Katy Farmer

Katy lives in Oakland, CA with her husband and two dogs (at least one of whom talks to her about fun, technical stuff). She loves to experiment with code, break stuff, and try to fix it. She learned to code at Turing School of Software and Design in Denver, CO, and it gave her the perfect chance to break stuff before she knew how to fix it. Ask her about Ruby, OOP, Go, natural language processing, Russian Literature, Star Wars, Dragon Age, chord progressions. For extra credit, bring some Sour Patch Kids!

Katy Farmer

Katy Farmer

Katy lives in Oakland, CA with her husband and two dogs (at least one of whom talks to her about fun, technical stuff). She loves to experiment with code, break stuff, and try to fix it. She learned to code at Turing School of Software and Design in Denver, CO, and it gave her the perfect chance to break stuff before she knew how to fix it. Ask her about Ruby, OOP, Go, natural language processing, Russian Literature, Star Wars, Dragon Age, chord progressions. For extra credit, bring some Sour Patch Kids!

Eventual Consistency: The Hinted Handoff Queue

In this blog series, we’re going to explore eventual consistency, a term that can be hard to define without having all the right vocabulary. This is the consistency model used by many distributed systems, including InfluxDB Enterprise edition. There are …

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Understanding InfluxDB Enterprise: What is a Cluster?

If you’re getting started with InfluxDB Enterprise, you might have some questions. That’s always good news to us; questions mean you want to know more. Today’s question is: what is a cluster? In general, you probably know what a cluster …

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InfluxData at DevOps Days

At InfluxData, we love being a part of DevOps processes, so we make sure we attend and sponsor the events where the DevOps community flourishes. Over the past two weeks, we attended DevOpsDays Vancouver and DevOpsDays Seattle to do a …

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Getting Started with the InfluxDB Ruby Client

Let’s talk about the InfluxDB Ruby client. I love it for a lot of reasons, and mostly because it encapsulates what I love about Ruby: it abstracts away the pieces I don’t need to know and makes it easy to …

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Kapacitor and Continuous Queries: How To Decide Which Tool You Need

Here at InfluxData, we have a pretty great community. You all ask smart questions and contribute to the constant improvement of our platform. You’re the butter on our bread and the glaze on our donut. Okay, now I’m hungry.   …

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Optimizing Data Queries for Time Series Applications

Now that we understand what time series data is and why we want to store it in a Time Series Database, we’ve reached a new challenge. Like any application, we want to ensure our database queries are smart and performant, …

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Why Should I Use a Time Series Database?

Time series data is special—not just in the unique data that it captures, but also in the ways we interact with that data. Maybe you’re starting to use time series data from sensors in your company’s thermostats (to finally prove that …

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What Is Time Series Data and Why Should You Care?

Like many people, I have lived most of my life without ever hearing the phrase “time series.” It wasn’t until I was interviewing at a company that builds a Time Series Platform that I realized I need to Google it. I wish …

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MySQL Metrics Part I: Throughput

In a perfect world, this blog post is about MySQL metrics and monitoring throughput in MySQL. In reality, this post is about understanding data visualizations, querying appropriately, and failing constantly—as a byproduct, I’m also monitoring throughput in MySQL. Let’s get …

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How Ruby Brought Me to InfluxData

All new InfluxData team members write a “Why I Came to InfluxData” blog post. I was supposed to write it a month ago when I started, but there’s so much to learn here about the products and the amazing community …

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