Get an engineer-led evaluation to move from assumptions to evidence. Specialists assess your architecture, revealing where operational risk, capacity bottlenecks and avoidable cloud costs are building.
Elastic is an exceptionally capable platform. However, as telemetry estates grow, managing uncoordinated data streams can introduce hidden configuration drift. We audit your deployment to isolate technical bottlenecks, evaluate capacity efficiency and define concrete technical remedies.
Before: Elastic licensing costs increase year-on-year, but renewal sizing relies on rough estimates rather than validated workload patterns.
After: Size renewals accurately using evidence from historical cluster usage, node utilisation and data tiering.
Before: Planned version upgrades stall over unknown mapping deprecations, custom ingest plugins and architecture dependencies.
After: Pinpoint breaking schema changes, deprecation warnings and readiness blockers before scheduling change windows.
Before: Nodes, indices, mappings and ingestion pipelines have expanded organically without clear architectural boundaries.
After: Surface hidden cluster fragility, unaligned shard sizing and pipeline backpressure across the platform.
Before: Ingestion volume and storage spend expand steadily without visibility into index retention or indexing efficiency.
After: Identify cold data candidates, uncompressed fields and unindexed logs to reduce unnecessary infrastructure expenditure.
Specialists inspect your deployment through a structured four-stage review to validate operational stability and identify technical debt.
| Stage | Review focus | Your engineering deliverable |
|---|---|---|
| 1. Scope alignment | Confirm cluster topologies, node counts, cloud environments and primary data consumers. | A documented baseline of your current platform footprint and business SLAs. |
| 2. Evidence collection | Direct review of cluster configurations, index templates, mapping definitions and pipeline logs. | Detailed log of configuration errors, schema drift and unoptimised queries. |
| 3. Health assessment | Technical analysis of shard allocation, memory pressure, cache hit ratios and storage tiering. | Concrete assessment of cluster saturation, indexing performance and resource waste. |
| 4. Findings & next steps | Technical walkthrough detailing verified findings, priority ratings and recovery steps. | An actionable engineering roadmap your internal team can implement directly. |
Specialists help your platform team pinpoint exactly what is stable, what causes latency and where maintenance effort is wasted. Every recommendation includes technical evidence and tested remediation steps.
Our findings deliver cluster stability for platform teams, budget control for engineering leadership and transparent cost forecasting for finance directors.
Obtain the engineering evidence required to stabilise query performance, eliminate cluster risks and control cloud spend. Specialists review your deployment directly so your team can focus on roadmap delivery.
Book your Elastic audit