InfluxData introduces “Metrics First” approach to log analysis enhancing observability; enabling quicker problem resolution



InfluxData released on Thursday new capabilities targeted at speeding the visualization and analysis of structured application and system events captured via log files. Now by correlating business, server and application metrics with structured logs, InfluxData provides faster and more precise problem investigation and root-cause analysis capabilities.

This release expands the functionality of the InfluxData platform with support for high-speed parsing and ingestion using the syslog protocol, custom log parsing, and pre-built log visualization components. InfluxData believes in a “metrics first” approach that provides developers and operators with the means to ingest, correlate, and visualize time series data, including data from infrastructure metrics such as applications, databases, systems and containers, business metrics and now log events.

With InfluxData, users can uniquely capture metadata at the collection point, allowing the developer to map elements across systems and supplement additional information when and where required, providing consistency and richness to the logs being transmitted via the syslog protocol.

It provides an improved workflow for log visualization within the same environment where they have constructed metrics dashboards, which allows a developer to easily analyze the captured log events for a specific time interval and narrow data down by the important metadata elements, such as host, application, subsystem, and more. Starting the problem investigation at the specific time interval and with a specific set of metadata highlighted by captured metrics reduces process noise and allows developers to identify the root cause faster.

InfluxData’s InfluxDB Database allows users to build monitoring, alerting and notification applications supporting their DevOps initiatives; IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control; and real-time analytics applications that are focused on streaming data and anomaly detection.

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors.

More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

“Providing powerful visualizations and integrations allowing the correlation of business, system and infrastructure metrics with log data has been something our hundreds of thousands of community members have been asking for,” said Paul Dix, InfluxData Founder and CTO. “We are excited to release these capabilities in the platform and see this solution as a more natural and complete way to approach log data, ensuring faster time to awesome for developers building next-generation monitoring and real-time analytics applications.”

 

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