Mezmo unveiled its Observability Pipeline, which enables teams to control, enrich, and correlate machine data for actionable insights and faster decisions.
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.”
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 best-in-class 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.
The Latest
Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers cloud, the edge and IT outages ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers user experience, Digital Experience Management (DEM) and the hybrid workforce ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...
In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...
Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...
We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...