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What is Datree?

Focus on preventing misconfigurations instead of stopping deployments by employing automated policy enforcement for Infrastructure as Code. Establish guidelines aimed at reducing misconfigurations on platforms such as Kubernetes, Terraform, and CloudFormation, which helps maintain application stability through automated testing that identifies policy violations or potential issues that may disrupt services or diminish performance. By transitioning to cloud-native infrastructure, you minimize risks by implementing either pre-defined policies or customizing your own to meet specific requirements. This allows a shift in focus towards improving your applications rather than getting overwhelmed by infrastructure management, as you can enforce standardized policies across various infrastructure orchestrators. Furthermore, simplify the workflow by eliminating the need for manual code reviews on infrastructure-as-code changes, since checks are performed automatically with each pull request. Continue to uphold your existing DevOps practices by integrating a policy enforcement system that seamlessly fits into your current source control and CI/CD pipelines, thereby fostering a more efficient and agile development cycle. Ultimately, this methodology not only boosts productivity but also cultivates a culture of continuous improvement and reliability in the software deployment process, leading to better team performance and enhanced application reliability.

What is Checkov?

Ensure that modifications are validated across a variety of resource types supported by major cloud service providers. During the build phase, utilize a simple Python policy-as-code framework to conduct scans of cloud resources aimed at identifying any misconfigurations. Leverage Checkov’s graph-oriented YAML policies to investigate the interconnections among cloud resources. Within the specific context of a repository's CI/CD processes and version control systems, execute, test, and fine-tune runner parameters. Tailor Checkov to develop your own distinct policies, providers, and suppression terms that align with your needs. By integrating this validation process into the developers' existing workflows, you can effectively prevent the deployment of misconfigurations. Enable automated comments on pull or merge requests in your repositories, thereby negating the necessity for establishing a CI pipeline or conducting periodic checks. The Bridgecrew platform is designed to automatically assess new pull requests, offering feedback that points out any policy violations it detects, which is crucial for maintaining continuous compliance and enhancing security within your cloud infrastructure. This proactive methodology significantly contributes to upholding best practices while simultaneously fortifying the overall security framework of your cloud environment. Regularly reviewing and refining these practices will ensure long-term resilience against potential vulnerabilities.

Media

Media

Integrations Supported

AWS CloudFormation
GitHub
Kubernetes
Terraform
Docker

Integrations Supported

AWS CloudFormation
GitHub
Kubernetes
Terraform
Amazon Web Services (AWS)
Bitbucket
Brainboard
Cider
CybeDefend
GitLab
Google Cloud Platform
Helm
Jenkins
Kondukto
Microsoft Azure
Python
Serverless
Visual Studio

API Availability

API Availability

Pricing Information

$10 per user per month
Free Trial Offered?

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Datree.io

Date Founded

2017

Company Location

United States

Company Website

www.datree.io

Company Facts

Organization Name

Prisma Cloud

Date Founded

2019

Company Location

United States

Company Website

www.checkov.io

Categories and Features

Policy Management

Not specified

Categories and Features

Static Code Analysis

Not specified

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