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9 posts tagged with "real-time"

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· 3 min read
Jake Mulford

Integrating Deephaven and Prometheus Part 1: Metrics ingestion

If you've ever used Prometheus, you know it's pretty great. It's free, open-source software that uses metric-based monitoring and allows users to set up real-time alerts. Prometheus generates tons of system data, and this data can be pulled from Prometheus through various methods.

Using Prometheus's REST API, it's easy to look at historical data and see trends. Simply choose a time range and at what time intervals to pull the data, then analyze the data and generate metrics, such as maximum values and averages over that period.

But what if you wanted to ingest real-time data from Prometheus, and analyze and make decisions based on this data in real-time? That's where Deephaven comes in!

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· 7 min read
Rachel Brubaker and Amanda Martin

Cross the finish line with a PR by exercising your data

It's the time of year for comfort food and Turkey Trots! Maybe you're training for a race or simply maintaining an exercise routine. Personally, I consistently use my fitness watch to ensure I'm meeting my step goals and to track my progress as I try to shave a few seconds off my mile time. The free Strava app beloved by runners and cyclists is another great resource to motivate you in your fitness journey and connect with a community. You can track a variety of exercises and store your results in the app. Did you know you can also download this data as .fit files?

In this blog, we walk you through (pun intended!) downloading your Strava data and importing it into Deephaven Community Core, where you can get an overview of your performance and even use this information to adjust your routine for more health benefits.

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· 6 min read
Amanda Martin

Each morning, the world waits to see if a 13-year-old pug named Noodle is having a “Bones day” or a “No Bones day.” Over the last few months, Noodle’s owner, Jonathan, has chronicled declarations of Nones/No Bones days via TikTok, which depend on Noodle's reaction after Jonathan picks him up from his dog bed.

If Noodle remains standing when Jonathan pulls away, it is a Bones day. This has come to symbolize a productive day and the permission to take risks. However, if Noodle falls down, it is a No Bones day, when viewers are encouraged to indulge in self-care or enjoy a lazy, relaxing day.

Users across social media have rallied around this concept, eagerly awaiting Noodle's pronouncements, especially if an important event is coming up, like a job interview or even their wedding day. You may be wondering: Is there rhyme or reason to Bones vs. No Bones days?

Right now, there are relatively few data points (by our team’s count, we have less than 40 readings), but there is enough to work with to start building a predictor model that can help guide our days when Noodle hasn’t posted or we have an important date coming up (which ideally would fall on a Bones day).

· 3 min read
Pete Goddard

Remember when Egon Spengler had a radical idea? We’ve got to cross the streams, he said. It was the only way to win. Well, in our world we’re wrangling data, not ghosts, but the same concept holds true. When tackling complex data problems especially, crossing the streams is not only good, but necessary.

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· 4 min read
Pete Goddard

Deephaven Data Labs, a high performance time-series database, today announced the release of Deephaven Community Core, a free, real-time analytics data engine with relational database features. Now available to the open source community, Deephaven Community Core empowers data developers and data scientists to access and apply dynamic and real-time data capabilities to help solve their big data use cases that drive analytics and applications.

· 3 min read
Pete Goddard

It's natural to frame new information in the context of what you already know and understand. The same is true when determining where new vendors and technology/solution providers fit into established marketplaces. Deephaven enters an arena defined by Kafka, Spark, Influx, Redshift, BigQuery, Snowflake, Postgres, and dozens of other players.