Rego service manual

The provider inventory. You can create custom rules to extend the default ruleset of the Validation service. For example, you can create a rule that checks whether a VM has multiple disks. 6.2.1. About Rego files Validation rules are written in Rego, the Open Policy Agent (OPA) native query language. The rules are stored as .rego files in the /usr/share/opa/policies/io/konveyor/forklift/ directory of the Validation pod. Each validation rule is defined in a separate .rego file and tests for a specific condition. If the condition evaluates as true, the rule adds a {“category”, “label”, “assessment”} hash to the concerns. The concerns content is added to the concerns key in the inventory record of the VM. The web console displays the content of the concerns key for each VM in the provider inventory. The following .rego file example checks for distributed resource scheduling enabled in the cluster of a VMware VM: drs_enabled.rego examplepackage io.konveyor.forklift.vmware 1has_drs_enabled { input.host.cluster.drsEnabled 2}concerns[flag] { has_drs_enabled flag := { "category": "Information", "label": "VM running in a DRS-enabled cluster", "assessment": "Distributed resource scheduling is not currently supported by OpenShift Virtualization. The VM can be migrated but it will not have this feature in the target environment." }} 1 Each validation rule is defined within a package. The package namespaces are io.konveyor.forklift.vmware for VMware and io.konveyor.forklift.ovirt for Red Hat Virtualization. 2 Query parameters are based on the input key of the Validation service JSON. 6.2.2. Checking the default validation rules Before you create a custom rule, you must check the

Of the policy engine.Next, we will cover what OPA is and what it can do, and afterward we will describe how OPA Gatekeeper works and how it can help with cluster management and policy enforcement.Open Policy AgentOpen Policy Agent offers an open-source service that can evaluate inputs against user-defined policies and mark the input as passing or failing. Any application or service that can be configured to make an API request for determining authorization or other policy decisions can integrate with OPA. OPA evaluates only whether a request conforms to the required policies; enforcement of policy violations falls to the integrating application.What makes OPA incredibly versatile is that it’s agnostic to API and data schemas. Because the OPA policies should programmatically handle any object traversal that they require, OPA can perform dynamic evaluation of any JSON-formatted data from any source. When integrated with the Kubernetes API, OPA can check any cluster resource type, standard or custom, and policies can refer to and test any field in those resource schemas. This versatility makes OPA very useful for Kubernetes cluster security compliance as well as for practical resource configuration management.RegoUsers can write policies using the OPA custom programming language, Rego. Rego has a very simple syntax and small set of functions and operators, optimized for query evaluation.A few points to keep in mind when reading and writing Rego policies:Rules are evaluated as logical AND statements.The order of rule statements does not matter.true and defined are usually synonymous. false is also usually synonymous

Are you a cloud architect or IT admin tasked with ensuring deployments are following best practices and generating configuration validation reports? The struggle of adopting best practices is real. And not just the first time: ensuring that a config doesn’t drift from org-wide best practices over time is notoriously difficult. Workload Manager provides a rule-based validation service for evaluating your workloads running on Google Cloud. Workload Manager scans your workloads, including SAP and Microsoft SQL Server, to detect deviations from standards, rules, and best practices to improve system quality, reliability, and performance. .Introducing custom rules in Workload ManagerToday, we’re excited to extend Workload Manager with custom rules (GA), a detective-based service that helps ensure your validations are not blocking any deployments, but that allows you to easily detect compliance issues across different architectural intents. Now, you can flexibly and consistently validate your Google Cloud deployments across Projects, Folders and Orgs against best practices and custom standards to help ensure that they remain compliant.Here’s how to get started with Workload Manager custom rules in a matter of minutes.1) Codify best practices and validate resourcesIdentify best practices relevant to your deployments from the Google Cloud Architecture Framework, codify them in Rego, a declarative policy language that's used to define rules and express policies over complex data structures, and run or schedule evaluation scans across your deployments. Start with sample Rego policies in our GitHub repository: can create new Rego rules based on your preferences, or reach out to your account team to get more help crafting new rules.2) Export findings to BigQuery dataset and visualize them using LookerYou can configure your own BigQuery dataset to export each validation scan and easily integrate it with your existing reporting systems, build a new Looker dashboard, or export results to Google Sheets to plan remediation steps. Additionally, you can configure Pub/Sub-based notifications to send email, Google Chat messages, or integrate with your third-party systems based on different evaluation success criteria.A flexible system to do more than typical config validationWith custom rules you can build rules with complex logic and validation requirements across multiple domains. You can delegate build and management to your subject matter experts, reducing development time and accelerating the time to release new policies. And with central BigQuery table export, you can combine violation findings from multiple evaluations and easily integrate with your reporting system to build a central compliance program.Get started today with custom rules in Workload Manager by referring to the documentation and testing sample policies against your deployments.Need more help? Engage with your account teams to get more help in crafting, curating and adopting best practices. Posted inCompute

Update: This repository is no longer maintained.Security Response AutomationTake automated actions on your Security Command Center findings:Automatically create disk snapshots to enable forensic investigations.Revoke IAM grants that violate your desired policy.Notify other systems such as PagerDuty, Slack or email.See the full list of automations for more information.You're in control:Service account runs with lowest permission needed granted at granularity you specify.You control which projects are enforced by each automation.Every action is logged to Cloud Logging and is easily auditable.Can be run in monitor mode where actions are logged only.ArchitectureA finding is either generated from Security Command Center or Cloud Logging (legacy) and sent to a Pubsub topicThe Filter Cloud Function first can optionally run the finding through a series of Rego policies that will automatically mark the finding as a false positive and auto-close it.If the finding is valid for your environment, it is sent to the Router Function, which is configued by YAML to send the finding on to the correct auto-remediation function that you have enabled.The auto-remediation Cloud Functions then take action to fix the problem addressed with the finding.AutomationsFunction NameServiceDescriptionCloseBucketGCSRemoves public access for a GCS bucketCloseCloudSQLCloudSQLRemoves public access for a Cloud SQL instanceClosePublicDatasetBigQueryRemoves public access for a BigQuery DatasetCloudSQLRequireSSLCloud SQLAutomatically configure a Cloud SQL instance to require encryption in transitDisableDashboardGoogle Kubernetes EngineDisables the GKE dashboardEnableAuditLogsIAMEnables Data Access logsEnableBucketOnlyPolicyIAMEnables Uniform Bucket Access on the bucket in questionIAMRevokeIAMRevokes IAM permissions granted by an anomolous grantOpenFirewallCompute EngineCloses an firewall rule that has 0.0.0.0/0 ingress openRemovePublicIPCompute EngineRemoves external IP from a GCE instanceSnapshotDiskCompute EngineCreates a disk snapshot in response to a C2 findingUpdatePasswordCloud SQLUpdates the Cloud SQL root passwordConfigurationFilterNOTE: Filters are only supported if using SCC NotificationsSometimes in your environment, you'll run into a scenario where a finding is a false positive because it is expected in your environment. In this case, we use the Filter Cloud Function to automatically mark findings as false positives in SCC and then set them as INACTIVE so you don't have to alert on them. To filter, we use a common policy language used in other Google Cloud open source called Rego from the good folks at Open Policy Agent.To add your own Rego files simply add them in ./config/filters. The Cloud Function will pick up any files with the .rego extension except *_test.rego so please also add tests. Each file must have a single "rule" that evaluates to true if the finding should be filtered.

EN EnglishDeutschFrançaisEspañolPortuguêsItalianoRomânNederlandsLatinaDanskSvenskaNorskMagyarBahasa IndonesiaTürkçeSuomiLatvianLithuaniančeskýрусскийбългарскиالعربيةUnknown Login to YUMPU News Login to YUMPU Publishing CLOSE TRY ADFREE Discover products News Publishing Magazines Create ePaper Login to YUMPU News Login to YUMPU Publishing 29.11.2012 • Views Share Embed Flag Lp-Gas Serviceman's Manual - GAMECO Lp-Gas Serviceman's Manual - GAMECO SHOW MORE SHOW LESS ePAPER READ DOWNLOAD ePAPER TAGS pressure regulator from with stage tubing pipe this flow piping manual gameco gameco.com.au gameco.com.au Create successful ePaper yourself Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software. START NOW More documents Recommendations Info LP-Gas Serviceman’s ManualPage 2 and 3: The LP-Gas Serviceman’s Manual EnPage 4 and 5: 2 Information About LP-Gas* PropanePage 6 and 7: 4 Propane Storage Vessels The withdPage 8 and 9: 100 LB. Cylinders How Many Are RequPage 10 and 11: 8 Proper Purging of LP-Gas ContainePage 12 and 13: 10 Proper Purging of LP-Gas ContainPage 14 and 15: 12 Proper Placement of Cylinders anPage 16 and 17: Location of ASME Containers From NFPage 18 and 19: 16 Pipe And Tubing Selection D. UsiPage 20 and 21: 18 Pipe And Tubing Selection ExamplPage 22 and 23: Table 1 - First Stage Pipe Sizing (Page 24 and 25: Table 3 - Second Stage or Integral Page 26 and 27: 24 Table 5-Maximum Capacity of CSSTPage 28 and 29: 26 LP-Gas Regulators The regulator Page 30 and 31: 28 LP-Gas Regulators done by qualifPage 32 and 33: 30 LP-Gas Regulators Indoor InstallPage 34 and 35: 32 LP-Gas Regulators Underground InPage 36 and 37: 34 LP-Gas Regulators 5. Find the liPage 38 and 39: 36 Leak Testing the Installation B.Page 40 and 41: 38 Proper Use of Excess Flow ValvesPage 42 and 43: 40 Pressure Relief Valves Surface aPage 44 and 45: 42 Repair of the MultiBonnet ® 3 HPage 46 and 47: 44 Line Sizing Chart for Liquid ProPage 48 and 49: 46 Determining Age of RegO ® ProduPage 50 and 51: 48 Conversion Units Multiply By To Page 52: • Distributor Information • Ser show all Delete template? Are you sure you want to delete your template? Save as