ElasticRAM -Xmx31g OOPs & Shard Studio

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ILM-HOT-WARM // Tiered Storage Lifecycle

ElasticRAM ILM / ISM Hot-Warm-Cold Tiering: Local PCIe NVMe + S3 Snapshot Lifecycle

In ElasticRAM multi-tier retention modeling, the vast majority of SOC and DevOps log queries inspect the most recent 7 to 14 days of events. Keeping 90–365 days of unmerged indices on hot-tier RAM nodes inflates hardware budgets unnecessarily when automated ISM/ILM state transitions can tier older shards cleanly.

Our ElasticRAM lifecycle template pairs 14-day Hot NVMe indexing with automated force_merge(max_num_segments=1) and S3 snapshots so long-term compliance archives remain economical.

Load ILM-HOT-WARM Preset in ElasticRAM Split-Pane Studio →

ElasticRAM RAM, JVM Heap & Lucene Cache Matrix for ILM-HOT-WARM

Workload Scale Tier Host RAM JVM Heap Flags Lucene Cache / NVMe OOPs & Shard Guardrail
Hot Tier (Days 0–14 • Active Ingest) 1:20 – 1:30 RAM:Disk -Xmx31g + RAID/Direct NVMe 64GB VDS / High-Frequency NVMe Active Write Alias & Fast Queries
Warm Tier (Days 15–90 • Read-Only Merged) 1:80 – 1:120 RAM:Disk -Xmx31g + 2TB–4TB Dense NVMe Bare-Metal Ryzen 2TB+ NVMe Force-Merged to 1 Segment
Cold / Snapshot Tier (Days 91–365+) Object Storage S3 / R2 On-Demand Restore / Snapshot Search S3-Compatible Object Bucket Audit & Compliance Retention

ElasticRAM Reference Configuration Snippet (ILM-HOT-WARM)

ElasticRAM Reference // ilm-hot-warm-cold-nvme
// OpenSearch ISM Policy: 14d Hot NVMe -> Force-Merge Warm -> 90d Delete (After S3 Snapshot)
{
  "policy": {
    "description": "ElasticRAM Hot-Warm-Delete 90d Lifecycle",
    "default_state": "hot",
    "states": [
      {
        "name": "hot",
        "actions": [{ "rollover": { "min_primary_shard_size": "35gb", "min_index_age": "7d" } }],
        "transitions": [{ "state_name": "warm", "conditions": { "min_index_age": "14d" } }]
      },
      {
        "name": "warm",
        "actions": [
          { "force_merge": { "max_num_segments": 1 } },
          { "replica_count": { "number_of_replicas": 0 } }
        ],
        "transitions": [{ "state_name": "delete", "conditions": { "min_index_age": "90d" } }]
      },
      { "name": "delete", "actions": [{ "delete": {} }], "transitions": [] }
    ]
  }
}

ElasticRAM Production Tuning Rules for ILM-HOT-WARM

  • Configure automated daily snapshots to S3-compatible object storage first: once an immutable snapshot is verified in S3, your Warm tier can drop replica count from 1 to 0, halving Warm NVMe consumption.
  • Tag Hot nodes with node.attr.temp: hot and dense 2 TB+ Ryzen servers with node.attr.temp: warm so ISM relocates rolled-over indices off primary ingest drives automatically.
  • Schedule force_merge actions strictly after an index rolls out of the active write alias so background merges never contend with live bulk writes.

ElasticRAM Matched Infrastructure Tiers for ILM-HOT-WARM (2026-11-12 Public Rates)

We match the providers below strictly by published RAM GB and PCIe/RAID-10 NVMe specifications retrieved 2026-11-12; promotional and renewal prices may change, so verify exact totals on the vendor checkout page.

ElasticRAM Technical FAQs: ILM-HOT-WARM

Why does ElasticRAM enforce 15% free NVMe disk headroom on both Hot and Warm ISM tiers?

Beyond OpenSearch halting shard allocation at 85% utilization (disk.watermark.low), running force_merge(max_num_segments=1) writes a complete merged Lucene segment alongside old segments before unlinking prior files — requiring transient free disk equal to at least your largest 30–50 GB shard.

Related ElasticRAM OpenSearch & Wazuh Blueprints