example(ske): add example for kubeapi audit logs #65
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Hey @mauritz.uphoff ,
I could not test this today end-to-end as we have issues with stackit_telemetrylink (see https://chat.google.com/room/AAQAyBUdV7k/V2pak9TVhOY/V2pak9TVhOY?cls=10)
But I almost rolled out similar but with STACKIT Logs and without automated k8s ressource deployments.
Main "issue" is that we can not filter (irrelevant) logs (see readme) on Telemetry Router level. Filter on SKE side is also not possible as discussed with the team.
🤖 AI PR Review
⚠️ 📝 Spelling & Grammar
🤖 STACKIT Model Serving
examples/ske-kubeapi-audit-log/README.md:15— “comming” → “coming”examples/ske-kubeapi-audit-log/README.md:15— “overwhleming” → “overwhelming”examples/ske-kubeapi-audit-log/README.md:24— “review” → “preview” (in “private review” → should be “private preview” to match context)examples/ske-kubeapi-audit-log/README.md:59— “STACKIT Logs only focusing on have a managed Loki” → “STACKIT Logs focuses only on providing a managed Loki”examples/ske-kubeapi-audit-log/README.md:60— “Observability comes with a managed Grafana on top.” → “Observability includes a managed Grafana on top.” (for smoother phrasing)examples/ske-kubeapi-audit-log/README.md:81— “The resource attributes STACKIT sets on every forwarded record (dots become underscores once they arrive as Loki labels):” → “The resource attributes STACKIT sets on every forwarded record (dots become underscores when they arrive as Loki labels):” (more natural phrasing)🔍 STACKIT Cloud Advisor
Spelling and Grammar Review
I have reviewed the provided git diff for spelling and grammar errors in the prose content, including Markdown documentation, Terraform variable descriptions, and inline comments. I have also verified the usage of STACKIT product names and technical terminology against the provided documentation.
The following errors were identified:
examples/ske-kubeapi-audit-log/010-provider.tfdistributed under an "AS IS" BASISdistributed on an "AS IS" BASISexamples/ske-kubeapi-audit-log/020-variables.tfAccess control list of the Observability/Logs.Access control list of the Observability/Logs.(Note: While grammatically acceptable, "for" is more idiomatic:Access control list for Observability/Logs.)examples/ske-kubeapi-audit-log/080-canary-workload.tfinto the auditinto the audit stream(Sentence is truncated/incomplete)examples/ske-kubeapi-audit-log/README.mdcomming from kublet or gardenercoming from kubelet or gardenerexamples/ske-kubeapi-audit-log/README.mdThis can be overwhlemingThis can be overwhelmingexamples/ske-kubeapi-audit-log/README.mdin private reviewin private previewexamples/ske-kubeapi-audit-log/README.mdSTACKIT Logs only focusing on have a managed LokiSTACKIT Logs only focus on having a managed Lokiexamples/ske-kubeapi-audit-log/README.mdwhere the kublet/gardener noisewhere the kubelet/gardener noise⚠️ 🏗️ Infrastructure Changes
🤖 STACKIT Model Serving
🔍 STACKIT Cloud Advisor
1. Identified STACKIT Services
Based on the Terraform configuration, the following services are being provisioned or utilized:
stackit_ske_cluster), including a node pool using theflatcarOS and enabling Kubernetes API audit logging (audit.enabled = true).stackit_network) is being provisioned to host the SKE nodes.stackit_observability_instance) is being provisioned to act as the long-term storage and visualization layer (Loki/Grafana). It also includes the creation of credentials (stackit_observability_credential) for ingestion.stackit_telemetryrouter_instance) is being provisioned to act as the central ingestion point. It includes an access token (stackit_telemetryrouter_access_token) and a destination (stackit_telemetryrouter_destination) configured to forward logs to the Observability service via the OTLP protocol.stackit_telemetrylink) is being established to connect the STACKIT project to the Telemetry Router, enabling the automatic capture of audit streams.Proposed Data Flow Architecture:
2. STACKIT Best Practices & Architectural Review
While the PR follows the functional requirements for a demo, I have identified several points regarding production readiness and best practices:
stackit_telemetrylink. This is a requirement to ensure that STACKIT internal logs are actually redirected to your configured destinations Architecture.lifecycle { ignore_changes = [...] }on the SKE cluster is a good practice here, as it prevents Terraform from attempting to revert automatic Kubernetes version upgrades or node pool scaling performed by the STACKIT control plane.telemetry_aclis currently set to["0.0.0.0/0"]. For a production observability instance, this should be restricted to specific known IP ranges to minimize the attack surface.3. Quotas, Regional Constraints, and Limitations
Please be aware of the following constraints when deploying this configuration:
var.stackit_regionis consistent across all components.stackit_telemetryrouter_destinationconfiguration, note that theuriparameter has a limit of 1024 characters Create And Manage Destinations.Observability-Large-EU01. Ensure your project has the necessary quota/permissions for this specific plan size.⚠️ 🔒 Security Review
🤖 STACKIT Model Serving
✅ No security issues found.
🔍 STACKIT Cloud Advisor
1. STACKIT IAM or Authorization Misconfigurations
The
stackit_telemetrylinkresource is configured withresource_type = "project"and points to the entirevar.stackit_project_id[060-telemetry-link.tf]. While this is necessary to ingest logs from the project, ensure that the service account executing this Terraform plan follows the principle of least privilege, as it requires permissions to link entire projects to the Telemetry Router.2. Missing STACKIT-Specific Security Controls
🔴 High: Overly Permissive Observability ACL
In
020-variables.tf, thetelemetry_aclvariable defaults to["0.0.0.0/0"]. This is applied to thestackit_observability_instancein040-observability.tf.0.0.0.0/0allows any IP address to attempt access to your Grafana, Metrics, Logs, and Traces endpoints How To Control Instance Access.0.0.0.0/0Enhance The Security Of Your Cluster. You can use thestackit_public_ip_rangesdata source to at least allow all STACKIT internal services while restricting external access Public Ip Ranges.🔴 High: Missing SKE API Server Access Control (ACL)
The
stackit_ske_clusterresource in070-ske-cluster.tfdoes not define theextensions.aclblock.aclextension enabled and configured withallowedCidrs, the Kubernetes API server is not protected by the additional layer of STACKIT network isolation Configure Access Control For Your Cluster Configure Access Control For Your Cluster.aclextension within the SKE cluster configuration to restrict API access to specific, trusted CIDR ranges Configure Access Control For Your Cluster.🟡 Medium: Lack of Network Policies for SKE
The diff defines a
stackit_networkfor the nodes, but there are no KubernetesNetworkPolicyresources defined to control pod-to-pod traffic [030-network.tf].3. Secrets and Sensitive Values
The provider configuration uses
service_account_key_path = var.stackit_service_account_key_path[010-provider.tf]. While the path itself is not a secret, the security of the deployment relies entirely on the protection of the JSON file located at that path. Ensure this file is never committed to version control.4. STACKIT Compliance and Audit-Logging Considerations
The configuration correctly enables
audit = { enabled = true }for the SKE cluster [070-ske-cluster.tf] and sets up a pipeline via Telemetry Router to Observability. This aligns with best practices for centralized logging and auditability Enhance The Security Of Your Cluster.Summary of Security Posture
0.0.0.0/0aclto specific CIDRs How To Control Instance Access.extensions.aclin the cluster resource Configure Access Control For Your Cluster.NetworkPolicyfor pod isolation Enhance The Security Of Your Cluster.Architectural Topology of the Proposed Change:
✅ 📐 Example Consistency
🤖 STACKIT Model Serving
✅ Example follows repository conventions.
🔍 STACKIT Cloud Advisor
The review of the provided git diff against the repository conventions and STACKIT provider standards is complete. While the example is structurally sound and follows most naming and documentation patterns, there are specific deviations regarding provider versioning and STACKIT-specific configuration requirements.
🚩 Deviations from Repository Conventions
1. Missing Variable Descriptions
The convention requires all variables to have a
descriptionattribute. In020-variables.tf, thestackit_project_idvariable is missing this attribute.Fix:
2. Non-Explicit Provider Version Constraints
The convention states that all providers in
required_providersblocks must have an explicit version constraint. In010-provider.tf, the versions use the>=operator, which allows for minor/patch updates but is technically a range constraint rather than a fixed or strictly pinned version. To strictly adhere to "explicit version constraint" in a production-grade repository, it is safer to pin to a specific version or a more restrictive range.Fix:
🛠️ STACKIT-Specific Advisory
Beta Resource Configuration
The example correctly implements the requirement for using beta resources. In
010-provider.tf, theenable_beta_resources = trueflag is set within thestackitprovider block. This is mandatory when interacting with experimental or preview features, such as the SKE audit logging feature mentioned in theREADME.md.Architecture Overview
The example implements a sophisticated telemetry pipeline. Below is the logical flow of the data as defined in the Terraform resources:
Provider Usage Note
The use of
ephemeral "stackit_ske_kubeconfig" "this"is a highly efficient pattern for managing the lifecycle of Kubernetes credentials within a single Terraform run, ensuring that thekubernetesprovider can immediately interact with the newly created cluster without manual intervention.Summary Table
010-,020-, etc.description&snake_casestackit_project_idis missing a description.>=instead of pinned versions..terraform.lock.hclcommitted.tffiles.⚠️ 📚 Example README
🤖 STACKIT Model Serving
✅ Example READMEs are complete.
🔍 STACKIT Cloud Advisor
Review of
examples/ske-kubeapi-audit-logI have reviewed the provided git diff for the new example directory. Below is my architectural assessment regarding naming conventions and documentation quality.
1. Naming Convention Analysis
The directory name
ske-kubeapi-audit-logis compliant with our standards.070-ske-cluster.tf) confirms that the core objective is enabling theaudit = { enabled = true }feature on an SKE cluster.[service]-[use-case]seen in other examples (e.g.,ske-velero-backup).2. README Quality Assessment
The
README.mdis high quality and meets all required criteria for a production-ready example.\rightarrowRouter Instance\rightarrowDestination\rightarrowQuery time), which is critical for users to understand how to manage the high volume of audit logs.terraform initandterraform applycommands.Architectural Topology Overview
The example demonstrates the following data flow:
Verdict:
The example is well-structured, accurately named, and provides sufficient documentation for a user to successfully deploy and validate the audit logging pipeline.
✅ 💬 Commit Messages
🤖 STACKIT Model Serving
✅ Commit messages are descriptive.
🔍 STACKIT Cloud Advisor
All provided commit messages are sufficiently descriptive.
✅ Commit messages are descriptive.
Generated automatically — treat as a hint, not a gate.
Be aware: pre-commit failed and the AI Agent found some grammar issues
75c5951542c103c36151🤖 AI PR Review
⚠️ 📝 Spelling & Grammar
🤖 STACKIT Model Serving
examples/ske-kubeapi-audit-log/README.md:12— “comming” → “coming”examples/ske-kubeapi-audit-log/README.md:13— “overwhleming” → “overwhelming”examples/ske-kubeapi-audit-log/README.md:20— “review” → “preview”examples/ske-kubeapi-audit-log/README.md:75— “have a managed Loki” → “has a managed Loki”🔍 STACKIT Cloud Advisor
Spelling and Grammar Review
I have reviewed the provided git diff for spelling and grammar errors in the prose content, including Markdown documentation, Terraform variable descriptions, and inline comments. I have also verified the usage of STACKIT product names and technical terminology against the provided documentation.
The following errors were identified:
File:
examples/ske-kubeapi-audit-log/010-provider.tfdistributed under the License is distributed on an "AS IS" BASIS,\rightarrowdistributed under the License is distributed on an "AS IS" basis,(Note: While this is part of a standard Apache License header, "BASIS" is capitalized in a way that deviates from standard prose, though often accepted in legal headers. If strictly following grammar rules for prose, it should be lowercase.)
File:
examples/ske-kubeapi-audit-log/README.mddoingget/list/watchcalls comming from kublet or gardener\rightarrowdoingget/list/watchcalls coming from kubelet or gardenerThis can be overwhleming so this example aims to show how you can view relevant audit logs as well.\rightarrowThis can be overwhelming, so this example aims to show how you can view relevant audit logs as well.because this feature is in private review\rightarrowbecause this feature is in private previewBoth are Loki underneath. STACKIT Logs only focusing on have a managed Loki and Observability comes with a managed Grafana on top.\rightarrowBoth are Loki underneath. STACKIT Logs only focuses on having a managed Loki, and Observability comes with a managed Grafana on top.The apply already produces findable audit records: the canary Namespace and ConfigMap are created\rightarrowThe apply already produces findable audit records: the canary namespace and ConfigMap are created.Architect's Note on Terminology:
The usage of SKE (STACKIT Kubernetes Engine), Telemetry Router, Observability, and Telemetry Link is consistent with STACKIT product naming conventions. The technical distinction between STACKIT Logs and STACKIT Observability is correctly maintained in the prose.
⚠️ 🏗️ Infrastructure Changes
🤖 STACKIT Model Serving
⚠️ No destructive changes detected — all resources are newly created. No force-replacements or deletions in this diff.
🔍 STACKIT Cloud Advisor
1. Identified STACKIT Services
Based on the Terraform configuration, the following services are being provisioned or utilized:
stackit_ske_cluster) with audit logging enabled. It uses a custom network and a specific node pool configuration.stackit_network) is being created to host the SKE nodes.stackit_observability_instance) is being provisioned using theObservability-Large-EU01plan to store and visualize logs.stackit_telemetryrouter_instance) is being deployed to act as the ingestion point for audit logs.stackit_telemetrylink) is being established to connect the STACKIT project to the Telemetry Router.Data Flow Architecture:
2. STACKIT Best Practices & Architectural Review
Security & Access Control
telemetry_aclis defaulted to["0.0.0.0/0"]. Recommendation: For production environments, restrict this to specific known IP ranges to minimize the attack surface of your Observability instance.stackit_observability_credentialto pass technical credentials to the router is the correct way to handle OTLP authentication via Basic Auth.Observability Configuration
observability_logs_retention_daysis set to7.Observability-Largeplan supports a default of 5 days and can be configured up to 30 days via the API Service Plans Observability. Ensure your retention requirement aligns with your compliance needs.stackit_telemetryrouter_destinationuses a specific filter forstackit.log.kind = "kubernetes-audit". This is an excellent practice to prevent "noise" and unnecessary costs by only routing relevant audit data to the Observability instance.3. Quotas, Regional Constraints, and Limitations
Regional Constraints
stackit_regiondefaults toeu01, ensure your cluster and router remain in this region.Service Limitations
Observability-Largeplan. Be aware of the following hard limits for this plan:⚠️ 🔒 Security Review
🤖 STACKIT Model Serving
✅ No security issues found.
🔍 STACKIT Cloud Advisor
1. STACKIT IAM or Authorization Misconfigurations
The
stackit_telemetryrouter_access_tokenis created to allow thestackit_telemetrylinkto subscribe the project to the router. While this is the functional requirement for the link, ensure that the principle of least privilege is applied to the identity using this token if it were to be exported or used outside of the automated Terraform flow.2. Missing STACKIT-Specific Security Controls
🔴 High: Overly Permissive Observability ACL
In
020-variables.tf, thetelemetry_aclvariable defaults to["0.0.0.0/0"]. The Observability service is available on the Internet by default How To Control Instance Access. Using0.0.0.0/0allows full access to Grafana, Metrics, Logs, and Traces from any IP address How To Control Instance Access.stackit_public_ip_rangesdata source to at least limit access to known STACKIT service ranges Public Ip Ranges.🔴 High: Missing SKE API Server Access Control (ACL)
The
stackit_ske_clusterresource in070-ske-cluster.tfdoes not define theextensions.aclblock. Without this, the Kubernetes API server is not protected by the SKE ACL functionality, which is a critical layer of security for limiting access to the API Enhance The Security Of Your Cluster Configure Access Control For Your Cluster.aclextension within the SKE cluster configuration to restrictallowedCidrsto trusted networks Configure Access Control For Your Cluster Configure Access Control For Your Cluster.🟡 Medium: Lack of Network Policies
The current configuration defines a
stackit_networkfor the nodes, but there are no KubernetesNetworkPolicyresources defined to control pod-to-pod traffic Enhance The Security Of Your Cluster.audit-canarynamespace and subsequent production namespaces to enforce granular traffic control Enhance The Security Of Your Cluster.🟡 Medium: Absence of Pod Security Standards (PSS)
The
audit-canarynamespace is created without any Pod Security Standard labels Enhance The Security Of Your Cluster.pod-security.kubernetes.io/enforce: restrictedlabels to namespaces to prevent privileged containers and enforce non-root users Enhance The Security Of Your Cluster.3. Secrets and Sensitive Values
The variable
stackit_service_account_key_pathis used to point to a JSON key file. While the path itself is not a secret, the security of the entire deployment relies on the protection of the file at that path. Ensure this file is never committed to version control.4. STACKIT Compliance and Audit-Logging Considerations
The
observability_logs_retention_daysis set to7days [020-variables.tf]. While this is sufficient for a "demo" (as suggested by the code comments), production compliance requirements often mandate longer retention periods for audit logs.The code notes that the router lives in the same project as the cluster for demo purposes [050-telemetry-router.tf]. For production environments, a more secure architecture involves running the Telemetry Router in a dedicated "hub" project to centralize logging and isolate the observability infrastructure from workload projects.
✅ 📐 Example Consistency
🤖 STACKIT Model Serving
✅ Example follows repository conventions.
🔍 STACKIT Cloud Advisor
Repository Convention Review
The provided git diff has been reviewed against the established repository conventions and STACKIT-specific provider requirements. While the example is structurally sound and follows most naming and documentation standards, there are specific deviations regarding provider versioning and variable documentation.
❌ Deviations from Conventions
1. Missing Variable Descriptions
The convention requires all variables to have a
descriptionattribute. In020-variables.tf, thestackit_project_idvariable is missing this attribute.2. Non-Explicit Provider Version Constraints
The convention requires all providers in
required_providersblocks to have an explicit version constraint. In010-provider.tf, the versions use the>=operator, which allows for breaking changes in minor or major updates. For stable repository examples, a pessimistic constraint (e.g.,~>) or a fixed version is preferred to ensure reproducibility.🔍 STACKIT-Specific Observations
enable_beta_resources = truein thestackitprovider block. This is a requirement for accessing certain experimental or preview features, such as the SKE audit logging mentioned in the README Stackit Terraform Provider.experiments = ["ske"]is correctly implemented to support theephemeralresourcestackit_ske_kubeconfig.service_account_key_path, which is a standard and supported method for authenticating the STACKIT Terraform Provider Docs.Summary Table
010-,020-, etc.snake_case.stackit_project_idis missing a description.>=instead of explicit/pessimistic constraints..tffiles..terraform.lock.hclis present and committed.✅ 📚 Example README
🤖 STACKIT Model Serving
✅ Example READMEs are complete.
🔍 STACKIT Cloud Advisor
Review of
examples/ske-kubeapi-audit-log/I have reviewed the provided git diff for the new example directory. Below is my architectural assessment regarding naming conventions and documentation quality.
1. Naming Convention Analysis
The directory name
ske-kubeapi-audit-logis compliant with our standards.[service]-[use-case], making it easy for users to locate via CLI or file explorers.2. README Quality Assessment
The
README.mdis high quality and meets all architectural requirements for a production-ready example.auditfeature enabled).How to usesection is provided, including the necessaryterraform initandterraform applycommands.Architectural Topology
For context, the example demonstrates the following data flow:
audit = { enabled = true }filter(e.g.,kubernetes-audit)Verdict:
✅ Example READMEs are complete.
✅ 💬 Commit Messages
🤖 STACKIT Model Serving
✅ Commit messages are descriptive.
🔍 STACKIT Cloud Advisor
Based on the criteria provided, I have evaluated the commit message from your pull request.
Commit Message Evaluation
The provided commit message is:
example(ske): add example for kubeapi audit logsexample(ske): add example for kubeapi audit logsske), and clearly describes the action taken (adding an example) and the specific resource being addressed (kubeapi audit logs).Architect's Summary
All messages in the provided list are sufficiently descriptive. No vague or contextless messages (such as 'fix', 'update', or 'wip') were detected in this specific sample.
✅ Commit messages are descriptive.
⚠️ 🏷️ Tag Quality
🤖 STACKIT Model Serving
<!-- tags: ... -->comment on line 1.🔍 STACKIT Cloud Advisor
I have reviewed the provided git diff for the new example
examples/ske-kubeapi-audit-log/.While the Terraform code correctly implements the architecture for shipping SKE audit logs via a Telemetry Router to an Observability instance, the documentation (README.md) is missing the required metadata tags.
🚩 Missing Tags
The new example
examples/ske-kubeapi-audit-log/README.mddoes not contain the mandatory<!-- tags: ... -->line on line 1. Based on the resources implemented in the.tffiles, the tags must include the relevant STACKIT products and the open-source patterns used.Analysis of resources touched:
stackit_ske_cluster\rightarrowskestackit_observability_instance\rightarrowobservabilitystackit_telemetryrouter_instance\rightarrowtelemetry-routerstackit_network\rightarrowiaas🛠️ Suggested Correction
Please add the following tag line to the very first line of
examples/ske-kubeapi-audit-log/README.md:Summary of Review
examples/ske-kubeapi-audit-log/README.md<!-- tags: ske, observability, telemetry-router, iaas, opentelemetry -->Generated automatically — treat as a hint, not a gate.
c103c36151c4fc7ef1bf🤖 AI PR Review
⚠️ 📝 Spelling & Grammar
🤖 STACKIT Model Serving
get/list/watchcalls coming from kublet or gardener (infrastructure to manage your SKE). This can be overwhelming so this example aims to show how you can view relevant audit logs as well." → "A lot of logs are produced by the cluster itself, doingget/list/watchcalls coming from kubelet or gardener (infrastructure to manage your SKE). This can be overwhelming, so this example aims to show how you can view relevant audit logs as well."watchcalls fromsystem:serviceaccount:kube-system:*for example." → "The audit policy is managed by SKE and cannot be tuned in any way, so you cannot tell the kube-apiserver to skipwatchcalls fromsystem:serviceaccount:kube-system:*, for example."grafana_urloutput. Get credentials via portal." → "Open thegrafana_urloutput. Get credentials via the portal."logql\n{service_name=\"ske\", service_instance_id=\"audit-demo\"}\n" → "logql\n{service_name=\"ske\", service_instance_id=\"audit-demo\"}\n" (no change needed — already correct)🔍 STACKIT Cloud Advisor
✅ No spelling or grammar issues found.
⚠️ 🏗️ Infrastructure Changes
🤖 STACKIT Model Serving
⚠️ No destructive changes detected. All resources are new creations.
🔍 STACKIT Cloud Advisor
1. Identified STACKIT Services
The pull request provisions a complete telemetry pipeline to capture and store SKE audit logs. The following services are being introduced:
stackit_ske_cluster.this) with audit logging enabled. It includes a node pool using the Flatcar OS.stackit_network.ske_nodes) is created to host the SKE nodes.stackit_observability_instance.audit) is provisioned to act as the long-term storage and visualization layer (Loki/Grafana). It includes specific credentials for ingestion.stackit_telemetryrouter_instance.this) is provisioned to act as the central ingestion and distribution point.stackit_telemetrylink.this) is established to connect the project's audit stream to the Telemetry Router.Data Flow Topology:
2. STACKIT Best Practices & Architectural Review
While the implementation is functional, there are several architectural considerations regarding STACKIT best practices:
Observability-Large-EU01plan. Ensure this aligns with your expected log volume. Note that the Observability Large plan has a specific limit of 1,000 GB for log storage “Detailed limits for Observability plans”.telemetry_aclis currently set to["0.0.0.0/0"]. This is highly permissive. For a production environment, you should restrict access to the Observability instance to known IP ranges or specific internal networks.stackit_telemetryrouter_destinationuses theotlp_http_logs_urlfrom the Observability instance. This is correct, but ensure that the destination URI in any manual configurations includes the full OTLP-compliant path ending in/v1/logs, as the router does not append this automatically “The destination URI must include the full OTLP-compliant path for logs, ending in /v1/logs”.3. Service Quotas, Constraints, and Limitations
Before applying this change, please be aware of the following technical constraints:
var.stackit_regionis consistent across the SKE cluster, the Router, and the Observability instance.observability_logs_retention_daysis set to7. This is within the allowed range (up to 30 days), but ensure it meets your compliance needs.⚠️ 🔒 Security Review
🤖 STACKIT Model Serving
✅ No security issues found.
🔍 STACKIT Cloud Advisor
Security Review Findings
Based on the provided git diff, I have identified several security considerations regarding the deployment of the SKE cluster, the Observability instance, and the Telemetry Router.
1. STACKIT IAM & Authorization Misconfigurations
The variable
telemetry_aclin020-variables.tfis defaulted to["0.0.0.0/0"]. This is applied to thestackit_observability_instancein040-observability.tf. In a production environment, allowing open access to your observability/logging endpoint is a significant risk. It is recommended to restrict this to known corporate IP ranges or specific management networks Enhance The Security Of Your Cluster Enhance The Security Of Your Cluster.The code notes that for demo purposes, the router lives in the same project as the cluster [050-telemetry-router.tf]. While acceptable for a proof-of-concept, a production architecture should ideally run the Telemetry Router in a dedicated "hub" project to isolate the telemetry ingestion plane from the workload plane.
2. Missing STACKIT-Specific Security Controls
The
stackit_ske_clusterresource in070-ske-cluster.tfdoes not implement theextensions.aclblock. Without this, the Kubernetes API server is not restricted by source IP ranges. For production, you should implement theaclextension to limit access to trusted CIDRs, such as corporate VPNs or CI/CD egress IPs Configure Access Control For Your Cluster.The pull request defines a
stackit_networkfor SKE nodes, but there are no KubernetesNetworkPolicyresources defined to control pod-to-pod traffic. By default, pods in a cluster can communicate broadly Containers & Kubernetes Security — Network Security & Cluster Hardening. I recommend implementing a "default-deny" ingress policy as a starting point for all namespaces Enhance The Security Of Your Cluster Containers & Kubernetes Security — Network Security & Cluster Hardening.The current configuration does not explicitly enable private cluster features. Depending on your security requirements, you may want to evaluate if the API server and node communication should be restricted to private networks to reduce the public attack surface Enhance The Security Of Your Cluster.
3. Secrets and Sensitive Values
The provider configuration in
010-provider.tfusesvar.stackit_service_account_key_path. As long as this variable points to a local file path on the runner and is not hard-coded as a string within the.tffiles, this follows standard practice. However, ensure the JSON key itself is never committed to version control.4. Compliance and Audit-Logging Considerations
The configuration correctly enables SKE audit logging via
audit = { enabled = true }in070-ske-cluster.tf. This is a critical requirement for capturing security-relevant events such as Secret access or RBAC changes Containers & Kubernetes Security — Secure Operations on Kubernetes.The implementation of the
stackit_telemetryrouter_instanceandstackit_telemetrylinkprovides a robust mechanism for centralizing SKE kube-apiserver audit logs into the STACKIT Observability instance. This supports the requirement for centralized logging and long-term retention Containers & Kubernetes Security — Secure Operations on Kubernetes.Summary Table
0.0.0.0/0)telemetry_aclto trusted CIDRs.extensions.aclinstackit_ske_cluster.NetworkPolicybaseline.✅ 📐 Example Consistency
🤖 STACKIT Model Serving
✅ Example follows repository conventions.
🔍 STACKIT Cloud Advisor
The provided git diff has been reviewed against the established repository conventions and STACKIT-specific provider requirements. While the example is largely well-structured, there are several deviations regarding repository conventions and provider configuration.
🔍 Repository Convention Deviations
010-,020-pattern.stackit_project_idin020-variables.tflacks adescriptionattribute.required_providersblock in010-provider.tfuses>=constraints instead of pinning to an exact version..tffiles.Fix: Missing Variable Description
The variable
stackit_project_idmust include a description to comply with the requirement that all variables have a description attribute.Fix: Provider Version Pinning
To ensure environment stability and comply with the requirement for explicit version constraints, avoid using range operators like
>=in therequired_providersblock.☁️ STACKIT Provider & Usage Observations
1. Authentication Method
The example uses the Key flow via
service_account_key_pathSTACKIT Terraform Provider. This is the recommended method for most projects Terraform Fundamentals — Setting Up the Environment and Authentication. However, for CI/CD workloads, I recommend transitioning to Workload Identity Federation (WIF) to eliminate long-lived secrets STACKIT Terraform Provider.2. Beta Resources & Experiments
The configuration correctly enables beta resources and specific experiments required for this architecture:
enable_beta_resources = trueis required to access certain features Stackit Terraform Provider Stackit Terraform Provider.experiments = ["ske"]is explicitly set in thestackitprovider block to support theephemeralresourcestackit_ske_kubeconfigSTACKIT Terraform Provider.3. S3 Backend Note
While the example does not implement a remote backend, please note that if you move to an S3 backend using STACKIT Object Storage, setting
use_lockfile = truecurrently has no effect STACKIT Terraform Provider. For state locking, a PostgreSQL backend is the recommended alternative STACKIT Terraform Provider.4. SKE Audit Logs (Private Preview)
As noted in the
README.md, theaudit = { enabled = true }configuration forstackit_ske_clusteris currently in private preview [README]. Ensure your account is explicitly enabled by STACKIT before attempting to apply this configuration.✅ 📚 Example README
🤖 STACKIT Model Serving
✅ Example READMEs are complete.
🔍 STACKIT Cloud Advisor
Review of
examples/ske-kubeapi-audit-logI have reviewed the git diff for the new example directory. Below is my architectural assessment regarding the naming conventions and documentation quality.
1. Naming Analysis
The directory name
ske-kubeapi-audit-logis highly effective and meets our architectural standards for clarity and accuracy.stackit_ske_clusterwithaudit = { enabled = true }) and the logical flow of the telemetry pipeline described in the README.2. README Quality Assessment
The
README.mdis comprehensive and high-quality, providing significant value for a cloud architect or DevOps engineer looking to implement this pattern.\rightarrowRouter Instance\rightarrowDestination\rightarrowQuery time), which is critical for managing log volume and costs in a production environment.terraform initandterraform applycommands.Summary Table
✅ Example READMEs are complete.
✅ 💬 Commit Messages
🤖 STACKIT Model Serving
✅ Commit messages are descriptive.
🔍 STACKIT Cloud Advisor
All provided commit messages are sufficiently descriptive.
✅ Commit messages are descriptive.
✅ 🏷️ Tag Quality
🤖 STACKIT Model Serving
✅ README tags accurately reflect the content.
🔍 STACKIT Cloud Advisor
README Tag Review
I have reviewed the
README.mdtags for the new exampleexamples/ske-kubeapi-audit-log/. While the tags capture the general intent of the repository, they require adjustments to align with STACKIT product naming conventions and to ensure all relevant managed services are represented.Analysis of
examples/ske-kubeapi-audit-log/README.mdThe current tag line is:
<!-- tags: ske, kubernetes, audit-log, kube-apiserver, observability, otel, telemetry-router, telemetry-link -->1. STACKIT Product Naming & Accuracy
ske: Correct. This refers to the STACKIT Kubernetes Engine Ship Traces Logs Metrics To Observability Using Opentelemetry.observability: Correct. This refers to the STACKIT Observability service Architecture Of Observability Introduction To Observability.telemetry-router: Correct. This refers to the STACKIT Telemetry Router Architecture Faq.telemetry-link: Correct. This refers to the Telemetry Link component Architecture Architecture.stackit_network) to provide the node network for the SKE cluster. While "network" is a generic term, in a professional-service repository, explicitly tagging the infrastructure component is beneficial.2. Open-Source Tools & Patterns
otel: While technically correct (referring to OpenTelemetry), the standard convention in this repository for the protocol/pattern isopentelemetryto match the service capabilities Architecture Ship Traces Logs Metrics To Observability Using Opentelemetry.kubernetes/audit-log/kube-apiserver: These are descriptive of the workload/pattern rather than the STACKIT product, which is acceptable for discovery, but they do not conflict with the requirements.3. Formatting
lowercase-and-hyphen-separatedrule.Summary of Findings
skeobservabilitytelemetry-routertelemetry-linkotelopentelemetryfor consistency with documentation Ship Traces Logs Metrics To Observability Using Opentelemetry.networkto reflect thestackit_networkresource.Suggested Correction
To ensure full coverage of the managed resources and consistent naming, please update the first line of
examples/ske-kubeapi-audit-log/README.mdto:Generated automatically — treat as a hint, not a gate.
🤖 AI PR Review
⚠️ 📝 Spelling & Grammar
🤖 STACKIT Model Serving
watchcalls fromsystem:serviceaccount:kube-system:*for example." → "The audit policy is managed by SKE and cannot be tuned in any way, so you cannot tell the kube-apiserver to skipwatchcalls fromsystem:serviceaccount:kube-system:*, for example."kubernetes-audit." → "So at this level, we cannot filter on the JSON-formatted content / log line of the kube-apiserver audit logs itself. In this case, we just filter on our cluster name andkubernetes-audit."grafana_urloutput. Get credentials via portal." → "Open thegrafana_urloutput. Get credentials via the portal."logql\n{service_name=\"ske\", stackit_log_kind=\"kubernetes-audit\", service_instance_id=\"audit-demo\"}\n | json user=\"user.username\", verb=\"verb\", res=\"objectRef.resource\", ns=\"objectRef.namespace\", stage=\"stage\"\n | user !~ `system:.*`\n | user !~ `gardener\\.cloud:.*`\n" → "logql\n{service_name=\"ske\", stackit_log_kind=\"kubernetes-audit\", service_instance_id=\"audit-demo\"}\n | json user=\"user.username\", verb=\"verb\", res=\"objectRef.resource\", ns=\"objectRef.namespace\", stage=\"stage\"\n | user !~ `system:.*`\n | user !~ `gardener\\.cloud:.*`\n"🔍 STACKIT Cloud Advisor
AGENTS.md: line 158: "analysed" -> "analyzed" (Note: While "analysed" is correct in British English, the surrounding documentation and STACKIT technical prose typically follow US English conventions; however, if strictly checking for errors, this is a regional spelling variation rather than a definitive error. Given the context of technical documentation, consistency is key.)
README.md: line 11: "analysed" -> "analyzed"
README.md: line 23: "private review" -> "private preview"
README.md: line 33: "SNA" -> "SNA" (Note: The term "SNA" is used in the text, but the source documentation provided does not define this acronym. As an architect, I recommend ensuring "SNA" is defined earlier in the document or replaced with the full term to avoid ambiguity for new users.)
README.md: line 38: "private review" -> "private preview"
⚠️ 🏗️ Infrastructure Changes
🤖 STACKIT Model Serving
🔍 STACKIT Cloud Advisor
1. Identified STACKIT Services
The pull request provisions a complete telemetry pipeline to capture and store SKE audit logs. The following services are being introduced:
audit.enabled = trueto generate the required log stream.stackit_networkis created to host the SKE nodes.stackit_observability_instanceis provisioned (using theObservability-Large-EU01plan) to act as the long-term storage and visualization layer (Loki/Grafana).stackit_telemetryrouter_instanceis provisioned to act as the central ingestion and distribution point.stackit_telemetrylinkis established to connect the project's audit stream to the Telemetry Router.Data Flow Architecture:
2. Best Practices & Architectural Review
While the implementation is functional for a demo, several points should be addressed for a production-grade environment:
Observability-Large-EU01plan. This is a high-capacity plan. Ensure the scale of audit logs justifies this, as routing data to internal services incurs fees Overview.telemetry_aclis currently set to["0.0.0.0/0"]. This is highly permissive. In a production scenario, the Observability instance's ACL should be restricted to known sources or managed via tighter network controls.observability_logs_retention_daysis set to7. Note that for Observability plans, the default retention for logs is 5 days, and it can be configured up to 30 days Service Plans Observability. Ensure your compliance requirements align with this setting.3. Service Quotas, Constraints, and Limitations
Please be aware of the following technical constraints relevant to this deployment:
var.stackit_region, this is currently satisfied./v1/logs(e.g.,.../v1/logs), as the Telemetry Router does not automatically append this path Faq.⚠️ 🔒 Security Review
🤖 STACKIT Model Serving
✅ No security issues found.
🔍 STACKIT Cloud Advisor
1. STACKIT IAM or Authorization Misconfigurations
The variable
telemetry_aclin020-variables.tfis set to["0.0.0.0/0"]. This allows full access to the Observability instance (including Grafana, Metrics, Logs, and Traces) from any IP address on the internet How To Control Instance Access. For a production environment, this should be restricted to known corporate IP ranges or specific management networks Enhance The Security Of Your Cluster.The
stackit_telemetrylinkresource connects the entire project to the telemetry router [060-telemetry-link.tf]. While this is a standard way to stream logs, ensure that the service account used to deploy this infrastructure follows the principle of least privilege, as it manages cross-resource links and telemetry routing.2. Missing STACKIT-Specific Security Controls
The SKE cluster configuration in
070-ske-cluster.tfdoes not define anaclblock. By default, the Kubernetes API server is exposed to the internet. It is a best practice to restrict API server access to specific, trusted CIDR ranges (e.g., corporate VPN or CI/CD ranges) to reduce the attack surface Enhance The Security Of Your Cluster.While the code creates a
kubernetes_namespace_v1and akubernetes_config_map_v1for a canary workload, there are nokubernetes_network_policyresources defined. Without a "default-deny" policy, pods in the cluster may be able to communicate broadly, increasing the risk of lateral movement if a workload is compromised Containers & Kubernetes Security — Network Security & Cluster Hardening.The
observability_plan_nameis set toObservability-Large-EU01. While this is a valid plan, ensure the plan size aligns with the expected log volume to prevent performance issues or unexpected costs, though this is more of an operational concern than a direct security gap.3. Secrets, Credentials, or Sensitive Values
The provider configuration in
010-provider.tfusesvar.stackit_service_account_key_path. While the path itself is not hard-coded, the security of the entire deployment depends on the protection of the JSON key file located at that path. Ensure this file is never committed to version control and is managed via a secure secret management system Containers & Kubernetes Security — Identity, Access & Workload Protection.The
stackit_project_idin020-variables.tfcontains a placeholder (xxxxxxxx-xxxx...). This is acceptable for a template, but ensure the actual value is passed via a sensitive variable or environment variable during runtime.4. STACKIT Compliance and Audit-Logging Considerations
The SKE cluster correctly has
audit = { enabled = true }configured in070-ske-cluster.tf. This is a critical requirement for capturing Kubernetes API activity, such as secret access or RBAC changes, which is essential for incident investigation and compliance Containers & Kubernetes Security — Secure Operations on Kubernetes.The
observability_logs_retention_daysis set to7. While this satisfies the technical setup, organizations should ensure this retention period aligns with their specific legal, regulatory, or internal security requirements (e.g., many organizations require 90 days or more) Security Operations & Threat Detection — Security Visibility & Logging.Summary Architecture of the Proposed Setup
telemetry_aclto trusted IPs How To Control Instance Access⚠️ 📐 Example Consistency
🤖 STACKIT Model Serving
✅ Example follows repository conventions.
🔍 STACKIT Cloud Advisor
The provided git diff has been reviewed against the repository conventions and STACKIT-specific provider requirements. While the example follows most structural conventions, there are critical deviations regarding provider versioning and SKE resource configuration.
🚩 Repository Convention Deviations
1. Missing Variable Descriptions
The variable
stackit_project_idin020-variables.tflacks adescriptionattribute. All variables must have a description.2. Inconsistent Provider Version Constraints
The repository convention requires all providers in
required_providersblocks to have an explicit version constraint. In010-provider.tf, thekubernetesprovider uses a minimum version constraint (>= 2.30.0), which is too broad for a strict convention. It should be pinned or constrained more tightly.☁️ STACKIT & SKE Specific Concerns
1. SKE Node Pool Configuration (Critical)
In
070-ske-cluster.tf, thenode_poolsconfiguration definesmax_surge = 1.According to the SKE FAQ, if a node pool is configured across multiple Availability Zones (e.g.,
eu01-1,eu01-2,eu01-3), amax_surgevalue less than the number of configured AZs can result in downtime during rolling updates because the surge capacity is distributed across sub-pools Faq.To ensure high availability during updates for a multi-AZ pool,
max_surgeshould be increased to match the number of AZs.2. SKE Kubernetes Versioning
The example uses
kubernetes_version_minto drive the cluster version. While this is valid, note that SKE automatically manages updates ifmaintenance.enable_kubernetes_version_updatesis set totruestackit_ske_cluster Resource. The use oflifecycle { ignore_changes = [ kubernetes_version_min ] }in070-ske-cluster.tfis a correct architectural decision to prevent Terraform from fighting the SKE managed update process.3. Ephemeral Kubeconfig Usage
The use of the
ephemeral "stackit_ske_kubeconfig"resource is the recommended pattern for connecting thekubernetesprovider to a newly created SKE cluster, as it avoids the need to manage static, long-lived credentials Using Kubernetes Provider with STACKIT SKE.Summary of Architecture Flow
✅ 📚 Example README
🤖 STACKIT Model Serving
✅ Example READMEs are complete.
🔍 STACKIT Cloud Advisor
Review of
examples/ske-kubeapi-audit-logI have reviewed the git diff for the new example directory. Below is my assessment based on your requirements.
1. Naming
The directory name
ske-kubeapi-audit-logis excellent.ske-velero-backup).2. README Quality
The
README.mdis high quality and meets all architectural documentation standards.\rightarrowTelemetry Router\rightarrowObservability instance (Loki + Grafana). It also provides critical context regarding the "Private Preview" status of theaudit = { enabled = true }feature, which is vital for customer expectations.terraform.tfvars.terraform initandterraform apply.terraform destroy.Summary Table
init,apply, anddestroy.✅ Example READMEs are complete.
✅ 💬 Commit Messages
🤖 STACKIT Model Serving
✅ Commit messages are descriptive.
🔍 STACKIT Cloud Advisor
Based on my review of the provided commit messages, I have identified one entry that is too vague to provide meaningful context for a professional services repository. While the other messages clearly state the scope (e.g.,
skefor Stackit Kubernetes Engine) and the specific action taken, the first message lacks sufficient detail.Commit Message Quality Audit
chore(agents): generate agents.mddocs(agents): generate documentation for agent deployment configurationsexample(ske): fix telemetry router destination filter level and keysexample(ske): add example for kubeapi audit logsArchitect's Recommendation for Improvement
To maintain a high-quality repository, especially within professional services where these commits often serve as a reference for customers, I recommend adhering to the following principles:
ske,workflows,notebooks) to allow developers to quickly filter history by STACKIT service.⚠️ 🏷️ Tag Quality
🤖 STACKIT Model Serving
✅ README tags accurately reflect the content.
🔍 STACKIT Cloud Advisor
README Tag Review:
examples/ske-kubeapi-audit-log/I have reviewed the tags in the newly introduced example
examples/ske-kubeapi-audit-log/. While the tags capture the general intent, there are several discrepancies regarding STACKIT product naming conventions and missing technical patterns that should be addressed to ensure consistency with our professional service standards.1. STACKIT Product Tagging
The current tags include
otelandtelemetry-router, which are technical components, but they miss the official STACKIT product names required for accurate resource categorization.observabilityandtelemetry-router, but do not explicitly use the STACKIT product identifiers for the core services being orchestrated.ske,observability) are present.2. Missing Open-Source Tools & Patterns
The example demonstrates a sophisticated telemetry pipeline using OpenTelemetry (OTel) standards to bridge SKE and Observability.
otelis present, the specific pattern of using OpenTelemetry as a standard for shipping logs is a key architectural detail that should be explicitly tagged to help users find pattern-based examples.kubernetes(via the provider), which is correctly tagged.3. Tag Formatting & Consistency
Summary of Findings & Recommendations
examples/ske-kubeapi-audit-log/README.md<!-- tags: ske, kubernetes, audit-log, kube-apiserver, observability, otel, telemetry-router, telemetry-link --><!-- tags: ske, observability, telemetry-router, telemetry-link, kubernetes, opentelemetry, audit-log -->Architectural Context
To visualize why these tags are critical, here is the data flow being documented in this example:
Architect's Note:
I recommend updating the tags to include
opentelemetryinstead of justotelto align with the full name of the standard used in thestackit_telemetryrouter_destinationconfiguration, and ensuringobservabilityis treated as the primary product tag.Generated automatically — treat as a hint, not a gate.
🤖 AI PR Review
⚠️ 📝 Spelling & Grammar
🤖 STACKIT Model Serving
get/list/watchcalls coming from kublet or gardener (infrastructure to manage your SKE). This can be overwhelming so this example aims to show how you can view relevant audit logs as well.” → “A lot of logs are produced by the cluster itself, doingget/list/watchcalls coming from kubelet or gardener (infrastructure to manage your SKE). This can be overwhelming, so this example aims to show how you can view relevant audit logs as well.”grafana_urloutput. Get credentials via portal.” → “Open thegrafana_urloutput. Get credentials via the portal.”🔍 STACKIT Cloud Advisor
✅ No spelling or grammar issues found.
⚠️ 🏗️ Infrastructure Changes
🤖 STACKIT Model Serving
🔍 STACKIT Cloud Advisor
1. Identified STACKIT Services
The pull request provisions a complete telemetry pipeline to capture and store SKE audit logs. The following services are being introduced:
audit.enabled = trueto generate the required log stream.stackit_networkis created to host the SKE nodes.stackit_observability_instanceis provisioned (using theObservability-Large-EU01plan) to act as the long-term storage and visualization layer (Loki/Grafana).stackit_telemetryrouter_instanceis provisioned to act as the central ingestion and distribution point.stackit_telemetrylinkis created to connect the project's audit stream to the Telemetry Router.Data Flow Architecture:
2. Best Practices & Architectural Review
While the implementation is functional, there are several architectural considerations regarding STACKIT best practices:
Observability-Large-EU01plan. This is a high-capacity plan providing up to 1,000 GB of log storage and 300,000 metrics samples per minute Service Plans Observability. Ensure this aligns with your actual volume to avoid unnecessary costs.telemetry_aclis currently set to["0.0.0.0/0"]. This is highly permissive. For a production observability instance, you should restrict this ACL to known source IP ranges or specific network segments.observability_logs_retention_daysis set to7. Note that for the Observability plan group, the default retention is 5 days, and it can be configured up to 30 days Service Plans Observability.3. Service Quotas, Constraints, and Limitations
Please be aware of the following technical constraints identified in the service documentation:
eu01, this is compliant.Largeplan, you have a limit of 1,000 GB for logs Service Plans Observability./v1/logs. The router does not append this automatically Faq. (The current Terraform code correctly usesotlp_http_logs_url, which should include this path).⚠️ 🔒 Security Review
🤖 STACKIT Model Serving
✅ No security issues found.
🔍 STACKIT Cloud Advisor
1. STACKIT IAM or Authorization Misconfigurations
The variable
telemetry_aclin020-variables.tfis defaulted to["0.0.0.0/0"]. This allows full access to the Observability instance (Grafana, Metrics, Logs, and Traces) from any IP address on the internet How To Control Instance Access. For production environments, it is highly recommended to restrict this to known corporate IP ranges or specific administrative IPs Enhance The Security Of Your Cluster.The provider configuration in
010-provider.tfrelies onvar.stackit_service_account_key_path. While using a path is standard for Terraform, ensure that the underlying JSON key file is managed securely (e.g., via a secrets manager) and not committed to version control.2. Missing STACKIT-Specific Security Controls
The
stackit_ske_clusterresource in070-ske-cluster.tfdoes not implement theextensions.aclblock. Currently, the Kubernetes API server is not restricted to specific IP ranges Configure Access Control For Your Cluster. In a production setup, you should defineallowed_cidrsto limit access to trusted networks, such as CI/CD egress IPs or corporate VPNs Enhance The Security Of Your Cluster Configure Access Control For Your Cluster.The pull request defines a
stackit_networkfor SKE nodes, but there are no KubernetesNetworkPolicyresources defined to control pod-to-pod traffic Containers & Kubernetes Security — Network Security & Cluster Hardening. By default, pods in a cluster may be able to communicate broadly Containers & Kubernetes Security — Network Security & Cluster Hardening. It is a best practice to implement a "default-deny" policy for namespaces and explicitly allow only required communication paths Containers & Kubernetes Security — Network Security & Cluster Hardening.The current configuration does not explicitly enable private cluster features. For high-security environments, consider using private endpoints to ensure the API server is not reachable via the public internet Enhance The Security Of Your Cluster.
3. Hard-coded Secrets and Sensitive Values
The
stackit_project_idin020-variables.tfcontains a placeholder (xxxxxxxx-xxxx...). While this is a placeholder, ensure that the actual value is passed via a sensitive variable or environment variable in your CI/CD pipeline to avoid leaking the project ID in logs.4. STACKIT Compliance and Audit-Logging Considerations
The configuration correctly enables SKE audit logging via
audit = { enabled = true }in070-ske-cluster.tfConfigure Access Control For Your Cluster. This is a critical control for capturing security-relevant events such as Secret access, RBAC changes, and workload modifications Containers & Kubernetes Security — Secure Operations on Kubernetes.The use of
stackit_observability_instancewith a definedlogs_retention_days(defaulting to 7 days in020-variables.tf) supports the requirement to centralize and retain logs for audit purposes Containers & Kubernetes Security — Secure Operations on Kubernetes. However, ensure the retention period meets your specific organizational or regulatory compliance requirements.Summary Architecture of the Proposed Change
extensions.aclwith specific CIDRs Configure Access Control For Your Cluster.aclto trusted IP ranges How To Control Instance Access.NetworkPolicy(Default Deny) Containers & Kubernetes Security — Network Security & Cluster Hardening.⚠️ 📐 Example Consistency
🤖 STACKIT Model Serving
✅ Example follows repository conventions.
🔍 STACKIT Cloud Advisor
Provider Versioning and Constraints Review
Upon reviewing the
required_providersblocks in010-provider.tfagainst the repository conventions and the provided STACKIT documentation, I have identified several deviations regarding version constraints.1. Non-Explicit Version Constraints
The repository convention requires that all providers in
required_providersblocks have an explicit version constraint. While thestackitprovider uses a minimum version constraint (>= 0.113.0), thekubernetesprovider also uses a minimum version constraint (>= 2.30.0). To ensure environment stability and prevent unexpected breaking changes duringterraform init, it is best practice to pin these to specific versions or use pessimistic version constraints (e.g.,~>).2. STACKIT Provider Versioning Concern
The
010-provider.tffile specifies:While this satisfies the "explicit" requirement by providing a version, using
>=in an example repository can lead to different users running different provider versions, which contradicts the purpose of the committed.terraform.lock.hclfile. For a consistent architectural baseline, therequired_providersversion should ideally match the version recorded in the lock file.3. Kubernetes Provider Constraint
The
kubernetesprovider is used to manage resources within the SKE cluster. The current constraint is:This should be tightened to ensure that the provider version used during development is the same one used in production.
Recommended Fixes
To align with repository conventions and ensure reproducible infrastructure, update the
terraformblock in010-provider.tfto use exact or more restrictive versioning:✅ 📚 Example README
🤖 STACKIT Model Serving
✅ Example READMEs are complete.
🔍 STACKIT Cloud Advisor
Review of
examples/ske-kubeapi-audit-logI have reviewed the provided git diff for the new STACKIT example. Below is my architectural assessment regarding the naming conventions and documentation quality.
1. Naming Assessment
The directory name
ske-kubeapi-audit-logis highly accurate and descriptive.stackit_ske_clusterwithaudit = { enabled = true }Audit Logging) and the functional flow described in the README.2. README Quality Assessment
The
README.mdis exceptionally high quality and meets all professional standards for a cloud architect's reference.service_instance_id,stackit_log_kind) derived from the OpenTelemetry schema used by the Telemetry Router Dataformats.audit = { enabled = true }feature is in private preview and requires account enablement, preventing user frustration during deployment.Summary Table
service-usecasepattern.terraform init/applyworkflow is present.✅ Example READMEs are complete.
⚠️ 💬 Commit Messages
🤖 STACKIT Model Serving
🔍 STACKIT Cloud Advisor
Based on my review of the provided commit messages, I have identified one message that is too vague to provide meaningful context for a professional services repository. Following the best practices for version control, commit messages should describe the WHAT and the WHY of a change to ensure traceability DevOps Fundamentals — Version Control and STACKIT Git.
🚩 Vague Commit Analysis
chore: fix pre-commitchore: fix regex validation in pre-commit linting hookchore(agents): generate agents.mdagents) and the action (generating a documentation file).example(ske): fix telemetry router destination filter level and keysexample(ske): add example for kubeapi audit logs💡 Architect's Advisory: Improving Commit Quality
In a DevOps environment, especially when working with STACKIT Git DevOps Fundamentals — Version Control and STACKIT Git, meaningful commit messages are critical for high-velocity, safe development. Vague messages hinder the ability to perform effective code reviews and complicate the process of reverting changes if a failure occurs in your CI/CD pipeline DevOps Fundamentals — Version Control and STACKIT Git.
Recommended Commit Structure
To maintain a professional standard in your repository, I recommend following this structure for all future commits:
Ref: #123).Comparison of Commit Styles
git log.Pro-Tip: If you are using STACKIT-managed Runners to automate your workflows Release Notes, descriptive commits allow you to better understand which specific change triggered a pipeline failure in your logs Release Notes.
⚠️ 🏷️ Tag Quality
🤖 STACKIT Model Serving
otelshould be changed toopentelemetryto match the correct product name and avoid ambiguity.kube-apiservershould be changed tokubeapito maintain consistency with the hyphen-separated lowercase convention and align with common usage in the STACKIT ecosystem.telemetry-routershould be changed totelemetryrouterto match the resource name and avoid unnecessary hyphenation.telemetry-linkshould be changed totelemetrylinkto match the resource name and avoid unnecessary hyphenation.audit-logshould be changed toauditto simplify and align with common tagging practices for this functionality.Corrected tag line:
<!-- tags: ske, kubernetes, audit, kubeapi, observability, opentelemetry, telemetryrouter, telemetrylink -->🔍 STACKIT Cloud Advisor
I have reviewed the git diff for the new
examples/ske-kubeapi-audit-logresource. While the example provides a comprehensive setup for shipping SKE audit logs to an Observability instance, the README tags require adjustments to align with STACKIT product naming conventions and to include important architectural patterns used in the implementation.Tag Review:
examples/ske-kubeapi-audit-log/README.mdThe current tag line is:
<!-- tags: ske, kubernetes, audit-log, kube-apiserver, observability, otel, telemetry-router, telemetry-link -->1. STACKIT Product Naming
The tags use
skeandobservability. While these are the functional names, they should ideally align with the official STACKIT product identifiers used in documentation to ensure consistency.2. Missing Patterns and Tools
The implementation relies heavily on specific open-source patterns and protocols that are not captured in the current tags:
otelis present, the implementation specifically uses the OTLP protocol for ingestion Ship Traces Logs Metrics To Observability Using Opentelemetry.3. Formatting
All existing tags follow the lowercase and hyphen-separated requirement.
Summary of Findings & Recommendations
examples/ske-kubeapi-audit-log/README.mdloki,grafana) and protocol specificity (otlp).Suggested corrected tag line:
<!-- tags: ske, kubernetes, audit-log, kube-apiserver, observability, otel, otlp, telemetry-router, telemetry-link, loki, grafana -->Architectural Context
To visualize how these tags map to the resources being deployed:
Generated automatically — treat as a hint, not a gate.