Top 10 Kubernetes Deployment Errors | Kaptain

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Kaptain

#Kubernetes #Docker #DistributedSystems

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🔍 Inside this Issue

Kubernetes tightened its bolts—pod-level limits go default, block-change snapshots land, and Databricks rewires load balancing to go proxyless. Meanwhile, Fluent Bit dethrones Fluentd, edge goes prime time, and even Rancher’s founders pivot to agentic AI—details inside if you’re hungry for leverage.

💾 Announcing Changed Block Tracking API support (alpha)
🔄 Fluentd to Fluent Bit: A Migration Guide
🧠 Intelligent Kubernetes Load Balancing at Databricks
🛰️ KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Kubernetes on Edge Day
🧯 Top 10 Kubernetes Deployment Errors: Causes and Fixes (And Tips)
📦 v1.34: Pod Level Resources Graduated to Beta
🧭 Why Rancher's Founders Pivoted From Kubernetes to Agentic AI

You’ve got fresh edges and fewer footguns—go make something unreasonably good.

Have a great week!
FAUN.dev Team

ℹ️ News, Updates & Announcements

faun.dev

Akuity Launches AI Tools to Boost Kubernetes Management Efficiency ^✅

Akuity introduces AI-driven features to improve Kubernetes management, enhancing stability, security, and scalability while automating issue detection and resolution.

kubernetes.io

Announcing Changed Block Tracking API support (alpha)

Kubernetes just rolled out alpha support for a Changed Block Tracking (CBT) API. CSI drivers can now spot only the blocks that changed between snapshots—no more crawling entire volumes. Big win for backup speed.

One catch: it’s limited to block volumes. File-based volumes are still left out.

kubernetes.io

v1.34: Pod Level Resources Graduated to Beta

Kubernetes v1.34 bumps Pod Level Resources to Beta—and flips them on by default. Now you can set CPU, memory, and hugepages limits for the whole Pod, not just per container. That means smoother scheduling, stricter resource caps, and less sidecar thrashing.

Why it matters: This shifts Kubernetes closer to true Pod-level thinking. It’s a cleaner model for resource planning and avoids the mess of micro-managing every container.

cncf.io

KubeCon + CloudNativeCon North America 2025 Co-Located Event Deep Dive: Kubernetes on Edge Day

The inaugural Edge Day launched as a co-located event at KubeCon + CloudNativeCon EU in 2022, focusing on edge computing and the evolution from centralized data centers to the network edge. The event brings together academic research, enterprise use cases, and insights from the Kubernetes community. Attendees can expect a mix of featured sessions, networking opportunities, and discussions on topics like artificial intelligence at the edge and observability at scale for edge systems.

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🔗 Stories, Tutorials & Articles

databricks.com

Intelligent Kubernetes Load Balancing at Databricks

Databricks replaced default Kubernetes load balancing for a proxyless, client-side gRPC setup, wired up through a custom control plane. No more CoreDNS. No more kube-proxy. Clients now get live endpoint discovery through xDS, plus smarter routing tricks like Power of Two Choices and zone-aware routing.

cncf.io

Fluentd to Fluent Bit: A Migration Guide

Fluent Bit just edged out Fluentd as the CNCF’s go-to log processor. Why? It's fast—up to 40× faster. Built in C. Embedded plugins. Native OpenTelemetry. Full observability baked in.

It handles routing, schema changes, and telemetry across containers and edge systems without flinching. No Ruby here—just lean, efficient C.

thenewstack.io

Why Rancher's Founders Pivoted From Kubernetes to Agentic AI

Obot.ai just dropped out of stealth with $35M in seed and a big swing: it’s building a control plane for agentic AI, anchored on the now-standard Model Context Protocol (MCP).

Its MCP Gateway handles registry, secure proxying, RBAC, and observability for MCP servers. Think API gateway, but for LLM agents.

On top of that, the Nanobot framework lets teams define secure, interactive agents in YAML—declarative by design, like IaC for AI behavior.

System shift: It feels a lot like the early days of API gateways and K8s operators - bare metal turns into managed mesh. Governance moves from "afterthought" to "baked-in."

thenewstack.io

Top 10 Kubernetes Deployment Errors: Causes and Fixes (And Tips)

Misconfigured YAML. Broken image refs. Botched resource settings. Most Kubernetes deploys don't fail mysteriously—they fail predictably.

This guide breaks down the top 10 culprits: things like CrashLoopBackOff, bad image pulls, and OOMKills. More importantly, it shows how to dodge them with better habits: lint your YAML, tune your resource limits, and keep an eye on your cluster with live monitors.

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⚙️ Tools, Apps & Software

github.com

latacora/replik8s

A modern open-source Kubernetes auditing and investigation tool

github.com

wayuissocool/docker-prometheus

Docker Prometheus: a lightweight Prometheus container for fast monitoring and metrics collection. Deploy easily and scale observability across Kubernetes, Compose, and Swarm.

github.com

rafsaf/ogion

A tool for performing scheduled database backups and transferring encrypted data to secure clouds, for home labs, hobby projects, etc., in environments such as k8s, docker, vms.

github.com

some-natalie/kubernoodles

k8s runners for Actions in the enterprise, made for humans

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🤔 Did you know?

Did you know the AWS VPC CNI gives each pod a real VPC IP by adding secondary addresses to the node’s ENI, triggering EC2 API calls on pod launches? In prefix mode, it requests a /28 per ENI and assigns up to 16 pod IPs locally - cutting API churn and cold-start lag. You can tune this with WARM_PREFIX_TARGET to prefetch prefixes and avoid throttling.

😂 Meme of the week

🤖 Once, SenseiOne Said

"By design, Kubernetes restarts and reschedules away failures; the same features erase causality when you go looking. Autoscaling can outpace your timeouts and retries, quietly trading throughput for tail latency. If you can’t name your idempotency and quorum boundaries, your cluster will oscillate no matter how many nodes you add."
— SenseiOne

(*) SenseiOne is FAUN.dev’s work-in-progress AI agent

👤 This Week's Human

This week, we’re highlighting Shrey Shah, an AI agent developer and Cursor Ambassador with five years of building with AI—from early GitHub Copilot to running workshops on prompting, evals, and agent workflows. At Vivun, he’s a Senior Software Engineer | AI, shipping knowledge‑graph recommendations, vector search, and scalable agents grounded in tight test harnesses and iterative evals.

💡 Engage with FAUN.dev on LinkedIn — like, comment on, or share any of our posts on LinkedIn — you might be our next “This Week’s Human”!

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Kaptain #497: Top 10 Kubernetes Deployment Errors
Legend: ✅ = Editor's Choice / ♻️ = Old but Gold / ⭐ = Promoted / 🔰 = Beginner Friendly

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