Routing Traffic to Transient Targets In Kubernetes, pods are temporary. They are created, scale up, crash, and get replaced. Each time a pod is recreated, it receives a new IP address. If you configure your application to talk to backend…
Executing the Orchestration Plan The control plane components are great at coordinating and planning. They decide which containers should run and where they should be placed. However, these decisions are just configurations saved in the etcd database. The API Server…
Placing Workloads Manually When managing multiple machines, resource allocation is a constant challenge. Some servers have specialized hardware like GPUs, some have high storage limits, and others are low-resource virtual machines. If you deploy a heavy analytics workload that requires…
The State Drift Problem When running virtual servers and networks, configurations degrade over time. Machines run out of memory, processes crash, and network connections drop. If an orchestrator only updated the system when you manually typed a command, you would…
The Central Database Bottleneck If you have multiple developer teams, automated scripts, and various controller agents all running inside a cluster, they need to read and update the cluster state. If all these entities could communicate directly with the etcd…
The Single Point of Database Failure If you run a single instance of etcd in your cluster, you have a single point of failure. The moment the VM hosting that database crashes, your control plane goes offline. You won’t be…
Storing Highly Dynamic Cluster State In a cluster running hundreds of containers across dozens of nodes, tracking the active configuration is a massive challenge. You have to store IP addresses, security keys, pod configurations, and scaling states somewhere. If you…
The Bloated Translator Problem When Kubernetes was first built, Docker was the only game in town. The early Kubernetes source code was hardcoded to talk directly to Docker. But Docker is an entire developer toolchain, not just a bare container…
The Bare-Metal Container Management Nightmare If you pack your application code into containers, you’ve solved the “works on my machine” problem. But running those containers at scale in production introduces a new kind of pain. Suppose you spin up a…
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