Sumo Logic marks a new milestone in innovation for Sumo Logic Observability with Sumo Logic OpenTelemetry Distro Collector (OT Distro).
The OT Distro Collector is designed to simplify and democratize the collection of logs, metrics, traces, and metadata from modern cloud applications. With this announcement, Sumo Logic further embraces open source and establishes OpenTelemetry as its future standard to collect all machine data, breaking from the legacy model of using proprietary agents to gather critical application and infrastructure telemetry.
Most organizations have multiple tools for data collection and no single framework or standard way of capturing critical signals for observability, leading to increased costs and overhead. By adopting OpenTelemetry, site reliability engineering (SRE) teams can define and own their global collection strategy, without fear of vendor lock-in. The unified collection of logs, metrics and traces available in the OT Distro Collector eliminates the need to manage multiple agents, further removing complexity from data collection.
“Full-stack observability is absolutely necessary to manage modern applications. At its core, observability is a data analytics problem. As the industry standardizes on OpenTelemetry for data collection, it will put the focus back where it should be - on a great SRE experience with great data analytics,” said Erez Barak, VP of Product Development for Observability, Sumo Logic. “This release of Sumo Logic OT Distro Collector is the first step towards what will ultimately become the sole collector on our unified continuous intelligence platform. With it, our customers can ingest telemetry from all domains - logs, metrics, traces, and metadata - and deliver reliable and secure digital experiences at scale.”
The initial release of Sumo Logic OT Distro Collector is available today and supports:
- Architectures, including x86/x64 and ARM
- Operating systems, including Mac OS, Linux
- Orchestration platforms, including Kubernetes
In addition to the standard OpenTelemetry capabilities listed, the OT Distro Collector also includes support for automatic collector registration, heartbeat reporting (in advance of full OpAmp support), as well as a built-in Telegraf support, allowing customers to leverage the Telegraf catalog of input plugins. These unique additions simplify the migration to an OpenTelemetry based approach while using a vendor-supported agent.
The Latest
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
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 ...