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Mezmo Announces Free Access to Telemetry Pipeline

Mezmo announced a free trial and a free community plan for Mezmo Telemetry Pipeline.

Mezmo’s Telemetry Pipeline is making it easier for teams to collect, transform, and route telemetry data to control costs and get the most value from their telemetry data. Companies can now unlock the power of their data and achieve the cost savings and control benefits of a telemetry pipeline — without the upfront investment.

“Developers, site reliability engineers, security analysts, and more need access to telemetry data but struggle with too much data, unusable formats, and difficulty in getting data to the right platforms,” said Tucker Callaway, CEO, Mezmo. “We want to lower the barrier for entry and show companies how Mezmo’s Telemetry Pipeline can help them control costs and transform their data to drive action.”

Since the initial launch, Mezmo has added many capabilities to its telemetry pipeline, providing better control and user experience.

- User experience and productivity: Mezmo offers a drag-and-drop builder to design and deploy pipelines in minutes. Users can simulate and test the pipeline before deploying and get visibility into the live data within the pipeline at any time. Out-of-the-box dashboards help with pipeline health monitoring, diagnostics, and alerting.

- Integrations: Mezmo is continuously expanding its integration ecosystem to provide users with more control over their telemetry data. The platform supports integrations to more than a dozen sources and destinations, including Grafana, Datadog, Prometheus, Splunk, and Elastic, and major cloud infrastructures, such as AWS, GCP, and Azure. Mezmo’s Telemetry Pipeline supports data ingestion in OpenTelemetry format as well.

- Enhanced data value: Data transformation within the telemetry pipeline adds value to the data and provides critical context for data processing. Mezmo pipeline comes with a wide variety of processors, including the ability to use grok, regex, and JavaScript snippets to parse and transform data. In addition, users can easily extract metrics embedded in the logs, summarize events and metrics, and send it to downstream systems for immediate insights.

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Mezmo Announces Free Access to Telemetry Pipeline

Mezmo announced a free trial and a free community plan for Mezmo Telemetry Pipeline.

Mezmo’s Telemetry Pipeline is making it easier for teams to collect, transform, and route telemetry data to control costs and get the most value from their telemetry data. Companies can now unlock the power of their data and achieve the cost savings and control benefits of a telemetry pipeline — without the upfront investment.

“Developers, site reliability engineers, security analysts, and more need access to telemetry data but struggle with too much data, unusable formats, and difficulty in getting data to the right platforms,” said Tucker Callaway, CEO, Mezmo. “We want to lower the barrier for entry and show companies how Mezmo’s Telemetry Pipeline can help them control costs and transform their data to drive action.”

Since the initial launch, Mezmo has added many capabilities to its telemetry pipeline, providing better control and user experience.

- User experience and productivity: Mezmo offers a drag-and-drop builder to design and deploy pipelines in minutes. Users can simulate and test the pipeline before deploying and get visibility into the live data within the pipeline at any time. Out-of-the-box dashboards help with pipeline health monitoring, diagnostics, and alerting.

- Integrations: Mezmo is continuously expanding its integration ecosystem to provide users with more control over their telemetry data. The platform supports integrations to more than a dozen sources and destinations, including Grafana, Datadog, Prometheus, Splunk, and Elastic, and major cloud infrastructures, such as AWS, GCP, and Azure. Mezmo’s Telemetry Pipeline supports data ingestion in OpenTelemetry format as well.

- Enhanced data value: Data transformation within the telemetry pipeline adds value to the data and provides critical context for data processing. Mezmo pipeline comes with a wide variety of processors, including the ability to use grok, regex, and JavaScript snippets to parse and transform data. In addition, users can easily extract metrics embedded in the logs, summarize events and metrics, and send it to downstream systems for immediate insights.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

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 ...