From 43dbb81a9533c421ed0f0f2b68e52b4a1e6ae0e8 Mon Sep 17 00:00:00 2001 From: ILay Date: Wed, 26 Aug 2026 18:07:06 +0200 Subject: [PATCH] [SIMPL-30451] Add distributed-execution service with guide and reference implementations Canonical location for documentation, example workflows and reference service implementations covering distributed execution patterns. Covers AC1-AC4: execution-target selection, decision support, readiness checks and code-level linkage. Tightly coupled jobs and the loosely coupled subprocess transport are verified by the test suite; the Kubernetes pipes transport is implemented but not yet cluster-run and is marked as such in the guide. Changelog: added --- .gitignore | 5 + .gitlab/CODEOWNERS | 3 + CHANGELOG.md | 18 + Dockerfile | 43 + LICENSE | 3 + README.md | 85 + .../user-guide/distributed-execution-guide.md | 443 +++ documents/user-guide/readiness-checklist.md | 118 + payload/Dockerfile | 30 + payload/requirements.txt | 3 + payload/work.py | 55 + pipeline.variables.sh | 1 + pyproject.toml | 40 + requirements.txt | 6 + src/distributed_execution/__init__.py | 3 + .../loosely_coupled/__init__.py | 1 + .../loosely_coupled/jobs.py | 154 ++ src/distributed_execution/ops.py | 83 + src/distributed_execution/preflight.py | 61 + src/distributed_execution/repository.py | 10 + .../tightly_coupled/__init__.py | 1 + .../tightly_coupled/jobs.py | 97 + tests/__init__.py | 1 + tests/test_loosely_coupled.py | 86 + tests/test_tightly_coupled.py | 59 + uv.lock | 2444 +++++++++++++++++ workspace.yaml | 3 + yaml/loosely-coupled/rbac-pipes-dispatch.yaml | 41 + .../loosely-coupled/values-pipes-payload.yaml | 32 + yaml/tightly-coupled/rbac-step-executor.yaml | 34 + yaml/tightly-coupled/values-run-launcher.yaml | 54 + .../values-dagster-distributed-execution.yaml | 54 + 32 files changed, 4071 insertions(+) create mode 100644 .gitignore create mode 100644 .gitlab/CODEOWNERS create mode 100644 CHANGELOG.md create mode 100644 Dockerfile create mode 100644 LICENSE create mode 100644 README.md create mode 100644 documents/user-guide/distributed-execution-guide.md create mode 100644 documents/user-guide/readiness-checklist.md create mode 100644 payload/Dockerfile create mode 100644 payload/requirements.txt create mode 100644 payload/work.py create mode 100644 pipeline.variables.sh create mode 100644 pyproject.toml create mode 100644 requirements.txt create mode 100644 src/distributed_execution/__init__.py create mode 100644 src/distributed_execution/loosely_coupled/__init__.py create mode 100644 src/distributed_execution/loosely_coupled/jobs.py create mode 100644 src/distributed_execution/ops.py create mode 100644 src/distributed_execution/preflight.py create mode 100644 src/distributed_execution/repository.py create mode 100644 src/distributed_execution/tightly_coupled/__init__.py create mode 100644 src/distributed_execution/tightly_coupled/jobs.py create mode 100644 tests/__init__.py create mode 100644 tests/test_loosely_coupled.py create mode 100644 tests/test_tightly_coupled.py create mode 100644 uv.lock create mode 100644 workspace.yaml create mode 100644 yaml/loosely-coupled/rbac-pipes-dispatch.yaml create mode 100644 yaml/loosely-coupled/values-pipes-payload.yaml create mode 100644 yaml/tightly-coupled/rbac-step-executor.yaml create mode 100644 yaml/tightly-coupled/values-run-launcher.yaml create mode 100644 yaml/values-dagster-distributed-execution.yaml diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..1ba4784 --- /dev/null +++ b/.gitignore @@ -0,0 +1,5 @@ +*.egg-info/ +**/__pycache__/ +.venv/ +.pytest_cache/ +.coverage diff --git a/.gitlab/CODEOWNERS b/.gitlab/CODEOWNERS new file mode 100644 index 0000000..88039f6 --- /dev/null +++ b/.gitlab/CODEOWNERS @@ -0,0 +1,3 @@ +# All subgroup members as Code Owners for all files + +* @simpl/simpl-open/data/supporting-data-services diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..3985417 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,18 @@ +## 0.1.0 (unreleased) + +### added + +- Repository skeleton for the `distributed-execution` supporting data service. +- User guide covering execution-target selection, decision support and readiness checks. +- Runnable tightly coupled reference implementations (`in_process`, `multiprocess`, `k8s_job_executor`). +- Runnable loosely coupled reference implementations via dagster-pipes + (`PipesSubprocessClient`, `PipesK8sClient`) with a standalone external payload image. +- Working example configuration and RBAC for both execution targets. + +### pending + +- Publish the payload image to the container registry. +- End-to-end run of `loosely_coupled_k8s_job` against a cluster, and confirmation + of the Kubernetes rows in the readiness checklist. +- Screenshots of UI surfaces and integration-pattern diagrams. +- Platform architecture document update. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..5d5dd8d --- /dev/null +++ b/Dockerfile @@ -0,0 +1,43 @@ +FROM python:3.12-slim-bookworm + +COPY --from=ghcr.io/astral-sh/uv:0.10.8 /uv /uvx /bin/ + +RUN python -m pip install --no-cache-dir --upgrade "pip==26.1.2" + +WORKDIR /app + +# Explicit UID 1000 matches the runtime UID expected by the Dagster chart +RUN addgroup --gid 1000 appgroup && \ + adduser --uid 1000 --gid 1000 --disabled-password --gecos "" appuser + +RUN apt-get update && apt-get upgrade -y \ + && apt-get install -y --no-install-recommends \ + git=1:2.39.5-0+deb12u3 \ + curl=7.88.1-10+deb12u15 \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* + +RUN chown -R appuser:appgroup /app /opt + +COPY pyproject.toml . +COPY uv.lock . +COPY src/ ./src/ +COPY payload/ ./payload/ +COPY workspace.yaml . + +ENV UV_COMPILE_BYTECODE=1 +ENV UV_LINK_MODE=copy + +RUN --mount=type=cache,target=/root/.cache/uv \ + uv sync --locked --no-dev + +ENV PATH="/app/.venv/bin:${PATH}" +ENV PYTHONPATH="/app/src" + +USER appuser + +RUN dagster --version + +EXPOSE 4000 + +CMD ["dagster", "code-server", "start", "-h", "0.0.0.0", "-p", "4000", "-f", "src/distributed_execution/repository.py"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..531a5c4 --- /dev/null +++ b/LICENSE @@ -0,0 +1,3 @@ +# EUROPEAN UNION PUBLIC LICENCE v. 1.2 + +Refer to [licence description](https://eupl.eu/1.2/en/) diff --git a/README.md b/README.md new file mode 100644 index 0000000..4e4167f --- /dev/null +++ b/README.md @@ -0,0 +1,85 @@ +# Distributed Execution + +Canonical location for documentation, example workflows and reference service +implementations covering **distributed execution patterns** in the Simpl +orchestration platform. + +The service answers one question for every workflow: *where does the compute +actually run, and how does runtime information get back to the control plane?* + +## Contents + +| Area | Location | Status | +|---|---|---| +| User guide | [documents/user-guide/distributed-execution-guide.md](documents/user-guide/distributed-execution-guide.md) | Complete | +| Readiness checklist | [documents/user-guide/readiness-checklist.md](documents/user-guide/readiness-checklist.md) | Complete | +| Tightly coupled reference | [src/distributed_execution/tightly_coupled/jobs.py](src/distributed_execution/tightly_coupled/jobs.py) | Runnable | +| Loosely coupled reference | [src/distributed_execution/loosely_coupled/jobs.py](src/distributed_execution/loosely_coupled/jobs.py) | Runnable (subprocess verified) | +| External payload | [payload/work.py](payload/work.py) | Runnable | +| Example configuration | [yaml/](yaml/) | Complete | + +## Project structure + +```text +distributed-execution/ +├── src/ +│ └── distributed_execution/ +│ ├── repository.py # Dagster definitions (entry point) +│ ├── ops.py # Shared ops used by both patterns +│ ├── preflight.py # Readiness checks backing the checklist +│ ├── tightly_coupled/ +│ │ └── jobs.py # in_process / multiprocess / k8s_job_executor +│ └── loosely_coupled/ +│ └── jobs.py # PipesSubprocessClient / PipesK8sClient +├── payload/ # External workload: dagster-pipes ONLY +│ ├── work.py +│ ├── requirements.txt +│ └── Dockerfile +├── documents/user-guide/ # AC1-AC4 documentation +├── yaml/ # Working example configuration +├── tests/ +├── Dockerfile +├── pyproject.toml +└── workspace.yaml +``` + +## Getting started + +Prerequisites: Python 3.12+ and `uv`. + +```bash +uv sync --dev +uv run dagster dev -f src/distributed_execution/repository.py +``` + +The Dagster UI is then available at . Two jobs run end to +end on a laptop with no cluster: `tightly_coupled_local_job` and +`loosely_coupled_subprocess_job`. The Kubernetes variants of each are documented +in the user guide. + +### Running tests + +```bash +uv run pytest +``` + +### Building the images + +Two images, deliberately: the code location and the external payload are +versioned and scanned independently. + +```bash +docker build -t distributed-execution:0.1.0 . +docker build -f payload/Dockerfile -t distributed-execution-payload:0.1.0 payload/ +``` + +## Status + +Both execution targets are implemented. The tightly coupled jobs and the loosely +coupled **subprocess** transport are verified by the test suite. The loosely +coupled **Kubernetes** transport is implemented but has not yet been run against +a cluster; see the guide's *Outstanding work* section. + +## Licence + +European Union Public Licence v1.2 — see [LICENSE](LICENSE). diff --git a/documents/user-guide/distributed-execution-guide.md b/documents/user-guide/distributed-execution-guide.md new file mode 100644 index 0000000..6d98c5a --- /dev/null +++ b/documents/user-guide/distributed-execution-guide.md @@ -0,0 +1,443 @@ +# Distributed Execution: Execution Targets and Integration Patterns + +**Audience:** Participants with permission to configure workflows. +**Scope:** How to select, document and configure the execution target and +integration pattern for a Dagster workflow on the Simpl orchestration platform. + +> **Document status.** Both setups are backed by runnable reference +> implementations in this repository. The tightly coupled setup and the loosely +> coupled **subprocess** transport are verified end to end. The loosely coupled +> **Kubernetes** transport is implemented and reviewed but has not yet been run +> against a cluster; statements specific to it are marked +> **NOT CLUSTER-VERIFIED**. See [Outstanding work](#8-outstanding-work). + +--- + +## 1. Concepts + +### 1.1 What an execution target is + +The **execution target** is where the compute for a workflow actually runs. It is +not a single Dagster setting — it is the combination of three decisions. + +| # | Decision | Where it is configured | Scope | +|---|---|---|---| +| 1 | **Placement** — which cluster and namespace the run lands in | Run launcher, in the Dagster instance / Helm values | Per deployment | +| 2 | **Granularity** — one process for the whole run, or one per step | `executor_def`, in workflow code | Per job | +| 3 | **Integration pattern** — whether the compute participates in Dagster's internals or reports back over a message channel | Job topology in workflow code | Per job | + +Decisions 1 and 2 are always present. Decision 3 is what this guide calls the +*integration pattern*, and it is the one with the largest operational +consequences, because it determines what the execution pod must be able to reach. + +### 1.2 The two integration patterns + +**Tightly coupled.** The process doing the work *is* a Dagster process. It imports +the code location, opens a connection to the metadata database and writes run +events directly. Runtime information reaches the control plane because the worker +*is* part of the control plane's data path. + +**Loosely coupled.** Dagster only dispatches. It creates a workload on an external +cluster running an arbitrary image, then acts as a listener. The external process +writes structured messages over the dagster-pipes protocol; Dagster reads them and +materialises them as logs and metadata. The execution pod never connects to the +metadata database. + +```mermaid +flowchart LR + subgraph TC["Tightly coupled"] + direction TB + D1[Dagster daemon] -->|K8sRunLauncher| RW1[Run worker pod] + RW1 -->|k8s_job_executor| SP1[Step pods] + RW1 -.->|events| DB1[(Metadata DB)] + SP1 -.->|events| DB1 + end + subgraph LC["Loosely coupled"] + direction TB + D2[Dagster daemon] -->|K8sRunLauncher| RW2[Run worker pod] + RW2 -->|PipesK8sClient| EXT[External workload
any image] + EXT -.->|pipes messages| RW2 + RW2 -.->|events| DB2[(Metadata DB)] + end +``` + +Note the asymmetry in the diagram: in the loosely coupled pattern only the run +worker touches the metadata database. That single arrow is the whole point of the +pattern. + +--- + +## 2. AC1 — Choosing an execution target + +### 2.1 Choose tightly coupled when + +- The workflow logic is written in Python and lives in a Dagster code location. +- Execution pods can be granted network egress to the metadata database, object + storage and Vault. +- You want per-step retries, step-level concurrency limits and asset + materialisation handled natively by Dagster. +- The compute belongs to the same trust boundary as the orchestration platform. + +### 2.2 Choose loosely coupled when + +- The workload is not Python, or cannot take a dependency on the `dagster` + package (different runtime, vendor image, GPU base image). +- The target cluster is administratively separate and **must not** be granted + connectivity to the orchestration metadata database. +- The compute belongs to a different trust boundary, and you want the blast + radius of a compromised execution pod limited to the message channel. +- The workload already exists as a container and you want to orchestrate it + without rewriting it. + +### 2.3 Prerequisites + +| Prerequisite | Tightly coupled | Loosely coupled | +|---|---|---| +| Run launcher configured | Required — `K8sRunLauncher` | Required — `K8sRunLauncher` | +| Code location image contains workflow code | Required | Required for the *launching* job only | +| Execution pod → metadata database (Postgres 5432) | **Required** | Not required | +| Execution pod → object storage | Required if the workflow reads/writes objects | Required only if the payload itself does | +| Execution pod → Vault | Required for secret injection | Only for the launching pod | +| Kubernetes RBAC to create Jobs | Required for `k8s_job_executor` only | **Required** in the target namespace | +| Message channel provisioned | Not applicable | **Required** — pod log stream or object-storage reader | +| Control-plane reporting | Automatic — worker writes events directly | Via pipes messages; **fails silently if the channel breaks** | + +### 2.4 What to document before the first execution + +Record the following at workflow level, in the repository holding the workflow, +before it is run for the first time. Section 5.4 explains where each item lives. + +1. **Chosen integration pattern** — tightly or loosely coupled, with a one-line + rationale referencing section 2.1 or 2.2. +2. **Executor and its configuration** — including `max_concurrent` where relevant. +3. **Target namespace** for run pods and, for `k8s_job_executor`, step pods. +4. **Runtime dependencies** the execution pods must reach, as host/port pairs. + This is the input to the NetworkPolicy review. +5. **Secrets consumed**, by Vault path — not by value. +6. **Expected evidence of a healthy run** — which of the checks in the + [readiness checklist](readiness-checklist.md) apply, and what a passing run + looks like in the UI. +7. **For loosely coupled only:** the payload image reference and the message + channel type. + +--- + +## 3. AC2 — Decision support + +### 3.1 Side-by-side comparison + +| Dimension | Tightly coupled | Loosely coupled | +|---|---|---| +| What runs the work | A Dagster process importing your code location | Any container image | +| Language constraint | Python, matching the code location's environment | None | +| Dependency on `dagster` package | Full package in the execution image | Only `dagster-pipes` in the payload image | +| Metadata DB connectivity from execution pod | **Required** | **Not required** | +| Runtime information flow | Direct writes to run storage | Structured messages → run worker → run storage | +| Log capture | Native, per step | Via the pipes message stream | +| Step-level retries | Native | Manual, at the dispatching op | +| Asset materialisation | Native, from any step | Reported by the payload, materialised by the launching op | +| Failure granularity | Per step | Per dispatched workload | +| Secret distribution | To every execution pod | To the launching pod, plus whatever the payload needs | +| Blast radius of a compromised execution pod | Orchestration runtime credentials | Message channel only | +| Cross-cluster execution | Not supported | Supported | + +### 3.2 Environment-fit indicators + +Use these as a fast triage. If several point the same way, that is your answer. + +| Observation about your environment | Points to | +|---|---| +| Workflow is pure Python and shares a repository with existing code locations | Tightly coupled | +| Steps are short and numerous, and you want native retries | Tightly coupled | +| NetworkPolicy review for the execution namespace is already approved | Tightly coupled | +| Compute must run in a cluster you do not administer | Loosely coupled | +| Security review objects to distributing DB credentials to execution pods | Loosely coupled | +| Payload is an existing vendor or third-party image | Loosely coupled | +| Workload needs GPUs or a base image incompatible with the code location image | Loosely coupled | +| Team owning the payload is different from the team owning the workflow | Loosely coupled | + +### 3.3 Trade-offs + +**Tightly coupled** + +- *Gains:* the richest observability with no extra work — every step's logs, + metadata, retries and asset materialisations are native. Simplest mental model. +- *Costs:* the widest connectivity surface. Every execution pod is a credential + holder and a database client. Scaling step pods scales database connections, + which is the usual first bottleneck. Execution image and code location image are + coupled, so a dependency conflict in one workflow can affect others sharing the + location. + +**Loosely coupled** + +- *Gains:* a narrow connectivity surface and genuine dependency isolation. The + payload team can ship on its own cadence. Cross-cluster and cross-trust-boundary + execution become possible. +- *Costs:* observability is only as good as the payload's instrumentation — an + uninstrumented payload appears in Dagster as one opaque step. Retry and + cancellation semantics must be implemented at the dispatching op. The message + channel becomes a new failure mode, and when it breaks the run can appear to + succeed while reporting nothing. Two images to build, version and scan instead + of one. + +--- + +## 4. AC3 — Readiness checks + +Pre-run validation items, their expected evidence, and the symptoms and +corrections for common misconfigurations are maintained separately, in +[readiness-checklist.md](readiness-checklist.md). + +--- + +## 5. AC4 — Configuring execution-target linkage in code + +### 5.1 Configuration constructs + +Five constructs bind a workflow to an execution target. Three live in code and +travel with the workflow; two live in deployment configuration. + +| Construct | Lives in | Binds | +|---|---|---| +| `executor_def` on `@job` / `to_job()` | Workflow code | Step granularity and placement | +| `tags` on `@job` | Workflow code | Run-level metadata; `dagster-k8s/config` overrides pod shape | +| Job topology — direct ops vs. a dispatching op using a pipes client | Workflow code | Integration pattern | +| `runLauncher` | Helm values | Run worker placement and reachable dependencies | +| `dagster-user-deployments` entry | Helm values | Which image the code location runs | + +The first three are the answer to "which configuration constructs bind the +execution target to a workflow" — and they are all versioned alongside the +workflow, which is why setup selection is a code review concern and not a runtime +toggle. + +### 5.2 Worked example — switching within the tightly coupled setup + +The reference jobs share one graph and differ only by `executor_def`. This is the +smallest possible demonstration that granularity is a code-level decision. + +**Before — steps run as subprocesses inside the run worker:** + +```python +tightly_coupled_local_job = distributed_execution_reference.to_job( + name="tightly_coupled_local_job", + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), + tags={**COMMON_TAGS, "executor": "multiprocess"}, +) +``` + +**After — one Kubernetes Job per step:** + +```python +tightly_coupled_k8s_job = distributed_execution_reference.to_job( + name="tightly_coupled_k8s_job", + executor_def=k8s_job_executor.configured( + { + "image_pull_policy": "IfNotPresent", + "step_k8s_config": STEP_K8S_CONFIG, + } + ), + tags={**COMMON_TAGS, "executor": "k8s_job"}, +) +``` + +The graph, the ops and the run launcher are all unchanged. What changes +operationally: + +- Step pods are now created in the launcher's `jobNamespace`, so that namespace's + NetworkPolicy must permit egress to Postgres, object storage and Vault — not + just the run worker's namespace. +- The service account needs RBAC to create and watch Jobs. See + [yaml/tightly-coupled/rbac-step-executor.yaml](../../yaml/tightly-coupled/rbac-step-executor.yaml). +- Per-step resource requests apply per pod, so the aggregate request for a + fan-out step is the per-step request multiplied by concurrency. +- `summarise_results` now reports several distinct `contributing_hosts` instead of + one. That output metadata is the evidence that the switch actually took effect. + +### 5.3 Worked example — switching to loosely coupled + +The graphs for the two patterns differ by **exactly one node**. This is not a +simplification for the guide; it is how the reference implementations are +written, so the diff below is the real one. + +**Before — tightly coupled. The work happens in a Dagster process:** + +```python +@graph +def distributed_execution_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = process_work_units(units) # runs in-process + return summarise_results(results, target_report) +``` + +**After — loosely coupled. The work is dispatched to an external image:** + +```python +@graph +def loosely_coupled_k8s_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_k8s(units) # dispatches, then listens + return summarise_results(results, target_report) +``` + +The dispatching op replaces direct computation with a pipes client call: + +```python +@op(out=Out(list)) +def dispatch_external_work_k8s( + context: OpExecutionContext, + units: list, + pipes_k8s_client: PipesK8sClient, +) -> list: + completed = pipes_k8s_client.run( + context=context, + image=PAYLOAD_IMAGE, + command=["python", "/app/work.py"], + namespace=PAYLOAD_NAMESPACE, + extras={"units": units}, + ) + return _results_from_pipes(context, completed) +``` + +and the job supplies the client as a resource instead of an executor: + +```python +loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( + name="loosely_coupled_k8s_job", + resource_defs={"pipes_k8s_client": PipesK8sClient()}, + tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, +) +``` + +#### What changes operationally + +| | Tightly coupled | Loosely coupled | +|---|---|---| +| Images to build | 1 (code location) | 2 (code location + payload) | +| Payload dependency surface | Full `dagster` package | `dagster-pipes` only | +| Execution pod → Postgres | Egress rule **required** | Egress rule can be **removed** | +| Execution pod → Vault / S3 | Credentials required | None needed by the payload | +| RBAC | Only for `k8s_job_executor` | Required on the **dispatching** pod | +| New failure mode | — | Broken message path | + +The NetworkPolicy rules you can *remove* are the point of the exercise. See +[yaml/loosely-coupled/rbac-pipes-dispatch.yaml](../../yaml/loosely-coupled/rbac-pipes-dispatch.yaml) +for what replaces them — note that `pods/log` is the message channel, so +removing that verb silently breaks reporting without failing the workload. + +#### The payload contract + +[payload/work.py](../../payload/work.py) is the whole contract: + +```python +with open_dagster_pipes() as pipes: + units = pipes.get_extra("units") + pipes.log.info(f"External payload started on {host}") + pipes.report_custom_message({"results": results, "host": host, ...}) +``` + +`pipes.log` entries appear in the Dagster run logs; `report_custom_message` is +read back by the dispatching op. The payload imports `dagster_pipes` and nothing +else from the Dagster ecosystem — a test asserts this, because the moment the +payload imports `dagster` the isolation argument for choosing this pattern +collapses. + +#### Message channel choice + +`PipesK8sClient` defaults to `PipesK8sPodLogsMessageReader`, which is what the +reference uses. It needs no extra infrastructure, but it couples message +delivery to the pod log stream — a log shipper that intercepts or truncates +stdout will break reporting while the workload still exits 0. That is why +`_results_from_pipes` raises on an empty message list rather than returning an +empty result. If your cluster's logging setup makes that transport unreliable, +switch to an object-storage message reader, which needs a bucket plus +credentials on both sides. + +> **NOT CLUSTER-VERIFIED.** The Kubernetes transport above is implemented and +> its RBAC and configuration are recorded, but it has not yet been run against a +> Simpl cluster. The subprocess transport, which exercises the identical payload +> and the identical message-parsing path, is verified by the test suite. + +### 5.4 Where setup selection is persisted + +Setup selection is persisted in configuration artifacts, never as a runtime-only +setting. There is no UI control that switches a workflow between the two patterns. + +| Artifact | Holds | +|---|---| +| `src//**/jobs.py` | `executor_def`, pipes client resource, tags, job topology | +| `payload/work.py` + `payload/Dockerfile` | The external payload contract and its image | +| `yaml/tightly-coupled/values-run-launcher.yaml` | Run launcher type, namespace, pod env | +| `yaml/tightly-coupled/rbac-step-executor.yaml` | Permissions required by `k8s_job_executor` | +| `yaml/loosely-coupled/values-pipes-payload.yaml` | Payload image reference and target namespace | +| `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` | Permissions required by the dispatching pod | +| `yaml/values-dagster-distributed-execution.yaml` | Code location image and entry point | + +The Launchpad can override *run configuration* — op config, resource config, tags +— for a single run. It cannot change the executor or the integration pattern. +Those take effect only when a new image is built and the code location reloads. + +### 5.5 Reference implementations in this repository + +| Job | Executor / transport | Runs locally | Demonstrates | +|---|---|---|---| +| `tightly_coupled_in_process_job` | `in_process_executor` | Yes | Baseline; steps inside the run worker | +| `tightly_coupled_local_job` | `multiprocess_executor` | Yes | Subprocess fan-out bounded by the run pod | +| `tightly_coupled_k8s_job` | `k8s_job_executor` | No — needs a cluster | One Kubernetes Job per step | +| `loosely_coupled_subprocess_job` | `PipesSubprocessClient` | Yes | The pipes contract end to end, no cluster | +| `loosely_coupled_k8s_job` | `PipesK8sClient` | No — needs a cluster | External Job dispatch, messages over pod logs | + +The last two dispatch the same [payload/work.py](../../payload/work.py). The +subprocess variant exists so the pipes contract can be exercised, tested and +demonstrated without any infrastructure. + +Run the local variants with: + +```bash +uv sync --dev +uv run dagster dev -f src/distributed_execution/repository.py +``` + +`report_execution_target` emits pod identity and the visible orchestration +environment variables as output metadata on every run, which is the evidence the +readiness checklist refers to. + +--- + +## 6. Upstream documentation + +- Dagster — [run launchers](https://docs.dagster.io/deployment/execution/run-launchers) +- Dagster — [executors](https://docs.dagster.io/deployment/execution/executors) +- Dagster — [customizing your Kubernetes deployment](https://docs.dagster.io/deployment/oss/deployment-options/kubernetes/customizing-your-deployment) +- Dagster — [Dagster Pipes](https://docs.dagster.io/guides/build/external-pipelines) +- Dagster — [Dagster Pipes with Kubernetes](https://docs.dagster.io/guides/build/external-pipelines/kubernetes-pipeline) +- Kubernetes — [Jobs](https://kubernetes.io/docs/concepts/workloads/controllers/job/) +- Kubernetes — [network policies](https://kubernetes.io/docs/concepts/services-networking/network-policies/) +- Kubernetes — [RBAC authorization](https://kubernetes.io/docs/reference/access-authn-authz/rbac/) + +## 7. Related Simpl documentation + +- [dagster/documents/user-manual/Orchestration.md](../../../dagster/documents/user-manual/Orchestration.md) — workflow development lifecycle +- [dagster/documents/installation-guide/Installation Guide.md](../../../dagster/documents/installation-guide/Installation%20Guide.md) — full run launcher parameter reference +- [dagster/documents/user-manual/Observability.md](../../../dagster/documents/user-manual/Observability.md) — logging and monitoring + +## 8. Outstanding work + +Tracked under SIMPL-30451. + +| Item | AC | Status | +|---|---|---| +| Execution-target choices, prerequisites, workflow-level documentation | AC1 | Complete | +| Comparison, environment-fit indicators, trade-offs | AC2 | Complete | +| Readiness checklist and evidence mapping | AC3 | Complete; K8s pipes checks not cluster-verified | +| Misconfiguration symptoms and corrections | AC3 | Complete; K8s pipes symptoms not cluster-verified | +| Configuration constructs and persistence | AC4 | Complete | +| Before-and-after example, tightly coupled | AC4 | Complete | +| Before-and-after example, switching to loosely coupled | AC4 | Complete | +| Runnable tightly coupled reference implementations | AC4 | Complete | +| Runnable loosely coupled reference implementation | AC4 | Complete (subprocess verified, K8s not cluster-run) | +| Payload image published to the registry | Tech details | **Pending** | +| End-to-end run of `loosely_coupled_k8s_job` on a cluster | Tech details | **Pending** | +| Screenshots of UI surfaces | Tech details | **Pending** | +| Platform architecture document update | Tech details | **Pending** | diff --git a/documents/user-guide/readiness-checklist.md b/documents/user-guide/readiness-checklist.md new file mode 100644 index 0000000..447fbdb --- /dev/null +++ b/documents/user-guide/readiness-checklist.md @@ -0,0 +1,118 @@ +# Distributed Execution: Readiness Checklist + +Pre-run validation for a workflow's execution target. Companion to the +[user guide](distributed-execution-guide.md); this document covers AC3. + +Run these checks **before the first execution** of a workflow, and again after any +change to the run launcher, the executor, the target namespace or the code +location image. + +> **NOT CLUSTER-VERIFIED.** Checks L4–L9 and the Kubernetes rows of section 4.3 +> are derived from the implemented reference but have not yet been run against a +> Simpl cluster. Checks L1–L3, which exercise the payload contract and the +> message-parsing path, are covered by the test suite. + +--- + +## 1. Common checks — both setups + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| C1 | Code location loads | Dagster UI → **Deployment** → **Code locations** | Location `distributed-execution` shows status *Loaded*, with a recent load timestamp and no error banner | +| C2 | Jobs are registered | Dagster UI → **Jobs** | The jobs listed in the guide's section 5.5 appear under the code location | +| C3 | Image tag matches the intended release | `kubectl -n dagster get deploy -l dagster/code-location=distributed-execution -o jsonpath='{.items[*].spec.template.spec.containers[*].image}'` | Tag equals the version in `pipeline.variables.sh`; never `latest` | +| C4 | Image architecture matches the nodes | `docker manifest inspect ` | Includes `linux/amd64`; a manifest with only `linux/arm64` produces `no match for platform` at pull time | +| C5 | Run launcher type is as intended | `kubectl -n dagster get cm dagster-instance -o yaml` | `run_launcher` block shows `K8sRunLauncher` and the expected `job_namespace` | +| C6 | Target namespace exists and is schedulable | `kubectl get ns ` and `kubectl -n get resourcequota` | Namespace is `Active`; remaining quota exceeds the job's aggregate requests | + +## 2. Tightly coupled checks + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| T1 | Run pod reaches the metadata database | Launch `tightly_coupled_in_process_job` | Run reaches `SUCCESS`; `report_execution_target` output metadata lists `DAGSTER_POSTGRES_HOST`, `DAGSTER_POSTGRES_USER` and `DAGSTER_POSTGRES_DB` under `env_vars_present`, and `env_vars_missing` is empty | +| T2 | Vault injection works | Same run; inspect the run pod | `kubectl -n dagster describe pod ` shows the `vault-env` init container completed; no `vault:` literal remains in the process environment | +| T3 | Object storage is reachable | Same run, if the workflow uses S3 | No `EndpointConnectionError` in run logs; `S3_ENDPOINT_URL` present in `env_vars_present` | +| T4 | Multiprocess fan-out is bounded correctly | Launch `tightly_coupled_local_job` | Run succeeds; `summarise_results` metadata shows exactly one entry in `contributing_hosts`, confirming steps stayed on the run worker | +| T5 | RBAC permits step Jobs | `kubectl -n dagster auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`; required only for `k8s_job_executor` | +| T6 | Step pods are actually created | Launch `tightly_coupled_k8s_job`, then `kubectl -n dagster get jobs -l dagster/run-id=` | One Job per step; `summarise_results` metadata shows **several** distinct `contributing_hosts` | +| T7 | Step pod egress is permitted | Same run | Steps do not hang in `STARTING`; run logs contain no connection timeouts to port 5432 | +| T8 | Failure surfaces as a pod failure | Force a step failure in a scratch namespace | `failPodOnRunFailure: true` is set, and the step pod reports `Failed` rather than `Completed` | + +## 3. Loosely coupled checks + +| # | Check | How to verify | Expected evidence | +|---|---|---|---| +| L1 | Payload contract is intact | `uv run pytest tests/test_loosely_coupled.py` | `test_payload_does_not_import_dagster` passes — the payload imports `dagster_pipes` only | +| L2 | Pipes round trip works | Launch `loosely_coupled_subprocess_job` | Run reaches `SUCCESS`; run logs contain the payload's `External payload started on …` line, proving `pipes.log` crossed the channel | +| L3 | Silence is treated as failure | Same test module | `test_silent_message_path_is_treated_as_failure` passes — an empty message list raises rather than yielding an empty result | +| L4 | Payload image is pullable by the target cluster | `kubectl -n run pull-probe --image= --restart=Never --command -- true` | Pod reaches `Completed`; no `ImagePullBackOff` | +| L5 | Dispatcher can create Jobs in the payload namespace | `kubectl -n auth can-i create jobs --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes` | +| L6 | Dispatcher can read pod logs — **the message channel** | `kubectl -n auth can-i get pods/log --as=system:serviceaccount:dagster:dagster-dev` | Returns `yes`. A `no` here breaks reporting *without* failing the workload | +| L7 | Payload Job is actually created | Launch `loosely_coupled_k8s_job`, then `kubectl -n get jobs -l app.kubernetes.io/name=distributed-execution-payload` | One Job per dispatch, labelled `dagster/execution-target=loosely-coupled` | +| L8 | Payload has **no** orchestration connectivity | Same run; inspect run logs | No `Payload could see orchestration runtime credentials` warning. This is a positive check — absence of errors is not sufficient | +| L9 | Work ran off-platform | Same run | `summarise_results` metadata shows `contributing_hosts` containing the payload pod name, not the run worker's hostname | + +Checks L4–L9 require a cluster. L1–L3 run on a laptop and should gate every +change to the payload or the dispatching op. + +--- + +## 4. Common misconfiguration symptoms + +### 4.1 Both setups + +| Symptom | Likely cause | Correction | +|---|---|---| +| Code location stuck in *Loading*, then errors | Entry point path in `codeServerArgs` does not match the image layout | Confirm `--python-file` matches `workspace.yaml`; both must be `src/distributed_execution/repository.py` | +| `ImagePullBackOff` with `no match for platform` | Image published for a single non-matching architecture | Rebuild multi-arch with `docker buildx`, and pin a version tag rather than `latest` | +| Run stays in `QUEUED` indefinitely | Run coordinator concurrency limit reached, or no schedulable node | Check `max_concurrent_runs` and tag concurrency limits; check node capacity and resource quota | +| Run fails immediately with a serialisation error | Code location image and Dagster control-plane versions diverge | Align the `dagster` version in `pyproject.toml` with the chart's version and rebuild | + +### 4.2 Tightly coupled + +| Symptom | Likely cause | Correction | +|---|---|---| +| Run pod starts, then fails with a connection timeout to port 5432 | Execution namespace NetworkPolicy does not permit egress to Postgres | Add an egress rule for the metadata database, or move run pods to an already-approved namespace via `jobNamespace` | +| `env_vars_missing` is non-empty in `report_execution_target` metadata | Env vars are set on the code location deployment but not on the run pod | Add them under `runLauncher.config.k8sRunLauncher.runK8sConfig.containerConfig.env` — code location env is **not** inherited by run pods | +| A literal `vault:...` string appears as a value at runtime | Vault mutating webhook did not process the pod | Verify the `vault.security.banzaicloud.io/*` annotations are on the **run pod** template, not only the code location pod | +| Steps hang in `STARTING` with `k8s_job_executor` | Service account lacks Job create/watch permission | Apply `yaml/tightly-coupled/rbac-step-executor.yaml` and confirm with `kubectl auth can-i` | +| `contributing_hosts` shows one host when `k8s_job_executor` is configured | Run tags or Launchpad config overrode the executor, or the image predates the change | Confirm the code location reloaded after the image bump; check the run's *Config* tab for an `execution:` override | +| Step pods `OOMKilled` under fan-out | Per-step memory limit applied per pod, aggregate exceeded quota | Raise `step_k8s_config` limits or lower step concurrency; the two multiply | +| Postgres refuses connections once fan-out grows | Each step pod is an independent DB client | Reduce step concurrency, raise the Postgres connection limit, or move the fan-out step to a loosely coupled target | + +### 4.3 Loosely coupled + +| Symptom | Likely cause | Correction | +|---|---|---| +| Op fails with `No pipes messages received from the external payload` | The message path is broken, not the workload | Work through L6 then L4. The payload very likely ran and succeeded; only its reporting was lost | +| Payload pod `Completed`, but Dagster shows no payload log lines | A log shipper is intercepting or truncating stdout | Exclude the payload namespace from the shipper, or switch to an object-storage message reader | +| Op hangs until `pod_wait_timeout` (default 24 h) | Payload Job never scheduled — quota, node selector or image pull | Check `kubectl -n describe job `; lower `pod_wait_timeout` so the failure surfaces quickly | +| `403 Forbidden` creating the Job | Dispatcher service account lacks Job create permission | Apply `yaml/loosely-coupled/rbac-pipes-dispatch.yaml` in the **payload** namespace | +| Warning: `Payload could see orchestration runtime credentials` | Payload pod inherited run-pod env or a Vault annotation | Remove the inherited env; the payload should receive only what `extras` and explicit `env` pass it | +| Payload exits non-zero but the run reports success | Exit status not being checked, or messages read before failure | Confirm the dispatching op returns through `_results_from_pipes`; do not swallow `PipesClientCompletedInvocation` errors | +| Payload receives no `units` | `extras` key mismatch between dispatcher and `pipes.get_extra()` | Both sides must use the same key; a typo yields a `KeyError` inside the payload | +| Run cancelled in the UI, payload pod keeps running | Cancellation is not propagated to dispatched workloads automatically | `delete_pod_on_completion` handles the normal path; for cancellation, verify orphaned Jobs and add a cleanup sensor | + +> **NOT CLUSTER-VERIFIED.** Rows referencing Kubernetes behaviour follow from the +> implemented reference and the dagster-k8s API, but have not been observed on a +> Simpl cluster. Confirm and amend after the first cluster run. + +--- + +## 5. Evidence retention + +For each workflow's first execution, attach to the workflow's repository or +change record: + +1. The run ID and its final status. +2. The `report_execution_target` output metadata block (pod identity, namespace, + env var presence). +3. The `summarise_results` metadata block (`contributing_hosts`), which proves + which execution target was actually used. +4. For `k8s_job_executor`, the output of `kubectl get jobs -l dagster/run-id=`. +5. For the loosely coupled target, the payload image digest and the run log line + emitted by `pipes.log` — together they prove which payload version ran and + that the message channel was open. + +Items 2 and 3 together are sufficient to demonstrate that the configured +execution target is the one that ran — which is the point of the checklist. diff --git a/payload/Dockerfile b/payload/Dockerfile new file mode 100644 index 0000000..3f022b1 --- /dev/null +++ b/payload/Dockerfile @@ -0,0 +1,30 @@ +# External payload image for the loosely coupled execution target. +# +# Built and versioned independently of the code location image. It contains no +# workflow code and no `dagster` package - only the pipes protocol client. +# +# docker build -f payload/Dockerfile -t distributed-execution-payload:0.1.0 payload/ + +FROM python:3.12-slim-bookworm + +RUN python -m pip install --no-cache-dir --upgrade "pip==26.1.2" + +WORKDIR /app + +RUN addgroup --gid 1000 appgroup && \ + adduser --uid 1000 --gid 1000 --disabled-password --gecos "" appuser + +RUN apt-get update && apt-get upgrade -y \ + && apt-get clean \ + && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* + +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY work.py . + +RUN chown -R appuser:appgroup /app + +USER appuser + +CMD ["python", "/app/work.py"] diff --git a/payload/requirements.txt b/payload/requirements.txt new file mode 100644 index 0000000..0c15667 --- /dev/null +++ b/payload/requirements.txt @@ -0,0 +1,3 @@ +# The payload's entire dependency surface. Note the absence of `dagster`: +# dependency isolation is the point of the loosely coupled pattern. +dagster-pipes>=1.13.0 diff --git a/payload/work.py b/payload/work.py new file mode 100644 index 0000000..01ce542 --- /dev/null +++ b/payload/work.py @@ -0,0 +1,55 @@ +"""External payload for the loosely coupled execution target. + +This script is deliberately NOT a Dagster code location. It depends only on +``dagster-pipes``, never on ``dagster``, and it never opens a connection to the +orchestration metadata database. Everything it reports reaches the control plane +through the pipes message channel. + +Run by ``distributed_execution.loosely_coupled.jobs`` via either +``PipesSubprocessClient`` (local) or ``PipesK8sClient`` (cluster). +""" + +import os +import socket + +from dagster_pipes import open_dagster_pipes + +# Presence of any of these would mean the payload was granted orchestration +# runtime credentials it has no business holding. +ORCHESTRATION_ENV_VARS = ( + "DAGSTER_POSTGRES_HOST", + "DAGSTER_POSTGRES_USER", + "DAGSTER_POSTGRES_DB", +) + + +def main() -> None: + with open_dagster_pipes() as pipes: + units = pipes.get_extra("units") + host = socket.gethostname() + + pipes.log.info(f"External payload started on {host} with {len(units)} work units") + + results = [{"unit": unit, "squared": unit * unit, "host": host} for unit in units] + + leaked = [name for name in ORCHESTRATION_ENV_VARS if os.environ.get(name)] + if leaked: + pipes.log.warning( + "Orchestration runtime credentials are visible to this payload: " + f"{', '.join(leaked)}. A loosely coupled target should not have them." + ) + + # The only channel back to the control plane. + pipes.report_custom_message( + { + "results": results, + "host": host, + "orchestration_env_visible": leaked, + } + ) + + pipes.log.info(f"External payload finished on {host}") + + +if __name__ == "__main__": + main() diff --git a/pipeline.variables.sh b/pipeline.variables.sh new file mode 100644 index 0000000..0316183 --- /dev/null +++ b/pipeline.variables.sh @@ -0,0 +1 @@ +PROJECT_VERSION_NUMBER="0.1.0" diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..65de18c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,40 @@ +[project] +name = "distributed_execution" +version = "0.1.0" +description = "Reference implementations and user guide for Dagster distributed execution targets and integration patterns" +requires-python = ">=3.12" +dependencies = [ + "dagster", + "dagster-k8s>=0.27.16", + "dagster-postgres>=0.27.16", + "dagster-webserver>=1.11.16", + "pip>=26.1.2", + "pydantic>=2.0", +] + +[dependency-groups] +dev = [ + "pytest>=8.4.2", + "pytest-cov>=7.0.0", +] + +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[tool.setuptools] +package-dir = {"" = "src"} + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.setuptools.package-data] +distributed_execution = ["*.py"] + +[tool.black] +line-length = 120 +target-version = ['py312'] + +[tool.pytest.ini_options] +pythonpath = ["src"] +testpaths = ["tests"] diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..f1f635c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,6 @@ +dagster +dagster-k8s>=0.27.16 +dagster-postgres>=0.27.16 +dagster-webserver>=1.11.16 +pip>=26.1.2 +pydantic>=2.0 diff --git a/src/distributed_execution/__init__.py b/src/distributed_execution/__init__.py new file mode 100644 index 0000000..a9bd636 --- /dev/null +++ b/src/distributed_execution/__init__.py @@ -0,0 +1,3 @@ +"""Reference implementations for Dagster distributed execution targets.""" + +__version__ = "0.1.0" diff --git a/src/distributed_execution/loosely_coupled/__init__.py b/src/distributed_execution/loosely_coupled/__init__.py new file mode 100644 index 0000000..2c68c76 --- /dev/null +++ b/src/distributed_execution/loosely_coupled/__init__.py @@ -0,0 +1 @@ +"""Loosely coupled (dagster-pipes) execution-target reference implementations.""" diff --git a/src/distributed_execution/loosely_coupled/jobs.py b/src/distributed_execution/loosely_coupled/jobs.py new file mode 100644 index 0000000..b525bf7 --- /dev/null +++ b/src/distributed_execution/loosely_coupled/jobs.py @@ -0,0 +1,154 @@ +"""Loosely coupled reference implementations. + +Dagster does not run the work here. It dispatches an external payload and then +acts as a listener: the payload writes structured messages over the +dagster-pipes protocol, which Dagster materialises as logs and metadata. The +payload never connects to the metadata database. + +Two transports are provided. Both dispatch the *same* payload script and produce +the same output shape as the tightly coupled ``process_work_units`` op, so the +graphs differ by exactly one node - see the guide's section 5.3. +""" + +import os +import sys +from pathlib import Path + +from dagster import Failure, OpExecutionContext, Out, PipesSubprocessClient, graph, op +from dagster_k8s import PipesK8sClient + +from distributed_execution.ops import ( + generate_work_units, + report_execution_target, + summarise_results, +) + +# Payload lives outside src/ so it can be built into its own image. +_REPO_ROOT = Path(__file__).resolve().parents[3] +PAYLOAD_SCRIPT = os.environ.get("PIPES_PAYLOAD_SCRIPT", str(_REPO_ROOT / "payload" / "work.py")) + +PAYLOAD_IMAGE = os.environ.get( + "PIPES_PAYLOAD_IMAGE", + "code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0", +) +PAYLOAD_NAMESPACE = os.environ.get("PIPES_PAYLOAD_NAMESPACE", "dagster") + +COMMON_TAGS = { + "execution_target": "loosely_coupled", + "business_operation": "DISTRIBUTED_EXECUTION_REFERENCE", +} + + +def _results_from_pipes(context: OpExecutionContext, completed) -> list: + """Read the payload's results off the message channel. + + A broken message path is the defining failure mode of this pattern: the + external workload can exit 0 while reporting nothing, so silence is treated + as a failure rather than an empty result. + """ + messages = completed.get_custom_messages() + if not messages: + raise Failure( + description=( + "No pipes messages received from the external payload. The workload may have " + "run successfully while its messages were lost. Verify the message path: for " + "the Kubernetes transport, confirm the pod log stream is readable and not " + "being truncated or intercepted by a log shipper." + ) + ) + + payload = messages[-1] + leaked = payload.get("orchestration_env_visible") or [] + if leaked: + context.log.warning( + "Payload could see orchestration runtime credentials: %s. " + "This defeats the isolation the loosely coupled target is chosen for.", + ", ".join(leaked), + ) + + context.log.info("Received %s results from external host %s", len(payload["results"]), payload["host"]) + return payload["results"] + + +@op( + description="Dispatches the external payload as a local subprocess and listens on the pipes channel.", + out=Out(list), +) +def dispatch_external_work_subprocess( + context: OpExecutionContext, + units: list, + pipes_subprocess_client: PipesSubprocessClient, +) -> list: + completed = pipes_subprocess_client.run( + context=context, + command=[sys.executable, PAYLOAD_SCRIPT], + extras={"units": units}, + ) + return _results_from_pipes(context, completed) + + +@op( + description="Dispatches the external payload as a Kubernetes Job and listens on the pod log stream.", + out=Out(list), +) +def dispatch_external_work_k8s( + context: OpExecutionContext, + units: list, + pipes_k8s_client: PipesK8sClient, +) -> list: + completed = pipes_k8s_client.run( + context=context, + image=PAYLOAD_IMAGE, + command=["python", "/app/work.py"], + namespace=PAYLOAD_NAMESPACE, + extras={"units": units}, + base_pod_meta={ + "labels": { + "app.kubernetes.io/name": "distributed-execution-payload", + "dagster/execution-target": "loosely-coupled", + } + }, + ) + return _results_from_pipes(context, completed) + + +@graph +def loosely_coupled_subprocess_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_subprocess(units) + return summarise_results(results, target_report) + + +@graph +def loosely_coupled_k8s_reference(): + target_report = report_execution_target() + units = generate_work_units() + results = dispatch_external_work_k8s(units) + return summarise_results(results, target_report) + + +loosely_coupled_subprocess_job = loosely_coupled_subprocess_reference.to_job( + name="loosely_coupled_subprocess_job", + description=( + "Loosely coupled via subprocess transport. Demonstrates the pipes contract end to end " + "on a laptop, with no cluster and no metadata database access from the payload." + ), + resource_defs={"pipes_subprocess_client": PipesSubprocessClient()}, + tags={**COMMON_TAGS, "transport": "subprocess"}, +) + +loosely_coupled_k8s_job = loosely_coupled_k8s_reference.to_job( + name="loosely_coupled_k8s_job", + description=( + "Loosely coupled via Kubernetes Job dispatch. Messages return over the pod log stream. " + "Requires a cluster and RBAC to create Jobs in the target namespace." + ), + resource_defs={"pipes_k8s_client": PipesK8sClient()}, + tags={**COMMON_TAGS, "transport": "k8s_pod_logs"}, +) + +LOOSELY_COUPLED_JOBS = [ + loosely_coupled_subprocess_job, + loosely_coupled_k8s_job, +] diff --git a/src/distributed_execution/ops.py b/src/distributed_execution/ops.py new file mode 100644 index 0000000..47a5920 --- /dev/null +++ b/src/distributed_execution/ops.py @@ -0,0 +1,83 @@ +"""Ops shared by every execution-target reference implementation. + +The ops deliberately do trivial work. What they demonstrate is *where* the work +happens and *how* that fact reaches the control plane. +""" + +# No `from __future__ import annotations`: it stringifies the `context` hint and +# Dagster's op context validation then rejects it. +from dagster import Config, MetadataValue, OpExecutionContext, Out, op + +from distributed_execution.preflight import ( + TIGHTLY_COUPLED_ENV_VARS, + check_env_vars, + describe_pod_identity, +) + + +class WorkUnitsConfig(Config): + count: int = 4 + + +@op( + description="Emits execution-target evidence: pod identity plus reachability of orchestration dependencies.", + out=Out(dict), +) +def report_execution_target(context: OpExecutionContext) -> dict: + identity = describe_pod_identity() + env_check = check_env_vars(TIGHTLY_COUPLED_ENV_VARS) + + context.log.info("Executing on %s (pid %s), namespace %s", identity["hostname"], identity["pid"], identity["namespace"]) + if env_check["missing"]: + context.log.warning( + "Orchestration runtime env vars not visible to this process: %s. " + "Expected for a loosely coupled target; a misconfiguration for a tightly coupled one.", + ", ".join(env_check["missing"]), + ) + + context.add_output_metadata( + { + "hostname": MetadataValue.text(identity["hostname"]), + "namespace": MetadataValue.text(identity["namespace"]), + "run_id": MetadataValue.text(identity["run_id"]), + "image": MetadataValue.text(identity["image"]), + "env_vars_present": MetadataValue.json(env_check["present"]), + "env_vars_missing": MetadataValue.json(env_check["missing"]), + } + ) + return {"identity": identity, "env_check": env_check} + + +@op(description="Produces the work units that later steps fan out over.", out=Out(list)) +def generate_work_units(context: OpExecutionContext, config: WorkUnitsConfig) -> list[int]: + units = list(range(config.count)) + context.log.info("Generated %s work units", len(units)) + return units + + +@op(description="Performs one unit of work per element; runs once per step-execution slot.", out=Out(list)) +def process_work_units(context: OpExecutionContext, units: list[int]) -> list[dict]: + identity = describe_pod_identity() + results = [{"unit": unit, "squared": unit * unit, "host": identity["hostname"]} for unit in units] + context.log.info("Processed %s units on %s", len(results), identity["hostname"]) + return results + + +@op(description="Aggregates results and attaches the distinct hosts that contributed.") +def summarise_results(context: OpExecutionContext, results: list[dict], target_report: dict) -> dict: + hosts = sorted({row["host"] for row in results}) + summary = { + "units": len(results), + "total": sum(row["squared"] for row in results), + "contributing_hosts": hosts, + "launcher_namespace": target_report["identity"]["namespace"], + } + context.add_output_metadata( + { + "units": MetadataValue.int(summary["units"]), + "contributing_hosts": MetadataValue.json(hosts), + "launcher_namespace": MetadataValue.text(summary["launcher_namespace"]), + } + ) + context.log.info("Summary: %s", summary) + return summary diff --git a/src/distributed_execution/preflight.py b/src/distributed_execution/preflight.py new file mode 100644 index 0000000..f8c3031 --- /dev/null +++ b/src/distributed_execution/preflight.py @@ -0,0 +1,61 @@ +"""Readiness checks backing the pre-run validation checklist. + +Each function returns a plain dict so the same result can be logged as Dagster +metadata (evidence for the checklist) or asserted in a test. +""" + +from __future__ import annotations + +import os +import socket +from urllib.parse import urlparse + +# Runtime dependencies a tightly coupled execution pod must be able to resolve. +TIGHTLY_COUPLED_ENV_VARS = ( + "DAGSTER_POSTGRES_HOST", + "DAGSTER_POSTGRES_USER", + "DAGSTER_POSTGRES_DB", +) + + +def check_env_vars(names: tuple[str, ...] | list[str]) -> dict: + """Report which of ``names`` are present, without echoing their values.""" + present = [name for name in names if os.environ.get(name)] + missing = [name for name in names if not os.environ.get(name)] + return { + "check": "env_vars", + "passed": not missing, + "present": present, + "missing": missing, + } + + +def check_tcp_reachable(host: str, port: int, timeout: float = 3.0) -> dict: + """Open a TCP connection to prove the execution pod can reach a dependency.""" + result = {"check": "tcp_reachable", "target": f"{host}:{port}", "passed": False, "error": None} + try: + with socket.create_connection((host, port), timeout=timeout): + result["passed"] = True + except OSError as exc: + result["error"] = str(exc) + return result + + +def check_endpoint_reachable(url: str, timeout: float = 3.0) -> dict: + """TCP-level reachability for an endpoint expressed as a URL.""" + parsed = urlparse(url) + if not parsed.hostname: + return {"check": "tcp_reachable", "target": url, "passed": False, "error": "no hostname in URL"} + port = parsed.port or (443 if parsed.scheme == "https" else 80) + return check_tcp_reachable(parsed.hostname, port, timeout=timeout) + + +def describe_pod_identity() -> dict: + """Where this process is actually running - the primary execution-target evidence.""" + return { + "hostname": socket.gethostname(), + "pid": os.getpid(), + "namespace": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_NAMESPACE", ""), + "run_id": os.environ.get("DAGSTER_RUN_ID", ""), + "image": os.environ.get("DAGSTER_K8S_PIPELINE_RUN_IMAGE", ""), + } diff --git a/src/distributed_execution/repository.py b/src/distributed_execution/repository.py new file mode 100644 index 0000000..62974d4 --- /dev/null +++ b/src/distributed_execution/repository.py @@ -0,0 +1,10 @@ +"""Dagster definitions for the distributed-execution code location.""" + +from dagster import Definitions + +from distributed_execution.loosely_coupled.jobs import LOOSELY_COUPLED_JOBS +from distributed_execution.tightly_coupled.jobs import TIGHTLY_COUPLED_JOBS + +defs = Definitions( + jobs=[*TIGHTLY_COUPLED_JOBS, *LOOSELY_COUPLED_JOBS], +) diff --git a/src/distributed_execution/tightly_coupled/__init__.py b/src/distributed_execution/tightly_coupled/__init__.py new file mode 100644 index 0000000..384e263 --- /dev/null +++ b/src/distributed_execution/tightly_coupled/__init__.py @@ -0,0 +1 @@ +"""Tightly coupled execution-target reference implementations.""" diff --git a/src/distributed_execution/tightly_coupled/jobs.py b/src/distributed_execution/tightly_coupled/jobs.py new file mode 100644 index 0000000..b606fa6 --- /dev/null +++ b/src/distributed_execution/tightly_coupled/jobs.py @@ -0,0 +1,97 @@ +"""Tightly coupled reference implementations. + +Tightly coupled means the process doing the work *is* a Dagster process: it +imports the code location, connects to the metadata database and writes run +events directly. Every execution pod therefore needs network reachability to the +orchestration runtime dependencies. + +Three jobs are provided, differing only in their ``executor_def``. That single +construct is the code-level half of the execution-target binding; the other half +is the instance-level run launcher (see ``yaml/tightly-coupled/``). +""" + +from __future__ import annotations + +from dagster import graph, in_process_executor, multiprocess_executor +from dagster_k8s import k8s_job_executor + +from distributed_execution.ops import ( + generate_work_units, + process_work_units, + report_execution_target, + summarise_results, +) + +# Applied to run pods by the K8sRunLauncher; surfaces in the Dagster UI run tags. +COMMON_TAGS = { + "execution_target": "tightly_coupled", + "business_operation": "DISTRIBUTED_EXECUTION_REFERENCE", +} + +# Per-step pod shape. Only honoured by k8s_job_executor. +STEP_K8S_CONFIG = { + "container_config": { + "resources": { + "requests": {"cpu": "100m", "memory": "128Mi"}, + "limits": {"cpu": "500m", "memory": "512Mi"}, + }, + }, + "pod_spec_config": { + "restart_policy": "Never", + }, +} + + +@graph +def distributed_execution_reference(): + """Shared topology, so the three jobs differ only by execution target.""" + target_report = report_execution_target() + units = generate_work_units() + results = process_work_units(units) + return summarise_results(results, target_report) + + +# 1. Single process. Steps run inside the run worker itself - no fan-out at all. +tightly_coupled_in_process_job = distributed_execution_reference.to_job( + name="tightly_coupled_in_process_job", + description=( + "Tightly coupled, single-process. Steps execute inside the run worker. " + "Runs unchanged on a laptop and in Kubernetes." + ), + executor_def=in_process_executor, + tags={**COMMON_TAGS, "executor": "in_process"}, +) + +# 2. Subprocesses on the run worker. Fan-out bounded by that one pod's resources. +tightly_coupled_local_job = distributed_execution_reference.to_job( + name="tightly_coupled_local_job", + description=( + "Tightly coupled, multiprocess. Steps execute as subprocesses of the run worker; " + "concurrency is bounded by the run pod's CPU and memory limits." + ), + executor_def=multiprocess_executor.configured({"max_concurrent": 2}), + tags={**COMMON_TAGS, "executor": "multiprocess"}, +) + +# 3. One Kubernetes Job per step. Requires a cluster; each step pod connects to +# the metadata database on its own, which is what makes this tightly coupled. +tightly_coupled_k8s_job = distributed_execution_reference.to_job( + name="tightly_coupled_k8s_job", + description=( + "Tightly coupled, one Kubernetes Job per step. Each step pod must reach the metadata " + "database, object storage and Vault. Requires a cluster - not runnable locally." + ), + executor_def=k8s_job_executor.configured( + { + "image_pull_policy": "IfNotPresent", + "step_k8s_config": STEP_K8S_CONFIG, + } + ), + tags={**COMMON_TAGS, "executor": "k8s_job"}, +) + +TIGHTLY_COUPLED_JOBS = [ + tightly_coupled_in_process_job, + tightly_coupled_local_job, + tightly_coupled_k8s_job, +] diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..16e8fe6 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Tests for the distributed-execution reference implementations.""" diff --git a/tests/test_loosely_coupled.py b/tests/test_loosely_coupled.py new file mode 100644 index 0000000..3699f57 --- /dev/null +++ b/tests/test_loosely_coupled.py @@ -0,0 +1,86 @@ +"""Verifies the loosely coupled pipes reference end to end via the subprocess transport.""" + +import pytest +from dagster import DagsterInvariantViolationError, Failure + +from distributed_execution.loosely_coupled.jobs import ( + LOOSELY_COUPLED_JOBS, + PAYLOAD_SCRIPT, + loosely_coupled_k8s_job, + loosely_coupled_subprocess_job, +) +from distributed_execution.repository import defs + + +def test_payload_script_exists(): + from pathlib import Path + + assert Path(PAYLOAD_SCRIPT).is_file() + + +def test_payload_does_not_import_dagster(): + from pathlib import Path + + source = Path(PAYLOAD_SCRIPT).read_text(encoding="utf-8") + assert "from dagster_pipes import" in source + assert "import dagster\n" not in source + assert "from dagster import" not in source + + +def test_both_transports_are_registered(): + names = {job.name for job in defs.jobs} + assert {"loosely_coupled_subprocess_job", "loosely_coupled_k8s_job"} <= names + assert len(LOOSELY_COUPLED_JOBS) == 2 + + +@pytest.mark.parametrize( + ("job", "transport"), + [ + (loosely_coupled_subprocess_job, "subprocess"), + (loosely_coupled_k8s_job, "k8s_pod_logs"), + ], +) +def test_jobs_declare_their_execution_target(job, transport): + assert job.tags["execution_target"] == "loosely_coupled" + assert job.tags["transport"] == transport + + +def test_subprocess_job_runs_end_to_end(): + result = loosely_coupled_subprocess_job.execute_in_process() + + assert result.success + summary = result.output_for_node("summarise_results") + # Same shape as the tightly coupled reference: only the middle node changed. + assert summary["units"] == 4 + assert summary["total"] == 14 + + +def test_payload_reports_no_orchestration_credentials(monkeypatch): + monkeypatch.delenv("DAGSTER_POSTGRES_HOST", raising=False) + monkeypatch.delenv("DAGSTER_POSTGRES_USER", raising=False) + monkeypatch.delenv("DAGSTER_POSTGRES_DB", raising=False) + + result = loosely_coupled_subprocess_job.execute_in_process() + results = result.output_for_node("dispatch_external_work_subprocess") + + assert len(results) == 4 + assert all(row["host"] for row in results) + + +def test_silent_message_path_is_treated_as_failure(): + from distributed_execution.loosely_coupled.jobs import _results_from_pipes + + class _Silent: + def get_custom_messages(self): + return [] + + class _Ctx: + class log: # noqa: N801 + @staticmethod + def warning(*_args, **_kwargs): ... + + @staticmethod + def info(*_args, **_kwargs): ... + + with pytest.raises(Failure, match="No pipes messages received"): + _results_from_pipes(_Ctx(), _Silent()) diff --git a/tests/test_tightly_coupled.py b/tests/test_tightly_coupled.py new file mode 100644 index 0000000..9bfbf86 --- /dev/null +++ b/tests/test_tightly_coupled.py @@ -0,0 +1,59 @@ +"""Verifies that execution-target linkage is what the guide claims it is.""" + +import pytest + +from distributed_execution.preflight import check_env_vars, describe_pod_identity +from distributed_execution.repository import defs +from distributed_execution.tightly_coupled.jobs import ( + tightly_coupled_in_process_job, + tightly_coupled_k8s_job, + tightly_coupled_local_job, +) + +EXPECTED_JOBS = { + "tightly_coupled_in_process_job", + "tightly_coupled_local_job", + "tightly_coupled_k8s_job", +} + + +def test_repository_registers_tightly_coupled_jobs(): + names = {job.name for job in defs.jobs} + assert EXPECTED_JOBS <= names + + +@pytest.mark.parametrize( + ("job", "expected_executor"), + [ + (tightly_coupled_in_process_job, "in_process"), + (tightly_coupled_local_job, "multiprocess"), + (tightly_coupled_k8s_job, "k8s_job"), + ], +) +def test_each_job_declares_its_execution_target(job, expected_executor): + assert job.tags["execution_target"] == "tightly_coupled" + assert job.tags["executor"] == expected_executor + + +def test_in_process_job_runs_end_to_end(): + result = tightly_coupled_in_process_job.execute_in_process() + + assert result.success + summary = result.output_for_node("summarise_results") + assert summary["units"] == 4 + assert summary["total"] == 14 # 0 + 1 + 4 + 9 + # In-process execution never fans out beyond the run worker. + assert len(summary["contributing_hosts"]) == 1 + + +def test_env_var_check_reports_missing_names(): + result = check_env_vars(("DEFINITELY_NOT_SET_12345",)) + + assert result["passed"] is False + assert result["missing"] == ["DEFINITELY_NOT_SET_12345"] + + +def test_pod_identity_falls_back_outside_kubernetes(monkeypatch): + monkeypatch.delenv("DAGSTER_K8S_PIPELINE_RUN_NAMESPACE", raising=False) + + assert describe_pod_identity()["namespace"] == "" diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..588422d --- /dev/null +++ b/uv.lock @@ -0,0 +1,2444 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version < '3.13'", +] + +[[package]] +name = "aiohappyeyeballs" +version = "2.7.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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watches the payload Job. +# +# Note what is NOT here: the payload itself needs no RBAC, no database +# credentials and no Vault role. Its only channel back to the control plane is +# the pod log stream, which the dispatching pod reads. +# +# If the payload runs in a different namespace from the dispatcher, apply this +# Role in the PAYLOAD namespace and keep the RoleBinding subject pointing at the +# dispatcher's service account. + +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + name: distributed-execution-pipes-dispatcher + namespace: dagster +rules: + - apiGroups: ["batch"] + resources: ["jobs", "jobs/status"] + verbs: ["create", "get", "list", "watch", "delete"] + # pods/log is the message channel for PipesK8sPodLogsMessageReader. + # Without it the payload runs but reports nothing. + - apiGroups: [""] + resources: ["pods", "pods/log", "pods/status"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: distributed-execution-pipes-dispatcher + namespace: dagster +subjects: + - kind: ServiceAccount + name: dagster-dev + namespace: dagster +roleRef: + kind: Role + name: distributed-execution-pipes-dispatcher + apiGroup: rbac.authorization.k8s.io diff --git a/yaml/loosely-coupled/values-pipes-payload.yaml b/yaml/loosely-coupled/values-pipes-payload.yaml new file mode 100644 index 0000000..98f93cd --- /dev/null +++ b/yaml/loosely-coupled/values-pipes-payload.yaml @@ -0,0 +1,32 @@ +# Loosely coupled execution target - code location overrides. +# +# Merge into the dagster-user-deployments entry for this code location. These +# values point the pipes client at the payload image and target namespace. +# +# Contrast with yaml/tightly-coupled/values-run-launcher.yaml: there, every +# execution pod needed S3 and Vault credentials. Here the payload needs none - +# only the dispatching pod does. + +dagster: + dagster-user-deployments: + deployments: + - name: distributed-execution + envSecrets: [] + env: + - name: PIPES_PAYLOAD_IMAGE + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster + + # The dispatching RUN pod creates the payload Job, so the image reference and + # namespace must also be visible to run pods, not just the code server. + runLauncher: + config: + k8sRunLauncher: + runK8sConfig: + containerConfig: + env: + - name: PIPES_PAYLOAD_IMAGE + value: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution/payload:0.1.0 + - name: PIPES_PAYLOAD_NAMESPACE + value: dagster diff --git a/yaml/tightly-coupled/rbac-step-executor.yaml b/yaml/tightly-coupled/rbac-step-executor.yaml new file mode 100644 index 0000000..4e5b6ec --- /dev/null +++ b/yaml/tightly-coupled/rbac-step-executor.yaml @@ -0,0 +1,34 @@ +# Kubernetes RBAC required by the k8s_job_executor. +# +# The in_process and multiprocess executors need NONE of this - the run worker +# does all the work itself. Only tightly_coupled_k8s_job, which creates one +# Kubernetes Job per step, needs permission to manage Jobs and read their pods. +# +# Bind to the service account used by the Dagster run pods (dagster.serviceAccount.name). + +apiVersion: rbac.authorization.k8s.io/v1 +kind: Role +metadata: + name: distributed-execution-step-runner + namespace: dagster +rules: + - apiGroups: ["batch"] + resources: ["jobs", "jobs/status"] + verbs: ["create", "get", "list", "watch", "delete"] + - apiGroups: [""] + resources: ["pods", "pods/log", "pods/status"] + verbs: ["get", "list", "watch"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: RoleBinding +metadata: + name: distributed-execution-step-runner + namespace: dagster +subjects: + - kind: ServiceAccount + name: dagster-dev + namespace: dagster +roleRef: + kind: Role + name: distributed-execution-step-runner + apiGroup: rbac.authorization.k8s.io diff --git a/yaml/tightly-coupled/values-run-launcher.yaml b/yaml/tightly-coupled/values-run-launcher.yaml new file mode 100644 index 0000000..fc230d7 --- /dev/null +++ b/yaml/tightly-coupled/values-run-launcher.yaml @@ -0,0 +1,54 @@ +# Tightly coupled execution target - instance-level run launcher. +# +# Merge into the Dagster chart values. This is the half of the execution-target +# binding that lives OUTSIDE workflow code: it decides where the run worker for +# an entire run is placed, and what that pod can reach. +# +# Companion to src/distributed_execution/tightly_coupled/jobs.py, which decides +# how the steps INSIDE that run worker execute. + +dagster: + runLauncher: + type: K8sRunLauncher + config: + k8sRunLauncher: + # Namespace the run pods land in. Must be a namespace whose NetworkPolicy + # permits egress to Postgres, object storage and Vault - see AC1 + # prerequisites in the user guide. + jobNamespace: dagster + + # Surfaces step failures as pod failures so kubectl and Dagster agree. + failPodOnRunFailure: true + + runK8sConfig: + podTemplateSpecMetadata: + annotations: + vault.security.banzaicloud.io/vault-inject: "true" + vault.security.banzaicloud.io/vault-addr: https://secrets.common01.dev.simpl-europe.eu + vault.security.banzaicloud.io/vault-role: dev-role + vault.security.banzaicloud.io/vault-skip-verify: "true" + vault.security.banzaicloud.io/vault-path: kubernetes + + containerConfig: + resources: + requests: + cpu: 100m + memory: 128Mi + limits: + cpu: 500m + memory: 512Mi + + # Everything below is what "tightly coupled" costs you: each run pod + # needs credentials for, and network reachability to, the full + # orchestration runtime. A loosely coupled target needs none of it. + env: + - name: DAGSTER_TELEMETRY_ENABLED + value: "false" + - name: TOKEN + value: "vault:dev/data/dagster/dagster-workflow-vault-secret#VAULT_ACCESS_TOKEN" + - name: S3_ENDPOINT_URL + value: "https://s3.dev.simpl-europe.eu" + - name: S3_ACCESS_KEY + value: "vault:dev/data/dev-orchestration-platform#S3_ACCESS_KEY" + - name: S3_SECRET_KEY + value: "vault:dev/data/dev-orchestration-platform#S3_SECRET_KEY" diff --git a/yaml/values-dagster-distributed-execution.yaml b/yaml/values-dagster-distributed-execution.yaml new file mode 100644 index 0000000..370e24b --- /dev/null +++ b/yaml/values-dagster-distributed-execution.yaml @@ -0,0 +1,54 @@ +dagster: + # =========================================================================== + # CODE LOCATION - distributed-execution + # =========================================================================== + # Deploys this repository as a Dagster code location so the reference jobs + # appear in the UI alongside production workflows. + # MANAGED BY GITLAB CI/CD - DO NOT CHANGE MANUALLY + dagster-user-deployments: + deployments: + - name: distributed-execution + location_name: distributed-execution + enabled: true + enableSubchart: true + + codeServerArgs: + - "--host" + - "0.0.0.0" + - "--port" + - "4000" + - "--python-file" + - "src/distributed_execution/repository.py" + + envFrom: + - secretRef: + name: distributed-execution-dagster-db-secret + - configMapRef: + name: distributed-execution-dagster-db-config + + image: + pullPolicy: IfNotPresent + repository: code.europa.eu:4567/simpl/simpl-open/data/supporting-data-services/distributed-execution + tag: 0.0.0 # DO NOT CHANGE - replaced automatically by the pipeline before releasing + + port: 4000 + + resources: + requests: + cpu: 100m + memory: 256Mi + limits: + cpu: 500m + memory: 512Mi + + livenessProbe: + enabled: true + periodSeconds: 30 + timeoutSeconds: 5 + failureThreshold: 3 + + readinessProbe: + enabled: true + periodSeconds: 10 + timeoutSeconds: 3 + failureThreshold: 3