Securing Your Kubernetes Deployments: Understanding Helm Misconfigurations and the Power of Scanning Helm has become the de-facto package manager for Kubernetes, simplifying the way we define, install, and upgrade even the most complex applications. With its templating engine and chart repositories like Artifact Hub, deploying applications is easier than ever. However, this convenience can sometimes lead to security oversights in the form of misconfigurations.
Recent research, such as the paper “Analyzing and Mitigating (with LLMs) the Security Misconfigurations of Helm Charts from Artifact Hub,” highlights the prevalence of these issues and explores innovative ways to address them.
Sometimes I forget that Helm just manages templates on top of Kubernetes. There are also “pitfalls” I used to run into.
When Helm installs or upgrades charts, the Kubernetes objects from the charts and/or dependencies are:
aggregated into a single set; then sorted by type followed by name; and then created/updated in that order The ordering of installed Kubernetes objects when using helm install or helm upgrade looks like this:
Jensen Huang recently stated that robotics have yet to have their “GPT moment”. What does that mean?
A cursory look at public robotics companies on the US stock exchange reveals the following players:
Public Robotics Companies Company Ticker Market Cap Description Tesla, Inc. NASDAQ: TSLA ~$800B (Large-Cap) Autonomous vehicles, humanoid robots (Optimus). Intuitive Surgical NASDAQ: ISRG ~$130B (Large-Cap) Medical robotics (da Vinci Surgical System). Fanuc Corp TYO: 6954 ~$30B (Large-Cap) Industrial robots and factory automation.