kubestriker VS kubernetes

TerraScan - Detect compliance and security violations across Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure. klum - Kubernetes Lazy User Manager Kyverno - Kubernetes Native Policy Management https://kyverno.io kiosk - kiosk office Multi-Tenancy Extension For Kubernetes - Secure Cluster Sharing & Self-Service Namespace Provisioning kube-bench - CIS Kubernetes Benchmark tool kube-hunter - Pentesting tool - Hunts for security weaknesses in Kubernetes clusters kube-who-can - Show who has RBAC permissions to perform actions on different resources in Kubernetes starboard - Kubernetes-native security toolkit Simulator - Kubernetes Security Training Platform - Focussing on security mitigation RBAC Lookup - Easily find roles and cluster roles attached to any user, service account, or group name in your Kubernetes cluster https://fairwinds.com Kubeaudit - kubeaudit helps you audit your Kubernetes clusters against common security controls Gangway - An application that can be used to easily enable authentication flows via OIDC for a kubernetes cluster Audit2rbac - Autogenerate RBAC policies based on Kubernetes audit logs Chartsec - Helm Chart security scanner kubestriker - Security Auditing tool Datree - CLI tool to prevent K8s misconfigurations by ensuring that manifests and Helm charts follow best practices as well as your organization’s policies Krane - Kubernetes RBAC static Analysis & visualisation tool Flaco - The Falco Project - Cloud-Native runtime security Clair - Vulnerability Static Analysis for Containers Anchore Cli - Coomand Line Interface built on top of anchore engine to manage and inspect images, policies, subscriptions and registries Project Quay - Container image registry designed to boost the security of your repositories via vulnerability scanning and tight access control Kubescape - Tool to test if Kubernetes is deployed securely according to multiple frameworks: regulatory, customized company policies and DevSecOps best practices, such as the NSA-CISA and the MITRE ATT&CK®

Other tools you can use are linux-bench, docker-bench, kube-bench, kube-hunter, kube-striker, Cloud Custodian, OVAL, and OS Query.

# Create python virtual environment $ python3 -m venv env # Activate python virtual environment $ source env/bin/activate # Clone this repository $ git clone https://github.com/vchinnipilli/kubestriker.git # Go into the repository $ cd kubestriker # Install dependencies $ pip install -r requirements.txt # Incase of prompt toolkit or selectmenu errors $ pip install prompt-toolkit==1.0.15 $ pip install -r requirements.txt # Gearing up Kubestriker $ python -m kubestriker # Result will be generated in the current working directory with the name of the target

I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.