Name: Let's Deploy : kyverno
Uploaded: 2022-01-07T12:35:36.000Z
Duration: 52 min 13 s
Description: Let's Deploy : kyverno

Help Desk

Web and Video Conferencing

Customer Support

Version Control

Development

Alumni Management

Education

Business Intelligence (BI)

Collaboration

Contract Management

Enterprise Legal Management

Policy Management

Project Portfolio Management

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

HR Service Delivery

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Converged Network Adapters (CNAs)

Data Catalog

Data Center Networking

Data Integration

Database Load Balancing

Density-Optimized Servers

Fraud Detection

Integration Platform as a Service (iPaaS)

Managed DNS

Managed File Transfer (MFT)

Managed Hosting

Mobile Application Performance Monitoring  (APM)

Mobile Device Management (MDM)

Network Diagnostics

Network Performance Monitoring

NoSQL Databases

Observability

Server Management

Time Series Databases

Unified Endpoint Management (UEM)

Information Technology

A/B Testing

Account-Based Marketing (ABM)

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Content Management

Contest Management

Customer Journey Analytics

Digital Asset Management

Email Marketing

Marketing Analytics

Marketing Automation

Mobile Advertising

Mobile Analytics

Press Release Management

Product Information Management (PIM)

Social Media Analytics

Social Media Management

Survey & Forms Building

Video Collaboration

Web Analytics

Marketing

Project Management

Wireframing

Professional Services

Call Recording

Customer Communication Management

Customer Relationship Management (CRM)

Presales

Sales

Civil Engineering

Construction Workforce Management

Dental

Loan Servicing

Patient Engagement

Revenue Cycle Management (RCM)

Vertical-Specific

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Kubernetes

Amazon Elastic Kubernetes Service (EKS)

Amazon AWS

IBM Cloud Kubernetes Service

Portainer

Mirantis Kubernetes Engine

Mirantis

Google Kubernetes Engine

Google

Azure Kubernetes Service (AKS)

Microsoft

Amazon Elastic Container Service (Amazon ECS)

Red Hat OpenShift on IBM Cloud

Kyverno is a policy engine designed specifically for Kubernetes, offering a comprehensive solution for managing policies in a Kubernetes environment. It caters to businesses of all sizes, including small, medium, and large companies. DevOps engineers, Kubernetes administrators, cloud infrastructure engineers, software developers, and IT security professionals across various industries can leverage Kyverno to streamline policy management and enhance the security and efficiency of their Kubernetes deployments.

## Key Features

**Kubernetes Native Policy Management**: Manage policies as Kubernetes resources, eliminating the need for a new language to write policies. Utilize familiar tools like kubectl, git, and kustomize for policy management.

**Validate, Mutate, Generate, and Cleanup Kubernetes Resources**: Ensure adherence to rules and constraints by validating Kubernetes resources. Modify resources to match desired configurations using policies. Generate Kubernetes resources based on defined policies. Remove unwanted resources with cleanup policies.

**Verify Image Signatures and Artifacts**: Enhance the security of the software supply chain by verifying image signatures and artifacts. Only trusted and verified images and artifacts are used in the Kubernetes environment.

**CI/CD Pipeline Integration**: Test policies and validate resources as part of a CI/CD pipeline using the Kyverno CLI. Automate policy enforcement and resource validation during the development and deployment process.

**Policy Documentation and Sample Policies**: Access comprehensive documentation to guide users in understanding and implementing policies. Sample policies are available to help users quickly get started and learn best practices.

Kyverno is an open source policy engine designed for Kubernetes, supported by Nirmata. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, git, and kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources plus ensure OCI image supply chain security. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline.

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed container service to run and scale Kubernetes applications in the cloud or on-premises, available on AWS or on-premise through Amazon EKS Anywhere.

Amazon EKS Cluster

Akamai Cloud Computing (formerly Linode) include scalable and accessible Linux cloud solutions and services. These products and services support developers and enterprises as they build, deploy, secure, and scale applications.

Akamai Cloud Computing

Kyverno

Container Management Software uses a kernel to run multiple contained instances on a single operating system, reducing virtualization overhead considerably though presenting the limitation that guests must use the same OS as the host.

Container Management

Kyverno Kubernetes Policy Management (Edited Rerun)

The Way of the Future | Kubernetes Policy Management with Kyverno

Nirmata

Let's Deploy : kyverno

Broadcasted live on Twitch -- Watch live at https://www.twitch.tv/letsdeploy

Features commonly found in Container Management software.

Security and Isolation

Product provides effective tools to isolate containers, nodes, and clusters and protect them from threats.

Container Orchestration

The product’s ability to automate networking, deployment, scaling, and other container management functions.

Cluster Management

Product’s ability to centralize the management of multiple container or node clusters.

Storage Management

Product’s ability to allocate storage resources and manage both temporary and persistent data.

Resource Allocation and Optimization

Product’s ability to balance resource requirements, availability needs, and workload intensity to optimize resource usage.

Discovery Tools

Product provides methods (such as URIs or sortable lists) to easily find and access jobs, nodes, containers, or clusters.

Update Rollouts and Rollbacks

Product provides tools or functionality to deliver updates to containerized applications in ways that minimize the impact of errors, and revert updates that cause problems.

Self-Healing and Recovery

Product can be configured to automatically restart, replace, reschedule, kill, and validate jobs, containers, nodes, or clusters.

Analytics, Monitoring, and Logging

Product provides tools to manage performance, health, and other data related to containers or clusters. This could include analytics tools, logging tools, live dashboards, etc.

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Kyverno

Overview

What is Kyverno?