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Webinar Recap: What Is An Observability Pipeline?

Observability data is mission-critical for businesses that want to provide stellar customer experiences, remain secure and compliant, and mitigate risk. However, organizations are creating more data as they expand their digital presence. Its increasing volume and complexity have teams looking for solutions that enable them to better control that data, derive more value by making it actionable, and all while keeping their costs under control.

How Observability Pipelines Save Your Budget

Our recent blog post about observability pipelines highlighted how they centralize and enable data actionability. A key benefit of observability pipelines is users don't have to compare data sets manually or rely on batch processing to derive insights, which can be done directly while the data is in motion. As a result, teams get access to the data they need to make decisions faster.

Choosing an Observability Pipeline

An observability pipeline is a tool or process that centralizes data ingestion, transformation, correlation, and routing across a business. Production engineers across ITOps, Development, and Security teams use them to more efficiently and cost-effectively transform their telemetry data to drive critical decisions. Businesses of all sizes can enjoy several benefits and gain a significant competitive advantage by implementing an observability pipeline.

Enhance the Value of Your Data With Mezmo's Observability Pipeline

Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.

Where Are You In Your Observability Journey?

Observability is the ability to see and understand the internal state of a system from its external outputs. Logs, Metrics, and Traces, collectively called observability data, are three external outputs widely considered to be three pillars of observability. Now more than ever, organizations of all sizes must employ the necessary processes and technologies to harness the power of their data and make it more actionable.

Observability Pipelines: Helping Your Data Do More

With an exploding volume of data and systems comes the need for observability, or the ability to understand the internal states of a system from knowledge of its external outputs. As a result, observability data's importance is at an all-time high. Businesses spanning every industry use it in various ways to respond to issues, increase agility, mitigate risk, and ultimately provide better experiences for their users. It’s an incredibly valuable commodity.