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Adds a `stackit/` root module deploying GoodData.CN onto STACKIT Kubernetes Engine, at parity with `azure/` minus image caching. - SKE cluster with a reserved system pool and an autoscaling workload pool. SKE has no Karpenter provider, so capacity comes from node-pool min/max bounds that SKE's own cluster autoscaler scales between; machine_type is the sizing lever and is user-overridable. - PostgreSQL Flex, with SNA private networking or a public endpoint ACL'd to the cluster's egress ranges. - Object Storage for GoodData.CN and observability, on separate credentials groups so a leaked observability key cannot reach GoodData.CN data. - Optional STACKIT DNS via SKE's DNS extension (managed externalDNS), so there is no self-hosted external-dns release. - SKE ships its storage classes, metrics-server and the yawol load balancer, so there is nothing to install for those. Shared module changes: gdcn-local.yaml.tftpl becomes a generic-S3 values file parameterised by scheme, shared by the local and STACKIT installs, with the k3d-only loopback and self-signed-cert settings split into their own overlay. `cloud` gains a validation, since an unlisted value silently drops the object-storage values file from the release. Image caching is unsupported on STACKIT: its Container Registry has no Terraform resources. The registry_* variables point upstream and can be aimed at a mirror. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Included review availability: 3 reviews are currently available. Your included PR review attempts over the past 7 days set your current allowance at 5 reviews per hour. 📝 WalkthroughWalkthroughThe change adds STACKIT as a Terraform deployment environment. It provisions networking, DNS, PostgreSQL, Object Storage, and SKE resources. It integrates GoodData.CN with STACKIT storage and updates tooling, validation, examples, and documentation. ChangesSTACKIT deployment foundation
STACKIT infrastructure services
SKE cluster and GoodData.CN integration
Tooling and repository workflows
Estimated code review effort: 5 (Critical) | ~120 minutes Merge Risk: ⚪ Minimal · up to The PR adds STACKIT support and related configuration without any actionable merge-blocking risk remaining; it is merge-ready after normal checks and review. Sequence Diagram(s)sequenceDiagram
participant Terraform
participant STACKIT
participant Kubernetes
participant GoodDataCN
Terraform->>STACKIT: Provision network, database, buckets, and SKE cluster
STACKIT-->>Terraform: Return endpoints and short-lived kubeconfig
Terraform->>Kubernetes: Configure Kubernetes, Helm, and kubectl providers
Terraform->>GoodDataCN: Deploy common resources with STACKIT storage settings
GoodDataCN-->>Terraform: Return hostnames and organization outputs
Poem
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 1 functions across 3 files. (2 skipped: 2 unsupported.)
✨ Finishing Touches 💡 1📝 Generate docstrings 💡
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Inline comments:
In @.devcontainer/setup.sh:
- Around line 61-62: Update the Debian package download/install flow around curl
and dpkg to create a unique temporary file with mktemp, use that path for both
operations, and register a trap to remove it on exit. Preserve the existing
dependency-fix fallback behavior.
In `@stackit/variables.tf`:
- Line 305: Update the ACL CIDR variable validation and its interaction with
stackit_private_networking so at least one allowed CIDR is required whenever
public networking is enabled, preventing stackit/ske.tf from omitting the ACL
extension; preserve private-networking behavior, and use a separate explicit
opt-in variable if unrestricted public access must remain supported.
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.claude/skills/sync-settings-tfvars/SKILL.md.devcontainer/setup.shAGENTS.mdCLAUDE.mdREADME.mdmodules/k8s-common/gooddata-cn.tfmodules/k8s-common/templates/gdcn-local-insecure.yaml.tftplmodules/k8s-common/templates/gdcn-s3-generic.yaml.tftplmodules/k8s-common/variables.tfscripts/configure-kubectl.shscripts/lib/common.shstackit/dns.tfstackit/k8s-common.tfstackit/network.tfstackit/outputs.tfstackit/postgresql.tfstackit/providers.tfstackit/settings.tfvars.examplestackit/size-profiles.tfstackit/ske.tfstackit/storage.tfstackit/variables.tf
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- Download the STACKIT CLI package to an mktemp path rather than a fixed /tmp name. dpkg runs under sudo, so a pre-created file or symlink there would let a local process choose what gets installed. - Require ske_api_server_authorized_ip_ranges when stackit_private_networking is false. That combination puts the control plane on the internet, and the empty default silently applied no ACL at all. "0.0.0.0/0" remains available as an explicit opt-in. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
rhefner1
marked this pull request as draft
September 4, 2026 08:58
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Adds a
stackit/root module deploying GoodData.CN onto STACKIT Kubernetes Engine, at parity withazure/minus image caching. Fourth cloud alongsideaws/,azure/andlocal/.Shape
CriticalAddonsOnlytaint) and an autoscaling workload pool. SKE has no Karpenter provider, so capacity comes from node-pool min/max bounds that SKE's own cluster autoscaler scales between —machine_typeis the sizing lever and is user-overridable, unlike Azure's system pool VM size.Shared module changes
gdcn-local.yaml.tftplbecomes a generic-S3 values file parameterised byscheme, shared by the local and STACKIT installs, with the k3d-only loopback and self-signed-cert settings split into their own overlay. Verified behaviour-preserving: rendering both new templates withscheme=httpand parsing as YAML reproduces the old file exactly, with disjoint top-level keys.variable "cloud"gains a validation. Without it an unlisted value silently drops that cloud's object-storage values file from thecompact([...])list, so the release applies green while GoodData.CN quietly falls back to chart defaults with no backing store.Not supported on STACKIT
Image caching — STACKIT's Container Registry has no Terraform resources.
enable_image_cacheis declared but validated to stayfalse, andregistry_dockerio/registry_quayio/registry_k8siopoint upstream and can be aimed at a mirror. Note this means Docker Hub anonymous pull limits apply.AI Lake stays AWS-only; the variable is deliberately not declared here so a stray tfvars entry is rejected rather than half-deploying StarRocks into a 30-minute timeout.
Verification
terraform fmt -recursiveclean;terraform validatepasses inaws/,local/andstackit/.terraform planonstackit/evaluates every variable validation, local and output, reaching provider authentication (fails only for lack of credentials here).enable_image_cache = true,prod-xl, and a hostname outside the DNS zone each fail as intended.azure/currently failsterraform validateon a fresh init, and that is pre-existing and unrelated to this PR —azurerm = ">= 4.0"now resolves to 5.0.1, which renamedazurerm_private_dns_zone_virtual_network_link's arguments. Nothing here touchesazure/. Worth a separate fix (pin~> 4.0, or migrate to the v5 schema).Review pass
A multi-agent review found and fixed a config-breaking bug before this was opened:
network.aclwas leftnullunder the defaultstackit_private_networking = true, but the provider requires exactly one ofacl/network.acl, so the default configuration was rejected outright.terraform validateandterraform planboth missed it because the value came from a variable and theExactlyOneOfvalidator defers while any input is unknown — reproduced with literals, fixed, and re-confirmed.Also corrected in the same pass: all three PostgreSQL flavor IDs were invalid (only
2.4, 2.16, 4.8, 4.32, 8.16, 16.32, 16.128exist, with-replicafor 3-node);kubectl config view --flattenwas inlining other clusters' key material into the user's kubeconfig, and the merge order made a re-run after expiry a no-op; and a comment overclaimed credential isolation that project-scoped credentials groups cannot provide.Known limitations
terraform destroy(noted in the README and instorage.tf).g2a.*d) and the chosen flavor shapes are the nearest available to the Azure profiles; they need one apply against a real project to confirm, as do theCriticalAddonsOnlytaint on Gardener's system components and whetherextensions.dnsaccepts a custom zone.prod-smallworkload pool minimum of 2 is likely a node short of steady-state demand (~16 vCPU / ~65 GiB of requests against ~29 GiB allocatable perg2a.8d). The autoscaler corrects it on Pending pods, so it self-heals, but 3 would be a more honest floor.🤖 Generated with Claude Code
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