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Platform InfluxDB enables real-time analytics by serving as a purpose-built database that optimizes processing and scaling InfluxDB 3.0 Overview Better ingest performance, sub-second queries, and lower storage costs Integrations 300+ plugins for easy interoperability Connectors Use with popular client libraries, tools, and open source projects Easy Data Collection Telegraf collects data from 300+
InfluxDB 2.0 Alpha Release and the Road Ahead By Paul Dix / Jan 23, 2019 / Company, Product Today we’re releasing the first alpha build of InfluxDB 2.0. Our vision for 2.0 is to collapse the TICK Stack into one cohesive and consistent whole which combines the time series database, the UI and dashboarding tool, and the background processing and monitoring agent behind a single API. The move from th
Rust can be difficult to learn and frustrating, but it's also the most exciting thing in software development in a long time By Paul Dix / Oct 22, 2018 / Use Cases, Developer I recently decided to put serious effort into learning the Rust programming language. I saw it coming up frequently in interesting projects (e.g. ripgrep) and kept hearing good things about it. My hesitation to picking up Rus
Will Kubernetes Collapse Under the Weight of Its Complexity? By Paul Dix / May 24, 2018 / Use Cases, Developer Thoughts About the Importance of Serving Application Developers A few weeks ago, I attended and spoke at KubeCon EU. It was a massive event attended by around 4,700 people. I was reminded of the OpenStack summit in Paris in November 2014. It had the same level of crazy hype, vendor displa
InfluxData is Building a Fast Implementation of Apache Arrow in Go Using c2goasm and SIMD By Stuart Carnie / Mar 22, 2018 / Product, Use Cases, Developer, Company InfluxData is pleased to announce our contribution to the Apache Arrow project. Essentially, we are contributing work that we already started: the development of a Go implementation of Apache Arrow. We believe in open source and are comm
Monitoring Kubernetes Architecture By Gianluca Arbezzano / Mar 19, 2018 / Product, Use Cases, Developer There are two important points you need to think about when monitoring a Kubernetes architecture. One is about the underlying resources, the bare metal Kubernetes is running on. The second is related to every service, ingress, and pod that you deployed. To have good visibility into your clusters
I decided to start with something I do know how to do and try adding a small amount of metrics tools to see what I could learn about a simple Rails app. Rails was a good choice for two reasons: (1) I know how to write Ruby and use Rails, so I can focus on metrics, and (2) Rails often goes unmeasured because we use robust test suites and other tools to tell us what’s going on. I pulled a Frankenste
Last month I attended PromCon, the annual Prometheus conference, in Munich. The conference had a mix of talks from users to implementers with topics ranging from how-to’s and case studies to details on the implementation of the Prometheus 2.0 storage engine. I gave a talk on Integrating InfluxDB and Prometheus. After my talk I had multiple people come up to me and express interest in more integrat
What is InfluxDB? Build real-time applications for analytics, IoT, and cloud-native services in less time with less code using InfluxDB. Find the right product
Update: Since I wrote this post we’ve delivered on the things I’ve promised. We have continued to improve our open source platform with 88 new features and 133 bug fixes to InfluxDB. This includes performance enhancements and all new query functionality like Holt-Winters, moving averages, and killing long running queries. We created influx-relay as a pure open source option for high-availability s
Today we’re announcing that InfluxDB, the company, is now InfluxData. This is the beginning of delivering on our long-term vision: to create the platform for developing apps, services and IoT architectures that rely on time series data. To us, time series data is important not just because it tracks things changing in time, but because tracking that change is exactly what informs historical trends
Platform InfluxDB enables real-time analytics by serving as a purpose-built database that optimizes processing and scaling Real-Time Analytics Lightning-fast ingest and queries for time-based columnar data Time Series Analytics Efficiently ingest, query, and store time-based data InfluxDB 3.0 Overview Better ingest performance, sub-second queries, and lower storage costs Integrations 300+ plugins
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