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Sumo Logic Consolidates Collection Agents with OpenTelemetry

Sumo Logic has taken steps to remove complexity from data collection, improved normalization of data, and consolidated collection agents with OpenTelemetry.

Sumo Logic was purpose-built to manage and analyze data from any source. Today, Sumo Logic extends that legacy by adopting OpenTelemetry as its de facto collection strategy to remove complexity in the collection and normalization of data. With Sumo Logic Distro for OT, a native OTel solution, customers no longer face vendor lock-in and can apply Sumo Logic flexibility and analytics to their vendor of choice.

"Sumo Logic has made a commitment to its customers and the community to develop and deliver on OTel-native collection so that customers can realize value, quickly,” said Erez Barak, VP of Product Development for Observability, Sumo Logic. “The enhancements announced today will make it possible for Sumo Logic to deliver choice and flexibility while continuing to provide comprehensive infrastructure and application monitoring. The best OTel-native experiences run on Sumo Logic."

With nearly 30 apps related to database, server, or infrastructure monitoring powered by OTel, Sumo Logic Distro for OT provides a single collector for telemetry. Now, with support for Windows, customers using Sumo Logic Distro for OT can gather logs, metrics, and traces from Windows, Linux and MacOS operating systems, which can be configured utilizing the new onboarding workflows.

Sumo Logic’s unified agent makes it easier to consolidate into one platform for observability use cases instead of disparate monitoring tools for logs or APM. Through a single app installation workflow for logs, metrics and traces, Sumo Logic makes it easier for developers to harness data and takes the complexity out of deploying OpenTelemetry as a collection strategy.

Sumo Logic also reduces the number of manual steps in the data onboarding process. Each step - Collector Setup, Source Configuration, Dashboard Setup - is now folded into a single workflow allowing users to onboard data in under 5 minutes. By standardizing on OTel-native collection, developers get a simplified installation to onboard data and set up data collection on Sumo Logic.

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Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

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Sumo Logic Consolidates Collection Agents with OpenTelemetry

Sumo Logic has taken steps to remove complexity from data collection, improved normalization of data, and consolidated collection agents with OpenTelemetry.

Sumo Logic was purpose-built to manage and analyze data from any source. Today, Sumo Logic extends that legacy by adopting OpenTelemetry as its de facto collection strategy to remove complexity in the collection and normalization of data. With Sumo Logic Distro for OT, a native OTel solution, customers no longer face vendor lock-in and can apply Sumo Logic flexibility and analytics to their vendor of choice.

"Sumo Logic has made a commitment to its customers and the community to develop and deliver on OTel-native collection so that customers can realize value, quickly,” said Erez Barak, VP of Product Development for Observability, Sumo Logic. “The enhancements announced today will make it possible for Sumo Logic to deliver choice and flexibility while continuing to provide comprehensive infrastructure and application monitoring. The best OTel-native experiences run on Sumo Logic."

With nearly 30 apps related to database, server, or infrastructure monitoring powered by OTel, Sumo Logic Distro for OT provides a single collector for telemetry. Now, with support for Windows, customers using Sumo Logic Distro for OT can gather logs, metrics, and traces from Windows, Linux and MacOS operating systems, which can be configured utilizing the new onboarding workflows.

Sumo Logic’s unified agent makes it easier to consolidate into one platform for observability use cases instead of disparate monitoring tools for logs or APM. Through a single app installation workflow for logs, metrics and traces, Sumo Logic makes it easier for developers to harness data and takes the complexity out of deploying OpenTelemetry as a collection strategy.

Sumo Logic also reduces the number of manual steps in the data onboarding process. Each step - Collector Setup, Source Configuration, Dashboard Setup - is now folded into a single workflow allowing users to onboard data in under 5 minutes. By standardizing on OTel-native collection, developers get a simplified installation to onboard data and set up data collection on Sumo Logic.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...