InfluxData
@InfluxDB
InfluxDB is the leading time series platform. It’s About Time. ⏱️
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NEW: #InfluxDB 3.7 is now live! This release adds: ➡️ One-click monitoring in the Explorer UI ➡️ Faster install via Docker Compose ➡️ More control over Processing Engine triggers Spin it up and see what your system’s doing instantly. Available for Core (open source) and…
Real-time flight telemetry at 60 FPS isn't just a gaming flex—it's a blueprint for enterprise aviation systems! ✈️ We built a complete pipeline: FSUIPC → C# bridge → #InfluxDB 3 Enterprise → live dashboards with sub-10ms queries. Check it out here: bit.ly/46teiCe
The #InfluxDB 3 plugin ecosystem is packed with tools for smarter data workflows. Export to Iceberg, detect anomalies, send alerts, or downsample data, all in one flexible system built to manage your time series data in motion. bit.ly/4nGlPTN
#InfluxDB 3 Core and Enterprise run on a stateless, “diskless” architecture that separates compute from storage and persists all data to object storage like S3 or GCS. The result? Simpler ops, horizontal scaling, and built-in durability. No clustering logic or data replication…
Time series data isn't just for metrics; it's a security superpower! 🦸 While SIEMs correlate alerts, time series databases let you hunt threats across months of data, catch "impossible logins" across SaaS tools, and respond in real-time without breaking your budget:…
Time series data has unique characteristics that set it apart from other data types. Explore the fundamentals and why they matter for how you build and scale your applications. #InfluxDB youtube.com/watch?v=wBWTj-…
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YouTube
InfluxDB: The Basics of Time Series Data
Not all metrics are worth keeping. Learn how Telegraf filters let you decide what data makes it through so you only store what actually matters. 📊 #InfluxDB
Build time series forecasting without writing code! 🤩 This tutorial shows how to predict Wikipedia page views using #InfluxDB 3 Core's Python Processing Engine and Prophet—all implemented through LLM prompts: bit.ly/45uYU7K via @thenewstack
OpenGuardrails is a new open-source model that flags unsafe AI outputs across 119 languages. What sets it apart? Configurable policies you can tune at runtime — not fixed, one-size-fits-all safety rules. But as Peter Albert, CISO at InfluxData, points out, adopting a tool like…
The TIG stack (Telegraf, #InfluxDB 3, Grafana) gives you a complete pipeline for collecting, storing, and visualizing time series data. This tutorial walks through setup and configuration for monitoring CPU metrics: bit.ly/4kyKI2c via @thenewstack
Physical AI shifts machine learning to where the data originates: at the sensor, without the latency of a cloud round-trip. Edge Impulse + the InfluxDB 3 Processing Engine enable real-time intelligence directly at the edge, powering predictive maintenance and operational…
Data centers generate millions of metrics per second. Legacy monitoring systems can't keep up. #InfluxDB 3 handles the volume, cardinality, and latency, enabling real-time insights for PUE, uptime, and predictive maintenance without complex ETL pipelines. 👉…
Every data point carries weight when it’s bound to time, whether it’s a trade, a sensor reading, or a system log. #InfluxDB captures both metrics and events, so you see everything happening between the intervals, not just after them.↴
The #InfluxDB Python client library makes admin tasks straightforward. Learn which operations you can handle programmatically and when to use them! 🔽 youtube.com/watch?v=xw46Ax…
youtube.com
YouTube
Using the InfluxDB Python Client Library Administrative APIs
Every 15 seconds, Nexus BMS ingests thousands of sensor readings to fine-tune fan coils and clean room environments. With #InfluxDB, monitoring evolves into real-time control. bit.ly/4ntAv8N
Physical AI in space needs deterministic answers, not probabilistic ones. When a satellite detects a collision risk and fires thrusters, precision matters. That's why purpose-built time series infrastructure is becoming mission-critical for aerospace: bit.ly/3L1qnFR…
Most databases are built to react after the fact. But what if your database could detect anomalies, forecast trends, and trigger actions in real-time—right where the data lives? @EvanKaplan shares how #InfluxDB turns time series data into action. ➡️ bit.ly/434sQ8D
InfluxDB 3 uses two storage tiers: hot for recent data you query often, cold for historical data. Smart tiering means lower costs without sacrificing performance. 📊
If you have questions about #InfluxDB 3 Enterprise, our team is here to help! Join us every Wednesday for open office hours with InfluxData experts. Whether you're troubleshooting, exploring features during your trial, or looking for best practices, bring your questions and…
#InfluxDB 3 Explorer gives you a simple way to manage your InfluxDB 3 instance. Query and visualize data, write with Telegraf or Line Protocol, and get system-wide visibility—all through a clean, uncomplicated interface built for operational control.
Power BI users can now connect to #InfluxDB 3 with our new ODBC connector! Query your time series data directly and build visualizations without the headache. This guide covers setup, Docker configs, and getting your first visualization running. → bit.ly/3X8ezV3
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