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Routing and optimization of telemetry

In the modern digital environment, where IT infrastructure is distributed between clouds, on-premises data centers, microservices, and mobile devices, the amount of telemetry is growing exponentially. Logs, metrics, security events, transaction tracing—these data form a gigantic stream that needs to be effectively collected, processed, filtered, and delivered to the necessary systems. This is exactly what observability pipelines are for—architectural solutions that provide centralized management of telemetry streams.

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DESCRIPTION

Observability pipeline is a framework or software platform that enables the connection of telemetry sources (servers, applications, network devices, etc.) to various consumers (SIEM, APM, data lakes, cloud services), while performing filtering, transformation, masking, normalization, and data routing in real time.

Thanks to such pipelines, organizations can reduce the volume of transmitted data, improve their quality, decrease the load on monitoring tools, and significantly reduce the costs associated with telemetry processing.

PURPOSE

What problems do Observability Pipelines solve?

Modern companies face a number of critical challenges associated with the growing volume of telemetry:

Overload of SIEM and monitoring systems: Data arrives in huge volumes, often duplicating information or containing irrelevant information.
Inefficient storage: Storing “raw” logs in the cloud or SIEM is expensive and often unjustified.
Lack of a unified standard: Data sources have different formats, complicating integration.
Lack of control: Without pipelines, security and infrastructure teams can’t accurately determine which data goes where, at what quality level, and whether it’s duplicated.

Observability pipelines allow centralized management of all data streams, implementing transformation and delivery policies according to business needs.

HOW IT WORKS?

Observability pipeline receives telemetry from various sources (servers, agents, syslog, API), processes it according to set rules (e.g., removal of sensitive information, format change, record aggregation), and directs it to appropriate targets: SIEM, S3, cloud APM, local databases, analytical platforms, etc.

Key functions of Observability Pipelines:

Filtering: discarding irrelevant or duplicate events.
Transformation: changing format, combining, or splitting fields.
Masking: hiding or hashing sensitive data.
Normalization: bringing different formats to a unified view.
Routing: dynamically directing data to different systems according to rules.
Observation: monitoring volumes, logs, and errors within the pipeline itself.

Cost reduction

Reducing the amount of data sent to SIEM or cloud services can save thousands on licenses and storage.

Flexibility and control

Determining which data to send where, in what form, and for what purposes.

Improving SOC and DevOps productivity

Less noise – faster incident investigation and real threat detection.

Accelerating integration

Simplifying the connection of new sources and systems, regardless of their architecture.

Data unification

A single standard allows for better analysis and event correlation.

USAGE

Companies today use observability pipelines across various sectors:

Financial institutions optimize the volume of security data to meet regulatory requirements and reduce storage costs;
Retail and eCommerce rely on telemetry pipelines during peak loads for faster event processing and failure prevention;
Telecom operators structure and route data from millions of devices for better monitoring and analytics;
The corporate sector and government institutions centralize logging in hybrid environments from dozens of systems in the cloud and local data centers.

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If you want to get more from your data — spend less, respond faster, see better — contact iIT Distribution.
We will help you choose solutions, conduct demonstrations, and implement tools for building an effective observability pipeline tailored to your landscape.

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Technological leader for implementing observability pipelines

What are Observability Pipelines?

What problems do Observability Pipelines solve?

Intelligent router or “data conveyor”

Key functions of Observability Pipelines:

What are the benefits of Observability Pipelines?

A strategic approach to telemetry management