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The 8 Policy-as-Code Tools I'd Actually Use to Control What Gets Deployed to Your Cloud Accounts

Blog post from Qovery

Post Details
Company
Date Published
Author
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Word Count
3,754
Company Posts That Month
92
Language
English
Hacker News Points
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Post removed?
No
Summary

Policy as code uses version-controlled, machine-evaluated rules to prevent unsafe cloud configurations such as public storage, unrestricted management access, missing encryption, insecure containers, and exposed secrets. The comparison argues that no single tool covers every enforcement point: Checkov, Conftest, and Trivy provide rapid pull-request and CI scanning; Sentinel, Pulumi CrossGuard, and Spacelift evaluate actual infrastructure plans before deployment; Kyverno, OPA Gatekeeper, Kubewarden, and Kubernetes ValidatingAdmissionPolicy enforce rules at Kubernetes admission; and Cloud Custodian plus native AWS, Azure, or GCP organization policies identify or remediate drift in live accounts. OPA and its Rego language are presented as the broadest cross-platform option, with Conftest serving as its configuration-testing CLI, while Kyverno is positioned as a simpler YAML-based choice for Kubernetes-only environments. The discussion recommends beginning with a small set of high-signal rules, initially running them in audit mode, testing policies like application code, tracking bypasses and remediation time, and using time-limited, owned exceptions to avoid permanent waivers. It emphasizes that policy controls often fail because they are optional, overly noisy, poorly supported, or disconnected from developers’ workflows, and argues that standardized deployment templates and internal developer platforms such as Qovery can reduce the number of misconfigurations created while complementing rather than replacing policy engines.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 37 4,363 405 103 +23%
Platform Engineering 5 1,691 347 96 +40%
Secrets Management 4 2,046 504 139 -11%
Developer Experience 1 641 275 91 +30%
LLM 1 6,033 1,166 244 +15%
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