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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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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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...