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See the complete profile on LinkedIn and discover Guy’s connections and jobs at similar companies. OPA decouples policy decision-making from policyenforcement. When your software needs to make policy decisions it queriesOPA and supplies structured data (e.g., JSON) as input.

OPA accepts arbitrarystructured data as input. OPA generates policy decisions by evaluating the query input and againstpolicies and data. OPA and Rego are domain-agnostic so you can describe almostany kind of invariant in your policies. Which users can access which resources.

Likequery inputs, your policies can generate arbitrary structured data as output.

Let’s look at an example. See full list on openpolicyagent. Imagine you work for an organization with the following systeThere are three kinds of components in the syste1.

Networks connect servers and can be public or private. Public networks are connected to the Internet. Ports attach servers to networks. All of the servers, networks, and ports are provisioned by a script.

The scriptreceives a JSON representation of the system as input: Earlier in the day your boss told you about a new security policy that has to beimplemented: The policy needs to be enforced when servers, networks, and ports areprovisioned and the compliance team wants to periodically audit the system tofind servers that violate the policy. Your boss has asked you to determine if OPA would be a good fit for implementingthe policy. OPA policies are expressed in a high-level declarative language called Rego. Rego (pronounced “ray-go”) is purpose-built for expressing policies over complexhierarchical data structures. For detailed information on Rego see the PolicyLanguagedocumentation.

Congratulations on making it through the introduction to OPA. If you made itthis far you have learned the core concepts behind OPA’s policy language as wellas how to get OPA and run it on your own. If you have more questions about how to write policies in Rego check out: 1. If you want to try OPA for a specific use case check out: 1. The Ecosystempage which showcases various of OPA integrations.

The Policy Cheatsheetpage for a listing of common patterns. Some popular tutorials include: 1. The Kubernetespage for how to use OPA as an admission controller in Kubernetes. The Envoypage for how to use OPA as an external authorizer with Envoy.

The Terraformpage for how to use OPA to validate Terraform plans. Policy-based control for cloud native environments. Thinking of selling your property? James from open agent was most professional, efficient, had great communication and listening skills and genuinely keen to help. I felt at ease and not stressed in seeking the services of a real estate agent through James from Open Agent.

Highly recommend Open Agent for peace of mind and prompt service. Note: This is an opinion piece regarding Open Agent services. View Guy Manno’s profile on LinkedIn, the world’s largest professional community. OpenAgent Review Reasons to Avoid OpenAgent.

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