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KodeKloud

KodeKloud

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Hands‑on DevOps/Kubernetes/Linux training with practical labs and beginner‑friendly series.

Recent Posts

Ranking All Kubernetes Certifications by Career Impact
Video•Feb 27, 2026

Ranking All Kubernetes Certifications by Career Impact

The video ranks seven Kubernetes certifications by their career impact rather than difficulty, categorizing them into S, A, and D tiers. The Certified Kubernetes Administrator (CKA) and Certified Kubernetes Security Specialist (CKS) occupy the S tier, reflecting their universal demand in DevOps and security roles. The Certified Kubernetes Application Developer (CKAD) and Prometheus Certified Associate (PCA) sit in the A tier, offering solid value for developers and observability specialists. The entry‑level KCNA, Kubernetes and Cloud Native Security Associate (KCSA), and ISTIO Certified Associate (ICA) fall into the D tier, providing foundational knowledge but limited hiring leverage. The presenter emphasizes that “security is the biggest gap in Kubernetes hiring right now,” and that “CKA is the starting line for serious career impact.” He also notes that PCA is underrated despite every production cluster relying on Prometheus‑style monitoring. For professionals, targeting CKA and CKS maximizes resume visibility and salary potential, while employers can use these certifications as reliable signals of practical expertise. Training platforms like CodeCloud can streamline preparation for all seven exams.

By KodeKloud
Kubernetes 1.35 Features Explained: What’s New? (Timbernetes Release)
Video•Feb 25, 2026

Kubernetes 1.35 Features Explained: What’s New? (Timbernetes Release)

Kubernetes 1.35, dubbed “Timbernetes – The World Tree,” introduces five core enhancements that reshape workload orchestration. Native gang scheduling lets multiple pods be scheduled as a single unit, ideal for AI/ML training and batch jobs. In‑place pod resource updates and...

By KodeKloud
Why Your LLM Is Slow Despite High GPU Usage?
Video•Feb 18, 2026

Why Your LLM Is Slow Despite High GPU Usage?

The video explains why large language models (LLMs) can feel sluggish even when Nvidia GPUs appear fully utilized. It points to a hidden performance killer: context‑induced spillover, where the KV cache that stores conversation history competes with model weights for...

By KodeKloud
Stop Running Models Too Big for Your Mac (Memory Trap Explained)
Video•Feb 17, 2026

Stop Running Models Too Big for Your Mac (Memory Trap Explained)

Apple Silicon’s unified memory is often touted as a guarantee that any large language model will run smoothly on M‑series Macs, but the video reveals a hidden bottleneck: when RAM is exhausted, macOS swaps model data to the SSD, dramatically...

By KodeKloud