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trino-production-readiness-review

Audit Trino cluster configurations against a production readiness checklist.

14|1|Updated May 5, 2026
Search Tags:#security#kubernetes#production readiness#observability#trino#iceberg#memory tuning
One-click install
npx skills add https://github.com/ivanshamaev/de-agent-skills --skill trino-production-readiness-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trino-production-readiness-review
Source: https://github.com/ivanshamaev/de-agent-skills/tree/main/group_skills/trino_group_skills/trino_production_readiness_review
Command: npx skills add https://github.com/ivanshamaev/de-agent-skills --skill trino-production-readiness-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you prevent Trino production failures by providing a concrete readiness checklist across HA, security, resource governance, observability, and core operational tasks.

Core Features & Use Cases

  • Production-grade configuration review: Validates critical Trino settings for coordinator/workers placement, health checks, and load balancer behavior to reduce downtime during launches and upgrades.
  • Performance, memory, and spill readiness: Ensures JVM sizing, query memory limits, spill-to-disk configuration, and batch fault-tolerance are aligned with your workload and node resources.
  • Operational hardening for day-2: Covers authentication and TLS, resource groups for multi-tenancy, monitoring/alerting, log rotation, query history retention, and Hive Metastore backup/restore readiness for Iceberg workflows.

Example use case: Before migrating an analytics workload to Trino from development, run this checklist to confirm HA routing, secure connector credentials, memory guardrails, and Iceberg maintenance jobs are in place.

Quick Start

Use the trino-production-readiness-review skill to audit your planned Trino production deployment and produce a readiness gap list for coordinator HA, security, JVM/memory limits, monitoring, and Iceberg maintenance.

Frequently Asked Questions about trino-production-readiness-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare a Trino cluster for production analytics workloads?▼

To prepare a Trino cluster for production, verify coordinator HA planning, worker autoscaling, security, and resource governance. A production readiness checklist validates JVM sizing, query memory limits, and monitoring to ensure operational stability for analytics workloads.

What is the best way to configure Trino memory limits and spill-to-disk?▼

Configuring Trino memory limits and spill-to-disk requires aligning JVM sizing and query memory settings with node resources. A readiness checklist verifies spill-to-disk configuration and batch fault-tolerant execution to prevent workload failures.

Does this Trino production readiness checklist apply to Kubernetes deployments?▼

Yes, this Trino production readiness checklist applies to Kubernetes deployments. It validates coordinator and worker placement, health checks, load balancer behavior, and worker autoscaling configurations for both Kubernetes and bare metal environments.

How do I secure Trino authentication and TLS for multi-tenant operations?▼

Securing Trino authentication and TLS involves configuring secure connector credentials and access controls. The readiness review validates TLS setup and resource groups for multi-tenancy to ensure safe, isolated operations.

What operational tasks are needed for Trino Iceberg workflows on day-2?▼

Day-2 operational tasks for Trino Iceberg workflows include setting up Hive Metastore backup and restore readiness. The checklist also verifies log rotation, query history retention, and monitoring and alerting configurations.

Why do I need to verify Hive Metastore backup before migrating analytics to Trino?▼

Verifying Hive Metastore backup before migrating to Trino protects your Iceberg table metadata. A readiness review confirms backup and restore readiness alongside secure connector credentials and HA routing to prevent data loss.

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