OpenTelemetry in public sector using Elastic
Open, scalable, flexible — all are critical elements of any modern observability solution. Especially for public sector organizations, which often have large, complex technology landscapes that are a mix of modern cloud and legacy solutions.
Yet generating, collecting, processing, and transmitting observability data from applications and systems isn’t always open and flexible. Orgs often feel locked in to current vendors with proprietary agent-based collection technology.
That’s why OpenTelemetry (OTel) has gained so much momentum recently. It decouples telemetry collection for key datasets, including metrics, logs, and traces, from backend data stores and analysis tools.
This white paper outlines the ins and outs of the OTel framework and technologies and how they can be used with Elastic to cut costs and improve efficiencies. Here are a few topics the paper covers:
Highlights
- How open architecture and industry standards, such as OTel, create technology environments that are sustainable, agile, and supportable
- How AI and machine learning (ML) tools, combined with OTel data collection, expedite problem detection and accelerate problem resolution
- How OTel and Elastic help foster an end-to-end view of all systems and data spanning across applications and infrastructure
Additional resources
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