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Datadog Launches Observability Pipelines

Datadog announced the launch of Datadog Observability Pipelines—a new product that enables organizations to take greater control of their data so they can reliably scale their observability practices.

Datadog Observability Pipelines is powered by Vector, an open source and high-performance framework for building telemetry pipelines.

Datadog Observability Pipelines provides customers with a unified view to control and monitor the flow of all their infrastructure and application metrics, logs and traces. Users can now seamlessly collect, enrich, transform, sanitize and route observability data from any source to any destination—before data leaves their environment. This unified view gives enterprises enhanced visibility into how much they are spending and where, what tools they are leveraging and who has access to what data. This enables them to more precisely manage costs, reduce technology lock-in, improve compliance and standardization of data quality and ultimately scale their observability practices.

“As the amount of telemetry continues to grow at an organization, teams are often completely overwhelmed—if they’re not blind to—the runaway costs, reliability and compliance risks that come from a lack of visibility into infrastructure and application data,” said Zach Sherman, Senior Product Manager at Datadog. “We built Datadog Observability Pipelines to give organizations a powerful way to take back control of their data, without compromising visibility for engineering, security and SRE teams.”

Datadog Observability Pipelines helps IT and security teams in their goals to affordably manage and scale observability with complete flexibility and control over how their logs, metrics and traces are collected, transformed and routed. This helps organizations:

- Control Costs: Aggregate, filter and route all observability data based on use case without compromising visibility

- Simplify Migrations and Reduce Lock-In: Orchestrate and monitor data processing from any source to any destination in one unified view

- Protect Sensitive Data: Filter, redact and monitor sensitive data before it leaves your network in order to better meet compliance requirements

- Enforce Data Quality: Standardize the format of logs, metrics and traces to improve observability across teams

- Scale with Confidence: Scale seamlessly with a product powered by Vector, a vendor-agnostic, open source project and engaged community with millions of monthly downloads that is deployed in production by enterprises processing petabytes of data every month

- Easily Collect and Route Data: Observability Pipelines comes with more than 80 out-of-the-box integrations so organizations can quickly and easily collect and route data to any of the tools their teams already use, without disrupting existing workflows

Datadog Observability Pipelines is generally available now.

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Datadog Launches Observability Pipelines

Datadog announced the launch of Datadog Observability Pipelines—a new product that enables organizations to take greater control of their data so they can reliably scale their observability practices.

Datadog Observability Pipelines is powered by Vector, an open source and high-performance framework for building telemetry pipelines.

Datadog Observability Pipelines provides customers with a unified view to control and monitor the flow of all their infrastructure and application metrics, logs and traces. Users can now seamlessly collect, enrich, transform, sanitize and route observability data from any source to any destination—before data leaves their environment. This unified view gives enterprises enhanced visibility into how much they are spending and where, what tools they are leveraging and who has access to what data. This enables them to more precisely manage costs, reduce technology lock-in, improve compliance and standardization of data quality and ultimately scale their observability practices.

“As the amount of telemetry continues to grow at an organization, teams are often completely overwhelmed—if they’re not blind to—the runaway costs, reliability and compliance risks that come from a lack of visibility into infrastructure and application data,” said Zach Sherman, Senior Product Manager at Datadog. “We built Datadog Observability Pipelines to give organizations a powerful way to take back control of their data, without compromising visibility for engineering, security and SRE teams.”

Datadog Observability Pipelines helps IT and security teams in their goals to affordably manage and scale observability with complete flexibility and control over how their logs, metrics and traces are collected, transformed and routed. This helps organizations:

- Control Costs: Aggregate, filter and route all observability data based on use case without compromising visibility

- Simplify Migrations and Reduce Lock-In: Orchestrate and monitor data processing from any source to any destination in one unified view

- Protect Sensitive Data: Filter, redact and monitor sensitive data before it leaves your network in order to better meet compliance requirements

- Enforce Data Quality: Standardize the format of logs, metrics and traces to improve observability across teams

- Scale with Confidence: Scale seamlessly with a product powered by Vector, a vendor-agnostic, open source project and engaged community with millions of monthly downloads that is deployed in production by enterprises processing petabytes of data every month

- Easily Collect and Route Data: Observability Pipelines comes with more than 80 out-of-the-box integrations so organizations can quickly and easily collect and route data to any of the tools their teams already use, without disrupting existing workflows

Datadog Observability Pipelines is generally available now.

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Image
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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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