2026-09-17

The Business Case for Open Observability — and Why Eliatra Is the Long-Term Home for It

In the final article of Eliatra’s OpenTelemetry and OpenSearch observability series, we explore the business benefits of a unified, scalable observability stack and how Eliatra helps organisations sustain those benefits long term.

Reading time: 4 minutes

By Alannah Melly

Part 1 of this series made the technical case for pairing OpenTelemetry with OpenSearch. Part 2 covered how Eliatra actually implements that pairing in production. This final article is about what the combination is worth to the business once it’s running — and why that value doesn’t sustain itself without someone maintaining it, which is the gap Eliatra exists to close.

What Leadership Actually Gets Out of This

The technical fit between OTel and OpenSearch translates into a small number of concrete business outcomes:

One platform instead of three. Traces, metrics, and logs converging on a single backend means one system to operate, one query language (PPL) to learn, and one place engineers look during an incident instead of pivoting between tools.
Materially lower cost than proprietary observability platforms. Commercial APM and observability vendors typically price on data volume or host count, and that cost scales directly with the thing observability is supposed to help you do more of — instrument everything. An open stack removes that structural tension between good observability practice and controlling cost.
No re-instrumentation tax if priorities change. Because OTel decouples instrumentation from the backend, a decision to consolidate observability tooling doesn’t require touching application code — the data can be redirected at the collector level.
A foundation that scales with the business rather than against it. As data volumes grow, an open, self-hosted observability backend scales on infrastructure cost rather than a per-GB licence fee — the difference between observability getting more expensive as the business succeeds and it getting proportionally cheaper.

The Part the Business Case Usually Leaves Out

A production-grade OTel-on-OpenSearch deployment — the kind described in Part 2, with tuned Data Prepper pipelines, SS4O alignment, and a proper security configuration — is not a one-time build. It needs patching as OpenSearch and Data Prepper release new versions, monitoring so pipeline issues surface before they become incidents, and someone who still understands the original design decisions two years later when the person who made them has moved on. Most self-directed deployments don’t fail at launch; they degrade quietly over the following eighteen months, as the gap between “how this was designed to run” and “how it’s actually being run” widens.

Why Eliatra’s LTS Standing Matters Here

Eliatra is a founding accredited provider under the OpenSearch Software Foundation’s Long-Term Support (LTS) program. In practice, that means a deployment can be put on a supported, long-term footing from day one — patched, monitored, and maintained by a team with direct upstream involvement in the OpenSearch project, rather than left to whoever configured it originally. For an observability stack specifically, that ongoing ownership is what keeps the Part 2 work — the pipeline tuning, the schema alignment, the security configuration — intact as OpenSearch, Data Prepper, and the organisation’s own data volumes all continue to change.

The Full Picture Eliatra Brings

Across all three articles in this series, the common thread is the same: Eliatra’s focus is exclusively OpenSearch, applied specifically to what an OTel-based observability deployment needs — Data Prepper pipeline design, Observability plugin configuration, and a security layer grounded in the same discipline behind Eliatra’s Encryption at Rest plugin. Eliatra also provides custom development and professional services for OpenSearch specifically, including configuration and fine-tuning for individual use cases, so the deployment fits the organisation’s actual traffic patterns and compliance requirements rather than a generic default.

Where This Leaves You

OpenTelemetry and OpenSearch already solve the vendor lock-in and tooling-fragmentation problem that most observability stacks quietly accumulate over years — that was Part 1. Getting the pairing running correctly in production is real, specific work — that was Part 2. And keeping it running correctly, supported, and secure for as long as the business depends on it is what separates a deployment that pays off from one that quietly erodes — that’s this article.

Eliatra is a founding accredited provider under the OpenSearch Software Foundation’s LTS program, with a specific focus on OpenSearch security, custom development, and managed operations. If you’re evaluating OpenTelemetry and OpenSearch as your observability backend, or already running the combination and want it properly tuned and supported, get in touch — a scoping conversation costs nothing.