spark-jobserver
spark-jobserver is a service that exposes a job-queue style interface for submitting and managing Apache Spark jobs, allowing clients to submit Spark applications to a Spark cluster through an intermediary server.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Because no concrete implementation/config/security documentation was provided in the prompt, scores are conservative guesses based on typical OSS service patterns. When deploying in real environments, ensure TLS is enforced, restrict network access, add strong authentication/authorization at the service or proxy layer, and avoid logging sensitive submission parameters.
⚡ Reliability
Use Cases
- • Submitting Spark jobs via a central job-server endpoint
- • Queueing and tracking Spark workloads from external clients
- • Integrating Spark job submission into systems that prefer a server-side submission layer
Not For
- • Building a serverless/event-driven API for arbitrary workloads
- • Security-sensitive multi-tenant environments without additional hardening
- • Use as a managed cloud service with SLAs or guaranteed uptime
Interface
Authentication
No explicit authentication/authorization details were provided in the prompt content; auth capabilities cannot be confirmed from available data.
Pricing
Agent Metadata
Known Gotchas
- ⚠ If the job server does not support idempotent job submission, retries may create duplicate Spark applications.
- ⚠ Spark job submission/monitoring can be stateful; agents should poll for job state and handle transient failures carefully.
- ⚠ Without explicit API contract/docs, agents may need to infer request/response formats and may miss edge-case constraints.
Alternatives
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Scores are editorial opinions as of 2026-04-04.