Mezmo Observability Pipeline gives teams control over their observability data

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Mezmo unveiled its Observability Pipeline, which empowers teams to monitor, enrich and correlate machine data for actionable insights and faster decisions.

The massive volume, variety, and hard-to-consume nature of machine data generated in modern environments creates immense challenges for DevOps, SRE, and security teams, who struggle to control escalating costs and use their data to drive any significant action.

Failure to make full use of this data increases security risks, negatively impacts customer experience, and drains resources. Mezmo’s Observability Pipeline helps organizations better control their observability data and drive increasing business value. It centralizes the flow of data from various sources, adds context to make the data more valuable, and then routes it to destinations to drive actionability.

“Data provides a competitive advantage, but organizations struggle to extract real value from it. First-generation observability data pipelines focus primarily on data movement and control, reducing the amount of data collected, but failing to deliver value. Data preprocessing is a great first step,” said Tucker Callaway, CEO of Mezmo.

“We’ve built on this foundation and our success in making log data actionable to create an intelligent observability data pipeline that enriches and correlates large volumes of data in motion to provide additional context and drive action. “Callaway continued.

Mezmo’s observability pipeline provides access and control to ensure the right data is flowing through the right systems in the right format for analysis, minimizing costs and enabling new workflows. This smart pipeline integrates Mezmo’s log analytics features, including search, alerting, and visualization capabilities, to augment and analyze data in motion, delivering smart, actionable insights to mitigate risk and take action. decisions faster.

The flexible, easy-to-use solution enriches workflows, streamlines adoption of best practices, and enables new use cases for observability data. Customers can route data from any source, such as cloud platforms, Fluentd, Logstash, Syslog, and others, to many destinations for various use cases, including Splunk, S3, and the Android platform. analysis of Mezmo logs.

Support for OpenTelemetry further simplifies data ingestion and makes data more actionable by enriching OpenTelemetry attributes. Mezmo also helps transform sensitive data to meet regulatory and compliance requirements, such as PII. Control functions simplify the management of multiple sources and destinations while protecting against uncontrollable data flows.

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