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Mezmo Adds Stateful Processing in Telemetry Pipelines

Mezmo announced new capabilities that help companies understand, optimize, and respond more quickly to their telemetry data.

Mezmo’s Telemetry Pipeline can now trigger stateful alerts in stream. It detects data variations and compares data in motion to metrics thresholds to send alerts based on predefined parameters so users can take swift action to remediate issues and prevent costly overages.

Now you can process terabytes — even petabytes — of data originating from multiple sources and address unexpected events or issues such as misconfigurations that can cause data spikes and excessive overages. Automated in-stream alerts (stateful) allow the data to be actionable and minimize the cost of indexing in expensive observability tools. This workflow provides cost-effective control of telemetry data while offering new and immediate business insights by moving data logic into the pipeline. With Mezmo Telemetry Pipeline, teams can now access various insights and alerts without completely depending on metrics inside observability platforms and act on data aberrations quickly.

“Mezmo delivers advanced capabilities that help SRE, ITOps, and security teams more effectively manage their data and more quickly discover when there is a problem so they can remediate it fast, without wasting time or money,” said Tucker Callaway, CEO, Mezmo. “While other telemetry pipelines focus on data movement and control, Mezmo takes a data engineering approach to make telemetry pipelines more intelligent. New alerting capabilities are another innovative step in shifting logic into the pipeline and making data more actionable.”

Here are some examples of in-stream alerts:

- Threshold Alerts: Mezmo Telemetry Pipeline will analyze data and alert on any metric derived from unstructured logs or rollup of a metric based on user-defined thresholds. For example, Mezmo will alert when data volume reaches a specific threshold or when an application has exceeded a predefined number of errors.

- Change Alerts: Mezmo Telemetry Pipeline will compare the absolute or relative percentage change in value between the current and prior intervals for a metric and alert when a metric change is above or below the user-defined threshold. This will help customers detect sudden surges in data volume and enable them to throttle the data from certain sources to automatically prevent overages.

- Absence Alerts: Mezmo Telemetry Pipeline can also be configured to alert when something expected doesn’t happen, for instance, when an expected report is not created.

As part of the recent update, Mezmo now ingests data from more sources, making the platform a more comprehensive solution for telemetry data management. Newly added sources include HTTP endpoints, syslog endpoints, and full support of OpenTelemetry Protocol.

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Mezmo Adds Stateful Processing in Telemetry Pipelines

Mezmo announced new capabilities that help companies understand, optimize, and respond more quickly to their telemetry data.

Mezmo’s Telemetry Pipeline can now trigger stateful alerts in stream. It detects data variations and compares data in motion to metrics thresholds to send alerts based on predefined parameters so users can take swift action to remediate issues and prevent costly overages.

Now you can process terabytes — even petabytes — of data originating from multiple sources and address unexpected events or issues such as misconfigurations that can cause data spikes and excessive overages. Automated in-stream alerts (stateful) allow the data to be actionable and minimize the cost of indexing in expensive observability tools. This workflow provides cost-effective control of telemetry data while offering new and immediate business insights by moving data logic into the pipeline. With Mezmo Telemetry Pipeline, teams can now access various insights and alerts without completely depending on metrics inside observability platforms and act on data aberrations quickly.

“Mezmo delivers advanced capabilities that help SRE, ITOps, and security teams more effectively manage their data and more quickly discover when there is a problem so they can remediate it fast, without wasting time or money,” said Tucker Callaway, CEO, Mezmo. “While other telemetry pipelines focus on data movement and control, Mezmo takes a data engineering approach to make telemetry pipelines more intelligent. New alerting capabilities are another innovative step in shifting logic into the pipeline and making data more actionable.”

Here are some examples of in-stream alerts:

- Threshold Alerts: Mezmo Telemetry Pipeline will analyze data and alert on any metric derived from unstructured logs or rollup of a metric based on user-defined thresholds. For example, Mezmo will alert when data volume reaches a specific threshold or when an application has exceeded a predefined number of errors.

- Change Alerts: Mezmo Telemetry Pipeline will compare the absolute or relative percentage change in value between the current and prior intervals for a metric and alert when a metric change is above or below the user-defined threshold. This will help customers detect sudden surges in data volume and enable them to throttle the data from certain sources to automatically prevent overages.

- Absence Alerts: Mezmo Telemetry Pipeline can also be configured to alert when something expected doesn’t happen, for instance, when an expected report is not created.

As part of the recent update, Mezmo now ingests data from more sources, making the platform a more comprehensive solution for telemetry data management. Newly added sources include HTTP endpoints, syslog endpoints, and full support of OpenTelemetry Protocol.

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One of the most misunderstood culprits of poor application performance is packet loss. Even minimal packet loss can cripple the throughput of a high-speed connection, making enterprise applications sluggish and frustrating for remote employee ... So, what's going wrong? And why does adding more bandwidth fail to fix the issue? ...

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Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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