LEMON BLOG

A recently identified vulnerability in Kubernetes is drawing attention from security professionals, particularly those managing cloud-native environments. According to findings outlined in , the issue affects the Kubernetes Container Storage Interface (CSI) Driver for NFS and could allow attackers to manipulate or even delete data beyond intended boundaries.

Kubernetes has always been powerful, but it's never been "simple." Even something as routine as extending tooling can turn into a small project: build the plugin, package it, ship it, worry about OS differences, CPU architecture, and how safely it runs in production.

For years, the Java conversation felt predictable. It was the "enterprise workhorse" language: reliable, widely deployed, and quietly running critical systems behind the scenes. But the latest numbers suggest something more interesting is happening. Java teams are making two moves at the same time: cutting ties with Oracle's Java distribution to reduce licensing pain, and leaning harder into Java to run AI in real production environments.

If you look at how companies in Malaysia are spending money in 2026, the pattern is pretty consistent: more cloud, more automation, more security, and a big push to "actually use AI" (not just talk about it). Randstad's Malaysia outlook for 2026 also calls out heavy AI adoption at work and continued demand for digital and AI skills as organisations modernise.

For the past year or two, a lot of big companies have been "trying out" AI coding assistants the same way they try out any new dev tool: a small pilot here, an optional experiment there, a few enthusiastic teams using it quietly while everyone else sticks to привычный workflows. That kind of cautious rollout made sense. Code is high-stakes: quality, security, maintainability, and team consistency matter more than novelty.