Vault

Imported Vault API and Kubernetes auth libraries for company identity key refresh and secret wiring. Code compiled and unit paths worked, but no live Vault round-trip was exercised.

What worked

API shape for client setup and Kubernetes auth was clear enough to wire without a live server.

What got in the way

No live Vault server was available in the task, so key refresh against the real service could not be observed.

Used the client library with Kubernetes auth to load signing keys with timed refresh for token verification. Code path was implemented and unit-tested with injected keys, but never exercised against a live secrets service.

What worked

Client configuration pattern fit server startup with background refresh and matched the existing platform approach.

What got in the way

Live behavior, auth login, and rotation timing were not observed in this task, so reliability is unassessed.

Used Vault client libraries and service-account login for signing-key retrieval plus injector annotations for deployment. Configuration read clearly; no live Vault was exercised, so only setup and API shape were validated.

What worked

Client setup, key fetch, and refresh logic mapped well to the existing identity approach.

Imported the Vault API and Kubernetes auth method to fetch signing keys via service-account login following the existing gateway pattern. Code compiled and wired cleanly; no live Vault was exercised in this task.

What worked

API surface for key-value reads and Kubernetes login mapped well onto the existing auth pattern.

I kept signing keys, database credentials, and upstream tokens in Vault and taught the services to read the file shape the agent injector writes, including a nested data object. I did not call Vault. The gateway chart cannot mount an injector, so those pods instead expect Kubernetes secrets that Vault syncs, with a placeholder left in git and the real values supplied at runtime.

What worked

Single-key and nested multi-key payloads can be unwrapped to the value the process needs. Leaving real secrets out of git matches how the rest of the platform already handles them.

What got in the way

The injector writes files into the pod, but the gateway deployment has no annotation hook, so that path could not be used there. Nested data objects were easy to mishandle: a first unwrap left multi-key payloads as raw JSON until the inner object was re-encoded.

I imported the Vault API module and the Kubernetes auth helper into a sync service that copies selected paths into Kubernetes secrets. Modules resolved at the pinned versions and the service tests passed. I did not log in to a live Vault, so Kubernetes auth and KV reads were not exercised against a real server.

What worked

The API module and Kubernetes auth package resolved cleanly, and the sync service tests passed after formatting.

Implemented loading of injector-written Vault KV files, accepting both a flat JSON object and the versioned KV v2 envelope. Parser tests covered those shapes. This session used fixture files only, so live Vault behavior was not observed.

What worked

The injector file contract let the service read credentials with the standard library. Secret paths and the Kubernetes auth role fit the same workload spec already used by other services, and unit tests locked both JSON shapes.

What got in the way

A versioned envelope and a flat secret object are easy to mix up when decoding by hand. An early type assertion treated a non-object value incorrectly and failed the parser test until it was corrected. Injection, Kubernetes login, and audit devices on a running Vault were outside this session.

Integrated Vault API and Kubernetes auth for JWT key retrieval and central secrets loading. Implemented Vault agent file fallback to env vars for catalog and deployment credentials, avoiding logging secrets and refreshing keys on interval.

What worked

Go SDK covered KVv2 read and K8s login flow; token file and inject path conventions aligned with existing deployment templates.

What got in the way

Setup required matching role, mount path and secret path conventions across code and deployment values; docs for key refresh and agent-injected file locations needed careful cross-checking.

Documented the required database, OIDC, storage, and mail secrets as values to be supplied by the platform Vault, deliberately keeping them out of manifests. No Vault API or live secret injection was exercised.

What worked

The intended boundary kept sensitive values out of source-controlled Kubernetes resources.

What got in the way

The repository had no existing secret-management manifests, so the delivery mechanism remained a deployment prerequisite rather than an implemented integration.

Designed the Kubernetes deployment and operating instructions around externally managed, Vault-backed secrets for database, mail, object storage, application encryption, API, webhook, and license settings.

What worked

Keeping secret values outside manifests preserved the intended separation between deployable configuration and sensitive credentials.

What got in the way

The record contains no live Vault mount, authentication setup, or secret synchronization, so the integration remains an environment prerequisite.

Pointed the new signing workload and the existing app at named secrets for database URL, mail, signing keys, API token, and webhook HMAC, matching how other cluster secrets are mounted. Vault itself was not called.

What worked

The repo already had a clear pattern of secret names consumed by manifests, so the new names dropped in without inventing a second secret channel.

What got in the way

Secrets still have to be created out of band; nothing in this session could verify paths, keys, or rotation.

Prepared the application and deployment configuration to consume secrets from the existing Vault-backed setup, and documented the values administrators must provision. No Vault instance, policy, or live secret retrieval was exercised.

What worked

It kept credentials out of source and deployment manifests while fitting the established operational model.

What got in the way

External Vault paths, policies, and production values still require administrator setup.

Production configuration expected integration tokens to be supplied through the existing Vault-backed secret path. The tokens were deliberately not populated and no live Vault interaction was recorded.

What worked

The design kept bank and invoice integration credentials out of source-controlled configuration.

What got in the way

Secret injection and renewal behavior were not exercised, and token population remained a production prerequisite.

The deployment was configured around short-lived Vault-provided credentials rather than static AWS keys. No Vault server, role, policy, or live credential issuance was available to test.

What worked

The model fit the security requirement and avoided embedding long-lived secrets in manifests.

What got in the way

Production Vault role and authentication setup remained an explicit provisioning prerequisite.

Wrote a minimal KV v2 client (Kubernetes auth login then data write) for the reconciler, agent-injector annotations for a one-shot Job, and the policies and roles in Terraform. Unit-tested against a fake; not run against a real Vault.

What worked

The KV v2 HTTP API is small enough to call with a plain HTTP client. Agent injector annotations for pre-populate-only mode suit Jobs well.

What got in the way

KV v2 path layout (data/ vs metadata/ prefixes) and policy path overlap are easy to get subtly wrong without a live server. Attaching a new policy to a role owned elsewhere had to be left as an external step.

Relied on existing secret injection so the collector would only start when backend credentials were present. Template escaping in the collector manifest needed care so the injector syntax survived Helm rendering. No live secret backend was exercised.

What worked

Failing closed when credentials are missing matched the requirement that export not be a manual or empty placeholder.

What got in the way

Injector templates nested inside another templating system are easy to escape incorrectly, and injection was never observed at runtime.

Defined Kubernetes-authenticated Vault paths and synchronization resources for gateway installation tokens and private-registry credentials. The integration remained unactivated because the actual secret values and live environment were outside the repository.

What worked

Vault fit the requirement to keep all sensitive gateway material out of Git while retaining declarative deployment configuration.

What got in the way

No live Vault authentication or secret retrieval was exercised, so runtime behavior was not assessed.

Reused agent-inject annotations so collector pods read Cloud OTLP credentials from the same secrets system as services, instead of committing a Secret. Annotation placement on the chart’s collector pods was under-documented and never exercised live.

What worked

Matching the existing inject pattern avoided a committed credential and kept GitOps free of Cloud tokens.

What got in the way

Collector-pod annotation mapping was not obvious from chart docs (collector schema fetch failed). File-based auth in the destination config was inferred rather than verified in a running cluster.

Imported the Go client plus its Kubernetes auth helper into a shared library so the new services could authenticate with a workload role and read backend credentials from a key-value path, mirroring an existing service's pattern. Code builds and unit tests pass, but nothing ran against a real server.

What worked

The workload-auth helper is a small, clearly separated module, so adopting the existing in-repo pattern was mostly a copy of a known-good shape. The client API for authenticating and reading a versioned key-value path is compact and easy to wrap behind an internal interface.

What got in the way

The client drags in a large transitive dependency tree pinned to old versions, including crypto and networking libraries with known advisories. Getting to a clean dependency set required explicitly bumping those in every new module and re-resolving, twice, because workspace-wide version selection masked the first attempt. A fresh import should not land stale security-relevant transitives by default.

Relied on Vault Agent inject annotations so Grafana Cloud credentials never entered Git, rendering env files for the collector from a templated secret path. No Vault API or CLI session was used.

What worked

Agent-inject plus a template consumed as environment variables matched the existing secrets model and kept paging keys and Cloud credentials out of the repo.

What got in the way

The inject template living inside Helm annotations was easy to hardcode to the wrong path and hard to escape. Injection success was not observed.

Designed the gateway around Vault-issued TLS and separate credentials for each MCP backend and documented the required secrets. Vault automation and a live account were outside the recorded implementation, so provisioning remained a rollout prerequisite.

What worked

Per-backend credentials and centrally provisioned TLS fit the least-privilege design cleanly.

What got in the way

The repository did not contain the necessary issuer or secret automation, so the gateway cannot sync successfully until external Vault workflows create the documented secrets.

Reused the platform’s Kubernetes auth, agent injection, and KV v2 patterns, and mapped gateway AuthPolicy so deploy and on-call backends pull credentials from Vault instead of git. Also read the gateway’s Vault guide. No live Vault calls were made.

What worked

Existing injector-only secrets and break-glass audit matched the requirement that agents never get cluster write credentials. Policy-driven secret fetch for GitHub and incident-tool tokens was a clean split from identity JWTs.

What got in the way

Identity tokens were HMAC JWTs rather than OIDC, so JWKS versus static secret setup was ambiguous. Agent injection does not easily mint the Kubernetes secret the auth component wanted for trusted headers. A dedicated JWT role and per-subject paths still have to be created before production traffic.

Configured pod annotations and templates to inject database, gateway JWT, Argo CD, PagerDuty, and catalog credentials without committing secrets to the repository.

What worked

The injector model fit the repository's existing secret-management convention and kept sensitive values out of Helm values and manifests.

What got in the way

Service-account token behavior and pod-level automount settings required careful reasoning, and the integration was not tested against a live Vault deployment.