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support

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Description

Introducing AI and Kubernetes that prioritize security from the ground up, regardless of your infrastructure's location. By establishing a robust security boundary around Kubernetes workloads, we eliminate the risks associated with container escapes. Our approach simplifies the execution of AI and machine learning tasks through advanced GPU device virtualization, driver isolation, and virtual GPUs (vGPUs). Edera Krata heralds a transformative shift in isolation technology, paving the way for a new era focused on security. Edera redefines both security and performance for AI and GPU applications, while ensuring seamless integration with Kubernetes environments. Each container operates with its own dedicated Linux kernel, thereby removing the vulnerabilities linked to shared kernel states among containers. This advancement effectively ends the prevalence of container escapes, reduces the need for costly security tools, and alleviates the burden of endlessly sifting through logs. With just a few lines of YAML, you can launch Edera Protect and get started effortlessly. Designed in Rust to enhance memory safety, this solution has no negative impact on performance. It represents a secure-by-design Kubernetes framework that effectively neutralizes threats before they can take action, transforming the landscape of cloud-native security.

Description

Organizations are increasingly turning to containerized environments to accelerate application development. However, these applications still require essential services like routing, SSL offloading, scaling, and security measures. F5 Container Ingress Services simplifies the process of providing advanced application services to container deployments, facilitating Ingress control for HTTP routing, load balancing, and enhancing application delivery performance, along with delivering strong security services. This solution seamlessly integrates BIG-IP technologies with native container environments, such as Kubernetes, as well as PaaS container orchestration and management systems like RedHat OpenShift. By leveraging Container Ingress Services, organizations can effectively scale applications to handle varying container workloads while ensuring robust security measures are in place to safeguard container data. Additionally, Container Ingress Services promotes self-service capabilities for application performance and security within your orchestration framework, thereby enhancing operational efficiency and responsiveness to changing demands.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud
Amazon Web Services (AWS)
Ansible
Equinix
Google Cloud Platform
IBM WebSphere Application Server
Kubernetes
Microsoft Azure
Rackspace OpenStack
Red Hat OpenShift
Rust

Integrations

Alibaba Cloud
Amazon Web Services (AWS)
Ansible
Equinix
Google Cloud Platform
IBM WebSphere Application Server
Kubernetes
Microsoft Azure
Rackspace OpenStack
Red Hat OpenShift
Rust

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

Edera

Founded

2024

Country

United States

Website

edera.dev/

Vendor Details

Company Name

F5

Founded

1996

Country

United States

Website

www.f5.com/products/big-ip-services/container-ingress-services

Product Features

Container Security

Access Roles / Permissions
Application Performance Tracking
Centralized Policy Management
Container Stack Scanning
Image Vulnerability Detection
Reporting
Testing
View Container Metadata

Product Features

Alternatives

Alternatives

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