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InfluxDB is the leading time series platform. It’s About Time. ⏱️

San Francisco
Joined October 2013
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Knowing which agents to update shouldn’t take a manual audit. In Telegraf Controller 1.2, Telegraf Enterprise checks published Telegraf security advisories against the version each agent reports and flags the ones that are affected. Every Controller user also gets agent-level metrics and logs, so you can read the error behind a data gap without shell access to the host. Getting started takes a single docker run. PM @scott_dsgn has the command and everything else in 1.2: bit.ly/4sshpDq
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The Downsampling Plugin in #InfluxDB 3 automatically reduces data resolution over time. Keep minute-by-minute data recent, and aggregate to hourly for history. One-click install. Zero code. ↴
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Let’s be honest: getting the size of your deployment right is what makes or breaks real-world performance and cost. This blog on Amazon Timestream for #InfluxDB 3 shows you how to match your workload to the right deployment strategy, so you’re not overpaying or underpowered. If you're planning a deployment or optimizing an existing one, this guide is worth a look. 👇 go.aws/4uFkfF5
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From fragmented data to unified telemetry. Discover how ju:niz Energy uses #influxdb to power real-time insights across BESS infrastructure. Read the story 🔋⚡ bit.ly/4c3zLnK
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Join #influxdb's Andrew Lamb at the Apache DataFusion meetup in San Francisco on November 10 👇👇
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Five new #InfluxDB Processing Engine plugins have landed. From SageMaker inference to Chronos forecasting, these additions expand a growing library for data transformation, downsampling, anomaly detection, alerting, and more, all running inside your existing InfluxDB instance. Watch the video 👇
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InfluxData CEO @evankaplan sat down with @JamesMaguire to explain how time series data has become foundational for the modern enterprise. He detailed how specialized databases outperform general-purpose systems for fast, high-resolution data, why devs must increasingly start projects with time series in mind, and how #InfluxDB 3 represents a total architectural overhaul built for scale, performance, and real-time intelligence: bit.ly/4q1sYPx
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A failing satellite gives you until the next ground pass to notice. 🛰 Catch a live InfluxDB 3 Enterprise demo of a fleet that flags anomalies before any threshold fires. 🗓 Nov 3, 2026, 8AM PT | 4PM GMT bit.ly/4zZmjdD #InfluxDB
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With nearly 85 facilities across 18 countries, American Axle & Manufacturing @dauchcorp needed visibility across a distributed manufacturing environment. Using the TIG stack, AAM monitors 78 remote file servers and provides database performance alerts across its enterprise data infrastructure. #influxdb Learn why automotive manufacturers are augmenting data historians, not replacing them: bit.ly/4rSoFbb
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Managing smart devices across multiple platforms gets messy fast. Home Assistant integrations let you control everything from a single interface, and pairing it with #InfluxDB gives you the data backbone to turn reactive automation into proactive control. Here are 9 integrations you should be using in 2026. → bit.ly/4dK8Egt
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Collecting data from edge devices is one thing. Turning it into actionable insights across your distributed infrastructure is another. #InfluxDB handles both, so you can optimize performance where it matters most. youtube.com/watch?v=EbTGnu7x…
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InfluxDB + @Grafana = a tried-and-true pairing for time series monitoring. With #InfluxDB 3, connecting the two is simpler than ever. No third-party plugin or new query language required. Our latest guide shows you how to go from data ingestion to a real Grafana dashboard using a realistic smart-building dataset. Read the guide: bit.ly/4yZRzJ9
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Planning a migration or scaling a workload you’ve outgrown? Bring it to #AWSreInvent and we’ll make the time count. Book a meeting with the InfluxDB and Amazon Timestream for InfluxDB teams, Nov 30–Dec 4 in Las Vegas. @awsevents #InfluxDB ➡️ bit.ly/4hsKpF6
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AI agents are only as useful as the data they can access. The official #InfluxDB 3 MCP Server connects Claude, ChatGPT, and other AI agents to InfluxDB 3 using natural language. New in v1.3.0: ✅ Protocol compliance testing ✅ Expanded integration tests ✅ Improved npm packaging ✅ Support across all InfluxDB 3 editions Read more: bit.ly/3S03dmO
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Databases that just store data? That's yesterday's architecture. The future is intelligence at the database layer: detecting anomalies, forecasting trends, and triggering actions in real-time. No external pipelines. No delay. Read #InfluxDB CEO @evankaplan's take on what's next: bit.ly/434sQ8D via @BigDATAwireNews
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Disputing a power charge comes down to whose timeline holds up. Discover how Seadrill, Loft Orbital, WideOpenWest, and others use InfluxDB 3 Enterprise to protect revenue with machine data. 🗓 Nov 3, 2026, 8AM PT | 4PM GMT bit.ly/4zZmjdD #InfluxDB
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Formatting dates in C# is easier than you think. ✅ Whether you’re parsing strings, converting time zones, or comparing dates, this guide has you covered with examples you can copy and run. ⬇️ bit.ly/3VY7iHV #InfluxDB
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What’s the difference between #InfluxDB 3 Core and Enterprise? 🤔 As an open source offering, InfluxDB 3 Core is a recent-data engine for real-time sensor monitoring, edge data collection, and streaming analytics. InfluxDB 3 Enterprise includes support, compaction for performant historical analysis over wide windows, better scaling, and security for enterprise-scale operations. Dev Advocate @influxcole breaks down when to use each. Watch the walkthrough 🎥 bit.ly/4lr0Bcj
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Should you switch your InfluxDB client to Rust? For many workloads, no. But for high-throughput ingest, constrained edge environments, or Rust-native telemetry pipelines, it might be time. Meet the new async Rust client for #InfluxDB 3 → bit.ly/4qrQwhQ
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Bevi's smart water coolers stream every dispense plus CO₂ pressure and water temp readings. Once ingestion started straining, Telegraf began batching events into groups of thousands before writing to #InfluxDB. The result: zero overload crashes and ~2,500 events/sec. Find out how: bit.ly/4rAxV3N
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Operational data doesn’t wait for batch jobs. River-based plugins for #InfluxDB 3 bring online ML directly to streaming data, continuously detecting anomalies, generating forecasts + building profiles as new data arrives. See how each plugin works 👇
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