to twenty-somethings that you can&#8217;t just &#8220;scale&#8221; your way out of a bad algorithm. <\/p>\n<p>One of these days, the &#8220;cloud&#8221; is going to have a real bad day. Not a &#8220;one region is down&#8221; bad day, but a &#8220;the underlying abstractions have become so tangled that nobody knows how to untie the knot&#8221; bad day. And when that happens, I\u2019ll be in my basement, staring at my old R710. It\u2019s loud, it\u2019s heavy, and it uses more power than a small village. But when I press the power button, I know exactly what\u2019s going to happen. <\/p>\n<p>I can hear the fans spin up. I can smell the ozone. And for a second, I\u2019m back in control. <\/p>\n<p>Don&#8217;t get comfortable. The next &#8220;shiny object&#8221; is already being polished, and it\u2019s designed to make sure you never touch a piece of hardware again. They want you to be a consumer of &#8220;compute,&#8221; not a master of machines. Resist it. Learn the stack. Understand the kernel. Because when the magic stops working\u2014and it always stops working\u2014you\u2019re the one who\u2019s going to be left in the dark, staring at a &#8220;Pending&#8221; status on a screen that doesn&#8217;t care about your uptime.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Related_Articles\"><\/span>Related Articles<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Explore more insights and best practices:<\/p>\n<ul>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/is-machine-learning-ai-understanding-the-key-differences\/\">Is Machine Learning Ai Understanding The Key Differences<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/python-best-practices-guide\/\">Python Best Practices Guide<\/a><\/li>\n<li><a href=\"https:\/\/itsupportwale.com\/blog\/10-javascript-best-practices-every-developer-should-know\/\">10 Javascript Best Practices Every Developer Should Know<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The smell of ozone is the only thing that\u2019s stayed the same. In 2008, it meant a capacitor had finally given up the ghost on a Dell PowerEdge R710. It was a sharp, metallic scent that cut through the recycled air of the data center, usually accompanied by the frantic, high-pitched whine of a 15k &#8230; <a title=\"What is Kubernetes? The Ultimate Guide to K8s Basics\" class=\"read-more\" href=\"https:\/\/itsupportwale.com\/blog\/what-is-kubernetes-the-ultimate-guide-to-k8s-basics\/\" aria-label=\"Read more  on What is Kubernetes? The Ultimate Guide to K8s Basics\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4908","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is Kubernetes? 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