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Description
Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.
Description
Rkt is an advanced application container engine crafted specifically for contemporary cloud-native environments in production. Its design incorporates a pod-native methodology, a versatile execution environment, and a clearly defined interface, making it exceptionally compatible with other systems. The fundamental execution unit in rkt is the pod, which consists of one or more applications running in a shared context, paralleling the pod concept used in Kubernetes orchestration. Users can customize various configurations, including isolation parameters, at both the pod level and the more detailed per-application level. In rkt, each pod operates directly within the traditional Unix process model, meaning there is no central daemon, allowing for a self-sufficient and isolated environment. Rkt also adopts a contemporary, open standard container format known as the App Container (appc) specification, while retaining the ability to run other container images, such as those generated by Docker. This flexibility and adherence to standards contribute to rkt's growing popularity among developers seeking robust container solutions.
API Access
Has API
API Access
Has API
Integrations
Kubernetes
Calico Cloud
Calico Enterprise
Docker
Fedora CoreOS
FortiADC
Google Cloud Container Registry
Integrations
Kubernetes
Calico Cloud
Calico Enterprise
Docker
Fedora CoreOS
FortiADC
Google Cloud Container Registry
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Tigera
Country
United States
Website
www.tigera.io
Vendor Details
Company Name
Red Hat
Country
United States
Website
cloud.redhat.com/learn/topics/rkt
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Cloud Workload Protection
Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity
Container Security
Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata