Logs are an essential part of observing any service; without them you'll have significant blind spots. But collecting and analyzing them can be a real challenge -- especially at scale. Not only do you need to solve the basic task of collecting your logs, but you must do it in a reliable, performant, and robust manner. Nothing is more frustrating than having your logs pipeline fall on it's face during an outage, or even worse, cause the outage!
Fear not! In this guide we'll build an observability pipeline that will send logs from Splunk to GCP Cloud Storage.
What is GCP Cloud Storage?
Google Cloud Storage is a RESTful online file storage web service for storing and accessing data on Google Cloud Platform infrastructure. The service combines the performance and scalability of Google's cloud with advanced security and sharing capabilities. This makes it a prime candidate for log data.
How This Guide Works
We'll be using [Vector][urls.vector_website] to accomplish this task. Vector is a popular open-source observability data pipeline. It's written in Rust, making it lightweight, ultra-fast and highly reliable. And we'll be deploying Vector as a agent.
What We'll Accomplish
We'll build an observability data pipeline that:
All in just a few minutes!
Install Vectorcurl --proto '=https' --tlsv1.2 -sSf https://sh.vector.dev | sh
Start Vectorvector --config ./vector.toml
Observe Vectorvector topexplain this command
Vector is powerful tool and we're just scratching the surface in this guide. Here are a few pages we recommend that demonstrate the power and flexibility of Vector: