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.  To achieve these outcomes, data must be able to travel as it is generated, molded into different forms, used, and shared across other systems. Businesses with actionable data hold a distinct competitive advantage over those who don’t because they can make decisions faster and have more options at their disposal for how to use the data once they have it. 

Unfortunately, conventional observability tools alone don't guarantee that data can be ingested, processed, analyzed, or consumed efficiently for everyone in the organization. In many cases, they do the opposite of what they intended by effectively locking those insights into “data jail.” Traditional observability tools also struggle to keep costs affordable as the volume of data increases. So as data volume keeps increasing, how can value keep pace without costs getting out of control?

Meet the observability pipeline. 

An observability pipeline centralizes observability data (logs, metrics, and traces) from multiple sources, enriches it, and sends it to various destinations. Thus, they enable actionability while data is in motion so that users don't have to compare data sets manually or rely on batch processing to derive insights. Observability pipelines are a centralized means of interacting with data from across the business and ensuring that it is made available to consumers in whichever format they need to work with the information efficiently to drive crucial decisions. As a result, teams across the business can get the most value from their available data so they can make decisions faster.

Observability pipelines play a central role in helping businesses to put data to use, no matter how much they have to work with, what the use case for that data is, or how diverse the information is in terms of type and format.

Mezmo has put together a whitepaper to outline the key components and benefits of observability pipelines for you. This includes concepts such as flexible data ingestion, improved data efficiency, scalability, and more. 

While the value of observability pipelines is already well-known today, it's poised only to grow over the coming years as businesses generate more data and leverage it as a competitive advantage to accelerate decision-making.

By choosing an observability pipeline solution that provides the advantages outlined in our whitepaper, your business will benefit from a highly efficient and cost-effective approach to handling increasing volumes of data while retaining the flexibility to evolve with changing data analytics needs.

Get your hands on our newest whitepaper to learn about how observability pipelines work, and the value they can bring to your data management efforts.

‍