Stacklet
A platform for managing and governing cloud environments using Cloud Custodian.
Category | Compliance & Governance |
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This page updated | a month ago |
Pricing Details | Contact for pricing details. |
Target Audience | Development and security teams managing cloud environments. |
Stacklet addresses the core security and operational challenge of managing and governing large, dynamic cloud environments by leveraging the Cloud Custodian open source project. The platform provides comprehensive resource and policy coverage across major cloud providers, including AWS, Azure, Google Cloud, and Tencent Cloud.
Technically, Stacklet's architecture is built around a domain-specific language that enables governance-as-code, allowing development and security teams to define and enforce policies effectively. It integrates with Cloud Custodian to offer immediate visibility into hundreds of resource types and thousands of policies, facilitating real-time monitoring and automation of remediation workflows. The platform uses SQL and natural language queries via its AI capabilities to provide a "select * from cloud" experience, enhancing visibility and control over cloud resources, costs, and configurations.
Operationally, Stacklet emphasizes automated actions and workflows, enabling quick action and communication among engineering teams. It supports multi-step remediation workflows tailored to an organization's specific policies and structures, and it enforces tagging policies to ensure 100% tagging compliance. However, the scalability of these workflows can be limited by the complexity of the policies and the volume of resources being managed. Additionally, while the platform offers real-time insights, historical analysis may require additional configuration and resources.
From a technical details perspective, Stacklet's use of GraphQL and REST APIs facilitates integration with various cloud services and tools. The platform also supports webhooks and OAuth authentication, ensuring secure and seamless interactions. However, API rate limits and the need for careful policy management can impact performance and effectiveness, particularly in very large or highly dynamic environments.