Catch the Wave with GCP – A Wavefront Integration Exploration



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    Perhaps you’ve heard some buzz about Wavefront but don’t quite know what it is or how it can be used. I was in the same boat for a while, but then I saw a demo that blew my mind. Imagine a platform that could ingest time series data (or metrics) from various sources, retain all data points with no roll up, and allowed IT operations and developers to quickly analyze the data for spotting and visualizing trends affecting application performance. How could we use that data to make the business better, and what kind of data actually gets collected? Moreover, how and why are people using this tool? I hope this post will provide some answers.

    Wavefront Integration with Google Cloud Platform
    The Wavefront website shows a number of integrations, but what does that really mean? Wavefront has pre-built methods for metric collection from certain applications and will guide you through the setup process. There are other ways to get data into Wavefront, but integrations make the process easier.

    I happen to have a Google Compute Engine instance running a single Linux virtual machine, so it made sense to play with the Google Cloud Platform integration. This blog post gives some detail on the GCP integration, but once I read it, I wanted to see it for myself. Sign up for a free 30-day trial of Wavefront and a free year of GCP to follow along.

    The rest of the story can be found here - http://blog.thenetworknerd.com/2018/04/14/catch-the-wave-with-gcp-a-wavefront-integration-exploration/.



  • If you don't have an environment big enough to produce metrics exceeding millions of points per second, what are the benefits of using Wavefront over another solution such as Splunk, Zabbix, PRTG, etc.?