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Observability is the practice of measuring the state of a system based on external output using metrics, logs, and traces. It is the evolution of monitoring, as it helps you learn about your IT environment’s critical aspects and discover potential problems before they arise.
Observability transforms the speed, cost, and efficiency of your machines. While Observability benefits most enterprises, the amount of observability employed should be determined by your business needs.
Your enterprise’s business goals include strong security, high-service stability, monitoring tools, and increased customer experience. To understand how you’re meeting those goals, you must collect and analyze data correlated with your desired outcomes.
You can start by collecting and analyzing the three main components of Observability – metrics, logs, and traces. For example, organizations collect data from different data sources and analyze it with the proper observability tools and in the right format to have a comprehensive view of how your environment is performing.
With an observability pipeline, you can take data from any source and route it to any tool. Put data where it has the most value. Route data to the best tool for the job — or all the tools for the job.
An observability pipeline can help you reduce less-valuable data before you pay to analyze or store it. This process can help you dramatically slash costs, eliminate null fields, remove duplicate data, and drop fields you’ll never analyze. Using an observability pipeline means you keep all the data you need and only pay to analyze and store what’s important to you now.
Take the data you have and format it for any destination, without having to add new agents. By transforming the data you already have, and sending it to the tools your teams use, this increases flexibility without incurring the cost and effort of recollecting and storing the same data multiple times in different formats.
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