Sumo Logic enhances observability suite for app, infrastructure performance

As enterprises grapple with rapidly evolving IT infrastructure, fueled and made even more complex by cloud migration that accelerated during the pandemic, Sumo Logic is offering a new set of infrastructure observability tools and telemetry data analytics designed to ensure maximum business uptime and smooth software application performance.

The new DevSecOps-oriented tools, announced this week at the company’s Illuminate virtual conference, are part of Sumo Logic’s Continuous Intelligence platform, and designed to provide real-time, deeper insights into critical enterprise applications and infrastructure.

Observability is a relatively new term in IT, used to describe the task of monitoring enterprise applications, data flow and distributed infrastructure. Systems that offer observability go beyond prior application performance monitoring (APM) programs, offering a high-level overview of IT infrastructure as well as granular metrics, to allow for efficient application, network, data, and security management.

According to a recent report released by APM company New Relic, more than 94% of 1,300 respondents across companies in 16 countries said that observability, sometimes known as  O11y, is mission critical for the success of their role. In addition, more than 80% of C-suite executives who participated in the survey said they expect to increase their observability budget.

New Relic also reports that more than 91% of IT decision-makers who participated in the poll view observability as critical at every stage of the software lifecycle, with especially high importance for planning and operations.  

Advanced analytics bolster business uptime

As part of its new set of offerings, Sumo Logic has released a new tool called Advanced Analytics for Comprehensive Alert Response, designed to automate the issue-resolution and troubleshooting process. In contrast to the earlier practice of manually identifying issues and then resolving them, the new tool uses machine learning to analyze data from all incoming data points to ensure that so-called observers (IT staff tasked with observability) know exactly where an application or network problem lies.

Copyright © 2021 IDG Communications, Inc.

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