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To improve data control so that companies can reliably scale their observability processes, Datadog is launching a new product: Observability Pipelines is based on Vector, an open source framework for building telemetry pipelines.

Observability Pipelines provides a central overview for monitoring infrastructure and application metrics, logs and traces.

Today, companies manage many applications, powered by numerous services, generating a wealth of metrics, logs and traces. These enormous amounts of data and the resulting complexity at the application and enterprise level can lead to problems with reliability and technological flexibility, as well as security risks and high costs.

Observability Pipelines addresses these challenges with a centralized view of infrastructure and application metrics, logs and traces monitoring. Users can seamlessly capture, enhance, transform, cleanse and forward Hungary Phone Number List observability data from source to destination - before the data leaves their environment. According to Datadog, Observability Pipelines gives companies a holistic view of how much money is being spent and where, which tools are being used and who has access to which data. This makes it possible to manage costs more effectively, reduce technological dependencies, improve compliance and standardize data quality, and scale observability processes. Companies can therefore:

Control costs: Observability data could be collected, filtered and forwarded depending on the intended use without losing visibility.
Simplify migration processes and reduce technological dependencies: Data processing can be monitored and controlled via a central overview, from every source to every destination.
Protect sensitive data: To meet compliance requirements, confidential data can be filtered, processed and monitored before it leaves the source network.
Improve data quality: By standardizing logs, metrics and traces, observability is improved across all teams.
Reliable scaling: Products supported by the vendor-independent open source project Vector can be scaled seamlessly. Vector is used by production companies that process petabytes of data every month. Vector is backed by a dedicated community with a large number of monthly downloads.
Collect and forward data: Observability Pipelines would provide more than 80 out-of-the-box integrations, allowing companies to quickly and easily collect and forward data to the tools teams already use – without disrupting existing workflows.
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