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What is D2iQ?

D2iQ's Enterprise Kubernetes Platform (DKP) is designed to facilitate the deployment of Kubernetes workloads at scale, making it easier for organizations to adopt and manage advanced applications across various infrastructures, including on-premises, cloud, air-gapped settings, and edge environments. By addressing the most significant challenges faced in enterprise Kubernetes deployment, DKP offers a unified management interface that streamlines the journey to production while ensuring robust control over applications in any environment. Key features include out-of-the-box Day 2 readiness without vendor lock-in, simplified Kubernetes adoption processes, and guarantees of consistency, security, and performance across distributed systems. Furthermore, DKP empowers organizations to swiftly deploy machine learning applications and fast data pipelines, all while tapping into cloud-native expertise to maximize operational efficiency. This platform not only enhances existing capabilities but also paves the way for future growth and innovation in cloud-native environments.

What is ACRA?

ACRA is a powerful platform designed to facilitate the secure operation and administration of sensitive applications and AI workloads. It employs virtual enclaves and policy controls to manage crucial aspects such as workload identity, access, network boundaries, secrets, and audit visibility. Organizations can deploy ACRA on Kubernetes infrastructure in various settings, including public and private clouds, on-premises, or isolated environments, allowing for centralized management of protected workloads through a single control plane. This platform is specifically crafted for enterprise and government entities handling sensitive or regulated data, making it exceptionally suitable for applications related to defense and critical infrastructure. ACRA's functionalities encompass running containerized applications, performing AI inference, and supporting other workloads that require strict execution controls. Administrators have the authority to define which workloads can interact and access secured resources, while operational dashboards provide comprehensive visibility into activities and events across all managed environments. With its versatile capabilities, ACRA stands out as a vital resource for maintaining the integrity and security of operations involving sensitive data, ensuring that organizations can confidently manage their critical processes. Its adaptability to various deployment scenarios further enhances its value in today’s dynamic technological landscape.

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Integrations Supported

AWS Cloud9
Apache Cassandra
Azure Kubernetes Service (AKS)
Calico Cloud
Datadog
Google Kubernetes Engine (GKE)
Grafana Cloud
IBM Kubecost
Istio
Kubeflow
Marathon
Open Container Initiative (OCI)
PagerDuty
Portworx
Prometheus
ServiceNow Cloud Observability
Slack
Sysdig Secure

Integrations Supported

Kubernetes
Model Context Protocol (MCP)

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

D2iQ

Date Founded

2013

Company Location

United States

Company Website

d2iq.com

Company Facts

Organization Name

Valarian

Date Founded

2020

Company Location

United Kingdom

Company Website

www.valarian.com/technology

Categories and Features

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Microservices

Not specified

Categories and Features

AI Security

Not specified

IT Security

Not specified

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