Mezmo has unveiled its Observability Pipeline, which enables teams to control, enrich, and correlate machine data for actionable insights and faster decisions.
The massive volume, variety, and difficult-to-consume nature of machine data generated in modern environments create immense challenges for DevOps, SRE, and security teams, who struggle to control escalating costs and use their data to drive any meaningful action.
The inability to use this data to its fullest increases security risks, negatively impacts customer experience, and drains resources. Mezmo’s Observability Pipeline helps organizations better control their observability data and deliver increasing business value. It centralizes the flow of data from various sources, adds context to make data more valuable, and then routes it to destinations to drive actionability.
“Data provides a competitive advantage, but organizations struggle to extract real value. First-generation observability data pipelines focus primarily on data movement and control, reducing the amount of data collected, but fall short on delivering value. Preprocessing data is a great first step,” said Tucker Callaway, CEO, Mezmo.
“We’ve built on that foundation and our success in making log data actionable to create a smart observability data pipeline that enriches and correlates high volumes of data in motion to provide additional context and drive action.”, Callaway continued.
Mezmo’s Observability Pipeline provides access and control to ensure that the right data is flowing into the right systems in the right format for analysis, minimizing costs and enabling new workflows. This smart pipeline integrates Mezmo’s log analysis features, including search, alerting, and visualization capabilities, to augment and analyze data in motion, delivering intelligent, actionable insights to mitigate risk and make decisions faster.
The flexible, easy-to-use solution enriches workflows, streamlines the adoption of best practices, and enables new observability data use cases. 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 Mezmo’s Log Analysis platform.
Support for OpenTelemetry further helps simplify the ingestion of data and makes data more actionable with enrichment of the OpenTelemetry attributes. Mezmo also helps transform sensitive data to meet regulatory and compliance requirements, such as PII. Control features simplify the management of multiple sources and destinations while protecting against runaway data flow.