Search Results for "view"

Making SLOs with Prometheus manageable, accessible, and easy to use for everyone. When running Pyrra outside of Kubernetes, the SLO object can be provided through a YAML file read from the file system. For this, one container or binary needs to be started with the API argument and the reconciler with the filesystem argument. Here, Pyrra will save the generated recording rules to disk where they can be picked up by a Prometheus instance. While running Pyrra on its own works, there won't be...

...The Operator does this by watching Kubernetes for state changes and automatically triggering security scans in response. For example, a vulnerability scan is initiated when a new Pod is created. This way, users can find and view the risks that relate to different resources in a Kubernetes-native way. The Trivy Operator automatically generates and updates security reports. These reports are generated in response to new workload and other changes on a Kubernetes cluster.

...The scheduler's decisions, whether or where a pod can or can not be scheduled, are guided by its configurable policy which comprises of set of rules, called predicates and priorities. The scheduler's decisions are influenced by its view of a Kubernetes cluster at that point of time when a new pod appears for scheduling. As Kubernetes clusters are very dynamic and their state changes over time, there may be a desire to move already running pods to some other nodes for various reasons.

Helmsman is a Helm Charts (k8s applications) as Code tool that allows you to automate the deployment/management of your Helm charts from version-controlled code. Helmsman uses a simple declarative TOML file to allow you to describe a desired state for your k8s applications as in the example toml file. Alternatively YAML declaration is also an acceptable example YAML file. Helmsman sees what you desire, validates that your desire makes sense (e.g. that the charts you desire are available in...

...Instead of downloading entire layers upfront, it fetches file ranges on demand and maintains a content-addressed cache, yielding fast startup and lower bandwidth for large images. The system speaks registry protocols and understands layered image formats, resolving whiteouts and overlays so the mounted view matches what a container runtime would see. A FUSE (or platform-equivalent) frontend makes it trivial to integrate with existing tools: compilers, test runners, or debuggers can read files as if they were local. This lazy, verified access pattern is especially valuable in CI and developer workflows where you inspect or compile a few files from a massive base image. ...